Package evaluation to test RayTraceHeatTransfer on Julia 1.14.0-DEV.1699 (993b392fda*) started at 2026-02-13T23:38:31.234 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.92s ################################################################################ # Installation # Installing RayTraceHeatTransfer... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [7cf1493d] + RayTraceHeatTransfer v0.6.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [49dc2e85] + Calculus v0.5.2 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [ffbed154] + DocStringExtensions v0.9.5 [411431e0] + Extents v0.1.6 [5c1252a2] + GeometryBasics v0.5.10 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [692b3bcd] + JLLWrappers v1.7.1 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [eff96d63] + Measurements v2.14.0 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [7cf1493d] + RayTraceHeatTransfer v0.6.1 [a2af1166] + SortingAlgorithms v1.2.2 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.34.6 [5ae413db] + EarCut_jll v2.2.4+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.35s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1450.3 ms ✓ Measurements 4753.6 ms ✓ StatsBase 6516.1 ms ✓ RayTraceHeatTransfer 3 dependencies successfully precompiled in 13 seconds. 58 already precompiled. Precompilation completed after 33.27s ################################################################################ # Testing # Testing RayTraceHeatTransfer Status `/tmp/jl_QgHqAs/Project.toml` [5c1252a2] GeometryBasics v0.5.10 ⌅ [eff96d63] Measurements v2.14.0 [92933f4c] ProgressMeter v1.11.0 [7cf1493d] RayTraceHeatTransfer v0.6.1 [90137ffa] StaticArrays v1.9.16 ⌅ [2913bbd2] StatsBase v0.34.6 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_QgHqAs/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [49dc2e85] Calculus v0.5.2 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [ffbed154] DocStringExtensions v0.9.5 [411431e0] Extents v0.1.6 [5c1252a2] GeometryBasics v0.5.10 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [692b3bcd] JLLWrappers v1.7.1 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [eff96d63] Measurements v2.14.0 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [7cf1493d] RayTraceHeatTransfer v0.6.1 [a2af1166] SortingAlgorithms v1.2.2 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.34.6 [5ae413db] EarCut_jll v2.2.4+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ================================================================================ STARTING COMPREHENSIVE TEST SUITE ================================================================================ ------------------------------------------------------------ Testing 3D View Factors ------------------------------------------------------------ Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.2493092599238253e-15 Converged after 6 iterations. d = 1.7554167342883506e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 9.899056296961976e-16 Converged after 5 iterations. d = 8.777083671441753e-17 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 6.080941944488118e-16 Converged after 5 iterations. d = 1.798766884999431e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 5.162835502930473e-16 Converged after 10 iterations. d = 1.9229626863835638e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3911054626160788e-15 Converged after 8 iterations. d = 1.7554167342883506e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 7.162874682589104e-16 Converged after 8 iterations. d = 1.7554167342883506e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.2875715499064634e-15 Converged after 5 iterations. d = 1.3597399555105182e-16 ✓ 3D View Factor tests complete ------------------------------------------------------------ Testing 3D Heat Transfer ------------------------------------------------------------ Computing view factors (geometry only, wavelength-independent)... Matrix size: 150×150 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.5447360816507047e-15 Converged after 5 iterations. d = 1.3944809801037358e-16 === 3D Surface-Only Grey Solver === Found 150 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 150 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 150×150 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.5447360816507047e-15 Converged after 5 iterations. d = 1.3944809801037358e-16 === 3D Surface-Only Grey Solver === Found 150 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 150 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 150×150 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.5447360816507047e-15 Converged after 5 iterations. d = 1.3944809801037358e-16 === 3D Surface-Only Grey Solver === Found 150 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 150 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.7526145670900904e-15 Converged after 6 iterations. d = 1.4226597660905571e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.675788675092768e-15 Converged after 5 iterations. d = 1.8155469240802306e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.5407671817066656e-15 Converged after 5 iterations. d = 1.665031176662253e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === ✓ 3D Heat Transfer tests complete ------------------------------------------------------------ Testing 2D Grey Participating Media ------------------------------------------------------------ Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 ┌ Warning: `Progress(n::Integer, dt::Real, desc::AbstractString = "Progress: ", barlen = nothing, color::Symbol = :green, output::IO = stderr; offset::Integer = 0)` is deprecated, use `Progress(n; dt = dt, desc = desc, barlen = barlen, color = color, output = output, offset = offset)` instead. │ caller = ip:0x0 └ @ Core :-1 Bin 1 progress: 1%|▍ | ETA: 0:04:07 Bin 1 progress: 35%|███████████▋ | ETA: 0:00:09 Bin 1 progress: 69%|██████████████████████▊ | ETA: 0:00:03 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:06 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001137678325194998 Iteration 10: d = 1.6063061909632167e-5 Iteration 20: d = 2.6701613568946166e-7 Iteration 30: d = 4.730796348233348e-9 Iteration 40: d = 8.518409005732756e-11 Iteration 50: d = 1.5428455549825237e-12 Iteration 60: d = 2.8025273729242762e-14 Converged after 67 iterations. d = 1.7019301602480488e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 1 progress: 77%|█████████████████████████▍ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0011766103683494649 Iteration 10: d = 1.590100366217113e-5 Iteration 20: d = 2.615203896488953e-7 Iteration 30: d = 4.6056425362999e-9 Iteration 40: d = 8.237262011668825e-11 Iteration 50: d = 1.4816049388163534e-12 Iteration 60: d = 2.6706887563507635e-14 Converged after 67 iterations. d = 1.6363365587796987e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 45%|███████████████ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0010905199931660725 Iteration 10: d = 8.833663464152934e-6 Iteration 20: d = 1.229035481219413e-7 Iteration 30: d = 2.08741997549423e-9 Iteration 40: d = 3.6731158406625143e-11 Iteration 50: d = 6.518133180345456e-13 Iteration 60: d = 1.1583411783031109e-14 Converged after 65 iterations. d = 1.5659567288440702e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 58%|███████████████████▎ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001028203802453198 Iteration 10: d = 9.083532509760589e-6 Iteration 20: d = 1.286080326375866e-7 Iteration 30: d = 2.1986299484856687e-9 Iteration 40: d = 3.8989474769570655e-11 Iteration 50: d = 6.95261926053432e-13 Iteration 60: d = 1.234438954883782e-14 Converged after 65 iterations. d = 1.6361835645831602e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 40%|█████████████▎ | ETA: 0:00:02 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001165641005349775 Iteration 10: d = 8.3763962922893e-6 Iteration 20: d = 1.08880579284828e-7 Iteration 30: d = 1.6878359429203878e-9 Iteration 40: d = 2.6341581089129685e-11 Iteration 50: d = 4.1089235903785224e-13 Iteration 60: d = 6.3846633004011556e-15 Converged after 63 iterations. d = 1.8275616153518112e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 56%|██████████████████▍ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012354648011205463 Iteration 10: d = 1.0789851580996794e-5 Iteration 20: d = 1.5173349596926763e-7 Iteration 30: d = 2.35644249705786e-9 Iteration 40: d = 3.674072422017248e-11 Iteration 50: d = 5.725603718899107e-13 Iteration 60: d = 8.95369943919308e-15 Converged after 64 iterations. d = 1.6792524452057623e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 57%|██████████████████▉ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001206491779423874 Iteration 10: d = 8.508732985360803e-6 Iteration 20: d = 1.0252789116659861e-7 Iteration 30: d = 1.5575892304272302e-9 Iteration 40: d = 2.420917288378706e-11 Iteration 50: d = 3.771766512926259e-13 Iteration 60: d = 5.880321408791961e-15 Converged after 63 iterations. d = 1.6603301453707736e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 60%|███████████████████▊ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013740877691143427 Iteration 10: d = 1.3115531732098223e-5 Iteration 20: d = 1.529064820806532e-7 Iteration 30: d = 2.07653492978026e-9 Iteration 40: d = 3.008786088570773e-11 Iteration 50: d = 4.5245298080191616e-13 Iteration 60: d = 6.95195916288515e-15 Converged after 63 iterations. d = 1.9677838904722905e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 56%|██████████████████▍ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013472748124515894 Iteration 10: d = 1.323967614893252e-5 Iteration 20: d = 1.4922097403446653e-7 Iteration 30: d = 1.93386326757563e-9 Iteration 40: d = 2.7143374797445378e-11 Iteration 50: d = 4.0095641012215537e-13 Iteration 60: d = 6.122151656302407e-15 Converged after 63 iterations. d = 1.744333490737417e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 56%|██████████████████▍ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012068934989189744 Iteration 10: d = 1.1623308569535053e-5 Iteration 20: d = 1.555020619815811e-7 Iteration 30: d = 2.305369385651841e-9 Iteration 40: d = 3.5015647648009996e-11 Iteration 50: d = 5.376679598627604e-13 Iteration 60: d = 8.315680836935537e-15 Converged after 64 iterations. d = 1.5586289922002368e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Smoothing single F matrix for grey extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0045766475258854885 Iteration 10: d = 5.664457340987676e-5 Iteration 20: d = 7.142395363460648e-7 Iteration 30: d = 9.636829464893996e-9 Iteration 40: d = 1.3171355819746184e-10 Iteration 50: d = 1.8070691604268822e-12 Iteration 60: d = 2.4872029845567663e-14 Converged after 66 iterations. d = 1.9338130945791857e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 20 surfaces and 25 volumes (total: 45 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 25 volumes, 20 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0032553784775396014 Iteration 10: d = 2.4929772640495642e-5 Iteration 20: d = 2.2598864602364867e-7 Iteration 30: d = 2.9749071688083822e-9 Iteration 40: d = 4.392910838570966e-11 Iteration 50: d = 6.663775411428838e-13 Iteration 60: d = 1.0165366823384491e-14 Converged after 64 iterations. d = 1.9085205647851206e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Smoothing single F matrix for grey extinction Matrix size: 117×117 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0027925425450597047 Iteration 10: d = 2.0427141201954313e-5 Iteration 20: d = 2.7885681347772974e-7 Iteration 30: d = 4.615963115127408e-9 Iteration 40: d = 7.83689032061406e-11 Iteration 50: d = 1.3341068548668493e-12 Iteration 60: d = 2.269243007317405e-14 Converged after 66 iterations. d = 1.9594694853065888e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 36 surfaces and 81 volumes (total: 117 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 81 volumes, 36 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001776790866396869 Iteration 10: d = 1.2096622856064969e-5 Iteration 20: d = 1.5462148590904137e-7 Iteration 30: d = 2.5457359279246223e-9 Iteration 40: d = 4.303982672220692e-11 Iteration 50: d = 7.286122122427244e-13 Iteration 60: d = 1.2293410844584697e-14 Converged after 65 iterations. d = 1.5966196348200016e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 42%|█████████████▊ | ETA: 0:00:01 Bin 1 progress: 82%|███████████████████████████ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001165641005349775 Iteration 10: d = 8.3763962922893e-6 Iteration 20: d = 1.08880579284828e-7 Iteration 30: d = 1.6878359429203878e-9 Iteration 40: d = 2.6341581089129685e-11 Iteration 50: d = 4.1089235903785224e-13 Iteration 60: d = 6.3846633004011556e-15 Converged after 63 iterations. d = 1.8275616153518112e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 28 surfaces and 49 volumes (total: 77 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 49 volumes, 28 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === ✓ 2D Grey Participating Media tests complete ------------------------------------------------------------ Testing 2D Spectral Participating Media ------------------------------------------------------------ Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 40%|█████████████▎ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████▏ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015014994650382005 Iteration 10: d = 1.491736154089272e-5 Iteration 20: d = 1.7367827065529974e-7 Iteration 30: d = 2.374635769608289e-9 Iteration 40: d = 3.3308826267105215e-11 Iteration 50: d = 4.684356579350792e-13 Iteration 60: d = 6.575479762645111e-15 Converged after 63 iterations. d = 1.8361651171795766e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 20 surfaces and 25 volumes (total: 45 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 25 volumes, 20 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████▏ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015874439927717789 Iteration 10: d = 1.3407933077879126e-5 Iteration 20: d = 1.4215965354017044e-7 Iteration 30: d = 1.838280655772984e-9 Iteration 40: d = 2.4805915662289615e-11 Iteration 50: d = 3.395677073436496e-13 Iteration 60: d = 4.653569178897561e-15 Converged after 62 iterations. d = 1.9431896693278045e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.7043129679 Iteration 2: convergence error = 4822.969427380678 Iteration 3: convergence error = 1086.2309748958965 Iteration 4: convergence error = 319.07433606626773 Iteration 5: convergence error = 94.60924416617945 Iteration 6: convergence error = 28.440911002790926 Iteration 7: convergence error = 8.55852128439733 Iteration 8: convergence error = 2.5650247352102724 Iteration 9: convergence error = 0.7668952638468909 Iteration 10: convergence error = 0.22896850609868125 Iteration 11: convergence error = 0.06830785298188857 Iteration 12: convergence error = 0.020368985180084564 Iteration 13: convergence error = 0.006072343803907643 Iteration 14: convergence error = 0.0018100031704761932 Iteration 15: convergence error = 0.0005394678225911775 Iteration 16: convergence error = 0.00016077944997050508 Iteration 17: convergence error = 4.7916294761307654e-5 Iteration 18: convergence error = 1.4280017467172001e-5 Iteration 19: convergence error = 4.255692374499631e-6 Iteration 20: convergence error = 1.26826034829719e-6 Iteration 21: convergence error = 3.7796212382090744e-7 Iteration 22: convergence error = 1.1250199349888135e-7 Iteration 23: convergence error = 3.261038727941923e-8 Iteration 24: convergence error = 9.402128853253089e-9 Iteration 25: convergence error = 2.7037003746954724e-9 Iteration 26: convergence error = 7.753442332614213e-10 Iteration 27: convergence error = 2.2328094928525388e-10 Iteration 28: convergence error = 6.343725544866174e-11 Iteration 29: convergence error = 1.9099388737231493e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████▏ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015014994650382005 Iteration 10: d = 1.491736154089272e-5 Iteration 20: d = 1.7367827065529974e-7 Iteration 30: d = 2.374635769608289e-9 Iteration 40: d = 3.3308826267105215e-11 Iteration 50: d = 4.684356579350792e-13 Iteration 60: d = 6.575479762645111e-15 Converged after 63 iterations. d = 1.8361651171795766e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.610216156208 Iteration 2: convergence error = 4823.448753098937 Iteration 3: convergence error = 1096.3373747451355 Iteration 4: convergence error = 321.4773152856519 Iteration 5: convergence error = 95.32007660479803 Iteration 6: convergence error = 28.414550259553835 Iteration 7: convergence error = 8.520052985591064 Iteration 8: convergence error = 2.553229862957778 Iteration 9: convergence error = 0.7633312191651385 Iteration 10: convergence error = 0.22790052028358332 Iteration 11: convergence error = 0.06798941332840513 Iteration 12: convergence error = 0.02027432377576588 Iteration 13: convergence error = 0.006044256750556087 Iteration 14: convergence error = 0.0018016791736954474 Iteration 15: convergence error = 0.0005370027088247298 Iteration 16: convergence error = 0.0001600497591880412 Iteration 17: convergence error = 4.7700372533654445e-5 Iteration 18: convergence error = 1.4216138652045629e-5 Iteration 19: convergence error = 4.236794438838842e-6 Iteration 20: convergence error = 1.2626762782019796e-6 Iteration 21: convergence error = 3.763084350794088e-7 Iteration 22: convergence error = 1.1200745575479232e-7 Iteration 23: convergence error = 3.246987034799531e-8 Iteration 24: convergence error = 9.357790986541659e-9 Iteration 25: convergence error = 2.688466338440776e-9 Iteration 26: convergence error = 7.710241334279999e-10 Iteration 27: convergence error = 2.1873347577638924e-10 Iteration 28: convergence error = 6.298250809777528e-11 Iteration 29: convergence error = 1.77351466845721e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Running direct ray tracing for 10 spectral bins Processing spectral bin 1/10 ┌ Warning: No emitters found for spectral bin 1 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 1 ray tracing: 0%| | ETA: 13:45:45 Bin 1 ray tracing: 8%|██▍ | ETA: 0:01:08 Bin 1 ray tracing: 16%|████▊ | ETA: 0:00:39 Bin 1 ray tracing: 24%|███████▎ | ETA: 0:00:26 Bin 1 ray tracing: 32%|█████████▋ | ETA: 0:00:20 Bin 1 ray tracing: 40%|████████████▏ | ETA: 0:00:15 Bin 1 ray tracing: 49%|██████████████▋ | ETA: 0:00:12 Bin 1 ray tracing: 57%|█████████████████▎ | ETA: 0:00:09 Bin 1 ray tracing: 66%|███████████████████▉ | ETA: 0:00:07 Bin 1 ray tracing: 75%|██████████████████████▍ | ETA: 0:00:05 Bin 1 ray tracing: 83%|█████████████████████████ | ETA: 0:00:03 Bin 1 ray tracing: 92%|███████████████████████████▋ | ETA: 0:00:01 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:17 Updating spectral results for spectral bin 1 Energy per ray: 0.0 Processing spectral bin 2/10 ┌ Warning: No emitters found for spectral bin 2 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 2 ray tracing: 9%|██▋ | ETA: 0:00:11 Bin 2 ray tracing: 18%|█████▎ | ETA: 0:00:09 Bin 2 ray tracing: 27%|████████ | ETA: 0:00:08 Bin 2 ray tracing: 35%|██████████▋ | ETA: 0:00:07 Bin 2 ray tracing: 44%|█████████████▎ | ETA: 0:00:06 Bin 2 ray tracing: 53%|███████████████▉ | ETA: 0:00:05 Bin 2 ray tracing: 62%|██████████████████▌ | ETA: 0:00:04 Bin 2 ray tracing: 70%|█████████████████████ | ETA: 0:00:03 Bin 2 ray tracing: 79%|███████████████████████▋ | ETA: 0:00:02 Bin 2 ray tracing: 87%|██████████████████████████▎ | ETA: 0:00:01 Bin 2 ray tracing: 96%|████████████████████████████▉ | ETA: 0:00:00 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 2 Energy per ray: 0.0 Processing spectral bin 3/10 ┌ Warning: No emitters found for spectral bin 3 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 3 ray tracing: 8%|██▌ | ETA: 0:00:11 Bin 3 ray tracing: 17%|█████▏ | ETA: 0:00:10 Bin 3 ray tracing: 26%|███████▋ | ETA: 0:00:09 Bin 3 ray tracing: 34%|██████████▎ | ETA: 0:00:08 Bin 3 ray tracing: 43%|████████████▉ | ETA: 0:00:07 Bin 3 ray tracing: 52%|███████████████▌ | ETA: 0:00:06 Bin 3 ray tracing: 60%|██████████████████▏ | ETA: 0:00:05 Bin 3 ray tracing: 69%|████████████████████▊ | ETA: 0:00:04 Bin 3 ray tracing: 78%|███████████████████████▍ | ETA: 0:00:03 Bin 3 ray tracing: 87%|██████████████████████████ | ETA: 0:00:02 Bin 3 ray tracing: 95%|████████████████████████████▋ | ETA: 0:00:01 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 10%|██▉ | ETA: 0:00:10 Bin 4 ray tracing: 19%|█████▋ | ETA: 0:00:09 Bin 4 ray tracing: 28%|████████▍ | ETA: 0:00:08 Bin 4 ray tracing: 37%|███████████▏ | ETA: 0:00:07 Bin 4 ray tracing: 46%|█████████████▉ | ETA: 0:00:06 Bin 4 ray tracing: 55%|████████████████▋ | ETA: 0:00:05 Bin 4 ray tracing: 64%|███████████████████▎ | ETA: 0:00:04 Bin 4 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 4 ray tracing: 82%|████████████████████████▊ | ETA: 0:00:02 Bin 4 ray tracing: 91%|███████████████████████████▍ | ETA: 0:00:01 Bin 4 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 4 Energy per ray: 0.0001853335835185918 Processing spectral bin 5/10 Bin 5 ray tracing: 9%|██▊ | ETA: 0:00:10 Bin 5 ray tracing: 18%|█████▌ | ETA: 0:00:09 Bin 5 ray tracing: 27%|████████▎ | ETA: 0:00:08 Bin 5 ray tracing: 36%|███████████ | ETA: 0:00:07 Bin 5 ray tracing: 46%|█████████████▊ | ETA: 0:00:06 Bin 5 ray tracing: 55%|████████████████▌ | ETA: 0:00:05 Bin 5 ray tracing: 64%|███████████████████▏ | ETA: 0:00:04 Bin 5 ray tracing: 73%|█████████████████████▉ | ETA: 0:00:03 Bin 5 ray tracing: 82%|████████████████████████▌ | ETA: 0:00:02 Bin 5 ray tracing: 91%|███████████████████████████▏ | ETA: 0:00:01 Bin 5 ray tracing: 99%|█████████████████████████████▉| ETA: 0:00:00 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 5 Energy per ray: 0.04303963948070305 Processing spectral bin 6/10 Bin 6 ray tracing: 9%|██▉ | ETA: 0:00:10 Bin 6 ray tracing: 19%|█████▋ | ETA: 0:00:09 Bin 6 ray tracing: 28%|████████▍ | ETA: 0:00:08 Bin 6 ray tracing: 37%|███████████▏ | ETA: 0:00:07 Bin 6 ray tracing: 46%|█████████████▉ | ETA: 0:00:06 Bin 6 ray tracing: 56%|████████████████▋ | ETA: 0:00:05 Bin 6 ray tracing: 65%|███████████████████▌ | ETA: 0:00:04 Bin 6 ray tracing: 74%|██████████████████████▎ | ETA: 0:00:03 Bin 6 ray tracing: 83%|█████████████████████████ | ETA: 0:00:02 Bin 6 ray tracing: 93%|███████████████████████████▉ | ETA: 0:00:01 Bin 6 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 6 Energy per ray: 0.013246116789219251 Processing spectral bin 7/10 Bin 7 ray tracing: 10%|██▉ | ETA: 0:00:09 Bin 7 ray tracing: 20%|█████▉ | ETA: 0:00:08 Bin 7 ray tracing: 30%|█████████ | ETA: 0:00:07 Bin 7 ray tracing: 40%|████████████ | ETA: 0:00:06 Bin 7 ray tracing: 50%|███████████████ | ETA: 0:00:05 Bin 7 ray tracing: 60%|██████████████████ | ETA: 0:00:04 Bin 7 ray tracing: 71%|█████████████████████▎ | ETA: 0:00:03 Bin 7 ray tracing: 82%|████████████████████████▌ | ETA: 0:00:02 Bin 7 ray tracing: 92%|███████████████████████████▊ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 10%|███ | ETA: 0:00:09 Bin 8 ray tracing: 20%|█████▉ | ETA: 0:00:09 Bin 8 ray tracing: 29%|████████▊ | ETA: 0:00:07 Bin 8 ray tracing: 39%|███████████▊ | ETA: 0:00:06 Bin 8 ray tracing: 49%|██████████████▊ | ETA: 0:00:05 Bin 8 ray tracing: 60%|██████████████████ | ETA: 0:00:04 Bin 8 ray tracing: 70%|█████████████████████▏ | ETA: 0:00:03 Bin 8 ray tracing: 81%|████████████████████████▎ | ETA: 0:00:02 Bin 8 ray tracing: 91%|███████████████████████████▍ | ETA: 0:00:01 Bin 8 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 8 Energy per ray: 1.0195075180910974e-6 Processing spectral bin 9/10 Bin 9 ray tracing: 11%|███▎ | ETA: 0:00:08 Bin 9 ray tracing: 21%|██████▌ | ETA: 0:00:08 Bin 9 ray tracing: 31%|█████████▎ | ETA: 0:00:07 Bin 9 ray tracing: 41%|████████████▏ | ETA: 0:00:06 Bin 9 ray tracing: 50%|███████████████▏ | ETA: 0:00:05 Bin 9 ray tracing: 62%|██████████████████▌ | ETA: 0:00:04 Bin 9 ray tracing: 72%|█████████████████████▊ | ETA: 0:00:03 Bin 9 ray tracing: 83%|█████████████████████████ | ETA: 0:00:02 Bin 9 ray tracing: 94%|████████████████████████████▎ | ETA: 0:00:01 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 10%|██▉ | ETA: 0:00:09 Bin 10 ray tracing: 20%|█████▊ | ETA: 0:00:08 Bin 10 ray tracing: 29%|████████▌ | ETA: 0:00:07 Bin 10 ray tracing: 39%|███████████▎ | ETA: 0:00:06 Bin 10 ray tracing: 49%|██████████████▏ | ETA: 0:00:05 Bin 10 ray tracing: 59%|█████████████████ | ETA: 0:00:04 Bin 10 ray tracing: 69%|████████████████████ | ETA: 0:00:03 Bin 10 ray tracing: 80%|███████████████████████▎ | ETA: 0:00:02 Bin 10 ray tracing: 91%|██████████████████████████▍ | ETA: 0:00:01 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Variable extinction detected - using variable ray tracing Found spectral variation: bin 2, face (1,1) β = 1.001111111111111 vs reference β = 1.0 Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing 10 separate F matrices for variable spectral extinction Computing F matrix for spectral bin 1/10 Using 1 threads for spectral bin 1 Bin 1 progress: 27%|████████▊ | ETA: 0:00:03 Bin 1 progress: 53%|█████████████████▋ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████▏ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 2/10 Using 1 threads for spectral bin 2 Bin 2 progress: 27%|████████▊ | ETA: 0:00:03 Bin 2 progress: 56%|██████████████████▍ | ETA: 0:00:02 Bin 2 progress: 84%|███████████████████████████▉ | ETA: 0:00:01 Bin 2 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 3/10 Using 1 threads for spectral bin 3 Bin 3 progress: 27%|████████▊ | ETA: 0:00:03 Bin 3 progress: 53%|█████████████████▋ | ETA: 0:00:02 Bin 3 progress: 80%|██████████████████████████▍ | ETA: 0:00:01 Bin 3 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 4/10 Using 1 threads for spectral bin 4 Bin 4 progress: 27%|████████▊ | ETA: 0:00:03 Bin 4 progress: 53%|█████████████████▋ | ETA: 0:00:02 Bin 4 progress: 80%|██████████████████████████▍ | ETA: 0:00:01 Bin 4 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 5/10 Using 1 threads for spectral bin 5 Bin 5 progress: 27%|████████▊ | ETA: 0:00:03 Bin 5 progress: 53%|█████████████████▋ | ETA: 0:00:02 Bin 5 progress: 80%|██████████████████████████▍ | ETA: 0:00:01 Bin 5 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 6/10 Using 1 threads for spectral bin 6 Bin 6 progress: 27%|████████▊ | ETA: 0:00:03 Bin 6 progress: 56%|██████████████████▍ | ETA: 0:00:02 Bin 6 progress: 84%|███████████████████████████▉ | ETA: 0:00:01 Bin 6 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 7/10 Using 1 threads for spectral bin 7 Bin 7 progress: 27%|████████▊ | ETA: 0:00:03 Bin 7 progress: 56%|██████████████████▍ | ETA: 0:00:02 Bin 7 progress: 84%|███████████████████████████▉ | ETA: 0:00:01 Bin 7 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 8/10 Using 1 threads for spectral bin 8 Bin 8 progress: 29%|█████████▌ | ETA: 0:00:03 Bin 8 progress: 58%|███████████████████▏ | ETA: 0:00:02 Bin 8 progress: 89%|█████████████████████████████▍ | ETA: 0:00:00 Bin 8 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 9/10 Using 1 threads for spectral bin 9 Bin 9 progress: 24%|████████▏ | ETA: 0:00:03 Bin 9 progress: 51%|████████████████▉ | ETA: 0:00:02 Bin 9 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 9 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 10/10 Using 1 threads for spectral bin 10 Bin 10 progress: 27%|████████▌ | ETA: 0:00:03 Bin 10 progress: 53%|█████████████████▏ | ETA: 0:00:02 Bin 10 progress: 80%|█████████████████████████▋ | ETA: 0:00:01 Bin 10 progress: 100%|████████████████████████████████| Time: 0:00:04 Smoothing F matrix for spectral bin 1/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015014994650382005 Iteration 10: d = 1.491736154089272e-5 Iteration 20: d = 1.7367827065529974e-7 Iteration 30: d = 2.374635769608289e-9 Iteration 40: d = 3.3308826267105215e-11 Iteration 50: d = 4.684356579350792e-13 Iteration 60: d = 6.575479762645111e-15 Converged after 63 iterations. d = 1.8361651171795766e-15 Smoothing F matrix for spectral bin 2/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015631289593210035 Iteration 10: d = 1.3118939655984907e-5 Iteration 20: d = 1.3878822729052906e-7 Iteration 30: d = 1.7971517693954683e-9 Iteration 40: d = 2.4294603677130478e-11 Iteration 50: d = 3.330276737434765e-13 Iteration 60: d = 4.556536253687464e-15 Converged after 62 iterations. d = 1.9433979405911857e-15 Smoothing F matrix for spectral bin 3/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0017070451033880225 Iteration 10: d = 1.8339841811103587e-5 Iteration 20: d = 2.1537421922486298e-7 Iteration 30: d = 2.7993998833883158e-9 Iteration 40: d = 3.7143731415388935e-11 Iteration 50: d = 4.971849783394125e-13 Iteration 60: d = 6.662844509017274e-15 Converged after 63 iterations. d = 1.8188789826148947e-15 Smoothing F matrix for spectral bin 4/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0011646393563130874 Iteration 10: d = 1.0054556010629406e-5 Iteration 20: d = 9.495866779719838e-8 Iteration 30: d = 1.1047396833098407e-9 Iteration 40: d = 1.4210446995605803e-11 Iteration 50: d = 1.927844836990189e-13 Iteration 60: d = 2.707464759037718e-15 Converged after 61 iterations. d = 1.7788409394606524e-15 Smoothing F matrix for spectral bin 5/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0017743031870278666 Iteration 10: d = 1.753973100606495e-5 Iteration 20: d = 2.05260708466347e-7 Iteration 30: d = 2.7245665286235862e-9 Iteration 40: d = 3.697079035458631e-11 Iteration 50: d = 5.05046272514938e-13 Iteration 60: d = 6.92293754728537e-15 Converged after 63 iterations. d = 1.8972768451676082e-15 Smoothing F matrix for spectral bin 6/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001249023984458814 Iteration 10: d = 1.270539693324101e-5 Iteration 20: d = 1.3918201128418066e-7 Iteration 30: d = 1.7987226350941255e-9 Iteration 40: d = 2.4524736223350663e-11 Iteration 50: d = 3.4089942427471074e-13 Iteration 60: d = 4.7649866857895125e-15 Converged after 62 iterations. d = 2.032877237493813e-15 Smoothing F matrix for spectral bin 7/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014909742244415074 Iteration 10: d = 1.533799807203613e-5 Iteration 20: d = 1.8017965030630386e-7 Iteration 30: d = 2.372608290365844e-9 Iteration 40: d = 3.228950061188716e-11 Iteration 50: d = 4.4572165380481734e-13 Iteration 60: d = 6.194882402307794e-15 Converged after 63 iterations. d = 1.7038054450011888e-15 Smoothing F matrix for spectral bin 8/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012550620897306764 Iteration 10: d = 1.2520217342547294e-5 Iteration 20: d = 1.535464455842348e-7 Iteration 30: d = 2.057653149089907e-9 Iteration 40: d = 2.8096856605916755e-11 Iteration 50: d = 3.869341934245623e-13 Iteration 60: d = 5.390136236758496e-15 Converged after 63 iterations. d = 1.5143554382440965e-15 Smoothing F matrix for spectral bin 9/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001313469287895768 Iteration 10: d = 1.3981082116155666e-5 Iteration 20: d = 1.5575373454485603e-7 Iteration 30: d = 1.9822634790692356e-9 Iteration 40: d = 2.6606321019665203e-11 Iteration 50: d = 3.652669467633462e-13 Iteration 60: d = 5.043014413247588e-15 Converged after 62 iterations. d = 2.1655016164832816e-15 Smoothing F matrix for spectral bin 10/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014687716106596435 Iteration 10: d = 9.898475020944359e-6 Iteration 20: d = 8.474843755952844e-8 Iteration 30: d = 9.895765515516803e-10 Iteration 40: d = 1.2563084138633181e-11 Iteration 50: d = 1.6440987898239765e-13 Converged after 60 iterations. d = 2.1660236619030683e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8652.257951965623 Iteration 2: convergence error = 4819.778516716067 Iteration 3: convergence error = 1101.7784093272905 Iteration 4: convergence error = 319.67800754087625 Iteration 5: convergence error = 95.31485049045727 Iteration 6: convergence error = 28.55731164233589 Iteration 7: convergence error = 8.561003396479691 Iteration 8: convergence error = 2.5747477191023336 Iteration 9: convergence error = 0.7728840470408613 Iteration 10: convergence error = 0.23169171430276947 Iteration 11: convergence error = 0.06940223764058828 Iteration 12: convergence error = 0.020780058552418268 Iteration 13: convergence error = 0.0062203080137805955 Iteration 14: convergence error = 0.0018617231316966354 Iteration 15: convergence error = 0.00055716356632729 Iteration 16: convergence error = 0.000166736153914826 Iteration 17: convergence error = 4.9895913662112434e-5 Iteration 18: convergence error = 1.4931147461538785e-5 Iteration 19: convergence error = 4.468043016458978e-6 Iteration 20: convergence error = 1.3370238320931094e-6 Iteration 21: convergence error = 4.00095359509578e-7 Iteration 22: convergence error = 1.1959741641476285e-7 Iteration 23: convergence error = 3.486593413981609e-8 Iteration 24: convergence error = 1.0092662705574185e-8 Iteration 25: convergence error = 2.914021024480462e-9 Iteration 26: convergence error = 8.376446203328669e-10 Iteration 27: convergence error = 2.4215296434704214e-10 Iteration 28: convergence error = 6.843947630841285e-11 Iteration 29: convergence error = 2.091837814077735e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Iter 1: T = 967.3887902038807 K, F = -7430.495173314768, relative_change = 0.03261120979611924 Iter 2: T = 936.8552165245773 K, F = -6298.510196571198, relative_change = 0.0315628772924569 Iter 3: T = 908.3677497003177 K, F = -5337.457715953846, relative_change = 0.030407544647014527 Iter 5: T = 857.3914871092119 K, F = -3829.180914452172, relative_change = 0.027782291747242137 Iter 10: T = 762.7063653782355 K, F = -1657.7904928596406, relative_change = 0.01984181267856758 Iter 15: T = 707.3843418990442 K, F = -709.6557500289971, relative_change = 0.011857126922173184 Iter 20: T = 678.9845306227774 K, F = -300.73244342391416, relative_change = 0.0060595886109565235 Iter 25: T = 665.7567505133377 K, F = -126.59199042467641, relative_change = 0.0027959796306102564 Iter 30: T = 659.9370939932749 K, F = -53.09868722950632, relative_change = 0.001222361472232603 Iter 35: T = 657.4481085222287 K, F = -22.234908959567363, relative_change = 0.0005211146834515222 Iter 40: T = 656.3971454727099 K, F = -9.30395347706608, relative_change = 0.00021971911620812708 Iter 45: T = 655.9558337398132 K, F = -3.891913615487529, relative_change = 9.220471765369438e-5 Iter 50: T = 655.7709571737197 K, F = -1.6278007173616158, relative_change = 3.8616584412595036e-5 Iter 55: T = 655.6935843711432 K, F = -0.6807930112592159, relative_change = 1.6159639106954142e-5 Iter 60: T = 655.6612164716032 K, F = -0.2847205468290138, relative_change = 6.7598560101055316e-6 Iter 65: T = 655.6476781373551 K, F = -0.11907436899858209, relative_change = 2.8273502956531323e-6 Iter 70: T = 655.642015948274 K, F = -0.04979846939132604, relative_change = 1.1824837497151272e-6 Iter 75: T = 655.6396479014013 K, F = -0.02082634019174545, relative_change = 4.945379371489301e-7 Iter 80: T = 655.6386575468624 K, F = -0.008709828658794827, relative_change = 2.068232649162426e-7 Iter 85: T = 655.638243367183 K, F = -0.0036425551426160774, relative_change = 8.649623805475819e-8 Iter 90: T = 655.6380701520177 K, F = -0.0015233601981545775, relative_change = 3.61738084729605e-8 Iter 95: T = 655.6379977113186 K, F = -0.0006370874504226243, relative_change = 1.5128327209236285e-8 Iter 100: T = 655.6379674157446 K, F = -0.00026643758463623657, relative_change = 6.326848606569947e-9 Iter 105: T = 655.6379547457723 K, F = -0.0001114273807337196, relative_change = 2.6459639106611668e-9 Iter 110: T = 655.6379494470382 K, F = -4.660026032038411e-5, relative_change = 1.1065737251261252e-9 Iter 115: T = 655.6379472310443 K, F = -1.9488784681886973e-5, relative_change = 4.627823377462251e-10 Iter 120: T = 655.6379463042891 K, F = -8.15044148588795e-6, relative_change = 1.935410776739035e-10 Iter 125: T = 655.6379459167092 K, F = -3.408612086475138e-6, relative_change = 8.094119313508e-11 Iter 130: T = 655.6379457546186 K, F = -1.4255217634651096e-6, relative_change = 3.385056133800781e-11 Iter 135: T = 655.6379456868304 K, F = -5.961701592394064e-7, relative_change = 1.4156707438897994e-11 Iter 140: T = 655.6379456584806 K, F = -2.493259559366301e-7, relative_change = 5.9205154118216615e-12 Iter 145: T = 655.6379456466244 K, F = -1.0427119417899533e-7, relative_change = 2.4760326692815238e-12 Iter 150: T = 655.637945641666 K, F = -4.360809841008617e-8, relative_change = 1.0355216238067756e-12 Iter 155: T = 655.6379456395922 K, F = -1.8237486021366323e-8, relative_change = 4.3306889838872205e-13 Converged in 159 iterations to T = 655.6379456388438 K Iter 1: T = 970.3464059292834 K, F = -6756.599616862909, relative_change = 0.02965359407071661 Iter 2: T = 942.8571783412553 K, F = -5722.679360846231, relative_change = 0.028329292941217256 Iter 3: T = 917.4875440301413 K, F = -4845.224298866892, relative_change = 0.02690718689308405 Iter 5: T = 872.8909698499135 K, F = -3469.1724389018354, relative_change = 0.023814570319434996 Iter 10: T = 793.7319885486799 K, F = -1493.2143472923772, relative_change = 0.015508827053824179 Iter 15: T = 750.6005135354477 K, F = -635.6244688766666, relative_change = 0.008492560404611079 Iter 20: T = 729.6632627716945 K, F = -268.30013730375316, relative_change = 0.004086008128470264 Iter 25: T = 720.2394969011496 K, F = -112.69469810917965, relative_change = 0.0018243175374350275 Iter 30: T = 716.1649487056654 K, F = -47.22057396356406, relative_change = 0.0007852162791447997 Iter 35: T = 714.4361468786668 K, F = -19.764391261558945, relative_change = 0.00033244990693547346 Iter 40: T = 713.7086939801761 K, F = -8.268564434082323, relative_change = 0.00013975813499058357 Iter 45: T = 713.4036780489072 K, F = -3.4585147970139043, relative_change = 5.857605110543885e-5 Iter 50: T = 713.275978556541 K, F = -1.4464802235140883, relative_change = 2.451958077465015e-5 Iter 55: T = 713.2225488877524 K, F = -0.604950712733094, relative_change = 1.0258300458460638e-5 Iter 60: T = 713.2001997233309 K, F = -0.25300030851595645, relative_change = 4.2908295752591945e-6 Iter 65: T = 713.1908522942342 K, F = -0.10580822202979312, relative_change = 1.7945961491795064e-6 Iter 70: T = 713.1869429580244 K, F = -0.0442503445413065, relative_change = 7.505425277351757e-7 Iter 75: T = 713.1853080042431 K, F = -0.018506036970219797, relative_change = 3.138895190825462e-7 Iter 80: T = 713.1846242430776 K, F = -0.007739448190755005, relative_change = 1.3127298749391602e-7 Iter 85: T = 713.1843382852983 K, F = -0.0032367301020906902, relative_change = 5.4900043371852075e-8 Iter 90: T = 713.1842186942184 K, F = -0.001353639259598527, relative_change = 2.2959873405877463e-8 Iter 95: T = 713.1841686797794 K, F = -0.0005661081164771709, relative_change = 9.602096670897978e-9 Iter 100: T = 713.1841477631401 K, F = -0.00023675317765192716, relative_change = 4.015712105566251e-9 Iter 105: T = 713.1841390155511 K, F = -9.901300710202232e-5, relative_change = 1.679418871547796e-9 Iter 110: T = 713.1841353572048 K, F = -4.1408422327360306e-5, relative_change = 7.023530506889771e-10 Iter 115: T = 713.1841338272407 K, F = -1.7317496188717918e-5, relative_change = 2.937324273432969e-10 Iter 120: T = 713.1841331873914 K, F = -7.242383890715409e-6, relative_change = 1.2284241242938636e-10 Iter 125: T = 713.1841329197988 K, F = -3.02885180747392e-6, relative_change = 5.137417032848346e-11 Iter 130: T = 713.1841328078884 K, F = -1.2667028673751801e-6, relative_change = 2.14853063303228e-11 Iter 135: T = 713.1841327610861 K, F = -5.297504773738027e-7, relative_change = 8.985415271185266e-12 Iter 140: T = 713.1841327415127 K, F = -2.2154758061443403e-7, relative_change = 3.7578012657504994e-12 Iter 145: T = 713.1841327333269 K, F = -9.265285527693123e-8, relative_change = 1.5715405958777284e-12 Iter 150: T = 713.1841327299037 K, F = -3.8749589204023493e-8, relative_change = 6.572550012310527e-13 Iter 155: T = 713.184132728472 K, F = -1.620642586797061e-8, relative_change = 2.7488690003453724e-13 Converged in 157 iterations to T = 713.184132728169 K Iter 1: T = 974.3447013780197 K, F = -5845.584195507471, relative_change = 0.02565529862198022 Iter 2: T = 950.8791215773556 K, F = -4945.666989141815, relative_change = 0.02408344784702652 Iter 3: T = 929.5291028125409 K, F = -4182.486175578788, relative_change = 0.022452926224101392 Iter 5: T = 892.824752453252 K, F = -2987.199884030059, relative_change = 0.01909984179743806 Iter 10: T = 830.946337706988 K, F = -1277.4802534202393, relative_change = 0.011239355921446424 Iter 15: T = 799.5023074912953 K, F = -540.9623888394198, relative_change = 0.005679347207702655 Iter 20: T = 784.9520556415472 K, F = -227.61960720634966, relative_change = 0.0026037977875757517 Iter 25: T = 778.57243463734 K, F = -95.45483394154093, relative_change = 0.001134818073648917 Iter 30: T = 775.8482956554682 K, F = -39.967732889934005, relative_change = 0.0004831240768222543 Iter 35: T = 774.6988413103494 K, F = -16.723395765460364, relative_change = 0.00020357976015020665 Iter 40: T = 774.2163154009194 K, F = -6.99540458260774, relative_change = 8.541033858781688e-5 Iter 45: T = 774.0141985262359 K, F = -2.9258214177401296, relative_change = 3.576721741852302e-5 Iter 50: T = 773.929614923157 K, F = -1.2236589273888412, relative_change = 1.4966617978887896e-5 Iter 55: T = 773.8942312594954 K, F = -0.5117567332004513, relative_change = 6.260678335508297e-6 Iter 60: T = 773.8794316755279 K, F = -0.2140241692739313, relative_change = 2.6185458835531067e-6 Iter 65: T = 773.8732420130572 K, F = -0.0895077070085245, relative_change = 1.0951518427184617e-6 Iter 70: T = 773.8706533698677 K, F = -0.03743323459017833, relative_change = 4.580133948595484e-7 Iter 75: T = 773.8695707592018 K, F = -0.01565503319629502, relative_change = 1.915480384855693e-7 Iter 80: T = 773.8691179968886 K, F = -0.006547123144903022, relative_change = 8.010791633689201e-8 Iter 85: T = 773.8689286460016 K, F = -0.002738085315737937, relative_change = 3.3502129114000235e-8 Iter 90: T = 773.8688494571503 K, F = -0.0011451000184465876, relative_change = 1.4010997808165493e-8 Iter 95: T = 773.8688163394185 K, F = -0.0004788945113274323, relative_change = 5.8595679046599365e-9 Iter 100: T = 773.8688024891859 K, F = -0.00020027940536915256, relative_change = 2.4505415032109023e-9 Iter 105: T = 773.868796696853 K, F = -8.37592381729424e-5, relative_change = 1.024845746653513e-9 Iter 110: T = 773.8687942744301 K, F = -3.5029113035212056e-5, relative_change = 4.286027287414151e-10 Iter 115: T = 773.8687932613439 K, F = -1.4649592269821987e-5, relative_change = 1.792467669569405e-10 Iter 120: T = 773.8687928376592 K, F = -6.126634080283466e-6, relative_change = 7.496313439001994e-11 Iter 125: T = 773.8687926604692 K, F = -2.562231888103561e-6, relative_change = 3.135048234622253e-11 Iter 130: T = 773.8687925863662 K, F = -1.0715560162521953e-6, relative_change = 1.3111146630324501e-11 Iter 135: T = 773.8687925553754 K, F = -4.481373025999602e-7, relative_change = 5.483235404320326e-12 Iter 140: T = 773.8687925424148 K, F = -1.874172186333567e-7, relative_change = 2.2931648910043247e-12 Iter 145: T = 773.8687925369944 K, F = -7.837930915410851e-8, relative_change = 9.590190338433495e-13 Iter 150: T = 773.8687925347276 K, F = -3.277907445475847e-8, relative_change = 4.0107212800908303e-13 Converged in 154 iterations to T = 773.8687925339095 K Iter 1: T = 970.4715368231014 K, F = -6728.088423676277, relative_change = 0.029528463176898646 Iter 2: T = 943.1098247279511 K, F = -5698.336913321478, relative_change = 0.028194244814969505 Iter 3: T = 917.8693282255433 K, F = -4824.436483542033, relative_change = 0.026763051174542345 Iter 5: T = 873.5320027709203 K, F = -3454.008285680494, relative_change = 0.023656294243219557 Iter 10: T = 794.9723579054751 K, F = -1486.3535108848412, relative_change = 0.015351281491267943 Iter 15: T = 752.2765628782113 K, F = -632.5787985856063, relative_change = 0.008380591663995272 Iter 20: T = 731.5898141931258 K, F = -266.9802748198054, relative_change = 0.004024252678108824 Iter 25: T = 722.2888746235177 K, F = -112.13278230336596, relative_change = 0.00179492172725979 Iter 30: T = 718.2695625437061 K, F = -46.983660005604115, relative_change = 0.0007722016277919872 Iter 35: T = 716.564602671034 K, F = -19.66496169486694, relative_change = 0.00032687271922172143 Iter 40: T = 715.8472557130923 K, F = -8.226919584565008, relative_change = 0.00013740155808996695 Iter 45: T = 715.5464902111978 K, F = -3.4410874579142656, relative_change = 5.758623392807891e-5 Iter 50: T = 715.4205725274513 K, F = -1.4391899780763149, relative_change = 2.410487726915341e-5 Iter 55: T = 715.3678887740454 K, F = -0.6019015080443559, relative_change = 1.0084735037445249e-5 Iter 60: T = 715.3458516902377 K, F = -0.2517250357285465, relative_change = 4.218219431272208e-6 Iter 65: T = 715.336634799711 K, F = -0.10527487740326436, relative_change = 1.7642256935640796e-6 Iter 70: T = 715.3327800602664 K, F = -0.04402729164298946, relative_change = 7.37840536175578e-7 Iter 75: T = 715.3311679401999 K, F = -0.01841275326768499, relative_change = 3.085772713121224e-7 Iter 80: T = 715.3304937284882 K, F = -0.007700435776028636, relative_change = 1.2905132047038188e-7 Iter 85: T = 715.3302117644259 K, F = -0.00322041463441447, relative_change = 5.397091191733475e-8 Iter 90: T = 715.33009384357 K, F = -0.0013468159348868358, relative_change = 2.2571298883319193e-8 Iter 95: T = 715.3300445276392 K, F = -0.0005632545208615891, relative_change = 9.439590059392298e-9 Iter 100: T = 715.3300239031245 K, F = -0.00023555976898392839, relative_change = 3.947749865429623e-9 Iter 105: T = 715.3300152777053 K, F = -9.851390773341073e-5, relative_change = 1.650996220628467e-9 Iter 110: T = 715.330011670452 K, F = -4.1199692372151375e-5, relative_change = 6.904663472966567e-10 Iter 115: T = 715.3300101618556 K, F = -1.7230204213292133e-5, relative_change = 2.8876128924267153e-10 Iter 120: T = 715.3300095309426 K, F = -7.205877571192509e-6, relative_change = 1.2076342686147302e-10 Iter 125: T = 715.3300092670872 K, F = -3.0135838624545386e-6, relative_change = 5.0504704167954146e-11 Iter 130: T = 715.3300091567398 K, F = -1.2603178753956001e-6, relative_change = 2.1121689127092986e-11 Iter 135: T = 715.3300091105913 K, F = -5.270812871716046e-7, relative_change = 8.8333644337717e-12 Iter 140: T = 715.3300090912912 K, F = -2.2043060776688606e-7, relative_change = 3.6942003793408746e-12 Iter 145: T = 715.3300090832198 K, F = -9.218722829551496e-8, relative_change = 1.5449673582451127e-12 Iter 150: T = 715.3300090798442 K, F = -3.855337948888149e-8, relative_change = 6.461167556828985e-13 Iter 155: T = 715.3300090784325 K, F = -1.6123034907167266e-8, relative_change = 2.702062217161328e-13 Converged in 157 iterations to T = 715.3300090781337 K Iter 1: T = 969.3597867649519 K, F = -6981.401731972971, relative_change = 0.03064021323504818 Iter 2: T = 940.8614997610234 K, F = -5914.6686164221555, relative_change = 0.029399081118307937 Iter 3: T = 914.4658660041188 K, F = -5009.236523771383, relative_change = 0.028054749571120797 Iter 5: T = 867.7956548013992 K, F = -3588.9253102802572, relative_change = 0.02508888055203506 Iter 10: T = 783.7577717652247 K, F = -1547.586201731041, relative_change = 0.016817677011369336 Iter 15: T = 736.9887442699666 K, F = -659.8641210937675, relative_change = 0.009449369755174781 Iter 20: T = 713.9187428870235 K, F = -278.83952526415015, relative_change = 0.0046236352801677675 Iter 25: T = 703.4370170027607 K, F = -117.19031873877329, relative_change = 0.002082759556279311 Iter 30: T = 698.8839230494656 K, F = -49.11777226474589, relative_change = 0.0009001646859545748 Iter 35: T = 696.9480179180747 K, F = -20.56095008478056, relative_change = 0.0003818081902116505 Iter 40: T = 696.132679338206 K, F = -8.602252835335175, relative_change = 0.00016063184528320368 Iter 45: T = 695.7906818750836 K, F = -3.5981656829473883, relative_change = 6.734667479068828e-5 Iter 50: T = 695.6474763092871 K, F = -1.5049011645529256, relative_change = 2.8194766469587053e-5 Iter 55: T = 695.5875548045757 K, F = -0.6293860734351292, relative_change = 1.1796570098464429e-5 Iter 60: T = 695.5624894489785 K, F = -0.2632199976617782, relative_change = 4.934373425858918e-6 Iter 65: T = 695.5520058614176 K, F = -0.110082310708987, relative_change = 2.0637725611623554e-6 Iter 70: T = 695.5476213325783 K, F = -0.04603783567181907, relative_change = 8.631220855077423e-7 Iter 75: T = 695.5457876409891 K, F = -0.01925358994219084, relative_change = 3.6097281837374925e-7 Iter 80: T = 695.545020764149 K, F = -0.008052084266545356, relative_change = 1.5096399258447603e-7 Iter 85: T = 695.5447000462007 K, F = -0.003367478329820317, relative_change = 6.313509308083964e-8 Iter 90: T = 695.5445659179679 K, F = -0.001408319744764297, relative_change = 2.6403875867789214e-8 Iter 95: T = 695.5445098239119 K, F = -0.0005889761520488923, relative_change = 1.1042420754839064e-8 Iter 100: T = 695.544486364703 K, F = -0.00024631686494491767, relative_change = 4.61807305617483e-9 Iter 105: T = 695.5444765537808 K, F = -0.00010301265604317766, relative_change = 1.9313334609565425e-9 Iter 110: T = 695.5444724507357 K, F = -4.308112312612078e-5, relative_change = 8.077067436359936e-10 Iter 115: T = 695.5444707347932 K, F = -1.8017038822315534e-5, relative_change = 3.3779258459592244e-10 Iter 120: T = 695.5444700171656 K, F = -7.53493956018314e-6, relative_change = 1.4126887034060048e-10 Iter 125: T = 695.5444697170452 K, F = -3.1512017955037663e-6, relative_change = 5.908033040278366e-11 Iter 130: T = 695.5444695915313 K, F = -1.317870568340318e-6, relative_change = 2.470810621637694e-11 Iter 135: T = 695.5444695390399 K, F = -5.511496111720859e-7, relative_change = 1.0333232614791364e-11 Iter 140: T = 695.5444695170874 K, F = -2.304976248757029e-7, relative_change = 4.3214864477366016e-12 Iter 145: T = 695.5444695079066 K, F = -9.639745057743454e-8, relative_change = 1.8073083248365997e-12 Iter 150: T = 695.544469504067 K, F = -4.031427802697607e-8, relative_change = 7.558325438422091e-13 Iter 155: T = 695.5444695024613 K, F = -1.6861071316931486e-8, relative_change = 3.161199220036543e-13 Converged in 158 iterations to T = 695.5444695019911 K Iter 1: T = 963.5771073552722 K, F = -8298.990736216658, relative_change = 0.03642289264472775 Iter 2: T = 929.0328976558894 K, F = -7041.942519116474, relative_change = 0.035849969281852516 Iter 3: T = 896.3338921798368 K, F = -5974.37707780665, relative_change = 0.035196821940921504 Iter 5: T = 836.3527972255548 K, F = -4297.867694391543, relative_change = 0.0336206669393737 Iter 10: T = 716.7523634331787 K, F = -1878.1038216417544, relative_change = 0.02788647544906193 Iter 15: T = 637.2107601467993 K, F = -813.2256518813332, relative_change = 0.019965909271615796 Iter 20: T = 590.6448161986366 K, F = -348.17746982445357, relative_change = 0.011962087089839602 Iter 25: T = 566.6989336998115 K, F = -147.56640723649747, relative_change = 0.006124990099369327 Iter 30: T = 555.5331925277903 K, F = -62.121929669298986, relative_change = 0.002829272044583133 Iter 35: T = 550.6178470493584 K, F = -26.057810766892832, relative_change = 0.0012375801557247038 Iter 40: T = 548.5150439422065 K, F = -10.911800774732919, relative_change = 0.0005277294171249005 Iter 45: T = 547.6270373490811 K, F = -4.565954629484767, relative_change = 0.00022253112414875873 Iter 50: T = 547.2541336987165 K, F = -1.9099786832765862, relative_change = 9.33888622695151e-5 Iter 55: T = 547.0979115937664 K, F = -0.798853415197748, relative_change = 3.911324050345467e-5 Iter 60: T = 547.0325303891902 K, F = -0.3341036134487527, relative_change = 1.63675979907671e-5 Iter 65: T = 547.0051789130272 K, F = -0.13972849664260711, relative_change = 6.846870923365512e-6 Iter 70: T = 546.9937387508562 K, F = -0.058436541555705046, relative_change = 2.863748675752377e-6 Iter 75: T = 546.9889540850645 K, F = -0.024438932241458156, relative_change = 1.1977073347810545e-6 Iter 80: T = 546.9869530363748 K, F = -0.0102206660369219, relative_change = 5.009048579826087e-7 Iter 85: T = 546.9861161661643 K, F = -0.004274406819479271, relative_change = 2.0948602846575274e-7 Iter 90: T = 546.9857661756922 K, F = -0.0017876083676142407, relative_change = 8.760984481730179e-8 Iter 95: T = 546.9856198052601 K, F = -0.0007475992357968697, relative_change = 3.663953339124357e-8 Iter 100: T = 546.9855585913558 K, F = -0.00031265494057702847, relative_change = 1.5323099182197114e-8 Iter 105: T = 546.9855329909628 K, F = -0.00013075603209214415, relative_change = 6.4083046030299275e-9 Iter 110: T = 546.9855222845714 K, F = -5.468373481412603e-5, relative_change = 2.68002979723793e-9 Iter 115: T = 546.9855178070304 K, F = -2.2869391125002192e-5, relative_change = 1.1208205192389429e-9 Iter 120: T = 546.9855159344693 K, F = -9.564252379551386e-6, relative_change = 4.687405289587043e-10 Iter 125: T = 546.9855151513419 K, F = -3.999885007321957e-6, relative_change = 1.960329100991125e-10 Iter 130: T = 546.9855148238287 K, F = -1.6727998083942985e-6, relative_change = 8.198331071700258e-11 Iter 135: T = 546.9855146868588 K, F = -6.995852683544523e-7, relative_change = 3.428641981491497e-11 Iter 140: T = 546.9855146295762 K, F = -2.925749016668977e-7, relative_change = 1.433898963375201e-11 Iter 145: T = 546.9855146056201 K, F = -1.2235887184020022e-7, relative_change = 5.9967638552864965e-12 Iter 150: T = 546.9855145956013 K, F = -5.117211632210683e-8, relative_change = 2.507926830074503e-12 Iter 155: T = 546.9855145914113 K, F = -2.1400781924363343e-8, relative_change = 1.048844547229621e-12 Iter 160: T = 546.985514589659 K, F = -8.950302304855384e-9, relative_change = 4.3865106433145993e-13 Converged in 164 iterations to T = 546.9855145890265 K Iter 1: T = 966.9403821294744 K, F = -7532.6653796144565, relative_change = 0.033059617870525616 Iter 2: T = 935.9401268546902 K, F = -6385.890964591316, relative_change = 0.0320601516367668 Iter 3: T = 906.9687503856637 K, F = -5412.235654615415, relative_change = 0.03095430534257289 Iter 5: T = 854.9810210320023 K, F = -3884.0347315241866, relative_change = 0.02842420049142135 Iter 10: T = 757.6861090726138 K, F = -1683.1836613275314, relative_change = 0.020619366076649045 Iter 15: T = 700.1252026938738 K, F = -721.2798023099868, relative_change = 0.012524984982000676 Iter 20: T = 670.2501493739559 K, F = -305.90396566600583, relative_change = 0.006480379297278093 Iter 25: T = 656.2345281656746 K, F = -128.82942423927588, relative_change = 0.0030115415818033533 Iter 30: T = 650.0445888414941 K, F = -54.04967423055847, relative_change = 0.0013212039151895305 Iter 35: T = 647.3924843901281 K, F = -22.635488466141094, relative_change = 0.0005641355529712538 Iter 40: T = 646.2717610960118 K, F = -9.471997331840413, relative_change = 0.00023801873865271118 Iter 45: T = 645.8009975004999 K, F = -3.9622831182952414, relative_change = 9.991268630285664e-5 Iter 50: T = 645.6037547406862 K, F = -1.6572461847687283, relative_change = 4.184981774208284e-5 Iter 55: T = 645.521201622763 K, F = -0.69311027991267, relative_change = 1.7513512570643092e-5 Iter 60: T = 645.4866657417509 K, F = -0.28987226981651143, relative_change = 7.326359221520348e-6 Iter 65: T = 645.4722204671278 K, F = -0.1212289675350306, relative_change = 3.0643207078176454e-6 Iter 70: T = 645.4661789384497 K, F = -0.0506995633561082, relative_change = 1.2815967038315135e-6 Iter 75: T = 645.4636522391279 K, F = -0.021203191094758156, relative_change = 5.359897495767797e-7 Iter 80: T = 645.4625955328233 K, F = -0.008867432668313746, relative_change = 2.2415918621755012e-7 Iter 85: T = 645.4621536037955 K, F = -0.0037084671046253015, relative_change = 9.374637611081564e-8 Iter 90: T = 645.4619687834779 K, F = -0.0015509253820960023, relative_change = 3.920591130982645e-8 Iter 95: T = 645.4618914893579 K, F = -0.0006486155434204943, relative_change = 1.6396390349468515e-8 Iter 100: T = 645.461859164024 K, F = -0.0002712587715832382, relative_change = 6.857168025339396e-9 Iter 105: T = 645.4618456451815 K, F = -0.00011344365785398436, relative_change = 2.8677498476587245e-9 Iter 110: T = 645.4618399914399 K, F = -4.744349305108031e-5, relative_change = 1.1993272979497539e-9 Iter 115: T = 645.4618376269776 K, F = -1.9841435486611658e-5, relative_change = 5.015730102124928e-10 Iter 120: T = 645.4618366381312 K, F = -8.297925258915484e-6, relative_change = 2.0976382398330648e-10 Iter 125: T = 645.4618362245839 K, F = -3.4702923839002864e-6, relative_change = 8.772576039118382e-11 Iter 130: T = 645.4618360516334 K, F = -1.4513175202734985e-6, relative_change = 3.6687955685845406e-11 Iter 135: T = 645.4618359793035 K, F = -6.069583249335153e-7, relative_change = 1.534334136337013e-11 Iter 140: T = 645.4618359490541 K, F = -2.5383624807640004e-7, relative_change = 6.4167440259245535e-12 Iter 145: T = 645.4618359364036 K, F = -1.0615815249082061e-7, relative_change = 2.6835792603473963e-12 Iter 150: T = 645.4618359311129 K, F = -4.439550715940044e-8, relative_change = 1.1222770882389145e-12 Iter 155: T = 645.4618359289003 K, F = -1.8567076265352256e-8, relative_change = 4.693584018246153e-13 Converged in 160 iterations to T = 645.461835927975 K Iter 1: T = 965.1790120847214 K, F = -7933.995219806874, relative_change = 0.03482098791527855 Iter 2: T = 932.3324080566314 K, F = -6729.325925943185, relative_change = 0.034031618608390164 Iter 3: T = 901.430726465959 K, F = -5706.352180223287, relative_change = 0.03314448937271669 Iter 5: T = 845.3491102581613 K, F = -4100.224237164804, relative_change = 0.03105821224315176 Iter 10: T = 737.0243106389913 K, F = -1784.2195153663133, relative_change = 0.024070431284845532 Iter 15: T = 669.2864675601799 K, F = -768.249104637161, relative_change = 0.015765502902839165 Iter 20: T = 632.2248203342017 K, F = -327.1300852883329, relative_change = 0.008676322500279004 Iter 25: T = 614.1785257063323 K, F = -138.11225118410195, relative_change = 0.004187854990445706 Iter 30: T = 606.041493726181 K, F = -58.01801136795376, relative_change = 0.0018729217643930942 Iter 35: T = 602.5202147778342 K, F = -24.31156701162582, relative_change = 0.0008067610049415127 Iter 40: T = 601.0255739351585 K, F = -10.175948930670957, relative_change = 0.0003416873454489397 Iter 45: T = 600.3965456464704 K, F = -4.257216780550937, relative_change = 0.0001436621829309006 Iter 50: T = 600.1327795047048 K, F = -1.7806847885651826, relative_change = 6.0215996995832665e-5 Iter 55: T = 600.0223465157557 K, F = -0.7447502364051821, relative_change = 2.5206695806418897e-5 Iter 60: T = 599.9761405934727 K, F = -0.31147159843721095, relative_change = 1.0545882761603196e-5 Iter 65: T = 599.9568129566396 K, F = -0.1302625690580705, relative_change = 4.411138893536692e-6 Iter 70: T = 599.9487292487828 K, F = -0.05447761162440862, relative_change = 1.8449177602748166e-6 Iter 75: T = 599.9453484302865 K, F = -0.022783231432528972, relative_change = 7.715888190205309e-7 Iter 80: T = 599.9439345114433 K, F = -0.009528227107596987, relative_change = 3.2269153802439307e-7 Iter 85: T = 599.9433431901692 K, F = -0.00398481970239517, relative_change = 1.3495413343535337e-7 Iter 90: T = 599.9430958919334 K, F = -0.0016664994217859275, relative_change = 5.643954896250845e-8 Iter 95: T = 599.9429924687498 K, F = -0.0006969500002513285, relative_change = 2.360371412871904e-8 Iter 100: T = 599.9429492159205 K, F = -0.00029147282107022665, relative_change = 9.871358782963801e-9 Iter 105: T = 599.9429311270675 K, F = -0.00012189741623452877, relative_change = 4.128320776798864e-9 Iter 110: T = 599.9429235620926 K, F = -5.097895543709763e-5, relative_change = 1.7265131620178358e-9 Iter 115: T = 599.9429203983295 K, F = -2.1320008121383793e-5, relative_change = 7.220484461567382e-10 Iter 120: T = 599.9429190752061 K, F = -8.916281892978883e-6, relative_change = 3.019692824348206e-10 Iter 125: T = 599.94291852186 K, F = -3.7288952897673866e-6, relative_change = 1.2628715123473403e-10 Iter 130: T = 599.9429182904439 K, F = -1.5594672109764396e-6, relative_change = 5.281474983228756e-11 Iter 135: T = 599.9429181936631 K, F = -6.521881976140342e-7, relative_change = 2.2087772211281643e-11 Iter 140: T = 599.9429181531882 K, F = -2.7275231528900434e-7, relative_change = 9.237350559513714e-12 Iter 145: T = 599.9429181362611 K, F = -1.140678447253407e-7, relative_change = 3.863155729113498e-12 Iter 150: T = 599.942918129182 K, F = -4.770419481658905e-8, relative_change = 1.6156063434226062e-12 Iter 155: T = 599.9429181262215 K, F = -1.9949932927865177e-8, relative_change = 6.756478819901053e-13 Iter 160: T = 599.9429181249834 K, F = -8.34453156572934e-9, relative_change = 2.826057159703598e-13 Converged in 162 iterations to T = 599.9429181247214 K Iter 1: T = 979.8697405017801 K, F = -4586.698775489662, relative_change = 0.02013025949821988 Iter 2: T = 961.7947942833032 K, F = -3874.687567885011, relative_change = 0.018446274511162063 Iter 3: T = 945.6562167398523 K, F = -3271.6788341259803, relative_change = 0.016779647425183657 Iter 5: T = 918.6711076756576 K, F = -2329.3786644525867, relative_change = 0.013588396902496577 Iter 10: T = 875.7188847835648 K, F = -989.1990672228669, relative_change = 0.007172086683513005 Iter 15: T = 855.3289319515721 K, F = -416.9188818297459, relative_change = 0.003372633615164161 Iter 20: T = 846.2659828955007 K, F = -174.98408494968515, relative_change = 0.0014883322696326224 Iter 25: T = 842.371140364004 K, F = -73.29459862706923, relative_change = 0.0006371855337714492 Iter 30: T = 840.7230557493361 K, F = -30.67304282713517, relative_change = 0.00026914852810477506 Iter 35: T = 840.0303748869546 K, F = -12.831424974821052, relative_change = 0.00011303500022443464 Iter 40: T = 839.74008181468 K, F = -5.366885660766703, relative_change = 4.7355980833616796e-5 Iter 45: T = 839.6185714567043 K, F = -2.2446061154420613, relative_change = 1.9819460212365715e-5 Iter 50: T = 839.5677357477313 K, F = -0.9387404113111613, relative_change = 8.291295391167448e-6 Iter 55: T = 839.5464723872644 K, F = -0.3925958321647589, relative_change = 3.4679667774598383e-6 Iter 60: T = 839.5375792256691 K, F = -0.16418885701241015, relative_change = 1.4504234974974107e-6 Iter 65: T = 839.5338598995245 K, F = -0.06866584426494748, relative_change = 6.065981372244068e-7 Iter 70: T = 839.5323044154642 K, F = -0.02871689420051693, relative_change = 2.5368898302654136e-7 Iter 75: T = 839.531653890402 K, F = -0.012009751269022706, relative_change = 1.060961817505883e-7 Iter 80: T = 839.5313818325184 K, F = -0.005022621959470452, relative_change = 4.437076360242305e-8 Iter 85: T = 839.5312680545691 K, F = -0.002100520580477605, relative_change = 1.8556396044033224e-8 Iter 90: T = 839.5312204712554 K, F = -0.0008784628070748202, relative_change = 7.76050866085389e-9 Iter 95: T = 839.5312005713427 K, F = -0.0003673836388309315, relative_change = 3.24553778465638e-9 Iter 100: T = 839.5311922489609 K, F = -0.00015364422362118546, relative_change = 1.3573227111580412e-9 Iter 105: T = 839.5311887684416 K, F = -6.425584795888284e-5, relative_change = 5.676485677452369e-10 Iter 110: T = 839.5311873128467 K, F = -2.6872563833491014e-5, relative_change = 2.373974195688995e-10 Iter 115: T = 839.5311867040996 K, F = -1.1238426147697211e-5, relative_change = 9.928242772894277e-11 Iter 120: T = 839.5311864495143 K, F = -4.700043879868332e-6, relative_change = 4.152109569143255e-11 Iter 125: T = 839.5311863430435 K, F = -1.965612478116441e-6, relative_change = 1.736460040192532e-11 Iter 130: T = 839.5311862985163 K, F = -8.220417144766401e-7, relative_change = 7.262075331798732e-12 Iter 135: T = 839.5311862798944 K, F = -3.437879265710819e-7, relative_change = 3.0370889666776213e-12 Iter 140: T = 839.5311862721067 K, F = -1.4377553925193354e-7, relative_change = 1.2701408927144935e-12 Iter 145: T = 839.5311862688496 K, F = -6.012939857136246e-8, relative_change = 5.311947246283728e-13 Iter 150: T = 839.5311862674876 K, F = -2.5146412285792508e-8, relative_change = 2.2214826469273963e-13 Converged in 151 iterations to T = 839.5311862673309 K Iter 1: T = 976.4610998876649 K, F = -5363.36078187013, relative_change = 0.02353890011233517 Iter 2: T = 955.0833725990586 K, F = -4535.045642981922, relative_change = 0.021893065981907177 Iter 3: T = 935.7749775936513 K, F = -3832.917783154298, relative_change = 0.02021644974601911 Iter 5: T = 902.9444368501802 K, F = -2734.1392047419363, relative_change = 0.016864118434351323 Iter 10: T = 848.8898237205622 K, F = -1165.860094726591, relative_change = 0.009484300319128978 Iter 15: T = 822.2103055495729 K, F = -492.67900858066423, relative_change = 0.00464362788020627 Iter 20: T = 810.0843527795801 K, F = -207.06707898148753, relative_change = 0.0020924636220735187 Iter 25: T = 804.8161068214116 K, F = -86.78856429167676, relative_change = 0.0009045002740810731 Iter 30: T = 802.5759513327736 K, F = -36.33030254098954, relative_change = 0.00038367354582119554 Iter 35: T = 801.6324400242695 K, F = -15.199835616873395, relative_change = 0.00016142137175883476 Iter 40: T = 801.2366741151321 K, F = -6.357819663004657, relative_change = 6.767853230770254e-5 Iter 45: T = 801.070952911014 K, F = -2.6591031061200194, relative_change = 2.83338466227053e-5 Iter 50: T = 801.0016100079843 K, F = -1.1121014098279909, relative_change = 1.1854786510539702e-5 Iter 55: T = 800.9726036200788 K, F = -0.46509981823084134, relative_change = 4.958729228757739e-6 Iter 60: T = 800.960471689838 K, F = -0.19451130029079133, relative_change = 2.0739600242728626e-6 Iter 65: T = 800.9553977771326 K, F = -0.08134712395673749, relative_change = 8.673828798427203e-7 Iter 70: T = 800.9532757722075 K, F = -0.034020369371979164, relative_change = 3.6275478165724327e-7 Iter 75: T = 800.9523883184527 K, F = -0.014227730119928395, relative_change = 1.517092393773095e-7 Iter 80: T = 800.9520171736526 K, F = -0.005950207585219358, relative_change = 6.344676563897726e-8 Iter 85: T = 800.9518619562829 K, F = -0.0024884480350126914, relative_change = 2.6534221318983316e-8 Iter 90: T = 800.9517970424934 K, F = -0.0010406987154985003, relative_change = 1.1096932831477227e-8 Iter 95: T = 800.9517698947658 K, F = -0.00043523263819988944, relative_change = 4.640870657056732e-9 Iter 100: T = 800.9517585412609 K, F = -0.00018201948850549154, relative_change = 1.9408676787726548e-9 Iter 105: T = 800.9517537930894 K, F = -7.612272390444819e-5, relative_change = 8.116940654515272e-10 Iter 110: T = 800.9517518073474 K, F = -3.183543210327766e-5, relative_change = 3.394601544576961e-10 Iter 115: T = 800.9517509768863 K, F = -1.3313958603933251e-5, relative_change = 1.4196629880141706e-10 Iter 120: T = 800.9517506295776 K, F = -5.568056847926606e-6, relative_change = 5.937200552918189e-11 Iter 125: T = 800.951750484329 K, F = -2.3286287795798444e-6, relative_change = 2.4830091479307196e-11 Iter 130: T = 800.9517504235841 K, F = -9.738607383846798e-7, relative_change = 1.0384244772278365e-11 Iter 135: T = 800.95175039818 K, F = -4.0727939221163467e-7, relative_change = 4.342806659486128e-12 Iter 140: T = 800.9517503875556 K, F = -1.7032919530368673e-7, relative_change = 1.8162145639131854e-12 Iter 145: T = 800.9517503831124 K, F = -7.123190470803564e-8, relative_change = 7.595434389199361e-13 Iter 150: T = 800.9517503812542 K, F = -2.9791110800481135e-8, relative_change = 3.176616270425184e-13 Converged in 153 iterations to T = 800.9517503807102 K Iter 1: T = 980.8222839084353 K, F = -4369.660854180557, relative_change = 0.019177716091564604 Iter 2: T = 963.6572643456336 K, F = -3690.368461531572, relative_change = 0.017500641904669555 Iter 3: T = 948.3793462500621 K, F = -3115.227402800432, relative_change = 0.01585409944057853 Iter 5: T = 922.947293117221 K, F = -2216.864440414857, relative_change = 0.012737899159556778 Iter 10: T = 882.815323947383 K, F = -940.4436772329333, relative_change = 0.006616783652149467 Iter 15: T = 863.9436409626074 K, F = -396.12235905094144, relative_change = 0.0030820975147867594 Iter 20: T = 855.5985674586018 K, F = -166.20359871347551, relative_change = 0.0013537100408614227 Iter 25: T = 852.0209714462628 K, F = -69.6068764720437, relative_change = 0.0005783139433260175 Iter 30: T = 850.5087606217235 K, F = -29.12797540670999, relative_change = 0.0002440552969956192 Iter 35: T = 849.8734804872174 K, F = -12.184759888248273, relative_change = 0.00010245633145064628 Iter 40: T = 849.6072952676037 K, F = -5.096354757389094, relative_change = 4.291696618730942e-5 Iter 45: T = 849.495885071331 K, F = -2.1314514612729765, relative_change = 1.7960397504072502e-5 Iter 50: T = 849.4492765207513 K, F = -0.8914150875477611, relative_change = 7.513355303810908e-6 Iter 55: T = 849.4297815599003 K, F = -0.37280334485688593, relative_change = 3.142542810058821e-6 Iter 60: T = 849.4216280606389 K, F = -0.15591131993051732, relative_change = 1.314313288935069e-6 Iter 65: T = 849.4182180869956 K, F = -0.06520406496774633, relative_change = 5.496727702760144e-7 Iter 70: T = 849.4167919807983 K, F = -0.02726913423281241, relative_change = 2.2988168583310134e-7 Iter 75: T = 849.41619556362 K, F = -0.011404280318981552, relative_change = 9.613961072565215e-8 Iter 80: T = 849.41594613439 K, F = -0.004769406702555656, relative_change = 4.0206793593500105e-8 Iter 85: T = 849.4158418200295 K, F = -0.0019946229232208346, relative_change = 1.6814971770197394e-8 Iter 90: T = 849.4157981945048 K, F = -0.0008341751440328338, relative_change = 7.032223868013229e-9 Iter 95: T = 849.4157799497868 K, F = -0.00034886200885542173, relative_change = 2.9409603172174855e-9 Iter 100: T = 849.4157723196275 K, F = -0.00014589825942334933, relative_change = 1.22994478841291e-9 Iter 105: T = 849.4157691286036 K, F = -6.101639333344622e-5, relative_change = 5.14377598658122e-10 Iter 110: T = 849.4157677940793 K, F = -2.551778240578173e-5, relative_change = 2.1511883967680157e-10 Iter 115: T = 849.4157672359654 K, F = -1.067184165348678e-5, relative_change = 8.9965270664527e-11 Iter 120: T = 849.4157670025555 K, F = -4.463091968442967e-6, relative_change = 3.7624553521724564e-11 Iter 125: T = 849.4157669049407 K, F = -1.8665188326050242e-6, relative_change = 1.5735041592607063e-11 Iter 130: T = 849.415766864117 K, F = -7.80600615701843e-7, relative_change = 6.580583567405696e-12 Iter 135: T = 849.4157668470441 K, F = -3.264574652828145e-7, relative_change = 2.752086775861768e-12 Iter 140: T = 849.415766839904 K, F = -1.365281203646873e-7, relative_change = 1.1509531089400928e-12 Iter 145: T = 849.4157668369179 K, F = -5.7097825356677845e-8, relative_change = 4.813434729310487e-13 Converged in 150 iterations to T = 849.4157668356689 K Iter 1: T = 967.3066957704556 K, F = -7449.200468062668, relative_change = 0.032693304229544445 Iter 2: T = 936.6877836782893 K, F = -6314.506306602926, relative_change = 0.03165377870953173 Iter 3: T = 908.1119476425043 K, F = -5351.145077807594, relative_change = 0.030507322219544962 Iter 5: T = 856.9514125436475 K, F = -3839.218054013944, relative_change = 0.027898975021604253 Iter 10: T = 761.7940585722727 K, F = -1662.4300745539945, relative_change = 0.01998142797552406 Iter 15: T = 706.0713420192377 K, F = -711.7748458701637, relative_change = 0.011975488217892233 Iter 20: T = 677.4100910911202 K, F = -301.67323710012226, relative_change = 0.006133421235237063 Iter 25: T = 664.0436089363326 K, F = -126.99845892407106, relative_change = 0.0028335823820410853 Iter 30: T = 658.1589941986704 K, F = -53.2713267161463, relative_change = 0.0012395541833280367 Iter 35: T = 655.6414409843151 K, F = -22.307605021208396, relative_change = 0.0005285881011420836 Iter 40: T = 654.5782695706899 K, F = -9.334445220030899, relative_change = 0.0002228962839327205 Iter 45: T = 654.1318052617662 K, F = -3.9046814566825, relative_change = 9.354265370555928e-5 Iter 50: T = 653.9447655315607 K, F = -1.6331431643772445, relative_change = 3.9177747782703314e-5 Iter 55: T = 653.8664866101205 K, F = -0.6830277742927148, relative_change = 1.6394609019741572e-5 Iter 60: T = 653.8337395053691 K, F = -0.28565523682980387, relative_change = 6.858173092846019e-6 Iter 65: T = 653.8200425382515 K, F = -0.11946528246415522, relative_change = 2.8684763990976546e-6 Iter 70: T = 653.8143139991853 K, F = -0.049961956684663966, relative_change = 1.199684703725626e-6 Iter 75: T = 653.8119182025878 K, F = -0.02089471298751361, relative_change = 5.017318485358351e-7 Iter 80: T = 653.8109162425433 K, F = -0.008738423059164946, relative_change = 2.0983189128724883e-7 Iter 85: T = 653.8104972092608 K, F = -0.0036545136768549313, relative_change = 8.775448971381607e-8 Iter 90: T = 653.8103219642535 K, F = -0.0015283614020368264, relative_change = 3.670002576236543e-8 Iter 95: T = 653.8102486746488 K, F = -0.0006391790145890419, relative_change = 1.534839782674766e-8 Iter 100: T = 653.8102180240522 K, F = -0.0002673123009799827, relative_change = 6.418884790513113e-9 Iter 105: T = 653.8102052056051 K, F = -0.00011179319707144142, relative_change = 2.6844545376935187e-9 Iter 110: T = 653.8101998447772 K, F = -4.6753249738629155e-5, relative_change = 1.1226709817776259e-9 Iter 115: T = 653.8101976028149 K, F = -1.955276743409451e-5, relative_change = 4.695144207685601e-10 Iter 120: T = 653.8101966651996 K, F = -8.177201616721419e-6, relative_change = 1.963565576963644e-10 Iter 125: T = 653.8101962730776 K, F = -3.4198028674436998e-6, relative_change = 8.211864552730136e-11 Iter 130: T = 653.8101961090875 K, F = -1.4302031514645819e-6, relative_change = 3.434301634327583e-11 Iter 135: T = 653.8101960405049 K, F = -5.981279564415409e-7, relative_change = 1.4362657621517277e-11 Iter 140: T = 653.8101960118229 K, F = -2.5014489590802214e-7, relative_change = 6.00665034589222e-12 Iter 145: T = 653.8101959998277 K, F = -1.0461400651307073e-7, relative_change = 2.512063083201385e-12 Iter 150: T = 653.810195994811 K, F = -4.3749651235103215e-8, relative_change = 1.050546551440242e-12 Iter 155: T = 653.810195992713 K, F = -1.8295986947691745e-8, relative_change = 4.3933575356058597e-13 Converged in 159 iterations to T = 653.8101959919558 K Iter 1: T = 973.5221204435157 K, F = -6033.010043910676, relative_change = 0.026477879556484202 Iter 2: T = 949.2372664282944 K, F = -5105.38885083191, relative_change = 0.02494535409648179 Iter 3: T = 927.0779558950569 K, F = -4318.582616238416, relative_change = 0.023344332673133066 Iter 5: T = 888.813462289513 K, F = -3085.933564010637, relative_change = 0.020014856764425295 Iter 10: T = 823.6685918935075 K, F = -1321.3130740115653, relative_change = 0.012004082826450671 Iter 15: T = 790.1449626180186 K, F = -560.0348497074428, relative_change = 0.006151353258989588 Iter 20: T = 774.5059690806575 K, F = -235.7683699765722, relative_change = 0.002842739913970541 Iter 25: T = 767.6197395265552 K, F = -98.89741285026234, relative_change = 0.0012437464410130592 Iter 30: T = 764.6734484145074 K, F = -41.41391697369382, relative_change = 0.0005304114151856216 Iter 35: T = 763.4291773039513 K, F = -17.32936752496518, relative_change = 0.0002236716096479973 Iter 40: T = 762.9066550820295 K, F = -7.2490344972808805, relative_change = 9.386918315377515e-5 Iter 45: T = 762.6877506570178 K, F = -3.0319285564489786, relative_change = 3.931470796990359e-5 Iter 50: T = 762.596135649661 K, F = -1.2680405231356233, relative_change = 1.6451957885497815e-5 Iter 55: T = 762.5578095024412 K, F = -0.5303187534345177, relative_change = 6.882169417054832e-6 Iter 60: T = 762.541779010026 K, F = -0.22178722147456686, relative_change = 2.8785141086008106e-6 Iter 65: T = 762.5350745097857 K, F = -0.09275434202458599, relative_change = 1.2038829716250902e-6 Iter 70: T = 762.5322705452945 K, F = -0.03879102205206386, relative_change = 5.034876804110886e-7 Iter 75: T = 762.53109788294 K, F = -0.016222877164593696, relative_change = 2.1056621269004678e-7 Iter 80: T = 762.5306074596292 K, F = -0.0067846024543123384, relative_change = 8.806159373435273e-8 Iter 85: T = 762.5304023584099 K, F = -0.00283740202979077, relative_change = 3.682846069176267e-8 Iter 90: T = 762.5303165825723 K, F = -0.0011866354620896358, relative_change = 1.5402110951533797e-8 Iter 95: T = 762.5302807100821 K, F = -0.000496265128593687, relative_change = 6.441348272672778e-9 Iter 100: T = 762.5302657077767 K, F = -0.00020754400525779815, relative_change = 2.6938490495761935e-9 Iter 105: T = 762.530259433633 K, F = -8.679738116501579e-5, relative_change = 1.12659988240383e-9 Iter 110: T = 762.5302568097111 K, F = -3.62997003927612e-5, relative_change = 4.711575201335182e-10 Iter 115: T = 762.5302557123557 K, F = -1.5180968243710957e-5, relative_change = 1.97043703461739e-10 Iter 120: T = 762.5302552534285 K, F = -6.348862272353983e-6, relative_change = 8.240603092073346e-11 Iter 125: T = 762.5302550614997 K, F = -2.655168370169214e-6, relative_change = 3.446316484559734e-11 Iter 130: T = 762.5302549812328 K, F = -1.1104242219062144e-6, relative_change = 1.441292140160542e-11 Iter 135: T = 762.5302549476643 K, F = -4.643927217218291e-7, relative_change = 6.027656518125342e-12 Iter 140: T = 762.5302549336254 K, F = -1.9421318386836361e-7, relative_change = 2.5208197910859007e-12 Iter 145: T = 762.5302549277543 K, F = -8.122330585891291e-8, relative_change = 1.0542503492082941e-12 Iter 150: T = 762.5302549252989 K, F = -3.3967944790269655e-8, relative_change = 4.4089214639678735e-13 Converged in 154 iterations to T = 762.5302549244126 K Iter 1: T = 970.0541123824794 K, F = -6823.198979545133, relative_change = 0.029945887617520567 Iter 2: T = 942.2666169208308 K, F = -5779.547221477446, relative_change = 0.02864530453193147 Iter 3: T = 916.5944667451992 K, F = -4893.7944497346725, relative_change = 0.027245102091724215 Iter 5: T = 871.3890566255305 K, F = -3504.615243149471, relative_change = 0.024187184486957416 Iter 10: T = 790.8133984882062 K, F = -1509.2708133098458, relative_change = 0.01588402204219486 Iter 15: T = 746.6425555018284 K, F = -642.7632416031611, relative_change = 0.008761938778903723 Iter 20: T = 725.1035007725781 K, F = -271.3974408664789, relative_change = 0.004235565858431369 Iter 25: T = 715.3834402818501 K, F = -114.01423059307871, relative_change = 0.0018957541814327017 Iter 30: T = 711.1753731262271 K, F = -47.77709474149755, relative_change = 0.0008168948337135555 Iter 35: T = 709.3888862820655 K, F = -19.997989463478387, relative_change = 0.0003460347086062194 Iter 40: T = 708.6369725303072 K, F = -8.366410282934684, relative_change = 0.00014549995824899976 Iter 45: T = 708.3216669308234 K, F = -3.4994619469054973, relative_change = 6.098805539678732e-5 Iter 50: T = 708.1896536321992 K, F = -1.4636095218653877, relative_change = 2.5530191329650028e-5 Iter 55: T = 708.1344180282751 K, F = -0.6121152150216507, relative_change = 1.068127962409838e-5 Iter 60: T = 708.1113132762578 K, F = -0.25599673333800643, relative_change = 4.467782239112092e-6 Iter 65: T = 708.1016497947144 K, F = -0.10706138793597575, relative_change = 1.8686099662882876e-6 Iter 70: T = 708.0976082716793 K, F = -0.0447744379085373, relative_change = 7.814977567078577e-7 Iter 75: T = 708.0959180340544 K, F = -0.01872521984712261, relative_change = 3.268356745250372e-7 Iter 80: T = 708.0952111522219 K, F = -0.007831113222016906, relative_change = 1.3668727834777472e-7 Iter 85: T = 708.0949155250503 K, F = -0.00327506553530732, relative_change = 5.71643738990639e-8 Iter 90: T = 708.0947918901061 K, F = -0.0013696715991882158, relative_change = 2.3906845117726307e-8 Iter 95: T = 708.094740184473 K, F = -0.0005728130342730342, relative_change = 9.998131859360261e-9 Iter 100: T = 708.0947185605557 K, F = -0.0002395572531185275, relative_change = 4.181338778064997e-9 Iter 105: T = 708.0947095171747 K, F = -0.00010018570385628145, relative_change = 1.7486859135388313e-9 Iter 110: T = 708.0947057351246 K, F = -4.1898859049038784e-5, relative_change = 7.313213727649983e-10 Iter 115: T = 708.0947041534262 K, F = -1.752260404963568e-5, relative_change = 3.0584734942982473e-10 Iter 120: T = 708.0947034919409 K, F = -7.32816250870183e-6, relative_change = 1.279090187221781e-10 Iter 125: T = 708.0947032152998 K, F = -3.0647242457160218e-6, relative_change = 5.3493064760406715e-11 Iter 130: T = 708.0947030996051 K, F = -1.281702621702685e-6, relative_change = 2.237140959598533e-11 Iter 135: T = 708.0947030512203 K, F = -5.36023640584915e-7, relative_change = 9.3559958585614e-12 Iter 140: T = 708.0947030309851 K, F = -2.2416996281471313e-7, relative_change = 3.912762582085086e-12 Iter 145: T = 708.0947030225227 K, F = -9.375148635193398e-8, relative_change = 1.6363802858672025e-12 Iter 150: T = 708.0947030189835 K, F = -3.920829283465821e-8, relative_change = 6.84359042563022e-13 Iter 155: T = 708.0947030175034 K, F = -1.6397891267061482e-8, relative_change = 2.8621611287729114e-13 Converged in 157 iterations to T = 708.0947030171902 K Iter 1: T = 973.4381715696416 K, F = -6052.1378746789305, relative_change = 0.026561828430358498 Iter 2: T = 949.0694594505011 K, F = -5121.693284148637, relative_change = 0.025033651680051346 Iter 3: T = 926.8270508013712 K, F = -4332.479264886974, relative_change = 0.02343601769886047 Iter 5: T = 888.4015558175389 K, F = -3096.021967569054, relative_change = 0.020109760086252045 Iter 10: T = 822.915635042903 K, F = -1325.8014648501678, relative_change = 0.012085036921835256 Iter 15: T = 789.1716285729622 K, F = -561.991846013, relative_change = 0.006202087837123242 Iter 20: T = 773.4161205306077 K, F = -236.60562991192606, relative_change = 0.002868648770542563 Iter 25: T = 766.475389802405 K, F = -99.2513750923005, relative_change = 0.0012556081476206432 Iter 30: T = 763.5051405046743 K, F = -41.56266012822091, relative_change = 0.0005355705848101074 Iter 35: T = 762.2506326971996 K, F = -17.39170181715872, relative_change = 0.00022586548438414736 Iter 40: T = 761.7237903516105 K, F = -7.275126126333896, relative_change = 9.479314518460842e-5 Iter 45: T = 761.503072296867 K, F = -3.0428443750399166, relative_change = 3.970225809523837e-5 Iter 50: T = 761.410697594826 K, F = -1.2726063477839267, relative_change = 1.6614235689267416e-5 Iter 55: T = 761.3720535216204 K, F = -0.5322283581854126, relative_change = 6.950070910018197e-6 Iter 60: T = 761.3558900315466 K, F = -0.2225858623949344, relative_change = 2.9069174449340485e-6 Iter 65: T = 761.3491299035859 K, F = -0.09308834694005319, relative_change = 1.2157626569196674e-6 Iter 70: T = 761.3463026737787 K, F = -0.03893070755121941, relative_change = 5.084560939779427e-7 Iter 75: T = 761.3451202813919 K, F = -0.016281295423176245, relative_change = 2.1264409534161298e-7 Iter 80: T = 761.3446257888306 K, F = -0.006809033687027344, relative_change = 8.893059479499495e-8 Iter 85: T = 761.344418985796 K, F = -0.002847619466277651, relative_change = 3.719188831145467e-8 Iter 90: T = 761.3443324982376 K, F = -0.0011909085126883268, relative_change = 1.5554100845875818e-8 Iter 95: T = 761.3442963280975 K, F = -0.0004980521682975692, relative_change = 6.5049122766023e-9 Iter 100: T = 761.3442812013111 K, F = -0.00020829136560229777, relative_change = 2.720432267207242e-9 Iter 105: T = 761.3442748751082 K, F = -8.710993853855431e-5, relative_change = 1.137717333048177e-9 Iter 110: T = 761.3442722294144 K, F = -3.6430414585564286e-5, relative_change = 4.758069573375477e-10 Iter 115: T = 761.3442711229537 K, F = -1.5235635013377546e-5, relative_change = 1.9898816061933473e-10 Iter 120: T = 761.3442706602186 K, F = -6.371723515918859e-6, relative_change = 8.321921239012517e-11 Iter 125: T = 761.3442704666974 K, F = -2.664731398760445e-6, relative_change = 3.4803275432530496e-11 Iter 130: T = 761.3442703857644 K, F = -1.1144231143456196e-6, relative_change = 1.455515352677625e-11 Iter 135: T = 761.3442703519173 K, F = -4.660666755862408e-7, relative_change = 6.0871601916576935e-12 Iter 140: T = 761.344270337762 K, F = -1.9491409908312107e-7, relative_change = 2.5457158964309683e-12 Iter 145: T = 761.344270331842 K, F = -8.151478092521813e-8, relative_change = 1.0646406523655536e-12 Iter 150: T = 761.3442703293662 K, F = -3.4088528888531755e-8, relative_change = 4.452202805761667e-13 Converged in 154 iterations to T = 761.3442703284726 K Iter 1: T = 964.3771138309041 K, F = -8116.708499741319, relative_change = 0.03562288616909589 Iter 2: T = 930.682909074867 K, F = -6885.786193491369, relative_change = 0.03493882659884979 Iter 3: T = 898.8865578152116 K, F = -5840.458780743778, relative_change = 0.03416453762029657 Iter 5: T = 840.8746377158469 K, F = -4199.038058656715, relative_change = 0.03232014201848811 Iter 10: T = 727.0685707830615 K, F = -1830.960853979051, relative_change = 0.025888028003010488 Iter 15: T = 653.7890238206106 K, F = -790.4512138959628, relative_change = 0.017676480015226616 Iter 20: T = 612.4393319465236 K, F = -337.40745637262523, relative_change = 0.010103925071482252 Iter 25: T = 591.8190556785108 K, F = -142.6873941302356, relative_change = 0.005001894284336971 Iter 30: T = 582.3885640531007 K, F = -59.99335158838504, relative_change = 0.0022673442191290735 Iter 35: T = 578.2785344895051 K, F = -25.149844705462897, relative_change = 0.0009828442750252865 Iter 40: T = 576.5283781751033 K, F = -10.528766339242503, relative_change = 0.00041742075648713265 Iter 45: T = 575.7907884349563 K, F = -4.405169634246251, relative_change = 0.00017571245837225428 Iter 50: T = 575.4813170607767 K, F = -1.8426311209005997, relative_change = 7.368672933118308e-5 Iter 55: T = 575.3517160690035 K, F = -0.7706693429296008, relative_change = 3.0852086705437056e-5 Iter 60: T = 575.297484464311 K, F = -0.32231345248404253, relative_change = 1.2908915953579016e-5 Iter 65: T = 575.2747987457174 K, F = -0.13479714242069382, relative_change = 5.399748816568103e-6 Iter 70: T = 575.2653103599847 K, F = -0.05637409093127299, relative_change = 2.2584294401256373e-6 Iter 75: T = 575.2613420380445 K, F = -0.023576373371900716, relative_change = 9.445353981104243e-7 Iter 80: T = 575.2596824094322 K, F = -0.00985993057511908, relative_change = 3.950217966736632e-7 Iter 85: T = 575.2589883278569 K, F = -0.004123542408363101, relative_change = 1.6520384958306064e-7 Iter 90: T = 575.2586980537665 K, F = -0.0017245149760828915, relative_change = 6.909040065963642e-8 Iter 95: T = 575.2585766575202 K, F = -0.0007212128093049275, relative_change = 2.8894461752618372e-8 Iter 100: T = 575.2585258881331 K, F = -0.00030161981952103734, relative_change = 1.2084014438468761e-8 Iter 105: T = 575.2585046557643 K, F = -0.00012614101243968445, relative_change = 5.0536801125173295e-9 Iter 110: T = 575.2584957761334 K, F = -5.275367816648391e-5, relative_change = 2.1135095449761334e-9 Iter 115: T = 575.2584920625654 K, F = -2.2062218171858827e-5, relative_change = 8.838949575325696e-10 Iter 120: T = 575.2584905095069 K, F = -9.226683073515485e-6, relative_change = 3.696554301442757e-10 Iter 125: T = 575.2584898599994 K, F = -3.858708318427162e-6, relative_change = 1.5459428697743682e-10 Iter 130: T = 575.2584895883675 K, F = -1.6137576597796688e-6, relative_change = 6.465316752175333e-11 Iter 135: T = 575.2584894747679 K, F = -6.748930440059198e-7, relative_change = 2.7038739559173526e-11 Iter 140: T = 575.2584894272592 K, F = -2.8224833753531797e-7, relative_change = 1.1307924063536335e-11 Iter 145: T = 575.2584894073905 K, F = -1.1804045429997245e-7, relative_change = 4.729142093536273e-12 Iter 150: T = 575.2584893990811 K, F = -4.9365161958192516e-8, relative_change = 1.977753023497411e-12 Iter 155: T = 575.258489395606 K, F = -2.064506443577585e-8, relative_change = 8.271184979380518e-13 Iter 160: T = 575.2584893941527 K, F = -8.633625259157895e-9, relative_change = 3.458953193590375e-13 Converged in 163 iterations to T = 575.2584893937272 K Iter 1: T = 963.5992476059654 K, F = -8293.946059035423, relative_change = 0.03640075239403466 Iter 2: T = 929.0786212452621 K, F = -7037.620004043264, relative_change = 0.03582467135219209 Iter 3: T = 896.4047338009796 K, F = -5970.6691513898395, relative_change = 0.035168054346669864 Iter 5: T = 836.478732572047 K, F = -4295.129189761427, relative_change = 0.033584099726396324 Iter 10: T = 717.0433250648026 K, F = -1876.791910364757, relative_change = 0.027828442160126445 Iter 15: T = 637.6862561577846 K, F = -812.5860595818763, relative_change = 0.01989642055031523 Iter 20: T = 591.2801477892777 K, F = -347.87126486757126, relative_change = 0.011903132185778466 Iter 25: T = 567.439583699944 K, F = -147.42621392682057, relative_change = 0.006088193563023857 Iter 30: T = 556.3299706226993 K, F = -62.06036735444414, relative_change = 0.002810525475228817 Iter 35: T = 551.4409642805771 K, F = -26.031464547143607, relative_change = 0.0012290074731676449 Iter 40: T = 549.3497547645532 K, F = -10.900669810040286, relative_change = 0.0005240027283526982 Iter 45: T = 548.4667044796163 K, F = -4.5612792105711355, relative_change = 0.00022094675058665573 Iter 50: T = 548.095892975473 K, F = -1.9080197674604837, relative_change = 9.272165840674575e-5 Iter 55: T = 547.9405492559042 K, F = -0.7980335401544157, relative_change = 3.883339719373425e-5 Iter 60: T = 547.8755360044789 K, F = -0.3337606209380003, relative_change = 1.6250421932853035e-5 Iter 65: T = 547.8483385162021 K, F = -0.1395850336508842, relative_change = 6.797841584717756e-6 Iter 70: T = 547.8369627720689 K, F = -0.05837654022041194, relative_change = 2.843239661267325e-6 Iter 75: T = 547.8322050499005 K, F = -0.024413838370831553, relative_change = 1.1891294572771663e-6 Iter 80: T = 547.8302152699209 K, F = -0.01021017137703234, relative_change = 4.973173537892785e-7 Iter 85: T = 547.8293831125185 K, F = -0.004270017809625243, relative_change = 2.0798566805629255e-7 Iter 90: T = 547.8290350930165 K, F = -0.00178577282839687, relative_change = 8.698237210962699e-8 Iter 95: T = 547.8288895468704 K, F = -0.0007468315907065426, relative_change = 3.6377116092056314e-8 Iter 100: T = 547.828828677693 K, F = -0.00031233390216037216, relative_change = 1.521335301011361e-8 Iter 105: T = 547.8288032214689 K, F = -0.00013062177010422782, relative_change = 6.362407427672419e-9 Iter 110: T = 547.8287925753707 K, F = -5.462758452295935e-5, relative_change = 2.6608350308185764e-9 Iter 115: T = 547.828788123045 K, F = -2.284590779988438e-5, relative_change = 1.1127930086552525e-9 Iter 120: T = 547.8287862610292 K, F = -9.554431009334285e-6, relative_change = 4.653833103959809e-10 Iter 125: T = 547.828785482312 K, F = -3.99577684295771e-6, relative_change = 1.9462884451695077e-10 Iter 130: T = 547.8287851566432 K, F = -1.6710819628062978e-6, relative_change = 8.139612526355624e-11 Iter 135: T = 547.8287850204447 K, F = -6.988665602059019e-7, relative_change = 3.40408378586242e-11 Iter 140: T = 547.8287849634847 K, F = -2.9227409420462536e-7, relative_change = 1.423627287745684e-11 Iter 145: T = 547.8287849396634 K, F = -1.222320950011735e-7, relative_change = 5.953758795885212e-12 Iter 150: T = 547.8287849297011 K, F = -5.111891940301483e-8, relative_change = 2.489932910462464e-12 Iter 155: T = 547.8287849255346 K, F = -2.137793245204911e-8, relative_change = 1.04128996061659e-12 Iter 160: T = 547.8287849237922 K, F = -8.940711726523887e-9, relative_change = 4.3548988577915265e-13 Converged in 164 iterations to T = 547.8287849231632 K Iter 1: T = 969.3194213784432 K, F = -6990.599023686353, relative_change = 0.03068057862155679 Iter 2: T = 940.7797130575229 K, F = -5922.525572277965, relative_change = 0.029443037755639567 Iter 3: T = 914.3418064061923 K, F = -5015.95076522104, relative_change = 0.028102122403774785 Iter 5: T = 867.5856236064814 K, F = -3593.8319073404386, relative_change = 0.025142031770956044 Iter 10: T = 783.3421236206524 K, F = -1549.8214393311378, relative_change = 0.016873878678835073 Iter 15: T = 736.41612884426 K, F = -660.8647612413023, relative_change = 0.009491547205568295 Iter 20: T = 713.2523910222733 K, F = -279.27604494417443, relative_change = 0.004647750106074015 Iter 25: T = 702.7236539425079 K, F = -117.37687781006716, relative_change = 0.002094459101406997 Iter 30: T = 698.1491782433922 K, F = -49.196576374998955, relative_change = 0.0009053907999008202 Iter 35: T = 696.203996438379 K, F = -20.594050795653086, relative_change = 0.00038405650481259263 Iter 40: T = 695.3847169688406 K, F = -8.616121655596444, relative_change = 0.00016158342968264428 Iter 45: T = 695.0410604495746 K, F = -3.6039703261125853, relative_change = 6.774664354995473e-5 Iter 50: T = 694.8971591193327 K, F = -1.5073295321590652, relative_change = 2.8362390769243228e-5 Iter 55: T = 694.8369462993546 K, F = -0.630401785298165, relative_change = 1.1866734393597558e-5 Iter 60: T = 694.8117590529847 K, F = -0.26364480491533904, relative_change = 4.963727793405034e-6 Iter 65: T = 694.801224478878 K, F = -0.1102599744488621, relative_change = 2.0760508016847813e-6 Iter 70: T = 694.7968186250423 K, F = -0.046112137518935836, relative_change = 8.682573235849398e-7 Iter 75: T = 694.7949760147676 K, F = -0.01928466399165174, relative_change = 3.6312049417983137e-7 Iter 80: T = 694.794205407971 K, F = -0.008065079828364352, relative_change = 1.5186218639518603e-7 Iter 85: T = 694.7938831301009 K, F = -0.0033729132319377797, relative_change = 6.351073021199038e-8 Iter 90: T = 694.7937483494885 K, F = -0.0014105926872797214, relative_change = 2.6560972127863683e-8 Iter 95: T = 694.7936919825992 K, F = -0.0005899267245889073, relative_change = 1.1108120354550943e-8 Iter 100: T = 694.793668409288 K, F = -0.0002467144054717485, relative_change = 4.6455494176659526e-9 Iter 105: T = 694.7936585506468 K, F = -0.00010317890994437917, relative_change = 1.9428243619276643e-9 Iter 110: T = 694.7936544276453 K, F = -4.3150653356915925e-5, relative_change = 8.125123921998649e-10 Iter 115: T = 694.7936527033568 K, F = -1.8046118913872533e-5, relative_change = 3.3980239651538596e-10 Iter 120: T = 694.7936519822388 K, F = -7.547102937377481e-6, relative_change = 1.421094302759102e-10 Iter 125: T = 694.7936516806585 K, F = -3.1562885899338866e-6, relative_change = 5.943186119900299e-11 Iter 130: T = 694.793651554534 K, F = -1.3199965913646139e-6, relative_change = 2.4855095481172143e-11 Iter 135: T = 694.7936515017874 K, F = -5.520398308478391e-7, relative_change = 1.0394725865093185e-11 Iter 140: T = 694.7936514797279 K, F = -2.3086906375535676e-7, relative_change = 4.34718745773236e-12 Iter 145: T = 694.7936514705025 K, F = -9.655216548498657e-8, relative_change = 1.8180450685438734e-12 Iter 150: T = 694.7936514666443 K, F = -4.037980438909017e-8, relative_change = 7.603382469107624e-13 Iter 155: T = 694.7936514650308 K, F = -1.6888122233993386e-8, relative_change = 3.179977081964389e-13 Converged in 158 iterations to T = 694.7936514645584 K Iter 1: T = 966.4425226045748 K, F = -7646.103145949494, relative_change = 0.03355747739542519 Iter 2: T = 934.9225256001937 K, F = -6482.93236315797, relative_change = 0.03261445587000286 Iter 3: T = 905.410331876674 K, F = -5495.306766623607, relative_change = 0.03156645916149437 Iter 5: T = 852.2852198134194 K, F = -3945.0243919928353, relative_change = 0.029150218149073467 Iter 10: T = 752.002775948028 K, F = -1711.5279021943622, relative_change = 0.021527523214790567 Iter 15: T = 691.8033627496824 K, F = -734.3336455251157, relative_change = 0.01333258998085794 Iter 20: T = 660.1432359735603 K, F = -311.74582013500634, relative_change = 0.007003129251601333 Iter 25: T = 645.1570681318839 K, F = -131.36676037681121, relative_change = 0.0032836304398916574 Iter 30: T = 638.5065062004172 K, F = -55.1303389549655, relative_change = 0.0014469523399256185 Iter 35: T = 635.6505445319772 K, F = -23.09112289652788, relative_change = 0.0006190620363052072 Iter 40: T = 634.4424599032627 K, F = -9.663215979151778, relative_change = 0.00026141852410610885 Iter 45: T = 633.9347810989134 K, F = -4.042371349240777, relative_change = 0.00010977531351479705 Iter 50: T = 633.7220326976536 K, F = -1.690760856006166, relative_change = 4.59879917587296e-5 Iter 55: T = 633.6329831077479 K, F = -0.7071301656715799, relative_change = 1.924651702396511e-5 Iter 60: T = 633.5957282512317 K, F = -0.2957361925331473, relative_change = 8.051537637354244e-6 Iter 65: T = 633.5801455056089 K, F = -0.1236814418680876, relative_change = 3.367671656590767e-6 Iter 70: T = 633.5736282094648 K, F = -0.051725236970325716, relative_change = 1.4084744075811442e-6 Iter 75: T = 633.5709025273973 K, F = -0.021632143470180276, relative_change = 5.890537444812938e-7 Iter 80: T = 633.5697626021889 K, F = -0.00904682627315756, relative_change = 2.463515715994511e-7 Iter 85: T = 633.5692858696818 K, F = -0.003783491757515245, relative_change = 1.0302756475452175e-7 Iter 90: T = 633.5690864940741 K, F = -0.001582301606927572, relative_change = 4.308742715941533e-8 Iter 95: T = 633.5690031127474 K, F = -0.0006617374577546076, relative_change = 1.801968869278021e-8 Iter 100: T = 633.5689682416693 K, F = -0.0002767465117444745, relative_change = 7.536051098179614e-9 Iter 105: T = 633.5689536581659 K, F = -0.00011573869775732826, relative_change = 3.151666954798229e-9 Iter 110: T = 633.5689475591702 K, F = -4.840330475897048e-5, relative_change = 1.3180647964724363e-9 Iter 115: T = 633.5689450084974 K, F = -2.0242839759432307e-5, relative_change = 5.512304399836088e-10 Iter 120: T = 633.5689439417755 K, F = -8.465796761669697e-6, relative_change = 2.3053113923800493e-10 Iter 125: T = 633.5689434956597 K, F = -3.540497325038583e-6, relative_change = 9.641087632080877e-11 Iter 130: T = 633.5689433090887 K, F = -1.4806772846154281e-6, relative_change = 4.032015325888542e-11 Iter 135: T = 633.5689432310626 K, F = -6.192377283720241e-7, relative_change = 1.6862391545885222e-11 Iter 140: T = 633.568943198431 K, F = -2.589730808133517e-7, relative_change = 7.052066257445782e-12 Iter 145: T = 633.5689431847841 K, F = -1.0830436369957397e-7, relative_change = 2.9492237048710662e-12 Iter 150: T = 633.5689431790768 K, F = -4.529411257170324e-8, relative_change = 1.2333987840401326e-12 Iter 155: T = 633.5689431766899 K, F = -1.8941840984609826e-8, relative_change = 5.15803099162912e-13 Converged in 160 iterations to T = 633.5689431756917 K Iter 1: T = 966.5398814974388 K, F = -7623.919829598201, relative_change = 0.03346011850256112 Iter 2: T = 935.1216546759414 K, F = -6463.95344551585, relative_change = 0.03250587732895397 Iter 3: T = 905.7155150407614 K, F = -5479.057946201095, relative_change = 0.03144632517933774 Iter 5: T = 852.8140268063263 K, F = -3933.090363035724, relative_change = 0.02900712288254879 Iter 10: T = 753.12347935187 K, F = -1705.9722838930672, relative_change = 0.02134605190013199 Iter 15: T = 693.4534136858247 K, F = -731.768122248564, relative_change = 0.01316876792363869 Iter 20: T = 662.1555674075536 K, F = -310.59462893490274, relative_change = 0.006895831244354364 Iter 25: T = 647.3679347988159 K, F = -130.8658535382872, relative_change = 0.003227389085416678 Iter 30: T = 640.8120066042299 K, F = -54.91679688628579, relative_change = 0.0014208690362743945 Iter 35: T = 637.9980133477022 K, F = -23.001048520737374, relative_change = 0.0006076509495036857 Iter 40: T = 636.8079303945511 K, F = -9.62540663476425, relative_change = 0.0002565538525972566 Iter 45: T = 636.3078613226401 K, F = -4.026534327869238, relative_change = 0.00010772434010294536 Iter 50: T = 636.0983097976074 K, F = -1.6841332771819775, relative_change = 4.512733679165837e-5 Iter 55: T = 636.0105997113907 K, F = -0.7043576707145367, relative_change = 1.8886069376030493e-5 Iter 60: T = 635.9739054951815 K, F = -0.2945765685523508, relative_change = 7.900704531017253e-6 Iter 65: T = 635.9585572937397 K, F = -0.1231964499132952, relative_change = 3.3045757695920317e-6 Iter 70: T = 635.9521381003701 K, F = -0.05152240345728493, relative_change = 1.3820842108233946e-6 Iter 75: T = 635.949453448433 K, F = -0.02154731535803267, relative_change = 5.780165691725678e-7 Iter 80: T = 635.9483306829314 K, F = -0.009011350019431263, relative_change = 2.4173560916493415e-7 Iter 85: T = 635.9478611268911 K, F = -0.0037686551412082214, relative_change = 1.0109709941879397e-7 Iter 90: T = 635.9476647525804 K, F = -0.0015760967530183967, relative_change = 4.228008093480864e-8 Iter 95: T = 635.9475826264342 K, F = -0.0006591425135690221, relative_change = 1.7682046424177984e-8 Iter 100: T = 635.947548280288 K, F = -0.00027566127694134135, relative_change = 7.394845043687598e-9 Iter 105: T = 635.9475339163173 K, F = -0.0001152848384166627, relative_change = 3.0926128512226468e-9 Iter 110: T = 635.9475279091329 K, F = -4.8213496260107735e-5, relative_change = 1.2933676872856435e-9 Iter 115: T = 635.9475253968566 K, F = -2.0163459898359104e-5, relative_change = 5.409018223075253e-10 Iter 120: T = 635.9475243461926 K, F = -8.432599289842635e-6, relative_change = 2.2621159173746862e-10 Iter 125: T = 635.9475239067924 K, F = -3.526613287396785e-6, relative_change = 9.460437765254014e-11 Iter 130: T = 635.9475237230299 K, F = -1.4748707439782294e-6, relative_change = 3.9564652450722626e-11 Iter 135: T = 635.9475236461783 K, F = -6.168078817703204e-7, relative_change = 1.6546392004037225e-11 Iter 140: T = 635.947523614038 K, F = -2.57955814042532e-7, relative_change = 6.919882423753837e-12 Iter 145: T = 635.9475236005966 K, F = -1.0788047988263827e-7, relative_change = 2.893984923162199e-12 Iter 150: T = 635.9475235949752 K, F = -4.511613127533565e-8, relative_change = 1.2102782991859422e-12 Iter 155: T = 635.9475235926243 K, F = -1.8867604978378694e-8, relative_change = 5.061394276913518e-13 Converged in 160 iterations to T = 635.9475235916411 K Iter 1: T = 976.3875409677282 K, F = -5380.121251750293, relative_change = 0.02361245903227182 Iter 2: T = 954.9377281693353 K, F = -4549.30964264891, relative_change = 0.021968544147064097 Iter 3: T = 935.5593371495851 K, F = -3845.05340078208, relative_change = 0.020292832137755755 Iter 5: T = 902.5974277424981 K, F = -2742.911777815535, relative_change = 0.016939089508630514 Iter 10: T = 848.2838892810139 K, F = -1169.713213418969, relative_change = 0.009540687127500053 Iter 15: T = 821.4513274332069 K, F = -494.3396788989077, relative_change = 0.004675914815627839 Iter 20: T = 809.2489549546965 K, F = -207.77238627930856, relative_change = 0.002108140472566175 Iter 25: T = 803.9460153510792 K, F = -87.08563332339625, relative_change = 0.0009115056599195547 Iter 30: T = 801.6908192292261 K, F = -36.454925668814056, relative_change = 0.0003866878163443916 Iter 35: T = 800.740920448059 K, F = -15.252023272105431, relative_change = 0.00016269723237437875 Iter 40: T = 800.3424658674505 K, F = -6.37965729627133, relative_change = 6.821481648023357e-5 Iter 45: T = 800.1756171684294 K, F = -2.668237994826944, relative_change = 2.8558602646207145e-5 Iter 50: T = 800.1058021964463 K, F = -1.1159221024254902, relative_change = 1.1948865537121663e-5 Iter 55: T = 800.0765982895877 K, F = -0.4666977427877611, relative_change = 4.998088797523959e-6 Iter 60: T = 800.0643837380974 K, F = -0.1951795828449815, relative_change = 2.0904232199366228e-6 Iter 65: T = 800.0592752693184 K, F = -0.08162660969986557, relative_change = 8.742684316484146e-7 Iter 70: T = 800.0571388121267 K, F = -0.03413725399494494, relative_change = 3.6563447977689017e-7 Iter 75: T = 800.0562453141732 K, F = -0.014276612721658921, relative_change = 1.529135771405334e-7 Iter 80: T = 800.0558716416019 K, F = -0.005970650885090856, relative_change = 6.395043647935523e-8 Iter 85: T = 800.0557153670852 K, F = -0.00249699766961875, relative_change = 2.674486290384726e-8 Iter 90: T = 800.0556500111838 K, F = -0.0010442742739554811, relative_change = 1.118502571850638e-8 Iter 95: T = 800.0556226785598 K, F = -0.00043672798011828995, relative_change = 4.6777121739090855e-9 Iter 100: T = 800.0556112477288 K, F = -0.00018264485724150958, relative_change = 1.956275231342735e-9 Iter 105: T = 800.0556064672188 K, F = -7.638426143929955e-5, relative_change = 8.181376975301335e-10 Iter 110: T = 800.0556044679522 K, F = -3.1944809706807575e-5, relative_change = 3.421549528667055e-10 Iter 115: T = 800.0556036318351 K, F = -1.3359701555581971e-5, relative_change = 1.4309329499102914e-10 Iter 120: T = 800.055603282161 K, F = -5.5871857433942296e-6, relative_change = 5.984331432006041e-11 Iter 125: T = 800.0556031359231 K, F = -2.3366280229586422e-6, relative_change = 2.5027191106719957e-11 Iter 130: T = 800.0556030747647 K, F = -9.772082375514302e-7, relative_change = 1.0466696915752463e-11 Iter 135: T = 800.0556030491874 K, F = -4.086804209491035e-7, relative_change = 4.377300495179643e-12 Iter 140: T = 800.0556030384906 K, F = -1.7091305770655651e-7, relative_change = 1.830618189248596e-12 Iter 145: T = 800.0556030340172 K, F = -7.147795477724372e-8, relative_change = 7.655871699027876e-13 Iter 150: T = 800.0556030321465 K, F = -2.989388148133543e-8, relative_change = 3.20187842423354e-13 Converged in 153 iterations to T = 800.0556030315986 K Iter 1: T = 965.2698606412165 K, F = -7913.295289790193, relative_change = 0.03473013935878352 Iter 2: T = 932.5190051617882 K, F = -6711.60437800758, relative_change = 0.03392922209098331 Iter 3: T = 901.7180501241273 K, F = -5691.167074764134, relative_change = 0.0330298416087691 Iter 5: T = 845.852437811107 K, F = -4089.044987472875, relative_change = 0.030917796478222993 Iter 10: T = 738.1293286947817 K, F = -1778.9548534627288, relative_change = 0.023875135765631807 Iter 15: T = 670.978919485619 K, F = -765.7692560240813, relative_change = 0.015569105843688747 Iter 20: T = 634.3552992038962 K, F = -325.993456029866, relative_change = 0.008535477260347087 Iter 25: T = 616.5644461219272 K, F = -137.61010830453822, relative_change = 0.0041097174320756475 Iter 30: T = 608.5535626302327 K, F = -57.802154817652045, relative_change = 0.001835614067343746 Iter 35: T = 605.0892025569156 K, F = -24.220157493636165, relative_change = 0.0007902200025650526 Iter 40: T = 603.6191658810908 K, F = -10.137512486577798, relative_change = 0.0003345946017518181 Iter 45: T = 603.0005731190824 K, F = -4.241105125824606, relative_change = 0.0001406644314207212 Iter 50: T = 602.741197181917 K, F = -1.7739401642630797, relative_change = 5.8956730948122074e-5 Iter 55: T = 602.6326047997237 K, F = -0.7419284065420211, relative_change = 2.4679076638486263e-5 Iter 60: T = 602.5871694430582 K, F = -0.31029127451171656, relative_change = 1.0325054533722351e-5 Iter 65: T = 602.568164206401 K, F = -0.1297689083231681, relative_change = 4.3187558542440524e-6 Iter 70: T = 602.5602153547229 K, F = -0.054271150655216205, relative_change = 1.8062768145159027e-6 Iter 75: T = 602.5568909389904 K, F = -0.02269688591296154, relative_change = 7.554277947125651e-7 Iter 80: T = 602.5555006092085 K, F = -0.009492116191704703, relative_change = 3.1593264385179396e-7 Iter 85: T = 602.554919153293 K, F = -0.003969717652195726, relative_change = 1.3212745501673034e-7 Iter 90: T = 602.554675980891 K, F = -0.001660183558381212, relative_change = 5.5257393374613145e-8 Iter 95: T = 602.5545742831846 K, F = -0.0006943086308374702, relative_change = 2.3109321720662082e-8 Iter 100: T = 602.554531751971 K, F = -0.0002903681676698078, relative_change = 9.664597789887805e-9 Iter 105: T = 602.5545139649064 K, F = -0.00012143543637971321, relative_change = 4.041850814465795e-9 Iter 110: T = 602.5545065261431 K, F = -5.078575025824206e-5, relative_change = 1.690350397123598e-9 Iter 115: T = 602.5545034151634 K, F = -2.1239207994794285e-5, relative_change = 7.069247646932927e-10 Iter 120: T = 602.5545021141145 K, F = -8.882491036643625e-6, relative_change = 2.9564440218575785e-10 Iter 125: T = 602.5545015700002 K, F = -3.7147634989187495e-6, relative_change = 1.2364200921680674e-10 Iter 130: T = 602.5545013424451 K, F = -1.5535581205372573e-6, relative_change = 5.170855368305047e-11 Iter 135: T = 602.5545012472788 K, F = -6.497165779828507e-7, relative_change = 2.1625135315206446e-11 Iter 140: T = 602.5545012074792 K, F = -2.717195618506807e-7, relative_change = 9.043900823494881e-12 Iter 145: T = 602.5545011908346 K, F = -1.136361765241567e-7, relative_change = 3.782261032591958e-12 Iter 150: T = 602.5545011838734 K, F = -4.752363186311115e-8, relative_change = 1.5817742767398253e-12 Iter 155: T = 602.5545011809623 K, F = -1.9875338874708603e-8, relative_change = 6.615298229895462e-13 Iter 160: T = 602.5545011797449 K, F = -8.312199595295056e-9, relative_change = 2.766628514686309e-13 Converged in 162 iterations to T = 602.5545011794871 K Iter 1: T = 964.5865946995934 K, F = -8068.978084542708, relative_change = 0.03541340530040657 Iter 2: T = 931.1142352846675 K, F = -6844.907570030818, relative_change = 0.0347012488032247 Iter 3: T = 899.5525711861573 K, F = -5805.413566852713, relative_change = 0.03389666155072908 Iter 5: T = 842.0490525694273 K, F = -4173.200881000498, relative_change = 0.03198653501443586 Iter 10: T = 729.7051769263539 K, F = -1818.7025232772546, relative_change = 0.02539632253207174 Iter 15: T = 657.9385116197707 K, F = -784.5947304453671, relative_change = 0.01714423624782255 Iter 20: T = 617.7883343058546 K, F = -334.6775379286623, relative_change = 0.009695600504222746 Iter 25: T = 597.9018796644269 K, F = -141.46547595668008, relative_change = 0.004764888388154855 Iter 30: T = 588.8443716067511 K, F = -59.464115186936056, relative_change = 0.0021514154635912807 Iter 35: T = 584.9050918739767 K, F = -24.924906945676636, relative_change = 0.0009308594806888949 Iter 40: T = 583.2292343456481 K, F = -10.434028721502491, relative_change = 0.00039501839386913177 Iter 45: T = 582.5232479685536 K, F = -4.365429985155518, relative_change = 0.00016622389560939512 Iter 50: T = 582.227088283339 K, F = -1.8259904605965898, relative_change = 6.969728141831224e-5 Iter 55: T = 582.1030711236566 K, F = -0.7637063204511838, relative_change = 2.917991908452246e-5 Iter 60: T = 582.0511776802545 K, F = -0.3194007851287754, relative_change = 1.2208940993828696e-5 Iter 65: T = 582.0294703229463 K, F = -0.13357891669407754, relative_change = 5.106896339725295e-6 Iter 70: T = 582.0203911895991 K, F = -0.05586459453381981, relative_change = 2.1359349864745792e-6 Iter 75: T = 582.0165940376415 K, F = -0.023363292421983206, relative_change = 8.933032472440616e-7 Iter 80: T = 582.0150059971148 K, F = -0.009770816970085971, relative_change = 3.7359528584691215e-7 Iter 85: T = 582.0143418550135 K, F = -0.004086273929603201, relative_change = 1.5624291961703142e-7 Iter 90: T = 582.0140641020529 K, F = -0.0017089288345957243, relative_change = 6.53428139638428e-8 Iter 95: T = 582.0139479423074 K, F = -0.0007146944953572709, relative_change = 2.7327172951814614e-8 Iter 100: T = 582.01389936289 K, F = -0.00029889378181680026, relative_change = 1.1428554954294362e-8 Iter 105: T = 582.0138790463933 K, F = -0.00012500095109985176, relative_change = 4.7795590383861705e-9 Iter 110: T = 582.0138705497909 K, F = -5.227689041847894e-5, relative_change = 1.998868802724324e-9 Iter 115: T = 582.0138669964102 K, F = -2.1862820483109502e-5, relative_change = 8.359508517754551e-10 Iter 120: T = 582.0138655103439 K, F = -9.143292209246034e-6, relative_change = 3.4960461799379974e-10 Iter 125: T = 582.0138648888533 K, F = -3.82383368963124e-6, relative_change = 1.4620881543955504e-10 Iter 130: T = 582.0138646289384 K, F = -1.5991728713471431e-6, relative_change = 6.114627117122373e-11 Iter 135: T = 582.0138645202389 K, F = -6.687928709725455e-7, relative_change = 2.557208855586769e-11 Iter 140: T = 582.0138644747794 K, F = -2.79696466043422e-7, relative_change = 1.0694526080525394e-11 Iter 145: T = 582.0138644557678 K, F = -1.169725146188405e-7, relative_change = 4.472582818748109e-12 Iter 150: T = 582.0138644478169 K, F = -4.891900601267096e-8, relative_change = 1.8704762099856316e-12 Iter 155: T = 582.0138644444917 K, F = -2.0457988025857077e-8, relative_change = 7.822354341718587e-13 Iter 160: T = 582.013864443101 K, F = -8.555128272469403e-9, relative_change = 3.271154753942042e-13 Converged in 163 iterations to T = 582.013864442694 K Iter 1: T = 964.306019194722 K, F = -8132.9074802238665, relative_change = 0.03569398080527798 Iter 2: T = 930.5364549608149 K, F = -6899.660794008212, relative_change = 0.035019551430476 Iter 3: T = 898.6602974324675 K, F = -5852.354588907028, relative_change = 0.03425567838681807 Iter 5: T = 840.4751590205788 K, F = -4207.810676152165, relative_change = 0.03243400852528806 Iter 10: T = 726.1678045313919 K, F = -1835.1290746343345, relative_change = 0.02605775867236566 Iter 15: T = 652.3635691529179 K, F = -792.4484251747554, relative_change = 0.01786294345993026 Iter 20: T = 610.5925806428993 K, F = -338.34183121718434, relative_change = 0.010249005883819098 Iter 25: T = 589.7119309545523 K, F = -143.10685728484717, relative_change = 0.005086929993957862 Iter 30: T = 580.148263224118 K, F = -60.17534533522296, relative_change = 0.002309160421051397 Iter 35: T = 575.9770700347079 K, F = -25.227262408347407, relative_change = 0.0010016428687133995 Iter 40: T = 574.2002601055029 K, F = -10.561385072255975, relative_change = 0.000425530874850061 Iter 45: T = 573.451325814943 K, F = -4.418854500091192, relative_change = 0.000179149155323689 Iter 50: T = 573.1370746799399 K, F = -1.8483619509249885, relative_change = 7.513197351471266e-5 Iter 55: T = 573.0054684983027 K, F = -0.7730673892949707, relative_change = 3.145790870896623e-5 Iter 60: T = 572.950397204242 K, F = -0.3233165797486182, relative_change = 1.3162524074265122e-5 Iter 65: T = 572.9273601256982 K, F = -0.1352167034669748, relative_change = 5.50585385474205e-6 Iter 70: T = 572.9177247634647 K, F = -0.056549563586898055, relative_change = 2.302811374681372e-6 Iter 75: T = 572.913694968323 K, F = -0.02364975939459857, relative_change = 9.630977722635322e-7 Iter 80: T = 572.9120096298562 K, F = -0.009890621707453529, relative_change = 4.02785033969438e-7 Iter 85: T = 572.911304795933 K, F = -0.0041363778464198475, relative_change = 1.6845056854276664e-7 Iter 90: T = 572.9110100250508 K, F = -0.0017298829163944762, relative_change = 7.044822436369395e-8 Iter 95: T = 572.910886748187 K, F = -0.0007234577472663428, relative_change = 2.9462321077115682e-8 Iter 100: T = 572.9108351923022 K, F = -0.0003025586796686075, relative_change = 1.2321500208974435e-8 Iter 105: T = 572.9108136310106 K, F = -0.000126533654106864, relative_change = 5.152999499390143e-9 Iter 110: T = 572.91080461382 K, F = -5.291788486927462e-5, relative_change = 2.1550460752759676e-9 Iter 115: T = 572.9108008427232 K, F = -2.213089205055363e-5, relative_change = 9.01266059070958e-10 Iter 120: T = 572.9107992656054 K, F = -9.255403605190615e-6, relative_change = 3.769202444542366e-10 Iter 125: T = 572.9107986060359 K, F = -3.87072053970039e-6, relative_change = 1.576325573977417e-10 Iter 130: T = 572.910798330196 K, F = -1.6187813607349e-6, relative_change = 6.592381023846926e-11 Iter 135: T = 572.9107982148365 K, F = -6.769933730277344e-7, relative_change = 2.7570111555216078e-11 Iter 140: T = 572.9107981665919 K, F = -2.831279806714271e-7, relative_change = 1.1530201513987344e-11 Iter 145: T = 572.9107981464153 K, F = -1.1840743208146876e-7, relative_change = 4.822065094535516e-12 Iter 150: T = 572.9107981379773 K, F = -4.9520132661129423e-8, relative_change = 2.0166749586668537e-12 Iter 155: T = 572.9107981344483 K, F = -2.0709504056082295e-8, relative_change = 8.433809845246698e-13 Iter 160: T = 572.9107981329726 K, F = -8.661123929165626e-9, relative_change = 3.5271859754720333e-13 Converged in 163 iterations to T = 572.9107981325404 K Iter 1: T = 979.9300077256789 K, F = -4572.966831195376, relative_change = 0.020069992274321016 Iter 2: T = 961.912799901705 K, F = -3863.0229112224542, relative_change = 0.018386219099249923 Iter 3: T = 945.8289950701765 K, F = -3261.775207730122, relative_change = 0.016720647477788037 Iter 5: T = 918.9431474625198 K, F = -2322.2523641926737, relative_change = 0.013533789441706032 Iter 10: T = 876.1727260217112 K, F = -986.1068497372432, relative_change = 0.007135906516909696 Iter 15: T = 855.8815644617163 K, F = -415.59863229832473, relative_change = 0.003353536926562403 Iter 20: T = 846.8655699437987 K, F = -174.42637220182834, relative_change = 0.001479444711603929 Iter 25: T = 842.9915296345981 K, F = -73.06030692116761, relative_change = 0.0006332911711833302 Iter 30: T = 841.352364326599 K, F = -30.574869583484592, relative_change = 0.00026748717543914987 Iter 35: T = 840.6634532796338 K, F = -12.790334117519857, relative_change = 0.00011233435963897501 Iter 40: T = 840.3747438197538 K, F = -5.349695056314426, relative_change = 4.7061933142223955e-5 Iter 45: T = 840.2538969840938 K, F = -2.237415761891328, relative_change = 1.9696304858119644e-5 Iter 50: T = 840.2033389848964 K, F = -0.9357331379442325, relative_change = 8.239758625608325e-6 Iter 55: T = 840.1821918039342 K, F = -0.39133812274956237, relative_change = 3.4464079340481063e-6 Iter 60: T = 840.1733472366371 K, F = -0.16366286235415095, relative_change = 1.4414063602756943e-6 Iter 65: T = 840.1696482343704 K, F = -0.06844586604382563, relative_change = 6.028268928188009e-7 Iter 70: T = 840.1681012502017 K, F = -0.028624896513946174, relative_change = 2.5211177388029283e-7 Iter 75: T = 840.1674542799312 K, F = -0.011971276707821943, relative_change = 1.0543656884925375e-7 Iter 80: T = 840.1671837087101 K, F = -0.0050065314321787735, relative_change = 4.409490469067539e-8 Iter 85: T = 840.167070552502 K, F = -0.0020937913302536693, relative_change = 1.8441028405719612e-8 Iter 90: T = 840.1670232292083 K, F = -0.0008756485583918394, relative_change = 7.71226054670549e-9 Iter 95: T = 840.1670034380388 K, F = -0.0003662066866940705, relative_change = 3.225359844917577e-9 Iter 100: T = 840.1669951611349 K, F = -0.0001531520101987205, relative_change = 1.3488840727973037e-9 Iter 105: T = 840.1669916996348 K, F = -6.404999936027167e-5, relative_change = 5.641194365156835e-10 Iter 110: T = 840.1669902519941 K, F = -2.6786476498008582e-5, relative_change = 2.3592150356268904e-10 Iter 115: T = 840.1669896465735 K, F = -1.1202424762268848e-5, relative_change = 9.866519408502794e-11 Iter 120: T = 840.1669893933793 K, F = -4.684986904646138e-6, relative_change = 4.1262954467936965e-11 Iter 125: T = 840.1669892874905 K, F = -1.959318443933711e-6, relative_change = 1.7256668894541377e-11 Iter 130: T = 840.1669892432064 K, F = -8.19410457486569e-7, relative_change = 7.2169457705556465e-12 Iter 135: T = 840.1669892246864 K, F = -3.4268693194228206e-7, relative_change = 3.0182102043842293e-12 Iter 140: T = 840.1669892169411 K, F = -1.4331620468155393e-7, relative_change = 1.2622554031775169e-12 Iter 145: T = 840.166989213702 K, F = -5.993797391745659e-8, relative_change = 5.279028397543741e-13 Converged in 150 iterations to T = 840.1669892123473 K Variable extinction detected - using variable ray tracing Found spectral variation: bin 2, face (1,1) β = 1.001111111111111 vs reference β = 1.0 Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Running direct ray tracing for 10 spectral bins Processing spectral bin 1/10 ┌ Warning: No emitters found for spectral bin 1 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 1 ray tracing: 6%|██ | ETA: 0:00:14 Bin 1 ray tracing: 14%|████▏ | ETA: 0:00:13 Bin 1 ray tracing: 21%|██████▎ | ETA: 0:00:12 Bin 1 ray tracing: 28%|████████▍ | ETA: 0:00:11 Bin 1 ray tracing: 35%|██████████▌ | ETA: 0:00:09 Bin 1 ray tracing: 42%|████████████▊ | ETA: 0:00:08 Bin 1 ray tracing: 50%|██████████████▉ | ETA: 0:00:07 Bin 1 ray tracing: 57%|█████████████████▏ | ETA: 0:00:06 Bin 1 ray tracing: 64%|███████████████████▏ | ETA: 0:00:05 Bin 1 ray tracing: 70%|█████████████████████▏ | ETA: 0:00:04 Bin 1 ray tracing: 76%|███████████████████████ | ETA: 0:00:03 Bin 1 ray tracing: 83%|████████████████████████▊ | ETA: 0:00:03 Bin 1 ray tracing: 89%|██████████████████████████▊ | ETA: 0:00:02 Bin 1 ray tracing: 95%|████████████████████████████▋ | ETA: 0:00:01 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:14 Updating spectral results for spectral bin 1 Energy per ray: 0.0 Processing spectral bin 2/10 ┌ Warning: No emitters found for spectral bin 2 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 2 ray tracing: 7%|██ | ETA: 0:00:15 Bin 2 ray tracing: 13%|███▉ | ETA: 0:00:14 Bin 2 ray tracing: 20%|█████▉ | ETA: 0:00:12 Bin 2 ray tracing: 26%|███████▊ | ETA: 0:00:12 Bin 2 ray tracing: 32%|█████████▊ | ETA: 0:00:11 Bin 2 ray tracing: 39%|███████████▊ | ETA: 0:00:09 Bin 2 ray tracing: 46%|█████████████▋ | ETA: 0:00:08 Bin 2 ray tracing: 52%|███████████████▋ | ETA: 0:00:07 Bin 2 ray tracing: 59%|█████████████████▋ | ETA: 0:00:06 Bin 2 ray tracing: 65%|███████████████████▌ | ETA: 0:00:05 Bin 2 ray tracing: 72%|█████████████████████▌ | ETA: 0:00:04 Bin 2 ray tracing: 78%|███████████████████████▌ | ETA: 0:00:03 Bin 2 ray tracing: 85%|█████████████████████████▍ | ETA: 0:00:02 Bin 2 ray tracing: 91%|███████████████████████████▍ | ETA: 0:00:01 Bin 2 ray tracing: 98%|█████████████████████████████▎| ETA: 0:00:00 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 2 Energy per ray: 0.0 Processing spectral bin 3/10 ┌ Warning: No emitters found for spectral bin 3 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 3 ray tracing: 7%|██ | ETA: 0:00:15 Bin 3 ray tracing: 13%|███▉ | ETA: 0:00:14 Bin 3 ray tracing: 19%|█████▊ | ETA: 0:00:13 Bin 3 ray tracing: 26%|███████▋ | ETA: 0:00:12 Bin 3 ray tracing: 32%|█████████▌ | ETA: 0:00:11 Bin 3 ray tracing: 38%|███████████▍ | ETA: 0:00:10 Bin 3 ray tracing: 45%|█████████████▍ | ETA: 0:00:09 Bin 3 ray tracing: 51%|███████████████▎ | ETA: 0:00:08 Bin 3 ray tracing: 57%|█████████████████▎ | ETA: 0:00:07 Bin 3 ray tracing: 64%|███████████████████▏ | ETA: 0:00:06 Bin 3 ray tracing: 70%|█████████████████████▏ | ETA: 0:00:05 Bin 3 ray tracing: 77%|███████████████████████ | ETA: 0:00:04 Bin 3 ray tracing: 83%|████████████████████████▉ | ETA: 0:00:03 Bin 3 ray tracing: 90%|███████████████████████████▏ | ETA: 0:00:01 Bin 3 ray tracing: 98%|█████████████████████████████▍| ETA: 0:00:00 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 8%|██▍ | ETA: 0:00:12 Bin 4 ray tracing: 16%|████▊ | ETA: 0:00:11 Bin 4 ray tracing: 23%|██████▉ | ETA: 0:00:10 Bin 4 ray tracing: 31%|█████████▎ | ETA: 0:00:09 Bin 4 ray tracing: 38%|███████████▌ | ETA: 0:00:08 Bin 4 ray tracing: 46%|█████████████▊ | ETA: 0:00:07 Bin 4 ray tracing: 54%|████████████████▏ | ETA: 0:00:06 Bin 4 ray tracing: 61%|██████████████████▌ | ETA: 0:00:05 Bin 4 ray tracing: 69%|████████████████████▊ | ETA: 0:00:04 Bin 4 ray tracing: 77%|███████████████████████▏ | ETA: 0:00:03 Bin 4 ray tracing: 85%|█████████████████████████▍ | ETA: 0:00:02 Bin 4 ray tracing: 93%|███████████████████████████▊ | ETA: 0:00:01 Bin 4 ray tracing: 100%|██████████████████████████████| Time: 0:00:13 Updating spectral results for spectral bin 4 Energy per ray: 0.0001853335835185918 Processing spectral bin 5/10 Bin 5 ray tracing: 7%|██▏ | ETA: 0:00:13 Bin 5 ray tracing: 14%|████▍ | ETA: 0:00:12 Bin 5 ray tracing: 22%|██████▌ | ETA: 0:00:11 Bin 5 ray tracing: 30%|████████▉ | ETA: 0:00:10 Bin 5 ray tracing: 37%|███████████▎ | ETA: 0:00:09 Bin 5 ray tracing: 44%|█████████████▎ | ETA: 0:00:08 Bin 5 ray tracing: 51%|███████████████▎ | ETA: 0:00:07 Bin 5 ray tracing: 58%|█████████████████▍ | ETA: 0:00:06 Bin 5 ray tracing: 65%|███████████████████▌ | ETA: 0:00:05 Bin 5 ray tracing: 72%|█████████████████████▌ | ETA: 0:00:04 Bin 5 ray tracing: 79%|███████████████████████▋ | ETA: 0:00:03 Bin 5 ray tracing: 86%|█████████████████████████▊ | ETA: 0:00:02 Bin 5 ray tracing: 93%|███████████████████████████▉ | ETA: 0:00:01 Bin 5 ray tracing: 99%|█████████████████████████████▉| ETA: 0:00:00 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:14 Updating spectral results for spectral bin 5 Energy per ray: 0.04303963948070305 Processing spectral bin 6/10 Bin 6 ray tracing: 7%|██ | ETA: 0:00:14 Bin 6 ray tracing: 14%|████▏ | ETA: 0:00:13 Bin 6 ray tracing: 20%|██████▏ | ETA: 0:00:12 Bin 6 ray tracing: 27%|████████▏ | ETA: 0:00:11 Bin 6 ray tracing: 34%|██████████▏ | ETA: 0:00:10 Bin 6 ray tracing: 40%|████████████▏ | ETA: 0:00:09 Bin 6 ray tracing: 47%|██████████████▏ | ETA: 0:00:08 Bin 6 ray tracing: 54%|████████████████▏ | ETA: 0:00:07 Bin 6 ray tracing: 60%|██████████████████▏ | ETA: 0:00:06 Bin 6 ray tracing: 67%|████████████████████▏ | ETA: 0:00:05 Bin 6 ray tracing: 74%|██████████████████████▏ | ETA: 0:00:04 Bin 6 ray tracing: 80%|████████████████████████▏ | ETA: 0:00:03 Bin 6 ray tracing: 87%|██████████████████████████ | ETA: 0:00:02 Bin 6 ray tracing: 93%|███████████████████████████▉ | ETA: 0:00:01 Bin 6 ray tracing: 99%|█████████████████████████████▉| ETA: 0:00:00 Bin 6 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 6 Energy per ray: 0.013246116789219251 Processing spectral bin 7/10 Bin 7 ray tracing: 6%|█▉ | ETA: 0:00:15 Bin 7 ray tracing: 13%|███▊ | ETA: 0:00:14 Bin 7 ray tracing: 19%|█████▋ | ETA: 0:00:13 Bin 7 ray tracing: 25%|███████▌ | ETA: 0:00:12 Bin 7 ray tracing: 31%|█████████▍ | ETA: 0:00:11 Bin 7 ray tracing: 38%|███████████▎ | ETA: 0:00:10 Bin 7 ray tracing: 44%|█████████████▎ | ETA: 0:00:09 Bin 7 ray tracing: 50%|███████████████ | ETA: 0:00:08 Bin 7 ray tracing: 56%|████████████████▉ | ETA: 0:00:07 Bin 7 ray tracing: 63%|██████████████████▊ | ETA: 0:00:06 Bin 7 ray tracing: 69%|████████████████████▊ | ETA: 0:00:05 Bin 7 ray tracing: 75%|██████████████████████▋ | ETA: 0:00:04 Bin 7 ray tracing: 82%|████████████████████████▌ | ETA: 0:00:03 Bin 7 ray tracing: 88%|██████████████████████████▎ | ETA: 0:00:02 Bin 7 ray tracing: 94%|████████████████████████████▎ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:16 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 7%|██ | ETA: 0:00:15 Bin 8 ray tracing: 13%|███▉ | ETA: 0:00:14 Bin 8 ray tracing: 19%|█████▊ | ETA: 0:00:13 Bin 8 ray tracing: 25%|███████▋ | ETA: 0:00:12 Bin 8 ray tracing: 32%|█████████▌ | ETA: 0:00:11 Bin 8 ray tracing: 38%|███████████▍ | ETA: 0:00:10 Bin 8 ray tracing: 44%|█████████████▎ | ETA: 0:00:09 Bin 8 ray tracing: 50%|███████████████▏ | ETA: 0:00:08 Bin 8 ray tracing: 57%|█████████████████ | ETA: 0:00:07 Bin 8 ray tracing: 63%|██████████████████▉ | ETA: 0:00:06 Bin 8 ray tracing: 69%|████████████████████▊ | ETA: 0:00:05 Bin 8 ray tracing: 76%|██████████████████████▋ | ETA: 0:00:04 Bin 8 ray tracing: 82%|████████████████████████▌ | ETA: 0:00:03 Bin 8 ray tracing: 88%|██████████████████████████▍ | ETA: 0:00:02 Bin 8 ray tracing: 95%|████████████████████████████▌ | ETA: 0:00:01 Bin 8 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 8 Energy per ray: 1.0195075180910974e-6 Processing spectral bin 9/10 Bin 9 ray tracing: 7%|██▎ | ETA: 0:00:13 Bin 9 ray tracing: 15%|████▋ | ETA: 0:00:11 Bin 9 ray tracing: 24%|███████▎ | ETA: 0:00:09 Bin 9 ray tracing: 34%|██████████▎ | ETA: 0:00:08 Bin 9 ray tracing: 44%|█████████████▏ | ETA: 0:00:06 Bin 9 ray tracing: 53%|████████████████ | ETA: 0:00:05 Bin 9 ray tracing: 62%|██████████████████▋ | ETA: 0:00:05 Bin 9 ray tracing: 69%|████████████████████▊ | ETA: 0:00:04 Bin 9 ray tracing: 76%|██████████████████████▉ | ETA: 0:00:03 Bin 9 ray tracing: 83%|████████████████████████▉ | ETA: 0:00:02 Bin 9 ray tracing: 89%|██████████████████████████▊ | ETA: 0:00:01 Bin 9 ray tracing: 96%|████████████████████████████▋ | ETA: 0:00:01 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:13 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 6%|█▊ | ETA: 0:00:15 Bin 10 ray tracing: 13%|███▋ | ETA: 0:00:14 Bin 10 ray tracing: 19%|█████▌ | ETA: 0:00:13 Bin 10 ray tracing: 25%|███████▎ | ETA: 0:00:12 Bin 10 ray tracing: 31%|█████████▏ | ETA: 0:00:11 Bin 10 ray tracing: 38%|███████████ | ETA: 0:00:10 Bin 10 ray tracing: 44%|████████████▉ | ETA: 0:00:09 Bin 10 ray tracing: 51%|██████████████▉ | ETA: 0:00:08 Bin 10 ray tracing: 58%|████████████████▊ | ETA: 0:00:07 Bin 10 ray tracing: 64%|██████████████████▋ | ETA: 0:00:06 Bin 10 ray tracing: 70%|████████████████████▌ | ETA: 0:00:05 Bin 10 ray tracing: 77%|██████████████████████▎ | ETA: 0:00:04 Bin 10 ray tracing: 83%|████████████████████████▏ | ETA: 0:00:03 Bin 10 ray tracing: 89%|██████████████████████████ | ETA: 0:00:02 Bin 10 ray tracing: 96%|████████████████████████████ | ETA: 0:00:01 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Iter 1: T = 967.2535594893013 K, F = -7461.307620269299, relative_change = 0.03274644051069862 Iter 2: T = 936.5793871793209 K, F = -6324.860284878787, relative_change = 0.031712648673193844 Iter 3: T = 907.946299839871 K, F = -5360.005040455272, relative_change = 0.03057198111703438 Iter 5: T = 856.6662771743104 K, F = -3845.7159803215573, relative_change = 0.027974698153715002 Iter 10: T = 761.2019512929802 K, F = -1665.4353065815678, relative_change = 0.0200724392417617 Iter 15: T = 705.217729195279 K, F = -713.148572479694, relative_change = 0.012053007853632567 Iter 20: T = 676.3852527184229 K, F = -302.2835782839499, relative_change = 0.00618194912302961 Iter 25: T = 662.9277175281878 K, F = -127.26228542909848, relative_change = 0.0028583482856778795 Iter 30: T = 657.0004066099619 K, F = -53.383410283557915, relative_change = 0.0012508890192777385 Iter 35: T = 654.4640651319736 K, F = -22.35480734956992, relative_change = 0.0005335174091725094 Iter 40: T = 653.3928625088992 K, F = -9.354244841814564, relative_change = 0.00022499228393368828 Iter 45: T = 652.9430082278137 K, F = -3.9129723537616674, relative_change = 9.442537227708696e-5 Iter 50: T = 652.7545452463918 K, F = -1.636612355598638, relative_change = 3.954799454015836e-5 Iter 55: T = 652.6756701333961 K, F = -0.6844789538631852, relative_change = 1.6549640719784595e-5 Iter 60: T = 652.6426735240606 K, F = -0.2862621938941735, relative_change = 6.923042492233591e-6 Iter 65: T = 652.6288721813606 K, F = -0.1197191290317019, relative_change = 2.895611382539402e-6 Iter 70: T = 652.6230999859679 K, F = -0.05006812007812583, relative_change = 1.211033897059339e-6 Iter 75: T = 652.6206859308617 K, F = -0.02093911208818261, relative_change = 5.064783949906631e-7 Iter 80: T = 652.6196763347314 K, F = -0.008756991346245357, relative_change = 2.1181698488465637e-7 Iter 85: T = 652.6192541079188 K, F = -0.003662279166827931, relative_change = 8.85846850488113e-8 Iter 90: T = 652.6190775273342 K, F = -0.0015316090257547765, relative_change = 3.7047224355000706e-8 Iter 95: T = 652.6190036791743 K, F = -0.0006405372107882723, relative_change = 1.549360061294436e-8 Iter 100: T = 652.618972794983 K, F = -0.0002678803158666643, relative_change = 6.479610382240607e-9 Iter 105: T = 652.6189598788437 K, F = -0.00011203074754734255, relative_change = 2.709850706984855e-9 Iter 110: T = 652.61895447716 K, F = -4.685259743314463e-5, relative_change = 1.1332919940380833e-9 Iter 115: T = 652.6189522181111 K, F = -1.9594316298221504e-5, relative_change = 4.739562665031636e-10 Iter 120: T = 652.6189512733499 K, F = -8.194577339415421e-6, relative_change = 1.9821417849022125e-10 Iter 125: T = 652.6189508782395 K, F = -3.4270705531191936e-6, relative_change = 8.289554764529573e-11 Iter 130: T = 652.6189507129995 K, F = -1.433241176351796e-6, relative_change = 3.4667892161296555e-11 Iter 135: T = 652.6189506438942 K, F = -5.993981176399821e-7, relative_change = 1.4498515432968926e-11 Iter 140: T = 652.6189506149937 K, F = -2.506755731324084e-7, relative_change = 6.0634552554230435e-12 Iter 145: T = 652.618950602907 K, F = -1.048362171518491e-7, relative_change = 2.5358263031409764e-12 Iter 150: T = 652.6189505978523 K, F = -4.3843891295303195e-8, relative_change = 1.0605160678560637e-12 Iter 155: T = 652.6189505957383 K, F = -1.833590440591948e-8, relative_change = 4.4351723049576605e-13 Converged in 159 iterations to T = 652.6189505949752 K Iter 1: T = 970.2810084176584 K, F = -6771.5005020957515, relative_change = 0.02971899158234158 Iter 2: T = 942.7250957960093 K, F = -5735.402164288178, relative_change = 0.028399929899264483 Iter 3: T = 917.2878818615816 K, F = -4856.089902520983, relative_change = 0.026982642180485586 Iter 5: T = 872.5554842276173 K, F = -3477.0998461923564, relative_change = 0.023897585278708666 Iter 10: T = 793.0815779969802 K, F = -1496.8031155265116, relative_change = 0.015591891812402989 Iter 15: T = 749.7202169352703 K, F = -637.2187041368433, relative_change = 0.008551866155228622 Iter 20: T = 728.6503719648093 K, F = -268.99137781681054, relative_change = 0.004118814733549702 Iter 25: T = 719.161472323604 K, F = -112.9890747040873, relative_change = 0.0018399577645446137 Iter 30: T = 715.0576060929275 K, F = -47.34470664108488, relative_change = 0.0007921457719427995 Iter 35: T = 713.3161442894033 K, F = -19.816491446793037, relative_change = 0.00033542034398516485 Iter 40: T = 712.5833242209253 K, F = -8.290386564646843, relative_change = 0.0001410134270042365 Iter 45: T = 712.2760507555408 K, F = -3.4676469266041763, relative_change = 5.910333270255264e-5 Iter 50: T = 712.1474048594981 K, F = -1.45030041638462, relative_change = 2.4740501065467733e-5 Iter 55: T = 712.0935789941213 K, F = -0.6065485429220024, relative_change = 1.0350762910808694e-5 Iter 60: T = 712.0710640656342 K, F = -0.2536685716662575, relative_change = 4.3295108964974e-6 Iter 65: T = 712.0616472997899 K, F = -0.10608770316655536, relative_change = 1.8107753125932779e-6 Iter 70: T = 712.0577089639837 K, F = -0.044367227855196756, relative_change = 7.573092272236007e-7 Iter 75: T = 712.0560618818505 K, F = -0.018554919135776005, relative_change = 3.167195000928017e-7 Iter 80: T = 712.0553730483979 K, F = -0.0077598913258978275, relative_change = 1.324565309823253e-7 Iter 85: T = 712.055084969316 K, F = -0.0032452796701093467, relative_change = 5.5395017420210824e-8 Iter 90: T = 712.0549644910802 K, F = -0.0013572147930717149, relative_change = 2.3166877838927317e-8 Iter 95: T = 712.0549141056216 K, F = -0.000567603447631071, relative_change = 9.68866846239694e-9 Iter 100: T = 712.0548930338173 K, F = -0.00023737854091931965, relative_change = 4.051917437601059e-9 Iter 105: T = 712.0548842213364 K, F = -9.927454012870207e-5, relative_change = 1.6945603524308827e-9 Iter 110: T = 712.0548805358516 K, F = -4.1517797787382626e-5, relative_change = 7.086853859334612e-10 Iter 115: T = 712.0548789945378 K, F = -1.7363239209533532e-5, relative_change = 2.9638070087663033e-10 Iter 120: T = 712.0548783499421 K, F = -7.261515393763851e-6, relative_change = 1.2394997299377766e-10 Iter 125: T = 712.0548780803643 K, F = -3.0368524572832456e-6, relative_change = 5.1837359054297796e-11 Iter 130: T = 712.0548779676238 K, F = -1.2700489313566266e-6, relative_change = 2.167901913146836e-11 Iter 135: T = 712.0548779204743 K, F = -5.311495253623733e-7, relative_change = 9.06642290807778e-12 Iter 140: T = 712.0548779007559 K, F = -2.2213246675395482e-7, relative_change = 3.791675958097512e-12 Iter 145: T = 712.0548778925092 K, F = -9.289824487446197e-8, relative_change = 1.585720659418663e-12 Iter 150: T = 712.0548778890604 K, F = -3.8849225503234663e-8, relative_change = 6.631343742560783e-13 Iter 155: T = 712.0548778876181 K, F = -1.624613132911179e-8, relative_change = 2.7731230143106706e-13 Converged in 157 iterations to T = 712.0548778873128 K Iter 1: T = 974.4286876491074 K, F = -5826.447843748607, relative_change = 0.025571312350892682 Iter 2: T = 951.0465101853613 K, F = -4929.363190138025, relative_change = 0.023995781076763693 Iter 3: T = 929.7786180981377 K, F = -4168.597859656628, relative_change = 0.022362620397059624 Iter 5: T = 893.2318003132402 K, F = -2977.131103121968, relative_change = 0.019007915639185642 Iter 10: T = 831.679403560725 K, F = -1273.019603772469, relative_change = 0.011164078371131515 Iter 15: T = 800.4399029556457 K, F = -539.0253049509962, relative_change = 0.0056335828298929875 Iter 20: T = 785.9956958108271 K, F = -226.79304129992207, relative_change = 0.0025808304912267066 Iter 25: T = 779.6651650459843 K, F = -95.10586844691136, relative_change = 0.0011243918259152706 Iter 30: T = 776.9625005183086 K, F = -39.82118144509009, relative_change = 0.00047860642238041506 Iter 35: T = 775.8222019320658 K, F = -16.661996753505843, relative_change = 0.00020166181825064712 Iter 40: T = 775.3435364154367 K, F = -6.96970743059329, relative_change = 8.460314579173988e-5 Iter 45: T = 775.1430395423341 K, F = -2.915071161671878, relative_change = 3.542874388402206e-5 Iter 50: T = 775.0591344162881 K, F = -1.2191624460736579, relative_change = 1.482490715829077e-5 Iter 55: T = 775.0240346703171 K, F = -0.5098761467183204, relative_change = 6.201385659292603e-6 Iter 60: T = 775.0093538539605 K, F = -0.2132376673010914, relative_change = 2.593744162759136e-6 Iter 65: T = 775.0032138667441 K, F = -0.08917877929967544, relative_change = 1.0847786244829085e-6 Iter 70: T = 775.0006459992525 K, F = -0.03729567253507027, relative_change = 4.5367504374980186e-7 Iter 75: T = 774.9995720773913 K, F = -0.015597503006168023, relative_change = 1.8973366248972172e-7 Iter 80: T = 774.9991229488679 K, F = -0.006523063316268285, relative_change = 7.93491181317426e-8 Iter 85: T = 774.9989351176802 K, F = -0.002728023205740393, relative_change = 3.318478986226961e-8 Iter 90: T = 774.998856564386 K, F = -0.0011408919225628367, relative_change = 1.3878282595718584e-8 Iter 95: T = 774.9988237124518 K, F = -0.00047713463330167905, relative_change = 5.804064769560195e-9 Iter 100: T = 774.9988099733791 K, F = -0.000199543401098623, relative_change = 2.42732939769376e-9 Iter 105: T = 774.9988042275347 K, F = -8.345143598931237e-5, relative_change = 1.0151382099925227e-9 Iter 110: T = 774.9988018245538 K, F = -3.4900387052561044e-5, relative_change = 4.245429277951117e-10 Iter 115: T = 774.9988008195985 K, F = -1.4595758375479662e-5, relative_change = 1.7754892010341166e-10 Iter 120: T = 774.9988003993142 K, F = -6.1041193011313055e-6, relative_change = 7.425306482993811e-11 Iter 125: T = 774.9988002235461 K, F = -2.5528145420894433e-6, relative_change = 3.105350576325278e-11 Iter 130: T = 774.9988001500379 K, F = -1.0676151728228334e-6, relative_change = 1.2986918317233697e-11 Iter 135: T = 774.998800119296 K, F = -4.464904169720896e-7, relative_change = 5.431296522704551e-12 Iter 140: T = 774.9988001064393 K, F = -1.8672649770845595e-7, relative_change = 2.2714193613795678e-12 Iter 145: T = 774.9988001010624 K, F = -7.809094804134276e-8, relative_change = 9.499310141423941e-13 Iter 150: T = 774.998800098814 K, F = -3.266026427084512e-8, relative_change = 3.9729314010845263e-13 Converged in 154 iterations to T = 774.9988000980023 K Iter 1: T = 970.3771811312826 K, F = -6749.587457812618, relative_change = 0.029622818868717416 Iter 2: T = 942.9193248351711 K, F = -5716.692330582532, relative_change = 0.02829606551969882 Iter 3: T = 917.5814716917004 K, F = -4840.111377095694, relative_change = 0.026871708401882587 Iter 5: T = 873.0487353739896 K, F = -3465.442410787836, relative_change = 0.023775574690811548 Iter 10: T = 794.037550480955 K, F = -1491.5262513770297, relative_change = 0.015469911115347058 Iter 15: T = 751.0137350814422 K, F = -634.8748313026714, relative_change = 0.008464840099528777 Iter 20: T = 730.1384812151689 K, F = -267.9751916395893, relative_change = 0.0040706969481297105 Iter 25: T = 720.7451412818303 K, F = -112.55633575992897, relative_change = 0.0018170238260612542 Iter 30: T = 716.6842820511304 K, F = -47.16223368772507, relative_change = 0.0007819859377409842 Iter 35: T = 714.9613900861488 K, F = -19.739905859413874, relative_change = 0.0003310653910218582 Iter 40: T = 714.2364424331591 K, F = -8.258308884329399, relative_change = 0.00013917308526030446 Iter 45: T = 713.9324802152902 K, F = -3.45422307831063, relative_change = 5.8330309800989325e-5 Iter 50: T = 713.8052224535876 K, F = -1.4446848972873578, relative_change = 2.4416621394923416e-5 Iter 55: T = 713.7519777069363 K, F = -0.6041998021104708, relative_change = 1.021520876843315e-5 Iter 60: T = 713.7297059115756 K, F = -0.2526862540693772, relative_change = 4.272802365925948e-6 Iter 65: T = 713.7203908448163 K, F = -0.1056768781441364, relative_change = 1.7870559488973392e-6 Iter 70: T = 713.7164950439147 K, F = -0.0441954145118052, relative_change = 7.473889499572398e-7 Iter 75: T = 713.7148657509347 K, F = -0.0184830644969034, relative_change = 3.125706244042359e-7 Iter 80: T = 713.7141843572142 K, F = -0.007729840814364564, relative_change = 1.307214046051706e-7 Iter 85: T = 713.713899389534 K, F = -0.003232712181165387, relative_change = 5.4669363896104337e-8 Iter 90: T = 713.7137802125264 K, F = -0.0013519589181074654, relative_change = 2.2863400353995582e-8 Iter 95: T = 713.7137303712575 K, F = -0.0005654053777419676, relative_change = 9.561750463401557e-9 Iter 100: T = 713.7137095270399 K, F = -0.00023645928289273144, relative_change = 3.998838817544566e-9 Iter 105: T = 713.7137008097385 K, F = -9.88900957109573e-5, relative_change = 1.6723622416431658e-9 Iter 110: T = 713.7136971640589 K, F = -4.135701924368185e-5, relative_change = 6.994018824116815e-10 Iter 115: T = 713.7136956393922 K, F = -1.7295999558131214e-5, relative_change = 2.924982262601789e-10 Iter 120: T = 713.7136950017583 K, F = -7.233393866767912e-6, relative_change = 1.2232625687572987e-10 Iter 125: T = 713.7136947350922 K, F = -3.0250906815076917e-6, relative_change = 5.1158284375591056e-11 Iter 130: T = 713.7136946235693 K, F = -1.2651300282939815e-6, relative_change = 2.1395022041275324e-11 Iter 135: T = 713.7136945769291 K, F = -5.290926313739064e-7, relative_change = 8.94765617800407e-12 Iter 140: T = 713.7136945574235 K, F = -2.2127260290716322e-7, relative_change = 3.742012372279248e-12 Iter 145: T = 713.713694549266 K, F = -9.253888855198511e-8, relative_change = 1.5649549982589934e-12 Iter 150: T = 713.7136945458545 K, F = -3.8700607163377754e-8, relative_change = 6.544784529516046e-13 Iter 155: T = 713.7136945444279 K, F = -1.6185311424443682e-8, relative_change = 2.7371502304839046e-13 Converged in 157 iterations to T = 713.7136945441259 K Iter 1: T = 969.3666765821714 K, F = -6979.831880565582, relative_change = 0.030633323417828602 Iter 2: T = 940.8754585435521 K, F = -5913.327558668657, relative_change = 0.02939157980865886 Iter 3: T = 914.4870378479935 K, F = -5008.090526701601, relative_change = 0.028046667022654754 Iter 5: T = 867.8314918021034 K, F = -3588.087878219315, relative_change = 0.025079816478699012 Iter 10: T = 783.8286561007372 K, F = -1547.2047636495588, relative_change = 0.016808105932987934 Iter 15: T = 737.0863532641879 K, F = -659.6933985349731, relative_change = 0.009442196156038344 Iter 20: T = 714.0322967250854 K, F = -278.7650613696528, relative_change = 0.00461953734162567 Iter 25: T = 703.5585632085811 K, F = -117.15849755691167, relative_change = 0.00208077232455807 Iter 30: T = 699.0091033569439 K, F = -49.104331370450375, relative_change = 0.0008992771958888328 Iter 35: T = 697.0747747156664 K, F = -20.55530452062012, relative_change = 0.0003814264218771629 Iter 40: T = 696.2601058189432 K, F = -8.599887430122372, relative_change = 0.00016047027099149946 Iter 45: T = 695.918390275908 K, F = -3.597175672303772, relative_change = 6.727876326738074e-5 Iter 50: T = 695.7753029388059 K, F = -1.504486995110003, relative_change = 2.8166305400537803e-5 Iter 55: T = 695.7154309360222 K, F = -0.6292128391482552, relative_change = 1.1784656880905682e-5 Iter 60: T = 695.6903862927546 K, F = -0.2631475448712178, relative_change = 4.929389345039457e-6 Iter 65: T = 695.6799113690929 K, F = -0.11005200936223858, relative_change = 2.061687838680573e-6 Iter 70: T = 695.675530463907 K, F = -0.04602516316063987, relative_change = 8.622501736400005e-7 Iter 75: T = 695.6736982878266 K, F = -0.01924829012444318, relative_change = 3.6060816461433453e-7 Iter 80: T = 695.6729320447996 K, F = -0.008049867815387746, relative_change = 1.5081148830909866e-7 Iter 85: T = 695.6726115919213 K, F = -0.0033665513821324877, relative_change = 6.307131365925969e-8 Iter 90: T = 695.6724775745444 K, F = -0.001407932085400465, relative_change = 2.6377202524819937e-8 Iter 95: T = 695.6724215268495 K, F = -0.0005888140288876631, relative_change = 1.1031265646990989e-8 Iter 100: T = 695.6723980870294 K, F = -0.0002462490626262692, relative_change = 4.613407846369509e-9 Iter 105: T = 695.6723882842157 K, F = -0.00010298429857458213, relative_change = 1.9293823818230946e-9 Iter 110: T = 695.6723841845619 K, F = -4.3069263718997775e-5, relative_change = 8.068907794604257e-10 Iter 115: T = 695.6723824700377 K, F = -1.8012081370866184e-5, relative_change = 3.374513816258164e-10 Iter 120: T = 695.6723817530032 K, F = -7.532867160375822e-6, relative_change = 1.4112619141607703e-10 Iter 125: T = 695.6723814531308 K, F = -3.1503357701412327e-6, relative_change = 5.902067305433858e-11 Iter 130: T = 695.6723813277205 K, F = -1.3175067302695354e-6, relative_change = 2.4683125772775612e-11 Iter 135: T = 695.6723812752724 K, F = -5.50996323789299e-7, relative_change = 1.0322764394932334e-11 Iter 140: T = 695.6723812533381 K, F = -2.3043395747102124e-7, relative_change = 4.3171167378458134e-12 Iter 145: T = 695.6723812441649 K, F = -9.637009779073225e-8, relative_change = 1.8054672444648163e-12 Iter 150: T = 695.6723812403286 K, F = -4.030335487570369e-8, relative_change = 7.550722551931732e-13 Iter 155: T = 695.6723812387241 K, F = -1.6857120921365265e-8, relative_change = 3.1581351849128953e-13 Converged in 158 iterations to T = 695.6723812382544 K Iter 1: T = 963.5327042704821 K, F = -8309.108021324346, relative_change = 0.03646729572951796 Iter 2: T = 928.9411871156773 K, F = -7050.611631629718, relative_change = 0.03590071930251195 Iter 3: T = 896.1917828788493 K, F = -5981.813756690788, relative_change = 0.0352545507628029 Iter 5: T = 836.1000918496159 K, F = -4303.360450479954, relative_change = 0.033694104035149525 Iter 10: T = 716.1678630907954 K, F = -1880.7361811663918, relative_change = 0.028003354994746838 Iter 15: T = 636.2540971511472 K, F = -814.5100693207651, relative_change = 0.020106430663344856 Iter 20: T = 589.3646148508859 K, F = -348.7931052335414, relative_change = 0.012081818176879625 Iter 25: T = 565.2048562267893 K, F = -147.84856575582378, relative_change = 0.006199962342134063 Iter 30: T = 553.9248876120498 K, F = -62.245914250611435, relative_change = 0.0028675395303372486 Iter 35: T = 548.9558771596149 K, F = -26.11088910825549, relative_change = 0.0012550957060976497 Iter 40: T = 546.8294397707139 K, F = -10.934229196249118, relative_change = 0.0005353468610563216 Iter 45: T = 545.9313270131681 K, F = -4.575376030587015, relative_change = 0.00022577019880238775 Iter 50: T = 545.5541569347542 K, F = -1.9139261919168602, relative_change = 9.475298876176081e-5 Iter 55: T = 545.3961434972766 K, F = -0.8005056059390041, relative_change = 3.9685410102601045e-5 Iter 60: T = 545.3300118949907 K, F = -0.3347948064542398, relative_change = 1.6607180164368124e-5 Iter 65: T = 545.3023463760401 K, F = -0.14001760157224485, relative_change = 6.9471185425945575e-6 Iter 70: T = 545.2907748393508 K, F = -0.05855745564770423, relative_change = 2.9056824386473754e-6 Iter 75: T = 545.2859352245049 K, F = -0.024489501175740364, relative_change = 1.2152461116741253e-6 Iter 80: T = 545.2839111942991 K, F = -0.010241814781827757, relative_change = 5.082400596768062e-7 Iter 85: T = 545.2830647127404 K, F = -0.004283251514380582, relative_change = 2.125537456445855e-7 Iter 90: T = 545.2827107026521 K, F = -0.0017913073309139826, relative_change = 8.889280920107394e-8 Iter 95: T = 545.2825626511622 K, F = -0.000749146187672356, relative_change = 3.717608589919002e-8 Iter 100: T = 545.2825007342184 K, F = -0.00031330189430939237, relative_change = 1.5547492096197107e-8 Iter 105: T = 545.2824748398056 K, F = -0.00013102659562319596, relative_change = 6.502148430659951e-9 Iter 110: T = 545.2824640104517 K, F = -5.4796887794750226e-5, relative_change = 2.7192764184501745e-9 Iter 115: T = 545.2824594814863 K, F = -2.2916712875464818e-5, relative_change = 1.1372339175213364e-9 Iter 120: T = 545.2824575874189 K, F = -9.58404331144469e-6, relative_change = 4.756048286785531e-10 Iter 125: T = 545.2824567952973 K, F = -4.008161542334854e-6, relative_change = 1.9890362917764908e-10 Iter 130: T = 545.2824564640225 K, F = -1.6762607760734127e-6, relative_change = 8.318386104250567e-11 Iter 135: T = 545.2824563254794 K, F = -7.010321479150594e-7, relative_change = 3.4788477831971904e-11 Iter 140: T = 545.282456267539 K, F = -2.9317974975517913e-7, relative_change = 1.4548943669180341e-11 Iter 145: T = 545.2824562433077 K, F = -1.2261143672587238e-7, relative_change = 6.0845501368665865e-12 Iter 150: T = 545.2824562331739 K, F = -5.127774854729594e-8, relative_change = 2.5446405351796153e-12 Iter 155: T = 545.2824562289359 K, F = -2.144509828050367e-8, relative_change = 1.0642055845561735e-12 Iter 160: T = 545.2824562271634 K, F = -8.968774584117156e-9, relative_change = 4.4507233654731844e-13 Converged in 164 iterations to T = 545.2824562265237 K Iter 1: T = 966.9588200585408 K, F = -7528.46427993767, relative_change = 0.03304117994145917 Iter 2: T = 935.9777808806223 K, F = -6382.297581055557, relative_change = 0.03203966760036675 Iter 3: T = 907.0263615159427 K, F = -5409.1601059245295, relative_change = 0.030931737863948483 Iter 5: T = 855.08046241218 K, F = -3881.777768185126, relative_change = 0.028397584012593263 Iter 10: T = 757.8943471828306 K, F = -1682.1370292663978, relative_change = 0.020586659245662466 Iter 15: T = 700.4279822455012 K, F = -720.799414143165, relative_change = 0.01249646146916882 Iter 20: T = 670.6159436077551 K, F = -305.68969780334004, relative_change = 0.006462197875774656 Iter 25: T = 656.6342346271821 K, F = -128.73656740603985, relative_change = 0.003002164419554351 Iter 30: T = 650.4603001045721 K, F = -54.010172537766174, relative_change = 0.00131688985436754 Iter 35: T = 647.8152599820962 K, F = -22.61884269022002, relative_change = 0.0005622550627458551 Iter 40: T = 646.6975604637967 K, F = -9.46501317527215, relative_change = 0.00023721832564711673 Iter 45: T = 646.2280739391089 K, F = -3.9593582374186216, relative_change = 9.957545284065043e-5 Iter 50: T = 646.0313674772078 K, F = -1.6560222569859577, relative_change = 4.1708343396019554e-5 Iter 55: T = 645.9490390342847 K, F = -0.6925982946317155, relative_change = 1.7454269214593807e-5 Iter 60: T = 645.9145971831903 K, F = -0.2896581297370622, relative_change = 7.301569439164352e-6 Iter 65: T = 645.9001912449318 K, F = -0.1211394077977454, relative_change = 3.053950961663754e-6 Iter 70: T = 645.8941661692783 K, F = -0.05066210773801677, relative_change = 1.2772595386858134e-6 Iter 75: T = 645.8916463511731 K, F = -0.02118752659191303, relative_change = 5.341758230065849e-7 Iter 80: T = 645.8905925227393 K, F = -0.00886088156583148, relative_change = 2.2340056781507598e-7 Iter 85: T = 645.8901517972826 K, F = -0.003705727351627386, relative_change = 9.342911061910476e-8 Iter 90: T = 645.8899674803148 K, F = -0.0015497795836980632, relative_change = 3.9073226696451626e-8 Iter 95: T = 645.889890396702 K, F = -0.0006481363562764186, relative_change = 1.634089998023698e-8 Iter 100: T = 645.8898581594048 K, F = -0.0002710583690497259, relative_change = 6.833961259997404e-9 Iter 105: T = 645.8898446773804 K, F = -0.00011335984859517367, relative_change = 2.8580445364719487e-9 Iter 110: T = 645.8898390390366 K, F = -4.7408443274554735e-5, relative_change = 1.1952684269963848e-9 Iter 115: T = 645.8898366810138 K, F = -1.9826777036102694e-5, relative_change = 4.998755364107188e-10 Iter 120: T = 645.8898356948604 K, F = -8.29179536232516e-6, relative_change = 2.0905393131382937e-10 Iter 125: T = 645.8898352824393 K, F = -3.467727853756486e-6, relative_change = 8.742885118125313e-11 Iter 130: T = 645.8898351099598 K, F = -1.4502445248032458e-6, relative_change = 3.65637726614857e-11 Iter 135: T = 645.889835037827 K, F = -6.06510287159967e-7, relative_change = 1.5291424231627048e-11 Iter 140: T = 645.8898350076602 K, F = -2.5365045913661177e-7, relative_change = 6.395071708065527e-12 Iter 145: T = 645.889834995044 K, F = -1.0608071071560587e-7, relative_change = 2.6745220735696438e-12 Iter 150: T = 645.8898349897677 K, F = -4.436410250274747e-8, relative_change = 1.1185141070596517e-12 Iter 155: T = 645.889834987561 K, F = -1.855334269551534e-8, relative_change = 4.677695336471286e-13 Converged in 160 iterations to T = 645.8898349866383 K Iter 1: T = 965.1902913262601 K, F = -7931.425233892957, relative_change = 0.03480970867373987 Iter 2: T = 932.3555779630042 K, F = -6727.125673339965, relative_change = 0.03401890141076528 Iter 3: T = 901.466408971199 K, F = -5704.466794328173, relative_change = 0.03313024528612931 Iter 5: T = 845.4116399460971 K, F = -4098.83611386637, relative_change = 0.03104075120907042 Iter 10: T = 737.1617496347125 K, F = -1783.5655527580657, relative_change = 0.024046072251432633 Iter 15: T = 669.4972581260048 K, F = -767.940847374318, relative_change = 0.0157409153591395 Iter 20: T = 632.4904725946587 K, F = -326.9886833306423, relative_change = 0.008658631743429056 Iter 25: T = 614.4762448048587 K, F = -138.04974468635797, relative_change = 0.004178019631190401 Iter 30: T = 606.3550702122114 K, F = -57.99113255469347, relative_change = 0.0018682205036486996 Iter 35: T = 602.8409509843802 K, F = -24.300182699716274, relative_change = 0.0008046755386381181 Iter 40: T = 601.3494059899873 K, F = -10.171161639064982, relative_change = 0.00034079289901340476 Iter 45: T = 600.7216909354734 K, F = -4.25520999825353, relative_change = 0.00014328410806725169 Iter 50: T = 600.4584772992838 K, F = -1.779844702931099, relative_change = 6.005717252320103e-5 Iter 55: T = 600.3482759554031 K, F = -0.7443987577087338, relative_change = 2.51401488889193e-5 Iter 60: T = 600.3021670117236 K, F = -0.31132458047634154, relative_change = 1.0518030203614957e-5 Iter 65: T = 600.2828799503409 K, F = -0.1302010799493334, relative_change = 4.399486797556586e-6 Iter 70: T = 600.2748132147442 K, F = -0.054451895367552294, relative_change = 1.840044045580991e-6 Iter 75: T = 600.2714394947959 K, F = -0.022772476451377255, relative_change = 7.695504563230504e-7 Iter 80: T = 600.2700285447457 K, F = -0.009523729222880528, relative_change = 3.218390499529399e-7 Iter 85: T = 600.269438465073 K, F = -0.00398293862854926, relative_change = 1.3459760914316467e-7 Iter 90: T = 600.2691916860925 K, F = -0.0016657127324373744, relative_change = 5.629044558324123e-8 Iter 95: T = 600.2690884800685 K, F = -0.0006966209976577153, relative_change = 2.3541357219389094e-8 Iter 100: T = 600.2690453180579 K, F = -0.00029133522776858545, relative_change = 9.845280343857511e-9 Iter 105: T = 600.2690272671864 K, F = -0.00012183987326352952, relative_change = 4.117414465335125e-9 Iter 110: T = 600.2690197180957 K, F = -5.0954890600141134e-5, relative_change = 1.7219520225912648e-9 Iter 115: T = 600.2690165609757 K, F = -2.130994351928761e-5, relative_change = 7.20140909557456e-10 Iter 120: T = 600.2690152406306 K, F = -8.912073358069428e-6, relative_change = 3.011715481800095e-10 Iter 125: T = 600.2690146884463 K, F = -3.7271361293944594e-6, relative_change = 1.2595355964693652e-10 Iter 130: T = 600.2690144575163 K, F = -1.5587329926791682e-6, relative_change = 5.267528807930936e-11 Iter 135: T = 600.2690143609386 K, F = -6.518812117883854e-7, relative_change = 2.2029450080301763e-11 Iter 140: T = 600.2690143205486 K, F = -2.7262431817609567e-7, relative_change = 9.212972703085253e-12 Iter 145: T = 600.269014303657 K, F = -1.1401383204212578e-7, relative_change = 3.852944335803866e-12 Iter 150: T = 600.2690142965928 K, F = -4.7681875670058105e-8, relative_change = 1.6113449526533649e-12 Iter 155: T = 600.2690142936384 K, F = -1.9940680606733707e-8, relative_change = 6.738685212642129e-13 Iter 160: T = 600.2690142924029 K, F = -8.338834289745023e-9, relative_change = 2.8179970597670077e-13 Converged in 162 iterations to T = 600.2690142921414 K Iter 1: T = 980.0744368618758 K, F = -4540.0585151253545, relative_change = 0.0199255631381242 Iter 2: T = 962.1955056458363 K, F = -3835.0703588671486, relative_change = 0.01824242174225717 Iter 3: T = 946.2427863495875 K, F = -3238.0441144335596, relative_change = 0.01657949886758319 Iter 5: T = 919.5942622940208 K, F = -2305.178504452567, relative_change = 0.013403366674124943 Iter 10: T = 877.2576430491827 K, F = -978.7005743600105, relative_change = 0.007049790363023043 Iter 15: T = 857.2016933641487 K, F = -412.43717442009086, relative_change = 0.0033081772687961644 Iter 20: T = 848.2973552017146 K, F = -173.0910433525534, relative_change = 0.001458356469199935 Iter 25: T = 844.472752532741 K, F = -72.49937621232479, relative_change = 0.000624055085418922 Iter 30: T = 842.8547788425614 K, F = -30.339833650354144, relative_change = 0.0002635478314891025 Iter 35: T = 842.174823580718 K, F = -12.691959842499521, relative_change = 0.00011067316950184227 Iter 40: T = 841.8898760581216 K, F = -5.308539784761896, relative_change = 4.636478379559769e-5 Iter 45: T = 841.7706054154824 K, F = -2.2202016856671434, relative_change = 1.9404323827260487e-5 Iter 50: T = 841.7207071084848 K, F = -0.9285335767162681, relative_change = 8.117574245789958e-6 Iter 55: T = 841.6998359078717 K, F = -0.3883271052024875, relative_change = 3.395295941326848e-6 Iter 60: T = 841.691106774459 K, F = -0.16240360572879942, relative_change = 1.4200284356535065e-6 Iter 65: T = 841.687456050751 K, F = -0.06791922758963631, relative_change = 5.938859908272008e-7 Iter 70: T = 841.6859292577298 K, F = -0.028404649618113176, relative_change = 2.4837251213928843e-7 Iter 75: T = 841.6852907317219 K, F = -0.01187916675569567, relative_change = 1.038727527405195e-7 Iter 80: T = 841.6850236920069 K, F = -0.004968009939032791, relative_change = 4.34408959953477e-8 Iter 85: T = 841.6849120127193 K, F = -0.002077681180112867, relative_change = 1.8167513790090044e-8 Iter 90: T = 841.6848653070917 K, F = -0.0008689110997239791, relative_change = 7.597873392928473e-9 Iter 95: T = 841.6848457742378 K, F = -0.00036338900227894655, relative_change = 3.177521771386589e-9 Iter 100: T = 841.6848376053646 K, F = -0.00015197362004903958, relative_change = 1.3288776095829086e-9 Iter 105: T = 841.6848341890441 K, F = -6.355718197714744e-5, relative_change = 5.557524895610515e-10 Iter 110: T = 841.684832760298 K, F = -2.658037291802806e-5, relative_change = 2.3242233344074756e-10 Iter 115: T = 841.6848321627795 K, F = -1.1116229752472506e-5, relative_change = 9.720179904299816e-11 Iter 120: T = 841.68483191289 K, F = -4.64894004181815e-6, relative_change = 4.0650953282611585e-11 Iter 125: T = 841.6848318083833 K, F = -1.9442406107295085e-6, relative_change = 1.700069985259173e-11 Iter 130: T = 841.6848317646773 K, F = -8.131031354885465e-7, relative_change = 7.10988253345503e-12 Iter 135: T = 841.6848317463989 K, F = -3.4004996418701694e-7, relative_change = 2.973442353868925e-12 Iter 140: T = 841.6848317387547 K, F = -1.4221186517282547e-7, relative_change = 1.2435195638288694e-12 Iter 145: T = 841.6848317355577 K, F = -5.9473123537046035e-8, relative_change = 5.200409442052468e-13 Converged in 150 iterations to T = 841.6848317342208 K Iter 1: T = 976.4019635759488 K, F = -5376.835046747777, relative_change = 0.023598036424051175 Iter 2: T = 954.9662872159379 K, F = -4546.512873073084, relative_change = 0.02195374155281859 Iter 3: T = 935.6016256352101 K, F = -3842.6739045741956, relative_change = 0.02027784838057747 Iter 5: T = 902.6654916367702 K, F = -2741.1916214291123, relative_change = 0.01692437499432864 Iter 10: T = 848.4027903272568 K, F = -1168.9575928746187, relative_change = 0.009529607160994347 Iter 15: T = 821.600301052676 K, F = -494.01397959793866, relative_change = 0.004669565416315457 Iter 20: T = 809.4129521761998 K, F = -207.63404971853603, relative_change = 0.0021050562181791966 Iter 25: T = 804.1168348135426 K, F = -87.02736554585557, relative_change = 0.0009101271472246273 Iter 30: T = 801.8645966554533 K, F = -36.43048149620997, relative_change = 0.0003860946187029786 Iter 35: T = 800.9159541280187 K, F = -15.241786880153679, relative_change = 0.00016244613806160946 Iter 40: T = 800.5180283520156 K, F = -6.375373925000602, relative_change = 6.810927198878193e-5 Iter 45: T = 800.3514014092823 K, F = -2.666446218292214, relative_change = 2.851436878522746e-5 Iter 50: T = 800.281679284415 K, F = -1.1151726865949987, relative_change = 1.193034994751548e-5 Iter 55: T = 800.2525142258934 K, F = -0.4663843152809347, relative_change = 4.990342475059941e-6 Iter 60: T = 800.2403159244903 K, F = -0.19504850146956054, relative_change = 2.087183111143601e-6 Iter 65: T = 800.2352142522602 K, F = -0.08157178950946042, relative_change = 8.729132912470432e-7 Iter 70: T = 800.2330806375659 K, F = -0.03411432746788745, relative_change = 3.6506772844974934e-7 Iter 75: T = 800.2321883283962 K, F = -0.014267024563464514, relative_change = 1.5267655228207113e-7 Iter 80: T = 800.2318151529915 K, F = -0.005966641001365236, relative_change = 6.38513093877941e-8 Iter 85: T = 800.2316590863963 K, F = -0.0024953206876839884, relative_change = 2.6703406684530548e-8 Iter 90: T = 800.2315938174503 K, F = -0.0010435729405564587, relative_change = 1.1167688223823059e-8 Iter 95: T = 800.2315665211918 K, F = -0.00043643467045040296, relative_change = 4.670461384934014e-9 Iter 100: T = 800.2315551055696 K, F = -0.00018252219029646355, relative_change = 1.9532428500553647e-9 Iter 105: T = 800.2315503314198 K, F = -7.633295853015643e-5, relative_change = 8.168694966107537e-10 Iter 110: T = 800.2315483348134 K, F = -3.192335435353577e-5, relative_change = 3.416245775457749e-10 Iter 115: T = 800.2315474998087 K, F = -1.3350726690841697e-5, relative_change = 1.4287146450329557e-10 Iter 120: T = 800.2315471505999 K, F = -5.583434068534565e-6, relative_change = 5.975056058437491e-11 Iter 125: T = 800.2315470045567 K, F = -2.3350604830829624e-6, relative_change = 2.4988415958940847e-11 Iter 130: T = 800.2315469434795 K, F = -9.765513937498582e-7, relative_change = 1.0450466965615525e-11 Iter 135: T = 800.2315469179364 K, F = -4.084069750165398e-7, relative_change = 4.370526353146768e-12 Iter 140: T = 800.2315469072539 K, F = -1.7080099157240625e-7, relative_change = 1.82780971071323e-12 Iter 145: T = 800.2315469027862 K, F = -7.142961044870333e-8, relative_change = 7.643968247030142e-13 Iter 150: T = 800.2315469009179 K, F = -2.987214264837945e-8, relative_change = 3.196737437641324e-13 Converged in 153 iterations to T = 800.2315469003709 K Iter 1: T = 980.9007909261479 K, F = -4351.772955515314, relative_change = 0.019099209073852114 Iter 2: T = 963.8105143183908 K, F = -3675.181447442618, relative_change = 0.01742304294771834 Iter 3: T = 948.603052879446 K, F = -3102.3404199953848, relative_change = 0.015778476384125814 Iter 5: T = 923.2975114253013 K, F = -2207.602503304561, relative_change = 0.012668984541231507 Iter 10: T = 883.3930277411484 K, F = -936.4364165582606, relative_change = 0.006572544096872268 Iter 15: T = 864.6424992819603 K, F = -394.41491054447323, relative_change = 0.0030591852082778024 Iter 20: T = 856.3543692986354 K, F = -165.48311656018384, relative_change = 0.0013431471762856758 Iter 25: T = 852.8018659875389 K, F = -69.30436314363702, relative_change = 0.0005737053139024739 Iter 30: T = 851.3003884511476 K, F = -29.001244736030273, relative_change = 0.00024209288585306442 Iter 35: T = 850.6696401801856 K, F = -12.131721356975044, relative_change = 0.0001016293784850506 Iter 40: T = 850.4053578669992 K, F = -5.0741666846674525, relative_change = 4.257002241811692e-5 Iter 45: T = 850.2947448297994 K, F = -2.122170965376642, relative_change = 1.7815108030105767e-5 Iter 50: T = 850.2484698956939 K, F = -0.8875336669542611, relative_change = 7.45255962705467e-6 Iter 55: T = 850.2291144983809 K, F = -0.37118005229949314, relative_change = 3.117111402048058e-6 Iter 60: T = 850.2210193734567 K, F = -0.1552324332786763, relative_change = 1.3036765329607866e-6 Iter 65: T = 850.2176338139177 K, F = -0.06492014535996105, relative_change = 5.452241704543255e-7 Iter 70: T = 850.2162179182108 K, F = -0.027150395469193178, relative_change = 2.2802119652318882e-7 Iter 75: T = 850.21562577122 K, F = -0.011354622319690977, relative_change = 9.536152635529368e-8 Iter 80: T = 850.2153781278398 K, F = -0.004748639123664411, relative_change = 3.988138840760817e-8 Iter 85: T = 850.2152745603445 K, F = -0.001985937672119631, relative_change = 1.66788832608501e-8 Iter 90: T = 850.2152312471677 K, F = -0.0008305428653130331, relative_change = 6.975309974839255e-9 Iter 95: T = 850.2152131330777 K, F = -0.00034734294822547085, relative_change = 2.917158256856661e-9 Iter 100: T = 850.2152055575483 K, F = -0.0001452629676439443, relative_change = 1.2199904607831674e-9 Iter 105: T = 850.2152023893715 K, F = -6.075070486910583e-5, relative_change = 5.102145642707382e-10 Iter 110: T = 850.2152010644021 K, F = -2.5406671801508907e-5, relative_change = 2.1337783828007764e-10 Iter 115: T = 850.215200510284 K, F = -1.0625373562334062e-5, relative_change = 8.923716047490933e-11 Iter 120: T = 850.2152002785452 K, F = -4.443653940144898e-6, relative_change = 3.732001119207532e-11 Iter 125: T = 850.2152001816295 K, F = -1.8583922194448377e-6, relative_change = 1.5607700194657236e-11 Iter 130: T = 850.2152001410981 K, F = -7.772025907293312e-7, relative_change = 6.527333090638626e-12 Iter 135: T = 850.2152001241473 K, F = -3.250344018379536e-7, relative_change = 2.7298002248336245e-12 Iter 140: T = 850.2152001170582 K, F = -1.3593220837826436e-7, relative_change = 1.1416261506769509e-12 Iter 145: T = 850.2152001140935 K, F = -5.684742365730244e-8, relative_change = 4.774328779112428e-13 Converged in 150 iterations to T = 850.2152001128537 K Iter 1: T = 967.2774654218745 K, F = -7455.860630792095, relative_change = 0.032722534578125476 Iter 2: T = 936.6281569586338 K, F = -6320.20200995527, relative_change = 0.03168615992710338 Iter 3: T = 908.0208321122489 K, F = -5356.018887809382, relative_change = 0.030542883676780607 Iter 5: T = 856.7945877304294 K, F = -3842.7924458799193, relative_change = 0.0279406110463849 Iter 10: T = 761.4684965000286 K, F = -1664.083040164857, relative_change = 0.02003143041903704 Iter 15: T = 705.6021363086179 K, F = -712.5303271890824, relative_change = 0.012018042619309156 Iter 20: T = 676.8468910802876 K, F = -302.0088490583873, relative_change = 0.006160043728744406 Iter 25: T = 663.4304462192765 K, F = -127.14351803652988, relative_change = 0.0028471640094885975 Iter 30: T = 657.5224084445898 K, F = -53.3329505591292, relative_change = 0.0012457690898912376 Iter 35: T = 654.9945491159103 K, F = -22.333556443228236, relative_change = 0.0005312906289496065 Iter 40: T = 653.926972467789 K, F = -9.345330777344829, relative_change = 0.0002240453905659854 Iter 45: T = 653.4786487471875 K, F = -3.9092396591428136, relative_change = 9.402658632135823e-5 Iter 50: T = 653.2908283652453 K, F = -1.6350504670399655, relative_change = 3.938072682176117e-5 Iter 55: T = 653.2122224345444 K, F = -0.6838256077311222, relative_change = 1.6479601265664352e-5 Iter 60: T = 653.1793384774877 K, F = -0.2859889312349866, relative_change = 6.8937360772539736e-6 Iter 65: T = 653.1655842607997 K, F = -0.1196048428607503, relative_change = 2.883352450981812e-6 Iter 70: T = 653.1598317764274 K, F = -0.05002032345688273, relative_change = 1.205906603864324e-6 Iter 75: T = 653.1574259651178 K, F = -0.02091912283384889, relative_change = 5.043340189955675e-7 Iter 80: T = 653.1564198167138 K, F = -0.008748631575848875, relative_change = 2.1092016707134946e-7 Iter 85: T = 653.1559990317942 K, F = -0.0036587830059253146, relative_change = 8.82096226368407e-8 Iter 90: T = 653.1558230542287 K, F = -0.00153014688823927, relative_change = 3.689036832995022e-8 Iter 95: T = 653.1557494582589 K, F = -0.0006399257255564339, relative_change = 1.542800143262771e-8 Iter 100: T = 653.1557186795368 K, F = -0.00026762458583640125, relative_change = 6.452176018460634e-9 Iter 105: T = 653.155705807506 K, F = -0.00011192379864549684, relative_change = 2.6983773371064433e-9 Iter 110: T = 653.1557004242687 K, F = -4.680786931426928e-5, relative_change = 1.1284936737371471e-9 Iter 115: T = 653.1556981729346 K, F = -1.9575610371691532e-5, relative_change = 4.719495492991521e-10 Iter 120: T = 653.1556972313998 K, F = -8.186754076100478e-6, relative_change = 1.9737494001940477e-10 Iter 125: T = 653.1556968376386 K, F = -3.4237984209983807e-6, relative_change = 8.254455961923757e-11 Iter 130: T = 653.155696672963 K, F = -1.4318726029860507e-6, relative_change = 3.452110172763767e-11 Iter 135: T = 653.1556966040937 K, F = -5.988263021561302e-7, relative_change = 1.4437138933438907e-11 Iter 140: T = 653.1556965752918 K, F = -2.504360527844085e-7, relative_change = 6.037777692348158e-12 Iter 145: T = 653.1556965632466 K, F = -1.0473658618170845e-7, relative_change = 2.525100586138582e-12 Iter 150: T = 653.155696558209 K, F = -4.380187723640461e-8, relative_change = 1.0560220637303257e-12 Iter 155: T = 653.1556965561023 K, F = -1.8318301153730232e-8, relative_change = 4.416370121373533e-13 Converged in 159 iterations to T = 653.1556965553419 K Iter 1: T = 973.4908581320212 K, F = -6040.133191322858, relative_change = 0.026509141867978803 Iter 2: T = 949.1747809565633 K, F = -5111.46048806626, relative_change = 0.02497822858050952 Iter 3: T = 926.984535927247 K, F = -4323.757529518238, relative_change = 0.023378460400047076 Iter 5: T = 888.6601248245951 K, F = -3089.690192332097, relative_change = 0.020050165103760394 Iter 10: T = 823.388418647175 K, F = -1322.9842068390415, relative_change = 0.0120341648098291 Iter 15: T = 789.7829045516092 K, F = -560.7633948408247, relative_change = 0.006170188484340203 Iter 20: T = 774.1006439538048 K, F = -236.08003712549748, relative_change = 0.002852353432953092 Iter 25: T = 767.1941821753533 K, F = -99.02916841128199, relative_change = 0.0012481465888197739 Iter 30: T = 764.2389985234549 K, F = -41.46928261754092, relative_change = 0.0005323250041681292 Iter 35: T = 762.990928120982 K, F = -17.3525695889864, relative_change = 0.00022448529890868208 Iter 40: T = 762.4668025556426 K, F = -7.258746284847156, relative_change = 9.421186533174945e-5 Iter 45: T = 762.2472250396904 K, F = -3.035991619950048, relative_change = 3.945844257428288e-5 Iter 50: T = 762.1553280888907 K, F = -1.2697400038618707, relative_change = 1.6512143254428353e-5 Iter 55: T = 762.1168839509068 K, F = -0.5310295419187762, relative_change = 6.907352589428426e-6 Iter 60: T = 762.1008040995775 K, F = -0.22208448964165917, relative_change = 2.8890482751941655e-6 Iter 65: T = 762.0940789544412 K, F = -0.0928786645092019, relative_change = 1.2082888818086496e-6 Iter 70: T = 762.0912663555865 K, F = -0.03884301544062185, relative_change = 5.053303538953866e-7 Iter 75: T = 762.0900900821645 K, F = -0.016244621462951803, relative_change = 2.1133685285866501e-7 Iter 80: T = 762.0895981486493 K, F = -0.006793696188127862, relative_change = 8.838388678958972e-8 Iter 85: T = 762.0893924158421 K, F = -0.0028412051407913363, relative_change = 3.696324788801594e-8 Iter 90: T = 762.0893063758664 K, F = -0.0011882259672878481, relative_change = 1.5458480612479812e-8 Iter 95: T = 762.0892703929106 K, F = -0.0004969302964198397, relative_change = 6.464922743109185e-9 Iter 100: T = 762.0892553444071 K, F = -0.00020782218577963807, relative_change = 2.7037081686617647e-9 Iter 105: T = 762.089249050943 K, F = -8.691372094271621e-5, relative_change = 1.1307231017687964e-9 Iter 110: T = 762.089246418941 K, F = -3.6348356829418726e-5, relative_change = 4.728819225364803e-10 Iter 115: T = 762.0892453182063 K, F = -1.5201315824220352e-5, relative_change = 1.9776485454929212e-10 Iter 120: T = 762.0892448578659 K, F = -6.357371383658439e-6, relative_change = 8.270761854824036e-11 Iter 125: T = 762.0892446653461 K, F = -2.6587294986724075e-6, relative_change = 3.4589325083144193e-11 Iter 130: T = 762.0892445848319 K, F = -1.1119114898816562e-6, relative_change = 1.4465656632519592e-11 Iter 135: T = 762.0892445511599 K, F = -4.6501424622036325e-7, relative_change = 6.0497049249709e-12 Iter 140: T = 762.089244537078 K, F = -1.9447475152478688e-7, relative_change = 2.5300619749786546e-12 Iter 145: T = 762.0892445311888 K, F = -8.133321716119468e-8, relative_change = 1.0581223446045322e-12 Iter 150: T = 762.0892445287259 K, F = -3.40157548794906e-8, relative_change = 4.4253543095189665e-13 Converged in 154 iterations to T = 762.0892445278369 K Iter 1: T = 969.9283527040425 K, F = -6851.853441905337, relative_change = 0.030071647295957547 Iter 2: T = 942.0123527642075 K, F = -5804.017397756805, relative_change = 0.028781507275262613 Iter 3: T = 916.2096718514381 K, F = -4914.696928597515, relative_change = 0.02739102182371066 Iter 5: T = 870.7408962722741 K, F = -3519.8735627834253, relative_change = 0.02434876192314941 Iter 10: T = 789.5483994157026 K, F = -1516.192318947167, relative_change = 0.016048621315778 Iter 15: T = 744.9207567025065 K, F = -645.845443030659, relative_change = 0.008881342042142602 Iter 20: T = 723.1153149914612 K, F = -272.73636356345577, relative_change = 0.0043023063904914765 Iter 25: T = 713.2635460223138 K, F = -114.58504998591627, relative_change = 0.0019277461045392348 Iter 30: T = 708.9960025092088 K, F = -48.017923705322666, relative_change = 0.0008311050288542556 Iter 35: T = 707.1837952916933 K, F = -20.09909225930471, relative_change = 0.0003521329051148177 Iter 40: T = 706.4209705386306 K, F = -8.40876137305247, relative_change = 0.00014807824752802323 Iter 45: T = 706.101074330664 K, F = -3.517185791480424, relative_change = 6.207127444579517e-5 Iter 50: T = 705.9671363391058 K, F = -1.4710239711598803, relative_change = 2.598407620221535e-5 Iter 55: T = 705.9110949554242 K, F = -0.6152163986051586, relative_change = 1.0871252136735332e-5 Iter 60: T = 705.8876530677942 K, F = -0.257293750511041, relative_change = 4.547257697885204e-6 Iter 65: T = 705.8778485660549 K, F = -0.10760382740748198, relative_change = 1.9018522212912802e-6 Iter 70: T = 705.8737480621315 K, F = -0.04500129456718638, relative_change = 7.954008814769751e-7 Iter 75: T = 705.8720331571974 K, F = -0.018820094359905948, relative_change = 3.3265027020104717e-7 Iter 80: T = 705.8713159590621 K, F = -0.007870790937617556, relative_change = 1.3911903669205714e-7 Iter 85: T = 705.8710160174653 K, F = -0.003291659242589895, relative_change = 5.818136868678019e-8 Iter 90: T = 705.8708905781724 K, F = -0.0013766112876714143, relative_change = 2.4332165248534004e-8 Iter 95: T = 705.8708381179385 K, F = -0.0005757152944390054, relative_change = 1.0176005937674796e-8 Iter 100: T = 705.8708161784381 K, F = -0.00024077101393882305, relative_change = 4.255727880947282e-9 Iter 105: T = 705.8708070030763 K, F = -0.00010069331322748454, relative_change = 1.7797963302864535e-9 Iter 110: T = 705.8708031658302 K, F = -4.211114694718798e-5, relative_change = 7.443321144006635e-10 Iter 115: T = 705.8708015610482 K, F = -1.7611384502624894e-5, relative_change = 3.112885816834781e-10 Iter 120: T = 705.8708008899091 K, F = -7.365291042948918e-6, relative_change = 1.3018459806398148e-10 Iter 125: T = 705.8708006092309 K, F = -3.0802536151730564e-6, relative_change = 5.444477037597784e-11 Iter 130: T = 705.8708004918477 K, F = -1.2881982843770956e-6, relative_change = 2.276944323729957e-11 Iter 135: T = 705.8708004427566 K, F = -5.387386418087559e-7, relative_change = 9.522430729208496e-12 Iter 140: T = 705.8708004222262 K, F = -2.2530678811527594e-7, relative_change = 3.982391676494742e-12 Iter 145: T = 705.8708004136402 K, F = -9.422575764084229e-8, relative_change = 1.665479660426578e-12 Iter 150: T = 705.8708004100494 K, F = -3.940658366285987e-8, relative_change = 6.965278414543962e-13 Iter 155: T = 705.8708004085477 K, F = -1.648076541904686e-8, relative_change = 2.91304419108534e-13 Converged in 157 iterations to T = 705.8708004082299 K Iter 1: T = 973.4637064976185 K, F = -6046.319717049369, relative_change = 0.026536293502381434 Iter 2: T = 949.1205065408149 K, F = -5116.733848728376, relative_change = 0.02500678740698713 Iter 3: T = 926.9033840017321 K, F = -4328.252145745961, relative_change = 0.023408115603840252 Iter 5: T = 888.5268964627605 K, F = -3092.9531155269965, relative_change = 0.020080862879642083 Iter 10: T = 823.1448681884403 K, F = -1324.4359208135702, relative_change = 0.01206035392297117 Iter 15: T = 789.4680602908469 K, F = -561.3963692780768, relative_change = 0.0061866030109148755 Iter 20: T = 773.7481039341039 K, F = -236.3508443785117, relative_change = 0.0028607363837857003 Iter 25: T = 766.8240088795773 K, F = -99.14365613261289, relative_change = 0.0012519846132960815 Iter 30: T = 763.8610736881136 K, F = -41.51739311887443, relative_change = 0.0005339943476213389 Iter 35: T = 762.6096912353349 K, F = -17.372731436648277, relative_change = 0.00022519517085679776 Iter 40: T = 762.0841679037205 K, F = -7.267185550603676, relative_change = 9.451083235336286e-5 Iter 45: T = 761.864003591215 K, F = -3.0395223120777777, relative_change = 3.958384254950385e-5 Iter 50: T = 761.7718608424716 K, F = -1.271216807652096, relative_change = 1.6564651663724728e-5 Iter 55: T = 761.7333138400444 K, F = -0.5316471984946113, relative_change = 6.929323554596942e-6 Iter 60: T = 761.7171909575317 K, F = -0.22234280792516758, relative_change = 2.8982387764450075e-6 Iter 65: T = 761.7104478141331 K, F = -0.09298669751285005, relative_change = 1.2121328058005811e-6 Iter 70: T = 761.7076276878217 K, F = -0.03888819634613183, relative_change = 5.069379894579877e-7 Iter 75: T = 761.7064482662627 K, F = -0.016263516693485247, relative_change = 2.1200919584386642e-7 Iter 80: T = 761.7059550161478 K, F = -0.006801598404978626, relative_change = 8.866507050105986e-8 Iter 85: T = 761.705748732721 K, F = -0.0028445099423284326, relative_change = 3.708084258482564e-8 Iter 90: T = 761.705662462469 K, F = -0.0011896080727522573, relative_change = 1.5507660147080118e-8 Iter 95: T = 761.7056263832093 K, F = -0.000497508311234629, relative_change = 6.48549024475228e-9 Iter 100: T = 761.70561129443 K, F = -0.0002080639182170385, relative_change = 2.7123097417248873e-9 Iter 105: T = 761.705604984122 K, F = -8.701481435102743e-5, relative_change = 1.1343203567938802e-9 Iter 110: T = 761.7056023450758 K, F = -3.639063422367084e-5, relative_change = 4.743863235857371e-10 Iter 115: T = 761.7056012413951 K, F = -1.5218997522659095e-5, relative_change = 1.983940232771665e-10 Iter 120: T = 761.7056007798227 K, F = -6.364766313438075e-6, relative_change = 8.297074744279952e-11 Iter 125: T = 761.7056005867876 K, F = -2.6618198084582545e-6, relative_change = 3.4699338272015055e-11 Iter 130: T = 761.705600506058 K, F = -1.1132046264794582e-6, relative_change = 1.4511674981503847e-11 Iter 135: T = 761.705600472296 K, F = -4.655560426058969e-7, relative_change = 6.0689632585913086e-12 Iter 140: T = 761.7056004581764 K, F = -1.9470146095379448e-7, relative_change = 2.538117659074609e-12 Iter 145: T = 761.7056004522713 K, F = -8.142642993202998e-8, relative_change = 1.0614705134778662e-12 Iter 150: T = 761.7056004498018 K, F = -3.405334003669935e-8, relative_change = 4.439174892614439e-13 Converged in 154 iterations to T = 761.7056004489103 K Iter 1: T = 964.300004759239 K, F = -8134.277875069879, relative_change = 0.03569999524076101 Iter 2: T = 930.5240637003193 K, F = -6900.834575471892, relative_change = 0.035026382756632474 Iter 3: T = 898.6411510967014 K, F = -5853.360992067352, relative_change = 0.034263393981271574 Iter 5: T = 840.4413430856902 K, F = -4208.55290870635, relative_change = 0.032443656441030616 Iter 10: T = 726.0914623075084 K, F = -1835.4818820697722, relative_change = 0.026072184922730005 Iter 15: T = 652.2425720304119 K, F = -792.6176120310978, relative_change = 0.01787885764971503 Iter 20: T = 610.435600376562 K, F = -338.42106558201834, relative_change = 0.01026143762082253 Iter 25: T = 589.5326476398802 K, F = -143.14245756875374, relative_change = 0.005094236888444676 Iter 30: T = 579.9575517787516 K, F = -60.190799093347344, relative_change = 0.0023127590729654403 Iter 35: T = 575.7811051526005 K, F = -25.233837858049032, relative_change = 0.0010032618293159153 Iter 40: T = 574.0020049293938 K, F = -10.564155843346985, relative_change = 0.0004262295541320974 Iter 45: T = 573.2520956423277 K, F = -4.420017005497325, relative_change = 0.00017944526445733163 Iter 50: T = 572.9374336828741 K, F = -1.8488487848248931, relative_change = 7.525650440834036e-5 Iter 55: T = 572.8056551477421 K, F = -0.7732711050331342, relative_change = 3.151011123850398e-5 Iter 60: T = 572.7505116782613 K, F = -0.32340179642671296, relative_change = 1.3184377227676574e-5 Iter 65: T = 572.7274443984294 K, F = -0.13525234565713798, relative_change = 5.514996857050766e-6 Iter 70: T = 572.7177964027397 K, F = -0.05656447019933372, relative_change = 2.3066357440793646e-6 Iter 75: T = 572.7137613236254 K, F = -0.023655993626449517, relative_change = 9.646972840692714e-7 Iter 80: T = 572.712073775249 K, F = -0.00989322895613498, relative_change = 4.0345398897705567e-7 Iter 85: T = 572.7113680170996 K, F = -0.004137468232718766, relative_change = 1.687303370477408e-7 Iter 90: T = 572.7110728596922 K, F = -0.001730338929781472, relative_change = 7.056522751771076e-8 Iter 95: T = 572.7109494211784 K, F = -0.0007236484574855706, relative_change = 2.9511253295733182e-8 Iter 100: T = 572.7108977976897 K, F = -0.0003026384367879609, relative_change = 1.234196425827401e-8 Iter 105: T = 572.7108762081251 K, F = -0.00012656701017987881, relative_change = 5.16155784059285e-9 Iter 110: T = 572.7108671791106 K, F = -5.2931835042735464e-5, relative_change = 2.158625287110808e-9 Iter 115: T = 572.7108634030687 K, F = -2.213672593903704e-5, relative_change = 9.027629185202283e-10 Iter 120: T = 572.7108618238829 K, F = -9.257842725207688e-6, relative_change = 3.775462211775196e-10 Iter 125: T = 572.7108611634486 K, F = -3.871740627825471e-6, relative_change = 1.5789434912953298e-10 Iter 130: T = 572.710860887247 K, F = -1.619207644187881e-6, relative_change = 6.603328121574497e-11 Iter 135: T = 572.7108607717363 K, F = -6.771730621246697e-7, relative_change = 2.761595120085447e-11 Iter 140: T = 572.7108607234283 K, F = -2.832017338416648e-7, relative_change = 1.1549315385303471e-11 Iter 145: T = 572.7108607032252 K, F = -1.1843803288114074e-7, relative_change = 4.83004880313951e-12 Iter 150: T = 572.7108606947761 K, F = -4.95324171678746e-8, relative_change = 2.0199929571204396e-12 Iter 155: T = 572.7108606912426 K, F = -2.0715483994848682e-8, relative_change = 8.448029425324372e-13 Iter 160: T = 572.7108606897648 K, F = -8.663066042302603e-9, relative_change = 3.5329049930959347e-13 Converged in 163 iterations to T = 572.7108606893321 K Iter 1: T = 963.5235045965464 K, F = -8311.204175781715, relative_change = 0.03647649540345353 Iter 2: T = 928.9221843210316 K, F = -7052.407770802071, relative_change = 0.03591123632215218 Iter 3: T = 896.1623342482923 K, F = -5983.35457797522, relative_change = 0.03526651707288511 Iter 5: T = 836.0477120125706 K, F = -4304.498567350304, relative_change = 0.03370933588208796 Iter 10: T = 716.0466014168787 K, F = -1881.2817808429447, relative_change = 0.028027653169592413 Iter 15: T = 636.0553806001507 K, F = -814.7764657892509, relative_change = 0.020135739897339223 Iter 20: T = 589.098362612427 K, F = -348.9209135258149, relative_change = 0.012106877718073596 Iter 25: T = 564.8938420429483 K, F = -147.9071929488704, relative_change = 0.006215695176829236 Iter 30: T = 553.5899251846341 K, F = -62.27168980048575, relative_change = 0.0028755821518930158 Iter 35: T = 548.6096531399203 K, F = -26.121926774166983, relative_change = 0.0012587796716413717 Iter 40: T = 546.4782539152485 K, F = -10.938893784668489, relative_change = 0.0005369495401813688 Iter 45: T = 545.5780190343771 K, F = -4.577335569528445, relative_change = 0.0002264517854009448 Iter 50: T = 545.1999530039515 K, F = -1.9147472456979127, relative_change = 9.504005447561747e-5 Iter 55: T = 545.041563372561 K, F = -0.800849253256738, relative_change = 3.9805820127140336e-5 Iter 60: T = 544.9752741785364 K, F = -0.33493857169500424, relative_change = 1.6657599492609126e-5 Iter 65: T = 544.9475427067536 K, F = -0.14007773428556597, relative_change = 6.968215439641769e-6 Iter 70: T = 544.9359435797348 K, F = -0.05858260533110077, relative_change = 2.914507326003337e-6 Iter 75: T = 544.9310924248724 K, F = -0.02450001932977025, relative_change = 1.2189371196282847e-6 Iter 80: T = 544.929063568247 K, F = -0.010246213644534041, relative_change = 5.097837418372387e-7 Iter 85: T = 544.9282150681787 K, F = -0.0042850911792879365, relative_change = 2.1319934220628444e-7 Iter 90: T = 544.9278602139182 K, F = -0.0017920767028574147, relative_change = 8.916280722077045e-8 Iter 95: T = 544.9277118093839 K, F = -0.0007494679484337796, relative_change = 3.7289002608054597e-8 Iter 100: T = 544.9276497447926 K, F = -0.000313436458730193, relative_change = 1.559471527636261e-8 Iter 105: T = 544.9276237886318 K, F = -0.00013108287258262186, relative_change = 6.521897763200911e-9 Iter 110: T = 544.927612933454 K, F = -5.482042301083179e-5, relative_change = 2.7275358029288503e-9 Iter 115: T = 544.9276083936887 K, F = -2.2926555239444202e-5, relative_change = 1.1406880738820016e-9 Iter 120: T = 544.9276064951048 K, F = -9.588159436912935e-6, relative_change = 4.770493947894096e-10 Iter 125: T = 544.9276057010943 K, F = -4.009883249611601e-6, relative_change = 1.9950777865758914e-10 Iter 130: T = 544.9276053690296 K, F = -1.6769815839867697e-6, relative_change = 8.343656181858399e-11 Iter 135: T = 544.9276052301561 K, F = -7.013335969474621e-7, relative_change = 3.489416022627981e-11 Iter 140: T = 544.9276051720776 K, F = -2.933059599363741e-7, relative_change = 1.4593148269357113e-11 Iter 145: T = 544.9276051477884 K, F = -1.2266376830938341e-7, relative_change = 6.1030146096760895e-12 Iter 150: T = 544.9276051376305 K, F = -5.12996816970368e-8, relative_change = 2.552364982843787e-12 Iter 155: T = 544.9276051333823 K, F = -2.1454594378855774e-8, relative_change = 1.067452147932218e-12 Iter 160: T = 544.9276051316056 K, F = -8.972308229715509e-9, relative_change = 4.464083320683687e-13 Converged in 165 iterations to T = 544.9276051308626 K Iter 1: T = 969.2801012933427 K, F = -6999.558142479571, relative_change = 0.030719898706657343 Iter 2: T = 940.700033860208 K, F = -5930.1792254951915, relative_change = 0.029485870384628063 Iter 3: T = 914.2209264693507 K, F = -5022.491440395081, relative_change = 0.028148300667322188 Iter 5: T = 867.3809115436453 K, F = -3598.611989085748, relative_change = 0.025193884748759516 Iter 10: T = 782.936649725461 K, F = -1551.9996253803388, relative_change = 0.016928835334587576 Iter 15: T = 735.8570996996127 K, F = -661.8401936659008, relative_change = 0.009532879509942832 Iter 20: T = 712.6015231358119 K, F = -279.7016861668458, relative_change = 0.004671416330080239 Iter 25: T = 702.0266838978101 K, F = -117.5588175375801, relative_change = 0.002105950042482393 Iter 30: T = 697.4312300625425 K, F = -49.273435443483855, relative_change = 0.0009105256328194818 Iter 35: T = 695.4769447421241 K, F = -20.626335686716235, relative_change = 0.0003862659100093209 Iter 40: T = 694.6537975829483 K, F = -8.629648868313225, relative_change = 0.00016251861116888623 Iter 45: T = 694.3085127591232 K, F = -3.6096320307015866, relative_change = 6.813972943377146e-5 Iter 50: T = 694.1639285494406 K, F = -1.5096981081335665, relative_change = 2.852713253774462e-5 Iter 55: T = 694.1034298071206 K, F = -0.6313924893118148, relative_change = 1.1935692474101933e-5 Iter 60: T = 694.0781229261097 K, F = -0.26405915318573375, relative_change = 4.992577584033823e-6 Iter 65: T = 694.0675383091287 K, F = -0.11043326404568377, relative_change = 2.0881180004799844e-6 Iter 70: T = 694.0631115249743 K, F = -0.046184610031066775, relative_change = 8.733042976387888e-7 Iter 75: T = 694.0612601610769 K, F = -0.019314972989200374, relative_change = 3.6523125625538033e-7 Iter 80: T = 694.0604858933561 K, F = -0.008077755434673595, relative_change = 1.5274494230300882e-7 Iter 85: T = 694.0601620844341 K, F = -0.003378214326280493, relative_change = 6.387991103587657e-8 Iter 90: T = 694.0600266635159 K, F = -0.0014128096693714065, relative_change = 2.6715368272116726e-8 Iter 95: T = 694.0599700288427 K, F = -0.0005908538928485196, relative_change = 1.1172690714905825e-8 Iter 100: T = 694.0599463435411 K, F = -0.00024710215666612356, relative_change = 4.672553491473681e-9 Iter 105: T = 694.0599364380643 K, F = -0.0001033410727298012, relative_change = 1.9541178010001288e-9 Iter 110: T = 694.0599322954754 K, F = -4.321847073007756e-5, relative_change = 8.172354239675401e-10 Iter 115: T = 694.0599305629952 K, F = -1.8074480199969933e-5, relative_change = 3.417776107122148e-10 Iter 120: T = 694.0599298384514 K, F = -7.558964859488704e-6, relative_change = 1.4293550538611983e-10 Iter 125: T = 694.0599295354384 K, F = -3.161249267247257e-6, relative_change = 5.97773334053148e-11 Iter 130: T = 694.0599294087148 K, F = -1.3220715429085317e-6, relative_change = 2.4999582378279257e-11 Iter 135: T = 694.0599293557174 K, F = -5.529057721664898e-7, relative_change = 1.0455117559915381e-11 Iter 140: T = 694.0599293335533 K, F = -2.312314172359109e-7, relative_change = 4.3724478434037585e-12 Iter 145: T = 694.059929324284 K, F = -9.670298606323513e-8, relative_change = 1.828595646492087e-12 Iter 150: T = 694.0599293204075 K, F = -4.044255330626356e-8, relative_change = 7.647445019170926e-13 Iter 155: T = 694.0599293187863 K, F = -1.6913830891418513e-8, relative_change = 3.1983042917095813e-13 Converged in 158 iterations to T = 694.0599293183117 K Iter 1: T = 966.4200675499497 K, F = -7651.219551506093, relative_change = 0.03357993245005028 Iter 2: T = 934.8765889362182 K, F = -6487.3098370322905, relative_change = 0.0326395111948575 Iter 3: T = 905.3399142885655 K, F = -5499.05469399109, relative_change = 0.031594196493103015 Iter 5: T = 852.1631415722833 K, F = -3947.77737953444, relative_change = 0.029183299854716765 Iter 10: T = 751.7436423577551 K, F = -1712.8101546968949, relative_change = 0.021569652911457505 Iter 15: T = 691.4211833215976 K, F = -734.9262691191993, relative_change = 0.013370800036086664 Iter 20: T = 659.6765410892918 K, F = -312.01196296225964, relative_change = 0.007028249016848986 Iter 25: T = 644.643941275742 K, F = -131.48263091576771, relative_change = 0.0032968268179293836 Iter 30: T = 637.9712164130266 K, F = -55.17975089499883, relative_change = 0.0014530793683166271 Iter 35: T = 635.1054193459971 K, F = -23.111968356340455, relative_change = 0.0006217438952601985 Iter 40: T = 633.8931147362777 K, F = -9.671966551212316, relative_change = 0.00026256208285782155 Iter 45: T = 633.3836518204934 K, F = -4.046036757526347, relative_change = 0.00011025748971209902 Iter 50: T = 633.1701538673791 K, F = -1.6922947969158064, relative_change = 4.619033652606003e-5 Iter 55: T = 633.0807902052323 K, F = -0.7077718575440014, relative_change = 1.933126167398188e-5 Iter 60: T = 633.0434038946406 K, F = -0.2960045871604067, relative_change = 8.0870001727705e-6 Iter 65: T = 633.0277661549161 K, F = -0.12379369320533634, relative_change = 3.382506242160614e-6 Iter 70: T = 633.0212258563557 K, F = -0.05177218278322082, relative_change = 1.4146790609774564e-6 Iter 75: T = 633.0184905538385 K, F = -0.021651776938320433, relative_change = 5.916487187773307e-7 Iter 80: T = 633.0173466051447 K, F = -0.009055037254234344, relative_change = 2.4743684082617616e-7 Iter 85: T = 633.0168681899503 K, F = -0.0037869256918194316, relative_change = 1.0348144076531613e-7 Iter 90: T = 633.0166681106199 K, F = -0.001583737719584033, relative_change = 4.32772441224594e-8 Iter 95: T = 633.0165844349874 K, F = -0.0006623380580949578, relative_change = 1.8099072540035327e-8 Iter 100: T = 633.0165494408269 K, F = -0.0002769976902747828, relative_change = 7.569250397041175e-9 Iter 105: T = 633.0165348058491 K, F = -0.00011584374414214116, relative_change = 3.1655513155690253e-9 Iter 110: T = 633.0165286853262 K, F = -4.844723726116218e-5, relative_change = 1.323871425627788e-9 Iter 115: T = 633.0165261256504 K, F = -2.0261213036443237e-5, relative_change = 5.536588466190838e-10 Iter 120: T = 633.0165250551634 K, F = -8.473481150184092e-6, relative_change = 2.3154674055265286e-10 Iter 125: T = 633.0165246074729 K, F = -3.543711240561187e-6, relative_change = 9.683561872994406e-11 Iter 130: T = 633.0165244202433 K, F = -1.482021286691726e-6, relative_change = 4.0497782896979297e-11 Iter 135: T = 633.0165243419417 K, F = -6.197988561829071e-7, relative_change = 1.693665250133123e-11 Iter 140: T = 633.0165243091951 K, F = -2.5920688889735644e-7, relative_change = 7.0830995580143394e-12 Iter 145: T = 633.0165242955001 K, F = -1.0840331943207104e-7, relative_change = 2.9622341724865673e-12 Iter 150: T = 633.0165242897726 K, F = -4.5335514842204105e-8, relative_change = 1.2388403971594893e-12 Iter 155: T = 633.0165242873774 K, F = -1.8960162884162912e-8, relative_change = 5.181062970124679e-13 Converged in 160 iterations to T = 633.0165242863757 K Iter 1: T = 966.520837638085 K, F = -7628.258991067351, relative_change = 0.03347916236191492 Iter 2: T = 935.082709145808 K, F = -6467.6657352857455, relative_change = 0.03252710885065162 Iter 3: T = 905.6558361270462 K, F = -5482.236144737118, relative_change = 0.03146980767684511 Iter 5: T = 852.7106522919996 K, F = -3935.424439262358, relative_change = 0.029035069875573066 Iter 10: T = 752.90462489185 K, F = -1707.0584952657239, relative_change = 0.021381397023420307 Iter 15: T = 693.1315426492721 K, F = -732.2694511321502, relative_change = 0.01320057840586657 Iter 20: T = 661.7633585252247 K, F = -310.8194608871714, relative_change = 0.006916615366565919 Iter 25: T = 646.9372427129965 K, F = -130.96364626347275, relative_change = 0.00323826732658097 Iter 30: T = 640.3629877038726 K, F = -54.95847878025486, relative_change = 0.0014259103819190479 Iter 35: T = 637.540870343013 K, F = -23.018628783222884, relative_change = 0.0006098557337599138 Iter 40: T = 636.3473033565518 K, F = -9.632785774703938, relative_change = 0.00025749364054583666 Iter 45: T = 635.8457616233777 K, F = -4.029625140213295, relative_change = 0.00010812053579229064 Iter 50: T = 635.6355914496247 K, F = -1.6854267308856699, relative_change = 4.529358906196424e-5 Iter 55: T = 635.5476221509725 K, F = -0.7048987556355268, relative_change = 1.8955696106209398e-5 Iter 60: T = 635.5108194438003 K, F = -0.29480288248843406, relative_change = 7.929840435910974e-6 Iter 65: T = 635.4954258552215 K, F = -0.12329110161234524, relative_change = 3.316763758838515e-6 Iter 70: T = 635.4889876777984 K, F = -0.051561988716303575, relative_change = 1.3871818993382536e-6 Iter 75: T = 635.4862950860467 K, F = -0.021563870524598072, relative_change = 5.801485753892395e-7 Iter 80: T = 635.4851689999398 K, F = -0.009018273610868544, relative_change = 2.426272556868613e-7 Iter 85: T = 635.4846980551688 K, F = -0.0037715506745677474, relative_change = 1.0146999947061482e-7 Iter 90: T = 635.4845011000718 K, F = -0.0015773076995969637, relative_change = 4.243603266078982e-8 Iter 95: T = 635.4844187310335 K, F = -0.0006596489458186583, relative_change = 1.7747267379130027e-8 Iter 100: T = 635.4843842833068 K, F = -0.00027587307212761925, relative_change = 7.4221212181764e-9 Iter 105: T = 635.4843698768541 K, F = -0.00011537341447165339, relative_change = 3.104020096572983e-9 Iter 110: T = 635.4843638519031 K, F = -4.8250539970484674e-5, relative_change = 1.2981383378932831e-9 Iter 115: T = 635.4843613321967 K, F = -2.017895252309776e-5, relative_change = 5.428969789619311e-10 Iter 120: T = 635.4843602784254 K, F = -8.439079402011718e-6, relative_change = 2.2704601457871023e-10 Iter 125: T = 635.4843598377256 K, F = -3.5293245840839482e-6, relative_change = 9.495337648151683e-11 Iter 130: T = 635.4843596534197 K, F = -1.4760065944474654e-6, relative_change = 3.971066041285382e-11 Iter 135: T = 635.4843595763407 K, F = -6.17282956305587e-7, relative_change = 1.6607455524157208e-11 Iter 140: T = 635.4843595441054 K, F = -2.58155832766338e-7, relative_change = 6.945455837082414e-12 Iter 145: T = 635.4843595306241 K, F = -1.0796313021366188e-7, relative_change = 2.904653150667371e-12 Iter 150: T = 635.4843595249862 K, F = -4.515170887176012e-8, relative_change = 1.2147670522183284e-12 Iter 155: T = 635.4843595226282 K, F = -1.8882759966754037e-8, relative_change = 5.080240645623007e-13 Converged in 160 iterations to T = 635.4843595216421 K Iter 1: T = 976.4697652055984 K, F = -5361.386380936129, relative_change = 0.023530234794401635 Iter 2: T = 955.1005273938177 K, F = -4533.365366001055, relative_change = 0.021884177650171543 Iter 3: T = 935.8003734785543 K, F = -3831.488261806034, relative_change = 0.020207458127918524 Iter 5: T = 902.9852929814983 K, F = -2733.1058938339274, relative_change = 0.016855299302945975 Iter 10: T = 848.961123170173 K, F = -1165.4063136441669, relative_change = 0.009477678122845164 Iter 15: T = 822.2995791450011 K, F = -492.48345799470724, relative_change = 0.004639840214214537 Iter 20: T = 810.1825953215734 K, F = -206.98403289854815, relative_change = 0.0020906256218079953 Iter 25: T = 804.9184197463325 K, F = -86.75358742773315, relative_change = 0.0009036791716529543 Iter 30: T = 802.6800285985437 K, F = -36.31562969547542, relative_change = 0.0003833202862145518 Iter 35: T = 801.7372665204952 K, F = -15.193691207834211, relative_change = 0.00016127185423465656 Iter 40: T = 801.3418159748004 K, F = -6.355248577748216, relative_change = 6.761568680818738e-5 Iter 45: T = 801.1762270167667 K, F = -2.6580275983053223, relative_change = 2.830750839881415e-5 Iter 50: T = 801.1069394833412 K, F = -1.1116515759546148, relative_change = 1.1843761823724422e-5 Iter 55: T = 801.0779562626496 K, F = -0.4649116846917769, relative_change = 4.954116870145247e-6 Iter 60: T = 801.0658340231367 K, F = -0.19443261926016997, relative_change = 2.0720307828427536e-6 Iter 65: T = 801.0607641635459 K, F = -0.08131421837664754, relative_change = 8.665759959177525e-7 Iter 70: T = 801.0586438537405 K, F = -0.03400660782412557, relative_change = 3.6241732404246215e-7 Iter 75: T = 801.0577571089151 K, F = -0.014221974866772347, relative_change = 1.5156810895312098e-7 Iter 80: T = 801.0573862606 K, F = -0.005947800671080583, relative_change = 6.338774296017054e-8 Iter 85: T = 801.0572311672239 K, F = -0.002487441435676918, relative_change = 2.6509537292996054e-8 Iter 90: T = 801.05716630529 K, F = -0.0010402777428925036, relative_change = 1.1086609660982048e-8 Iter 95: T = 801.057139179249 K, F = -0.0004350565805186779, relative_change = 4.636553362085404e-9 Iter 100: T = 801.0571278348139 K, F = -0.00018194585867659097, relative_change = 1.939062129898556e-9 Iter 105: T = 801.0571230904354 K, F = -7.609193188995445e-5, relative_change = 8.109389724643796e-10 Iter 110: T = 801.0571211062796 K, F = -3.182255507183651e-5, relative_change = 3.391443714795703e-10 Iter 115: T = 801.057120276482 K, F = -1.330857241321759e-5, relative_change = 1.4183422539275178e-10 Iter 120: T = 801.0571199294507 K, F = -5.565803406271108e-6, relative_change = 5.93167615529583e-11 Iter 125: T = 801.0571197843182 K, F = -2.327686462799683e-6, relative_change = 2.4806988843241212e-11 Iter 130: T = 801.057119723622 K, F = -9.73468744058792e-7, relative_change = 1.037460528630511e-11 Iter 135: T = 801.0571196982381 K, F = -4.071180803588703e-7, relative_change = 4.338803289840074e-12 Iter 140: T = 801.0571196876222 K, F = -1.7026153675825384e-7, relative_change = 1.8145382175494813e-12 Iter 145: T = 801.0571196831825 K, F = -7.120428080487073e-8, relative_change = 7.58849539578756e-13 Iter 150: T = 801.0571196813258 K, F = -2.978002910936084e-8, relative_change = 3.1737644314474903e-13 Converged in 153 iterations to T = 801.0571196807822 K Iter 1: T = 965.1996006459827 K, F = -7929.304096538704, relative_change = 0.03480039935401723 Iter 2: T = 932.3747005852351 K, F = -6725.309705061724, relative_change = 0.03400840617710451 Iter 3: T = 901.4958573770806 K, F = -5702.910710538641, relative_change = 0.03311849108386616 Iter 5: T = 845.4632403916959 K, F = -4097.690463133109, relative_change = 0.03102634569456225 Iter 10: T = 737.2751321737002 K, F = -1783.025875910542, relative_change = 0.024025991593576015 Iter 15: T = 669.6710913819152 K, F = -767.6865073650812, relative_change = 0.015720665912851473 Iter 20: T = 632.7094828657694 K, F = -326.87203838885983, relative_change = 0.008644074731397028 Iter 25: T = 614.7216453487682 K, F = -137.99819009402424, relative_change = 0.004169931031987743 Iter 30: T = 606.6135164157878 K, F = -57.96896520365083, relative_change = 0.0018643553215668518 Iter 35: T = 603.1052863610822 K, F = -24.2907942902379, relative_change = 0.0008029611884086523 Iter 40: T = 601.6162876308449 K, F = -10.16721373206489, relative_change = 0.0003400576664075989 Iter 45: T = 600.9896526441938 K, F = -4.25355509057432, relative_change = 0.0001429733394502957 Iter 50: T = 600.7268934089243 K, F = -1.7791519225520345, relative_change = 5.992662395764634e-5 Iter 55: T = 600.6168825773043 K, F = -0.7441089096463662, relative_change = 2.50854497277598e-5 Iter 60: T = 600.570853391703 K, F = -0.31120334170543856, relative_change = 1.0495136450827053e-5 Iter 65: T = 600.5515997007377 K, F = -0.1301503727997606, relative_change = 4.389909221530619e-6 Iter 70: T = 600.5435469236094 K, F = -0.05443068839395504, relative_change = 1.8360380403613157e-6 Iter 75: T = 600.5401790417071 K, F = -0.02276360732886501, relative_change = 7.678750010997693e-7 Iter 80: T = 600.538770533276 K, F = -0.009520020029577025, relative_change = 3.2113833775776095e-7 Iter 85: T = 600.5381814747311 K, F = -0.003981387395950553, relative_change = 1.3430455999099522e-7 Iter 90: T = 600.5379351228012 K, F = -0.001665063988737836, relative_change = 5.616788844491391e-8 Iter 95: T = 600.537832095375 K, F = -0.0006963496852750994, relative_change = 2.3490102273586656e-8 Iter 100: T = 600.5377890080563 K, F = -0.0002912217615573254, relative_change = 9.823844893842215e-9 Iter 105: T = 600.5377709884217 K, F = -0.00012179241956700171, relative_change = 4.10844987543774e-9 Iter 110: T = 600.5377634523948 K, F = -5.0935043813205017e-5, relative_change = 1.718202886978142e-9 Iter 115: T = 600.5377603007382 K, F = -2.1301643723548036e-5, relative_change = 7.185729886067493e-10 Iter 120: T = 600.5377589826778 K, F = -8.908602247614805e-6, relative_change = 3.0051582363064006e-10 Iter 125: T = 600.5377584314492 K, F = -3.7256842146393687e-6, relative_change = 1.256793191707036e-10 Iter 130: T = 600.5377582009189 K, F = -1.5581256616048478e-6, relative_change = 5.256059327876837e-11 Iter 135: T = 600.5377581045083 K, F = -6.516258997391056e-7, relative_change = 2.1981438825030164e-11 Iter 140: T = 600.5377580641882 K, F = -2.7251850021059454e-7, relative_change = 9.192926102816578e-12 Iter 145: T = 600.5377580473258 K, F = -1.1397026133952437e-7, relative_change = 3.844583724566783e-12 Iter 150: T = 600.5377580402738 K, F = -4.766339883888193e-8, relative_change = 1.607839846026542e-12 Iter 155: T = 600.5377580373246 K, F = -1.9932899664176773e-8, relative_change = 6.724008591161899e-13 Iter 160: T = 600.5377580360912 K, F = -8.336690782151379e-9, relative_change = 2.81223411475539e-13 Converged in 162 iterations to T = 600.5377580358302 K Iter 1: T = 964.5943212261456 K, F = -8067.217588117993, relative_change = 0.03540567877385449 Iter 2: T = 931.1301386289895 K, F = -6843.3998815772375, relative_change = 0.03469249389175129 Iter 3: T = 899.5771175846032 K, F = -5804.121121063788, relative_change = 0.03388680028212317 Iter 5: T = 842.09229440751 K, F = -4172.248223250555, relative_change = 0.031974284208496045 Iter 10: T = 729.8019310916874 K, F = -1818.2510461837667, relative_change = 0.025378422484452864 Iter 15: T = 658.0901436051183 K, F = -784.3795126050202, relative_change = 0.017125079932931282 Iter 20: T = 617.9830579007855 K, F = -334.5774918223013, relative_change = 0.009681062169763338 Iter 25: T = 598.1227610457651 K, F = -141.42079332601696, relative_change = 0.004756512475514071 Iter 30: T = 589.0784849223312 K, F = -59.44478719146741, relative_change = 0.0021473350548215846 Iter 35: T = 585.1452479359284 K, F = -24.916697284333054, relative_change = 0.0009290332508838469 Iter 40: T = 583.472016860877 K, F = -10.430572016428599, relative_change = 0.00039423206406238853 Iter 45: T = 582.7671471143299 K, F = -4.363980175848458, relative_change = 0.00016589096501140417 Iter 50: T = 582.4714576687701 K, F = -1.825383395927204, relative_change = 6.95573228502309e-5 Iter 55: T = 582.347637742493 K, F = -0.7634523093137535, relative_change = 2.912125956006758e-5 Iter 60: T = 582.2958268851347 K, F = -0.31929453195884516, relative_change = 1.2184386583004837e-5 Iter 65: T = 582.2741540839316 K, F = -0.13353447638075439, relative_change = 5.096623488199982e-6 Iter 70: T = 582.2650894054467 K, F = -0.0558460083707267, relative_change = 2.131638074278393e-6 Iter 75: T = 582.261298299225 K, F = -0.02335551934501323, relative_change = 8.915061077564472e-7 Iter 80: T = 582.2597127871917 K, F = -0.009767566155452212, relative_change = 3.7284367975993615e-7 Iter 85: T = 582.259049702553 K, F = -0.004084914396174644, relative_change = 1.559285853119189e-7 Iter 90: T = 582.2587723918389 K, F = -0.0017083602614978433, relative_change = 6.521135498967237e-8 Iter 95: T = 582.2586564170465 K, F = -0.0007144567115739409, relative_change = 2.7272195141973208e-8 Iter 100: T = 582.2586079149788 K, F = -0.00029879433713814185, relative_change = 1.1405562533616206e-8 Iter 105: T = 582.2585876308308 K, F = -0.0001249593623385281, relative_change = 4.769943337437399e-9 Iter 110: T = 582.258579147757 K, F = -5.225949842269095e-5, relative_change = 1.994847436355054e-9 Iter 115: T = 582.2585756000341 K, F = -2.185554648614918e-5, relative_change = 8.34269050768884e-10 Iter 120: T = 582.258574116334 K, F = -9.140250683825624e-6, relative_change = 3.4890128961664585e-10 Iter 125: T = 582.2585734958328 K, F = -3.8225618648746185e-6, relative_change = 1.459146819048299e-10 Iter 130: T = 582.2585732363318 K, F = -1.5986407018164783e-6, relative_change = 6.102325043423958e-11 Iter 135: T = 582.2585731278053 K, F = -6.68570318551609e-7, relative_change = 2.55206401111395e-11 Iter 140: T = 582.2585730824184 K, F = -2.796040370900421e-7, relative_change = 1.0673034397194797e-11 Iter 145: T = 582.258573063437 K, F = -1.1693395401968232e-7, relative_change = 4.463598332251019e-12 Iter 150: T = 582.2585730554987 K, F = -4.890220173248139e-8, relative_change = 1.8666929373989556e-12 Iter 155: T = 582.2585730521788 K, F = -2.0450803717153576e-8, relative_change = 7.806472819530061e-13 Iter 160: T = 582.2585730507903 K, F = -8.552238306425153e-9, relative_change = 3.264557071173239e-13 Converged in 163 iterations to T = 582.2585730503839 K Iter 1: T = 964.2941283017158 K, F = -8135.616831506498, relative_change = 0.03570587169828422 Iter 2: T = 930.5119564691337 K, F = -6901.981432612503, relative_change = 0.03503305769586934 Iter 3: T = 898.6224432080946 K, F = -5854.344314185475, relative_change = 0.03427093337096405 Iter 5: T = 840.4082997599646 K, F = -4209.278127201735, relative_change = 0.03245308529865191 Iter 10: T = 726.0168503703113 K, F = -1835.8266237969578, relative_change = 0.02608629042939433 Iter 15: T = 652.1242890434306 K, F = -792.7829520245486, relative_change = 0.0178944280134213 Iter 20: T = 610.2821075821836 K, F = -338.49851085849684, relative_change = 0.01027360832710808 Iter 25: T = 589.3573212714855 K, F = -143.17725860602334, relative_change = 0.0051013934755564025 Iter 30: T = 579.7710346897846 K, F = -60.20590709319182, relative_change = 0.0023162845427400288 Iter 35: T = 575.5894430175634 K, F = -25.240266439897415, relative_change = 0.0010048480476566146 Iter 40: T = 573.8080996047256 K, F = -10.566864774409678, relative_change = 0.0004269141377365146 Iter 45: T = 573.057235346033 K, F = -4.421153573857457, relative_change = 0.00017973540594783713 Iter 50: T = 572.7421709948158 K, F = -1.8493247583321377, relative_change = 7.537852668214508e-5 Iter 55: T = 572.6102236430775 K, F = -0.7734702765055446, relative_change = 3.1561262367798546e-5 Iter 60: T = 572.5550094791425 K, F = -0.32348511223237036, relative_change = 1.320579027578886e-5 Iter 65: T = 572.531912617695 K, F = -0.13528719280857876, relative_change = 5.5239557325321865e-6 Iter 70: T = 572.5222522477586 K, F = -0.056579044304328086, relative_change = 2.31038309726016e-6 Iter 75: T = 572.5182119930859 K, F = -0.023662088797489017, relative_change = 9.662645846427534e-7 Iter 80: T = 572.5165222801415 K, F = -0.009895778048232218, relative_change = 4.0410947251844767e-7 Iter 85: T = 572.5158156167286 K, F = -0.004138534295722085, relative_change = 1.6900447150034102e-7 Iter 90: T = 572.5155200807264 K, F = -0.00173078477023475, relative_change = 7.067987440667633e-8 Iter 95: T = 572.5153964838795 K, F = -0.00072383491355138, relative_change = 2.9559200106044145e-8 Iter 100: T = 572.5153447941738 K, F = -0.00030271641412860095, relative_change = 1.2362016171521495e-8 Iter 105: T = 572.5153231769167 K, F = -0.00012659962199856878, relative_change = 5.1699438244703596e-9 Iter 110: T = 572.5153141363207 K, F = -5.294547408207784e-5, relative_change = 2.162132422053162e-9 Iter 115: T = 572.5153103554354 K, F = -2.214243015336015e-5, relative_change = 9.042296527299013e-10 Iter 120: T = 572.515308774224 K, F = -9.260228929497405e-6, relative_change = 3.7815965281251526e-10 Iter 125: T = 572.5153081129423 K, F = -3.872738058463554e-6, relative_change = 1.5815087281598315e-10 Iter 130: T = 572.5153078363866 K, F = -1.619625408455505e-6, relative_change = 6.61405880553868e-11 Iter 135: T = 572.5153077207276 K, F = -6.77346852218097e-7, relative_change = 2.7660790533645948e-11 Iter 140: T = 572.5153076723576 K, F = -2.832746189840307e-7, relative_change = 1.1568076055433437e-11 Iter 145: T = 572.5153076521287 K, F = -1.1846875086485298e-7, relative_change = 4.8379043817709934e-12 Iter 150: T = 572.5153076436687 K, F = -4.954492954789558e-8, relative_change = 2.0232646163763487e-12 Iter 155: T = 572.5153076401307 K, F = -2.0719879978425837e-8, relative_change = 8.461370396464266e-13 Iter 160: T = 572.515307638651 K, F = -8.665523743012216e-9, relative_change = 3.5387370074647744e-13 Converged in 163 iterations to T = 572.5153076382179 K Iter 1: T = 980.1859653013623 K, F = -4514.646654097419, relative_change = 0.01981403469863769 Iter 2: T = 962.4137225223897 K, F = -3813.4868467388706, relative_change = 0.018131500968296875 Iter 3: T = 946.5620579671269 K, F = -3219.721565114444, relative_change = 0.016470738295082915 Iter 5: T = 920.0962621626629 K, F = -2291.9980569742024, relative_change = 0.013303079585279407 Iter 10: T = 878.0928223541489 K, F = -972.9854302786781, relative_change = 0.0069838542186153735 Iter 15: T = 858.2170332468022 K, F = -409.99828026652665, relative_change = 0.003273536505273715 Iter 20: T = 849.3980877032259 K, F = -172.06106642456214, relative_change = 0.0014422724328991751 Iter 25: T = 845.6112661674688 K, F = -72.06674562071314, relative_change = 0.000617014857076582 Iter 30: T = 844.0094821816537 K, F = -30.158562578969352, relative_change = 0.00026054582415866844 Iter 35: T = 843.3363678828046 K, F = -12.61608987565724, relative_change = 0.00010940738411755854 Iter 40: T = 843.0542937809381 K, F = -5.276799462240189, relative_change = 4.583359766626008e-5 Iter 45: T = 842.9362270265666 K, F = -2.2069256459823094, relative_change = 1.91818559952468e-5 Iter 50: T = 842.8868325838454 K, F = -0.9229810531248794, relative_change = 8.024479581140118e-6 Iter 55: T = 842.8661721724872 K, F = -0.3860049166142002, relative_change = 3.356352846737659e-6 Iter 60: T = 842.857531205416 K, F = -0.16143242877467046, relative_change = 1.4037402549697258e-6 Iter 65: T = 842.8539173559818 K, F = -0.0675130680465914, relative_change = 5.870737794120577e-7 Iter 70: T = 842.852405984582 K, F = -0.028234788543848532, relative_change = 2.4552351156214863e-7 Iter 75: T = 842.8517739081432 K, F = -0.011808128770797621, relative_change = 1.0268125749012142e-7 Iter 80: T = 842.851509565726 K, F = -0.004938300994038913, relative_change = 4.2942596830952874e-8 Iter 85: T = 842.8513990144826 K, F = -0.0020652565437151438, relative_change = 1.7959118855331316e-8 Iter 90: T = 842.8513527806168 K, F = -0.0008637149655057463, relative_change = 7.510720070643784e-9 Iter 95: T = 842.8513334450594 K, F = -0.0003612159155157446, relative_change = 3.141073191020213e-9 Iter 100: T = 842.851325358698 K, F = -0.00015106481103144276, relative_change = 1.3136343924254018e-9 Iter 105: T = 842.8513219768848 K, F = -6.317710582992575e-5, relative_change = 5.493775820517739e-10 Iter 110: T = 842.8513205625702 K, F = -2.64214193810286e-5, relative_change = 2.2975626089887055e-10 Iter 115: T = 842.851319971087 K, F = -1.1049752888458997e-5, relative_change = 9.608681045404003e-11 Iter 120: T = 842.8513197237216 K, F = -4.621138258054103e-6, relative_change = 4.018464856058513e-11 Iter 125: T = 842.8513196202705 K, F = -1.932613923560922e-6, relative_change = 1.680568877843458e-11 Iter 130: T = 842.8513195770059 K, F = -8.082413487375817e-7, relative_change = 7.028332147705115e-12 Iter 135: T = 842.8513195589122 K, F = -3.3801581977854767e-7, relative_change = 2.9393292690802716e-12 Iter 140: T = 842.8513195513452 K, F = -1.41363715400189e-7, relative_change = 1.2292753237161994e-12 Iter 145: T = 842.8513195481808 K, F = -5.911986988849094e-8, relative_change = 5.140965416111037e-13 Converged in 150 iterations to T = 842.8513195468572 K Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 80%|██████████████████████████▍ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015014994650382005 Iteration 10: d = 1.491736154089272e-5 Iteration 20: d = 1.7367827065529974e-7 Iteration 30: d = 2.374635769608289e-9 Iteration 40: d = 3.3308826267105215e-11 Iteration 50: d = 4.684356579350792e-13 Iteration 60: d = 6.575479762645111e-15 Converged after 63 iterations. d = 1.8361651171795766e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.610216156208 Iteration 2: convergence error = 4823.448753098937 Iteration 3: convergence error = 1096.3373747451355 Iteration 4: convergence error = 321.4773152856519 Iteration 5: convergence error = 95.32007660479803 Iteration 6: convergence error = 28.414550259553835 Iteration 7: convergence error = 8.520052985591064 Iteration 8: convergence error = 2.553229862957778 Iteration 9: convergence error = 0.7633312191651385 Iteration 10: convergence error = 0.22790052028358332 Iteration 11: convergence error = 0.06798941332840513 Iteration 12: convergence error = 0.02027432377576588 Iteration 13: convergence error = 0.006044256750556087 Iteration 14: convergence error = 0.0018016791736954474 Iteration 15: convergence error = 0.0005370027088247298 Iteration 16: convergence error = 0.0001600497591880412 Iteration 17: convergence error = 4.7700372533654445e-5 Iteration 18: convergence error = 1.4216138652045629e-5 Iteration 19: convergence error = 4.236794438838842e-6 Iteration 20: convergence error = 1.2626762782019796e-6 Iteration 21: convergence error = 3.763084350794088e-7 Iteration 22: convergence error = 1.1200745575479232e-7 Iteration 23: convergence error = 3.246987034799531e-8 Iteration 24: convergence error = 9.357790986541659e-9 Iteration 25: convergence error = 2.688466338440776e-9 Iteration 26: convergence error = 7.710241334279999e-10 Iteration 27: convergence error = 2.1873347577638924e-10 Iteration 28: convergence error = 6.298250809777528e-11 Iteration 29: convergence error = 1.77351466845721e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▍ | ETA: 0:00:02 Bin 1 progress: 81%|██████████████████████████▊ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0019745726557444444 Iteration 10: d = 2.2906472179512524e-5 Iteration 20: d = 2.5270273505883396e-7 Iteration 30: d = 3.041095174577848e-9 Iteration 40: d = 3.7439973257799044e-11 Iteration 50: d = 4.670409853079058e-13 Iteration 60: d = 5.911957308559682e-15 Converged after 63 iterations. d = 1.6250075329566964e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 12291.650349145357 Iteration 2: convergence error = 8320.139269209507 Iteration 3: convergence error = 1944.4813053781127 Iteration 4: convergence error = 477.26720553494397 Iteration 5: convergence error = 121.57805853275181 Iteration 6: convergence error = 32.455871458673755 Iteration 7: convergence error = 8.842246339507028 Iteration 8: convergence error = 2.423023632981767 Iteration 9: convergence error = 0.6648260704844233 Iteration 10: convergence error = 0.18244482921136296 Iteration 11: convergence error = 0.050065473992617626 Iteration 12: convergence error = 0.01373802035755034 Iteration 13: convergence error = 0.003769615972032625 Iteration 14: convergence error = 0.0010343404001105228 Iteration 15: convergence error = 0.0002838094130765967 Iteration 16: convergence error = 7.787333152009523e-5 Iteration 17: convergence error = 2.136732655344531e-5 Iteration 18: convergence error = 5.862883881491143e-6 Iteration 19: convergence error = 1.6086896721390076e-6 Iteration 20: convergence error = 4.4140074351162184e-7 Iteration 21: convergence error = 1.2197460819152184e-7 Iteration 22: convergence error = 3.2810021366458386e-8 Iteration 23: convergence error = 8.775487003731541e-9 Iteration 24: convergence error = 2.3451320885214955e-9 Iteration 25: convergence error = 6.250502337934449e-10 Iteration 26: convergence error = 1.6757439880166203e-10 Iteration 27: convergence error = 4.433786671143025e-11 Iteration 28: convergence error = 1.2050804798491299e-11 Converged after 28 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Uniform extinction detected across 5 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (5 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 41%|█████████████▍ | ETA: 0:00:02 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0019745726557444444 Iteration 10: d = 2.2906472179512524e-5 Iteration 20: d = 2.5270273505883396e-7 Iteration 30: d = 3.041095174577848e-9 Iteration 40: d = 3.7439973257799044e-11 Iteration 50: d = 4.670409853079058e-13 Iteration 60: d = 5.911957308559682e-15 Converged after 63 iterations. d = 1.6250075329566964e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10994.593962385261 Iteration 2: convergence error = 5731.595784838939 Iteration 3: convergence error = 2013.22120835737 Iteration 4: convergence error = 893.2537276618905 Iteration 5: convergence error = 408.6120066493436 Iteration 6: convergence error = 192.82636738293377 Iteration 7: convergence error = 91.078352366324 Iteration 8: convergence error = 43.040108481228344 Iteration 9: convergence error = 20.339261253578115 Iteration 10: convergence error = 9.609605488407396 Iteration 11: convergence error = 4.539053112536749 Iteration 12: convergence error = 2.1435215155911465 Iteration 13: convergence error = 1.0120817683286987 Iteration 14: convergence error = 0.47780368414396435 Iteration 15: convergence error = 0.22555171454132505 Iteration 16: convergence error = 0.10638022849980189 Iteration 17: convergence error = 0.0497399181676883 Iteration 18: convergence error = 0.02272126041680167 Iteration 19: convergence error = 0.010340911311232048 Iteration 20: convergence error = 0.004696319384038361 Iteration 21: convergence error = 0.002130189682702621 Iteration 22: convergence error = 0.0009655281724008091 Iteration 23: convergence error = 0.00043744859294747584 Iteration 24: convergence error = 0.00019814341203527874 Iteration 25: convergence error = 8.97360064300301e-5 Iteration 26: convergence error = 4.0636321500642225e-5 Iteration 27: convergence error = 1.84008540600189e-5 Iteration 28: convergence error = 8.331955541507341e-6 Iteration 29: convergence error = 3.7726545087934937e-6 Iteration 30: convergence error = 1.708208401396405e-6 Iteration 31: convergence error = 7.734529390290845e-7 Iteration 32: convergence error = 3.5020366340177134e-7 Iteration 33: convergence error = 1.5856448953854851e-7 Iteration 34: convergence error = 7.179778549470939e-8 Iteration 35: convergence error = 3.250897862017155e-8 Iteration 36: convergence error = 1.4711076801177114e-8 Iteration 37: convergence error = 6.6661414166446775e-9 Iteration 38: convergence error = 3.014974936377257e-9 Iteration 39: convergence error = 1.368789526168257e-9 Iteration 40: convergence error = 6.216396286617965e-10 Iteration 41: convergence error = 2.7466739993542433e-10 Iteration 42: convergence error = 1.305124897044152e-10 Iteration 43: convergence error = 5.911715561524034e-11 Iteration 44: convergence error = 2.7284841053187847e-11 Iteration 45: convergence error = 1.2278178473934531e-11 Converged after 45 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▍ | ETA: 0:00:02 Bin 1 progress: 75%|████████████████████████▊ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0019745726557444444 Iteration 10: d = 2.2906472179512524e-5 Iteration 20: d = 2.5270273505883396e-7 Iteration 30: d = 3.041095174577848e-9 Iteration 40: d = 3.7439973257799044e-11 Iteration 50: d = 4.670409853079058e-13 Iteration 60: d = 5.911957308559682e-15 Converged after 63 iterations. d = 1.6250075329566964e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10826.662023907922 Iteration 2: convergence error = 7351.1329558786165 Iteration 3: convergence error = 1729.8298507500685 Iteration 4: convergence error = 503.17200033798144 Iteration 5: convergence error = 156.40762806229804 Iteration 6: convergence error = 48.61367368150741 Iteration 7: convergence error = 15.084068406479673 Iteration 8: convergence error = 4.672559732509399 Iteration 9: convergence error = 1.4457306638746559 Iteration 10: convergence error = 0.44700214652630166 Iteration 11: convergence error = 0.13814980346433003 Iteration 12: convergence error = 0.0426861506757632 Iteration 13: convergence error = 0.013187567243676313 Iteration 14: convergence error = 0.004073886431797291 Iteration 15: convergence error = 0.0012584447699737211 Iteration 16: convergence error = 0.00038873048606546945 Iteration 17: convergence error = 0.00012007618715870194 Iteration 18: convergence error = 3.709041266120039e-5 Iteration 19: convergence error = 1.1456837000878295e-5 Iteration 20: convergence error = 3.538882538123289e-6 Iteration 21: convergence error = 1.0931057659036014e-6 Iteration 22: convergence error = 3.3749438443919644e-7 Iteration 23: convergence error = 1.0303438102710061e-7 Iteration 24: convergence error = 3.0688170227222145e-8 Iteration 25: convergence error = 9.093128028325737e-9 Iteration 26: convergence error = 2.689375833142549e-9 Iteration 27: convergence error = 8.035385690163821e-10 Iteration 28: convergence error = 2.355591277591884e-10 Iteration 29: convergence error = 7.09405867382884e-11 Iteration 30: convergence error = 2.3646862246096134e-11 Iteration 31: convergence error = 8.185452315956354e-12 Converged after 31 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 41%|█████████████▍ | ETA: 0:00:02 Bin 1 progress: 81%|██████████████████████████▊ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0019745726557444444 Iteration 10: d = 2.2906472179512524e-5 Iteration 20: d = 2.5270273505883396e-7 Iteration 30: d = 3.041095174577848e-9 Iteration 40: d = 3.7439973257799044e-11 Iteration 50: d = 4.670409853079058e-13 Iteration 60: d = 5.911957308559682e-15 Converged after 63 iterations. d = 1.6250075329566964e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 7541.707358894022 Iteration 2: convergence error = 5521.761519333015 Iteration 3: convergence error = 935.5225884976189 Iteration 4: convergence error = 170.1950928140011 Iteration 5: convergence error = 30.884681488348633 Iteration 6: convergence error = 5.620877839801324 Iteration 7: convergence error = 1.0244242271458006 Iteration 8: convergence error = 0.18754754972997034 Iteration 9: convergence error = 0.03429712921206374 Iteration 10: convergence error = 0.006268325076689507 Iteration 11: convergence error = 0.0011452944622760697 Iteration 12: convergence error = 0.0002092265972351015 Iteration 13: convergence error = 3.821927839453565e-5 Iteration 14: convergence error = 6.981173100939486e-6 Iteration 15: convergence error = 1.275189333682647e-6 Iteration 16: convergence error = 2.3292432160815224e-7 Iteration 17: convergence error = 4.253388397046365e-8 Iteration 18: convergence error = 7.76935848989524e-9 Iteration 19: convergence error = 1.426542439730838e-9 Iteration 20: convergence error = 2.576143742771819e-10 Iteration 21: convergence error = 4.729372449219227e-11 Iteration 22: convergence error = 8.640199666842818e-12 Converged after 22 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Spectral bin 11 results written: 16 volumes, 16 surfaces Spectral bin 12 results written: 16 volumes, 16 surfaces Spectral bin 13 results written: 16 volumes, 16 surfaces Spectral bin 14 results written: 16 volumes, 16 surfaces Spectral bin 15 results written: 16 volumes, 16 surfaces Spectral bin 16 results written: 16 volumes, 16 surfaces Spectral bin 17 results written: 16 volumes, 16 surfaces Spectral bin 18 results written: 16 volumes, 16 surfaces Spectral bin 19 results written: 16 volumes, 16 surfaces Spectral bin 20 results written: 16 volumes, 16 surfaces Uniform extinction detected across 50 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (50 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 41%|█████████████▍ | ETA: 0:00:02 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0019745726557444444 Iteration 10: d = 2.2906472179512524e-5 Iteration 20: d = 2.5270273505883396e-7 Iteration 30: d = 3.041095174577848e-9 Iteration 40: d = 3.7439973257799044e-11 Iteration 50: d = 4.670409853079058e-13 Iteration 60: d = 5.911957308559682e-15 Converged after 63 iterations. d = 1.6250075329566964e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 3298.483114418818 Iteration 2: convergence error = 2715.742669820555 Iteration 3: convergence error = 204.3761559691884 Iteration 4: convergence error = 19.344651581001813 Iteration 5: convergence error = 1.5999823734756211 Iteration 6: convergence error = 0.1303902375998864 Iteration 7: convergence error = 0.01063931371771067 Iteration 8: convergence error = 0.0008712399516175159 Iteration 9: convergence error = 7.141909071776672e-5 Iteration 10: convergence error = 5.857270274831354e-6 Iteration 11: convergence error = 4.804882409621049e-7 Iteration 12: convergence error = 3.942087134136048e-8 Iteration 13: convergence error = 3.2354057586846098e-9 Iteration 14: convergence error = 2.6447172388783566e-10 Iteration 15: convergence error = 2.2282620193436742e-11 Iteration 16: convergence error = 3.183231456205249e-12 Converged after 16 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Spectral bin 11 results written: 16 volumes, 16 surfaces Spectral bin 12 results written: 16 volumes, 16 surfaces Spectral bin 13 results written: 16 volumes, 16 surfaces Spectral bin 14 results written: 16 volumes, 16 surfaces Spectral bin 15 results written: 16 volumes, 16 surfaces Spectral bin 16 results written: 16 volumes, 16 surfaces Spectral bin 17 results written: 16 volumes, 16 surfaces Spectral bin 18 results written: 16 volumes, 16 surfaces Spectral bin 19 results written: 16 volumes, 16 surfaces Spectral bin 20 results written: 16 volumes, 16 surfaces Spectral bin 21 results written: 16 volumes, 16 surfaces Spectral bin 22 results written: 16 volumes, 16 surfaces Spectral bin 23 results written: 16 volumes, 16 surfaces Spectral bin 24 results written: 16 volumes, 16 surfaces Spectral bin 25 results written: 16 volumes, 16 surfaces Spectral bin 26 results written: 16 volumes, 16 surfaces Spectral bin 27 results written: 16 volumes, 16 surfaces Spectral bin 28 results written: 16 volumes, 16 surfaces Spectral bin 29 results written: 16 volumes, 16 surfaces Spectral bin 30 results written: 16 volumes, 16 surfaces Spectral bin 31 results written: 16 volumes, 16 surfaces Spectral bin 32 results written: 16 volumes, 16 surfaces Spectral bin 33 results written: 16 volumes, 16 surfaces Spectral bin 34 results written: 16 volumes, 16 surfaces Spectral bin 35 results written: 16 volumes, 16 surfaces Spectral bin 36 results written: 16 volumes, 16 surfaces Spectral bin 37 results written: 16 volumes, 16 surfaces Spectral bin 38 results written: 16 volumes, 16 surfaces Spectral bin 39 results written: 16 volumes, 16 surfaces Spectral bin 40 results written: 16 volumes, 16 surfaces Spectral bin 41 results written: 16 volumes, 16 surfaces Spectral bin 42 results written: 16 volumes, 16 surfaces Spectral bin 43 results written: 16 volumes, 16 surfaces Spectral bin 44 results written: 16 volumes, 16 surfaces Spectral bin 45 results written: 16 volumes, 16 surfaces Spectral bin 46 results written: 16 volumes, 16 surfaces Spectral bin 47 results written: 16 volumes, 16 surfaces Spectral bin 48 results written: 16 volumes, 16 surfaces Spectral bin 49 results written: 16 volumes, 16 surfaces Spectral bin 50 results written: 16 volumes, 16 surfaces ✓ 2D Spectral Participating Media tests complete ------------------------------------------------------------ Testing Spectral Consistency ------------------------------------------------------------ Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Spectral Surface Radiation Solver === Spectral mode: spectral_uniform Number of spectral bins: 20 Computing GERT matrices for each spectral band... (Using same view factor matrix F for all bands) Building matrices for spectral bin 1... Building matrices for spectral bin 2... Building matrices for spectral bin 3... Building matrices for spectral bin 4... Building matrices for spectral bin 5... Building matrices for spectral bin 6... Building matrices for spectral bin 7... Building matrices for spectral bin 8... Building matrices for spectral bin 9... Building matrices for spectral bin 10... Building matrices for spectral bin 11... Building matrices for spectral bin 12... Building matrices for spectral bin 13... Building matrices for spectral bin 14... Building matrices for spectral bin 15... Building matrices for spectral bin 16... Building matrices for spectral bin 17... Building matrices for spectral bin 18... Building matrices for spectral bin 19... Building matrices for spectral bin 20... Assembling block matrix structure... Setting up boundary conditions... Starting spectral iteration... Iteration 1: convergence error = 1885.2319049346352 Iteration 2: convergence error = 858.4060420534064 Iteration 3: convergence error = 199.12106737711963 Iteration 4: convergence error = 59.265629268140174 Iteration 5: convergence error = 17.985482911037252 Iteration 6: convergence error = 5.463033078096487 Iteration 7: convergence error = 1.660989611064224 Iteration 8: convergence error = 0.5052487627317532 Iteration 9: convergence error = 0.15371874094239502 Iteration 10: convergence error = 0.04677131697644654 Iteration 11: convergence error = 0.014231269026709015 Iteration 12: convergence error = 0.004330236512828378 Iteration 13: convergence error = 0.0013175920926187246 Iteration 14: convergence error = 0.0004009136245031186 Iteration 15: convergence error = 0.00012198903971238906 Iteration 16: convergence error = 3.711853855747904e-5 Iteration 17: convergence error = 1.1294342471046548e-5 Iteration 18: convergence error = 3.4366166801191866e-6 Iteration 19: convergence error = 1.045686303768889e-6 Iteration 20: convergence error = 3.1818046863918426e-7 Iteration 21: convergence error = 9.68161657510791e-8 Iteration 22: convergence error = 2.946035237982869e-8 Iteration 23: convergence error = 8.963752406998537e-9 Iteration 24: convergence error = 2.7299620342091657e-9 Iteration 25: convergence error = 8.292317943414673e-10 Iteration 26: convergence error = 2.5431745598325506e-10 Iteration 27: convergence error = 7.696598913753405e-11 Iteration 28: convergence error = 2.3646862246096134e-11 Iteration 29: convergence error = 9.094947017729282e-12 Converged after 29 iterations Energy conservation errors by band: [1.5428857128674637e-25, 8.401053096241687e-26, 1.1490863489811346e-25, 9.400697635337753e-26, 1.2440020930973268e-25, -3.2610768469290563e-19, 2.7533531010703882e-14, 1.7053025658242404e-12, 5.6701310313655995e-12, 2.6432189770275727e-12, 7.176481631177012e-13, 8.526512829121202e-14, 4.9960036108132044e-15, 2.636779683484747e-16, 2.0166160408230382e-17, 1.0062751413381088e-18, 3.560185356428231e-20, 1.2755125045567687e-21, 4.105530024647957e-23, 5.6284752489113644e-15] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 78%|█████████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015014994650382005 Iteration 10: d = 1.491736154089272e-5 Iteration 20: d = 1.7367827065529974e-7 Iteration 30: d = 2.374635769608289e-9 Iteration 40: d = 3.3308826267105215e-11 Iteration 50: d = 4.684356579350792e-13 Iteration 60: d = 6.575479762645111e-15 Converged after 63 iterations. d = 1.8361651171795766e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 6030.308938078225 Iteration 2: convergence error = 3610.5291727545696 Iteration 3: convergence error = 593.2808364691344 Iteration 4: convergence error = 105.32084669632081 Iteration 5: convergence error = 18.732893124430575 Iteration 6: convergence error = 3.3014269071688886 Iteration 7: convergence error = 0.5796349750514764 Iteration 8: convergence error = 0.10160692758358891 Iteration 9: convergence error = 0.017799638337464785 Iteration 10: convergence error = 0.0031173446673165017 Iteration 11: convergence error = 0.0005458990433453437 Iteration 12: convergence error = 9.559193631503149e-5 Iteration 13: convergence error = 1.673874976404477e-5 Iteration 14: convergence error = 2.931039489340037e-6 Iteration 15: convergence error = 5.132365004101302e-7 Iteration 16: convergence error = 8.986808097688481e-8 Iteration 17: convergence error = 1.5745854398119263e-8 Iteration 18: convergence error = 2.7418991521699354e-9 Iteration 19: convergence error = 4.836238076677546e-10 Iteration 20: convergence error = 8.321876521222293e-11 Iteration 21: convergence error = 1.432454155292362e-11 Converged after 21 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Spectral bin 11 results written: 25 volumes, 20 surfaces Spectral bin 12 results written: 25 volumes, 20 surfaces Spectral bin 13 results written: 25 volumes, 20 surfaces Spectral bin 14 results written: 25 volumes, 20 surfaces Spectral bin 15 results written: 25 volumes, 20 surfaces Spectral bin 16 results written: 25 volumes, 20 surfaces Spectral bin 17 results written: 25 volumes, 20 surfaces Spectral bin 18 results written: 25 volumes, 20 surfaces Spectral bin 19 results written: 25 volumes, 20 surfaces Spectral bin 20 results written: 25 volumes, 20 surfaces Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Spectral Surface Radiation Solver === Spectral mode: spectral_uniform Number of spectral bins: 20 Computing GERT matrices for each spectral band... (Using same view factor matrix F for all bands) Building matrices for spectral bin 1... Building matrices for spectral bin 2... Building matrices for spectral bin 3... Building matrices for spectral bin 4... Building matrices for spectral bin 5... Building matrices for spectral bin 6... Building matrices for spectral bin 7... Building matrices for spectral bin 8... Building matrices for spectral bin 9... Building matrices for spectral bin 10... Building matrices for spectral bin 11... Building matrices for spectral bin 12... Building matrices for spectral bin 13... Building matrices for spectral bin 14... Building matrices for spectral bin 15... Building matrices for spectral bin 16... Building matrices for spectral bin 17... Building matrices for spectral bin 18... Building matrices for spectral bin 19... Building matrices for spectral bin 20... Assembling block matrix structure... Setting up boundary conditions... Starting spectral iteration... Iteration 1: convergence error = 1885.492427513024 Iteration 2: convergence error = 871.304602661783 Iteration 3: convergence error = 207.75299581225158 Iteration 4: convergence error = 62.49550550490892 Iteration 5: convergence error = 18.97931530918413 Iteration 6: convergence error = 5.76621559404623 Iteration 7: convergence error = 1.7533061530655232 Iteration 8: convergence error = 0.5333443698997371 Iteration 9: convergence error = 0.16226812526508638 Iteration 10: convergence error = 0.04937275063014113 Iteration 11: convergence error = 0.015022831428041172 Iteration 12: convergence error = 0.0045710916562029524 Iteration 13: convergence error = 0.0013908789702554714 Iteration 14: convergence error = 0.00042321318846916256 Iteration 15: convergence error = 0.0001287742984459328 Iteration 16: convergence error = 3.9183143599075265e-5 Iteration 17: convergence error = 1.1922556950594299e-5 Iteration 18: convergence error = 3.6277691606301232e-6 Iteration 19: convergence error = 1.1038513321182108e-6 Iteration 20: convergence error = 3.3587832604098367e-7 Iteration 21: convergence error = 1.0220117019343888e-7 Iteration 22: convergence error = 3.1099034458748065e-8 Iteration 23: convergence error = 9.464656613999978e-9 Iteration 24: convergence error = 2.880597094190307e-9 Iteration 25: convergence error = 8.786855687503703e-10 Iteration 26: convergence error = 2.6830093702301383e-10 Iteration 27: convergence error = 8.185452315956354e-11 Iteration 28: convergence error = 2.6261659513693303e-11 Iteration 29: convergence error = 8.29913915367797e-12 Converged after 29 iterations Energy conservation errors by band: [9.81469183839774e-26, 1.2278462217584005e-25, 1.7064639101740927e-25, 1.3045866106183005e-25, 1.2440020930973268e-25, -2.642742795433417e-19, -7.993605777301127e-15, 8.526512829121202e-14, 7.013056801952189e-12, 4.575895218295045e-12, 5.826450433232822e-13, 8.79296635503124e-14, 5.218048215738236e-15, 3.642919299551295e-16, 2.0166160408230382e-17, 8.775261333554552e-19, 3.7613556814011274e-20, 1.2358078351542233e-21, 3.6499344528902346e-23, 4.998575315730623e-15] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Spectral Surface Radiation Solver === Spectral mode: spectral_uniform Number of spectral bins: 20 Computing GERT matrices for each spectral band... (Using same view factor matrix F for all bands) Building matrices for spectral bin 1... Building matrices for spectral bin 2... Building matrices for spectral bin 3... Building matrices for spectral bin 4... Building matrices for spectral bin 5... Building matrices for spectral bin 6... Building matrices for spectral bin 7... Building matrices for spectral bin 8... Building matrices for spectral bin 9... Building matrices for spectral bin 10... Building matrices for spectral bin 11... Building matrices for spectral bin 12... Building matrices for spectral bin 13... Building matrices for spectral bin 14... Building matrices for spectral bin 15... Building matrices for spectral bin 16... Building matrices for spectral bin 17... Building matrices for spectral bin 18... Building matrices for spectral bin 19... Building matrices for spectral bin 20... Assembling block matrix structure... Setting up boundary conditions... Starting spectral iteration... Iteration 1: convergence error = 4381.115813729987 Iteration 2: convergence error = 2115.1156110176394 Iteration 3: convergence error = 714.8959934551629 Iteration 4: convergence error = 296.01907471323966 Iteration 5: convergence error = 115.88799395378669 Iteration 6: convergence error = 44.11524923618913 Iteration 7: convergence error = 16.599581025126554 Iteration 8: convergence error = 6.215983404932786 Iteration 9: convergence error = 2.323124567003788 Iteration 10: convergence error = 0.867563639824084 Iteration 11: convergence error = 0.3238934304874874 Iteration 12: convergence error = 0.12090784413658184 Iteration 13: convergence error = 0.04513241840754745 Iteration 14: convergence error = 0.016846741615154315 Iteration 15: convergence error = 0.0062884074741305085 Iteration 16: convergence error = 0.0023472777563711134 Iteration 17: convergence error = 0.0008761691055951815 Iteration 18: convergence error = 0.00032704782211112615 Iteration 19: convergence error = 0.00012207719146317686 Iteration 20: convergence error = 4.556777093966957e-5 Iteration 21: convergence error = 1.700909024293651e-5 Iteration 22: convergence error = 6.348985607473878e-6 Iteration 23: convergence error = 2.3698869426880265e-6 Iteration 24: convergence error = 8.846079708746402e-7 Iteration 25: convergence error = 3.302000095573021e-7 Iteration 26: convergence error = 1.2325472198426723e-7 Iteration 27: convergence error = 4.600792635756079e-8 Iteration 28: convergence error = 1.7174670574604534e-8 Iteration 29: convergence error = 6.410573405446485e-9 Iteration 30: convergence error = 2.39469954976812e-9 Iteration 31: convergence error = 8.949427865445614e-10 Iteration 32: convergence error = 3.3423930290155113e-10 Iteration 33: convergence error = 1.248281478183344e-10 Iteration 34: convergence error = 4.774847184307873e-11 Iteration 35: convergence error = 1.864464138634503e-11 Converged after 35 iterations Energy conservation errors by band: [1.9952501103574007e-25, 1.4136387421560532e-25, 1.0339757656912846e-25, 1.6478988765704848e-25, 2.1729646950855903e-25, 9.486769009248164e-20, 5.240252676230739e-14, 2.9274360713316128e-12, 1.2093437362636905e-11, 5.6203930398623925e-12, 2.0961010704922955e-13, 1.84297022087776e-14, 1.582067810090848e-15, 1.723881454251952e-16, 7.101524229780054e-18, 4.641740550953566e-19, 1.4770137017746862e-20, 4.963083675318166e-22, 1.7991178323028352e-23, 9.298117831235686e-16] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 54×54 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.4655024587873898e-15 Converged after 4 iterations. d = 1.993453929734661e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 54×54 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.4655024587873898e-15 Converged after 4 iterations. d = 1.993453929734661e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Spectral Surface Radiation Solver === Spectral mode: spectral_uniform Number of spectral bins: 20 Computing GERT matrices for each spectral band... (Using same view factor matrix F for all bands) Building matrices for spectral bin 1... Building matrices for spectral bin 2... Building matrices for spectral bin 3... Building matrices for spectral bin 4... Building matrices for spectral bin 5... Building matrices for spectral bin 6... Building matrices for spectral bin 7... Building matrices for spectral bin 8... Building matrices for spectral bin 9... Building matrices for spectral bin 10... Building matrices for spectral bin 11... Building matrices for spectral bin 12... Building matrices for spectral bin 13... Building matrices for spectral bin 14... Building matrices for spectral bin 15... Building matrices for spectral bin 16... Building matrices for spectral bin 17... Building matrices for spectral bin 18... Building matrices for spectral bin 19... Building matrices for spectral bin 20... Assembling block matrix structure... Setting up boundary conditions... Starting spectral iteration... Iteration 1: convergence error = 1885.3621662238243 Iteration 2: convergence error = 864.8522700482431 Iteration 3: convergence error = 203.43244494690748 Iteration 4: convergence error = 60.87736397590345 Iteration 5: convergence error = 18.481426659698286 Iteration 6: convergence error = 5.6143306186266955 Iteration 7: convergence error = 1.7070587705935623 Iteration 8: convergence error = 0.5192694771476454 Iteration 9: convergence error = 0.1579851928424887 Iteration 10: convergence error = 0.04806952669207476 Iteration 11: convergence error = 0.014626287390910875 Iteration 12: convergence error = 0.004450431969985402 Iteration 13: convergence error = 0.0013541649049102489 Iteration 14: convergence error = 0.0004120419150694943 Iteration 15: convergence error = 0.00012537512975541176 Iteration 16: convergence error = 3.8148852013364376e-5 Iteration 17: convergence error = 1.1607843930505624e-5 Iteration 18: convergence error = 3.532008690854127e-6 Iteration 19: convergence error = 1.0747122587417834e-6 Iteration 20: convergence error = 3.270116621933994e-7 Iteration 21: convergence error = 9.950440471584443e-8 Iteration 22: convergence error = 3.027832917723572e-8 Iteration 23: convergence error = 9.214204510499258e-9 Iteration 24: convergence error = 2.8029489840264432e-9 Iteration 25: convergence error = 8.546976459911093e-10 Iteration 26: convergence error = 2.609112925711088e-10 Iteration 27: convergence error = 8.003553375601768e-11 Iteration 28: convergence error = 2.489741746103391e-11 Iteration 29: convergence error = 8.753886504564434e-12 Converged after 29 iterations Energy conservation errors by band: [1.4621063561728321e-25, 7.674038885990003e-26, 1.32882041762669e-25, 1.3116548043290807e-25, 1.126872025890111e-25, -1.5246593050577406e-19, -3.6637359812630166e-14, 2.5721647034515627e-12, 7.627676268384675e-12, 2.8421709430404007e-12, 4.973799150320701e-13, 7.194245199571014e-14, 4.385380947269368e-15, 4.198030811863873e-16, 2.3310346708438345e-17, 9.84252284709497e-19, 4.1081097941833566e-20, 9.880672416945916e-22, 2.4156258825962636e-23, 4.8210806556121566e-15] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === ✓ Spectral Consistency tests complete ================================================================================ TEST SUITE COMPLETE ================================================================================ Test Summary: | Pass Total Time RayTraceHeatTransfer.jl | 1394 1394 9m51.6s Testing RayTraceHeatTransfer tests passed Testing completed after 603.52s PkgEval succeeded after 664.42s