Package evaluation to test RayTraceHeatTransfer on Julia 1.14.0-DEV.1730 (9c1e1fa299*) started at 2026-02-17T16:11:40.742 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 8.92s ################################################################################ # 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 4.0s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1098.3 ms ✓ Measurements 3458.8 ms ✓ StatsBase 4548.8 ms ✓ RayTraceHeatTransfer 3 dependencies successfully precompiled in 10 seconds. 58 already precompiled. Precompilation completed after 25.38s ################################################################################ # Testing # Testing RayTraceHeatTransfer Status `/tmp/jl_wPhP8j/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_wPhP8j/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: 0:03:08 Bin 1 progress: 62%|████████████████████▍ | ETA: 0:00:02 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:04 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012364369852812286 Iteration 10: d = 1.0208419879023089e-5 Iteration 20: d = 1.5074104829665302e-7 Iteration 30: d = 2.4834133438675196e-9 Iteration 40: d = 4.186209084798017e-11 Iteration 50: d = 7.151446956654098e-13 Iteration 60: d = 1.2353507720266165e-14 Converged after 65 iterations. d = 1.6159676368598606e-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: 64%|█████████████████████ | 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 = 0.0013350260869835497 Iteration 10: d = 1.1305608464662123e-5 Iteration 20: d = 1.7250820623299132e-7 Iteration 30: d = 2.915517000598269e-9 Iteration 40: d = 5.022751357660083e-11 Iteration 50: d = 8.736155410785811e-13 Iteration 60: d = 1.5294408143248765e-14 Converged after 65 iterations. d = 2.02871775849469e-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: 65%|█████████████████████▋ | 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 = 0.0011516158354201197 Iteration 10: d = 1.0193179437314939e-5 Iteration 20: d = 1.6918059174251259e-7 Iteration 30: d = 2.9720345721067616e-9 Iteration 40: d = 5.1860632255827685e-11 Iteration 50: d = 9.028670632773074e-13 Iteration 60: d = 1.5731802211416938e-14 Converged after 65 iterations. d = 2.0887386563233887e-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: 64%|█████████████████████ | 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 = 0.0012995019231750707 Iteration 10: d = 1.0482803442895278e-5 Iteration 20: d = 1.3838240040310808e-7 Iteration 30: d = 2.09122628553738e-9 Iteration 40: d = 3.311264742417816e-11 Iteration 50: d = 5.423872743843529e-13 Iteration 60: d = 9.118669936761759e-15 Converged after 64 iterations. d = 1.771366200967535e-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: 66%|█████████████████████▉ | 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 = 0.0014256199333791985 Iteration 10: d = 1.9914621343501975e-5 Iteration 20: d = 2.8761197140912895e-7 Iteration 30: d = 4.425867069854884e-9 Iteration 40: d = 6.894998487096158e-11 Iteration 50: d = 1.0776045187477648e-12 Iteration 60: d = 1.6853594302217272e-14 Converged after 65 iterations. d = 2.11679557153467e-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: 64%|█████████████████████ | 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 = 0.0015205603427989951 Iteration 10: d = 1.8172540969508614e-5 Iteration 20: d = 2.6425839784175775e-7 Iteration 30: d = 4.078846392270606e-9 Iteration 40: d = 6.33453108305861e-11 Iteration 50: d = 9.850149191471025e-13 Iteration 60: d = 1.5329257112140548e-14 Converged after 65 iterations. d = 1.899512097370962e-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: 65%|█████████████████████▍ | 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 = 0.0013817863404979663 Iteration 10: d = 1.4271821504728141e-5 Iteration 20: d = 1.994043173694256e-7 Iteration 30: d = 3.075115180179152e-9 Iteration 40: d = 4.776801466260346e-11 Iteration 50: d = 7.426141594755532e-13 Iteration 60: d = 1.1594818276677843e-14 Converged after 64 iterations. d = 2.1715430545824627e-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: 65%|█████████████████████▍ | 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 = 0.0014590062001954144 Iteration 10: d = 1.6953394688032052e-5 Iteration 20: d = 2.4566291557828165e-7 Iteration 30: d = 3.820703707806742e-9 Iteration 40: d = 5.956689930622301e-11 Iteration 50: d = 9.279914628925455e-13 Iteration 60: d = 1.4395392615107254e-14 Converged after 65 iterations. d = 1.810659509668411e-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: 66%|█████████████████████▉ | 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 = 0.0014776462704846549 Iteration 10: d = 1.8182167361391452e-5 Iteration 20: d = 2.646237900199398e-7 Iteration 30: d = 4.0922385540725306e-9 Iteration 40: d = 6.358138658187132e-11 Iteration 50: d = 9.878938578722794e-13 Iteration 60: d = 1.532566809693448e-14 Converged after 65 iterations. d = 1.9216029903173656e-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: 66%|█████████████████████▉ | 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 = 0.0015739014838066592 Iteration 10: d = 1.819411617983339e-5 Iteration 20: d = 2.5507168405543e-7 Iteration 30: d = 3.881379320298822e-9 Iteration 40: d = 5.963165110260951e-11 Iteration 50: d = 9.183165541256753e-13 Iteration 60: d = 1.414507669438408e-14 Converged after 65 iterations. d = 1.7296648105767584e-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 = 0.004265641163009596 Iteration 10: d = 4.935922367150944e-5 Iteration 20: d = 6.13239684468152e-7 Iteration 30: d = 8.15585709412013e-9 Iteration 40: d = 1.0948532167267712e-10 Iteration 50: d = 1.4741516406269457e-12 Iteration 60: d = 1.9933742093146952e-14 Converged after 66 iterations. d = 1.5115388184731429e-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 = 0.004194529722801192 Iteration 10: d = 6.056915363381709e-5 Iteration 20: d = 8.39583407950715e-7 Iteration 30: d = 1.2570469009836584e-8 Iteration 40: d = 1.9305416013741204e-10 Iteration 50: d = 2.99666167305891e-12 Iteration 60: d = 4.675920843071308e-14 Converged after 68 iterations. d = 1.7020485464866504e-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 = 0.0019337005463075955 Iteration 10: d = 1.4088028825759584e-5 Iteration 20: d = 1.846692613586994e-7 Iteration 30: d = 3.0282975488817453e-9 Iteration 40: d = 5.127927906104995e-11 Iteration 50: d = 8.661020184632634e-13 Iteration 60: d = 1.4539439084428725e-14 Converged after 65 iterations. d = 1.8757910137175223e-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 = 0.0020351065595695297 Iteration 10: d = 1.6758033957905147e-5 Iteration 20: d = 2.2637014668602562e-7 Iteration 30: d = 3.644392081360464e-9 Iteration 40: d = 6.118401073153057e-11 Iteration 50: d = 1.0422847501094457e-12 Iteration 60: d = 1.7835054000066104e-14 Converged after 66 iterations. d = 1.5493626734220777e-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: 65%|█████████████████████▍ | 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 = 0.0014256199333791985 Iteration 10: d = 1.9914621343501975e-5 Iteration 20: d = 2.8761197140912895e-7 Iteration 30: d = 4.425867069854884e-9 Iteration 40: d = 6.894998487096158e-11 Iteration 50: d = 1.0776045187477648e-12 Iteration 60: d = 1.6853594302217272e-14 Converged after 65 iterations. d = 2.11679557153467e-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: 62%|████████████████████▌ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012711536177996078 Iteration 10: d = 1.017076361480918e-5 Iteration 20: d = 9.905798775163687e-8 Iteration 30: d = 1.1755321532002535e-9 Iteration 40: d = 1.493142942877713e-11 Iteration 50: d = 1.9572628988685492e-13 Iteration 60: d = 2.5943755270609884e-15 Converged after 61 iterations. d = 1.682970439342358e-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: 58%|███████████████████▏ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015103459807384906 Iteration 10: d = 1.644374669136104e-5 Iteration 20: d = 2.0953102492007957e-7 Iteration 30: d = 2.899094790829235e-9 Iteration 40: d = 4.0758810117574193e-11 Iteration 50: d = 5.763675193011674e-13 Iteration 60: d = 8.16026985462039e-15 Converged after 64 iterations. d = 1.5177070696228595e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.35812936454 Iteration 2: convergence error = 4826.730715615928 Iteration 3: convergence error = 1101.829842813913 Iteration 4: convergence error = 319.498618068822 Iteration 5: convergence error = 94.74986389961214 Iteration 6: convergence error = 28.268795632101956 Iteration 7: convergence error = 8.505634726213884 Iteration 8: convergence error = 2.549031774673722 Iteration 9: convergence error = 0.7620982137236751 Iteration 10: convergence error = 0.22753580670701012 Iteration 11: convergence error = 0.06788094436979009 Iteration 12: convergence error = 0.0202419361532975 Iteration 13: convergence error = 0.006034559559566333 Iteration 14: convergence error = 0.001798770399091154 Iteration 15: convergence error = 0.0005361291564440762 Iteration 16: convergence error = 0.00015978723422449548 Iteration 17: convergence error = 4.762143407788244e-5 Iteration 18: convergence error = 1.4192394019119092e-5 Iteration 19: convergence error = 4.229663090882241e-6 Iteration 20: convergence error = 1.2605207757587777e-6 Iteration 21: convergence error = 3.756629212148255e-7 Iteration 22: convergence error = 1.1181191439391114e-7 Iteration 23: convergence error = 3.241189006075729e-8 Iteration 24: convergence error = 9.346194929094054e-9 Iteration 25: convergence error = 2.680735633475706e-9 Iteration 26: convergence error = 7.710241334279999e-10 Iteration 27: convergence error = 2.2168933355715126e-10 Iteration 28: convergence error = 6.366462912410498e-11 Iteration 29: convergence error = 1.9326762412674725e-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: 62%|████████████████████▌ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012711536177996078 Iteration 10: d = 1.017076361480918e-5 Iteration 20: d = 9.905798775163687e-8 Iteration 30: d = 1.1755321532002535e-9 Iteration 40: d = 1.493142942877713e-11 Iteration 50: d = 1.9572628988685492e-13 Iteration 60: d = 2.5943755270609884e-15 Converged after 61 iterations. d = 1.682970439342358e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.76840744025 Iteration 2: convergence error = 4823.92619058983 Iteration 3: convergence error = 1093.784762145801 Iteration 4: convergence error = 318.4563829102501 Iteration 5: convergence error = 94.278107371842 Iteration 6: convergence error = 28.075767989322685 Iteration 7: convergence error = 8.432434916738657 Iteration 8: convergence error = 2.522615982957859 Iteration 9: convergence error = 0.7528845431136233 Iteration 10: convergence error = 0.22439770586288432 Iteration 11: convergence error = 0.0668304603186698 Iteration 12: convergence error = 0.019894859267196807 Iteration 13: convergence error = 0.005921058633020948 Iteration 14: convergence error = 0.0017619604659557808 Iteration 15: convergence error = 0.0005242730496775039 Iteration 16: convergence error = 0.00015599061384818924 Iteration 17: convergence error = 4.641171312869119e-5 Iteration 18: convergence error = 1.3808609764964785e-5 Iteration 19: convergence error = 4.108355369680794e-6 Iteration 20: convergence error = 1.222311311721569e-6 Iteration 21: convergence error = 3.6365827327244915e-7 Iteration 22: convergence error = 1.0803978511830792e-7 Iteration 23: convergence error = 3.12422798742773e-8 Iteration 24: convergence error = 8.991946742753498e-9 Iteration 25: convergence error = 2.5775079848244786e-9 Iteration 26: convergence error = 7.4078343459405e-10 Iteration 27: convergence error = 2.1123014448676258e-10 Iteration 28: convergence error = 5.95719029661268e-11 Iteration 29: convergence error = 1.6370904631912708e-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: 9:41:48 Bin 1 ray tracing: 11%|███▍ | ETA: 0:00:36 Bin 1 ray tracing: 22%|██████▊ | ETA: 0:00:20 Bin 1 ray tracing: 35%|██████████▍ | ETA: 0:00:13 Bin 1 ray tracing: 48%|██████████████▍ | ETA: 0:00:08 Bin 1 ray tracing: 61%|██████████████████▍ | ETA: 0:00:06 Bin 1 ray tracing: 74%|██████████████████████▎ | ETA: 0:00:03 Bin 1 ray tracing: 87%|██████████████████████████▏ | ETA: 0:00:02 Bin 1 ray tracing: 99%|██████████████████████████████| ETA: 0:00:00 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 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: 12%|███▋ | ETA: 0:00:07 Bin 2 ray tracing: 24%|███████▎ | ETA: 0:00:07 Bin 2 ray tracing: 35%|██████████▋ | ETA: 0:00:06 Bin 2 ray tracing: 46%|█████████████▉ | ETA: 0:00:05 Bin 2 ray tracing: 59%|█████████████████▋ | ETA: 0:00:04 Bin 2 ray tracing: 71%|█████████████████████▍ | ETA: 0:00:02 Bin 2 ray tracing: 84%|█████████████████████████▎ | ETA: 0:00:01 Bin 2 ray tracing: 97%|█████████████████████████████▏| ETA: 0:00:00 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:08 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: 13%|███▊ | ETA: 0:00:07 Bin 3 ray tracing: 25%|███████▌ | ETA: 0:00:06 Bin 3 ray tracing: 38%|███████████▍ | ETA: 0:00:05 Bin 3 ray tracing: 51%|███████████████▍ | ETA: 0:00:04 Bin 3 ray tracing: 64%|███████████████████▎ | ETA: 0:00:03 Bin 3 ray tracing: 77%|███████████████████████▎ | ETA: 0:00:02 Bin 3 ray tracing: 90%|███████████████████████████▏ | ETA: 0:00:01 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 13%|████ | ETA: 0:00:07 Bin 4 ray tracing: 27%|████████ | ETA: 0:00:05 Bin 4 ray tracing: 40%|████████████▏ | ETA: 0:00:04 Bin 4 ray tracing: 54%|████████████████▍ | ETA: 0:00:03 Bin 4 ray tracing: 68%|████████████████████▌ | ETA: 0:00:02 Bin 4 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:01 Bin 4 ray tracing: 96%|████████████████████████████▋ | ETA: 0:00:00 Bin 4 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 4 Energy per ray: 0.0001853335835185918 Processing spectral bin 5/10 Bin 5 ray tracing: 14%|████▏ | ETA: 0:00:06 Bin 5 ray tracing: 27%|████████▎ | ETA: 0:00:05 Bin 5 ray tracing: 41%|████████████▍ | ETA: 0:00:04 Bin 5 ray tracing: 55%|████████████████▌ | ETA: 0:00:03 Bin 5 ray tracing: 69%|████████████████████▋ | ETA: 0:00:02 Bin 5 ray tracing: 83%|████████████████████████▊ | ETA: 0:00:01 Bin 5 ray tracing: 95%|████████████████████████████▌ | ETA: 0:00:00 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 5 Energy per ray: 0.04303963948070305 Processing spectral bin 6/10 Bin 6 ray tracing: 13%|███▉ | ETA: 0:00:07 Bin 6 ray tracing: 27%|████████▏ | ETA: 0:00:05 Bin 6 ray tracing: 41%|████████████▍ | ETA: 0:00:04 Bin 6 ray tracing: 55%|████████████████▌ | ETA: 0:00:03 Bin 6 ray tracing: 69%|████████████████████▋ | ETA: 0:00:02 Bin 6 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:01 Bin 6 ray tracing: 95%|████████████████████████████▋ | ETA: 0:00:00 Bin 6 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 6 Energy per ray: 0.013246116789219251 Processing spectral bin 7/10 Bin 7 ray tracing: 13%|████ | ETA: 0:00:07 Bin 7 ray tracing: 26%|███████▉ | ETA: 0:00:06 Bin 7 ray tracing: 38%|███████████▍ | ETA: 0:00:05 Bin 7 ray tracing: 51%|███████████████▌ | ETA: 0:00:04 Bin 7 ray tracing: 65%|███████████████████▌ | ETA: 0:00:03 Bin 7 ray tracing: 78%|███████████████████████▍ | ETA: 0:00:02 Bin 7 ray tracing: 92%|███████████████████████████▌ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 14%|████▏ | ETA: 0:00:06 Bin 8 ray tracing: 27%|████████▎ | ETA: 0:00:05 Bin 8 ray tracing: 41%|████████████▎ | ETA: 0:00:04 Bin 8 ray tracing: 55%|████████████████▌ | ETA: 0:00:03 Bin 8 ray tracing: 69%|████████████████████▋ | ETA: 0:00:02 Bin 8 ray tracing: 81%|████████████████████████▍ | ETA: 0:00:01 Bin 8 ray tracing: 94%|████████████████████████████▏ | ETA: 0:00:00 Bin 8 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 8 Energy per ray: 1.0195075180910974e-6 Processing spectral bin 9/10 Bin 9 ray tracing: 14%|████▏ | ETA: 0:00:06 Bin 9 ray tracing: 27%|████████▎ | ETA: 0:00:05 Bin 9 ray tracing: 42%|████████████▌ | ETA: 0:00:04 Bin 9 ray tracing: 56%|████████████████▊ | ETA: 0:00:03 Bin 9 ray tracing: 70%|████████████████████▉ | ETA: 0:00:02 Bin 9 ray tracing: 84%|█████████████████████████ | ETA: 0:00:01 Bin 9 ray tracing: 97%|█████████████████████████████▏| ETA: 0:00:00 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:07 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 14%|████ | ETA: 0:00:06 Bin 10 ray tracing: 28%|████████ | ETA: 0:00:05 Bin 10 ray tracing: 42%|████████████▏ | ETA: 0:00:04 Bin 10 ray tracing: 56%|████████████████▏ | ETA: 0:00:03 Bin 10 ray tracing: 70%|████████████████████▎ | ETA: 0:00:02 Bin 10 ray tracing: 83%|████████████████████████▎ | ETA: 0:00:01 Bin 10 ray tracing: 97%|████████████████████████████▏| ETA: 0:00:00 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:07 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: 33%|███████████ | ETA: 0:00:02 Bin 1 progress: 69%|██████████████████████▊ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 2/10 Using 1 threads for spectral bin 2 Bin 2 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 2 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 2 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 3/10 Using 1 threads for spectral bin 3 Bin 3 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 3 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 3 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 4/10 Using 1 threads for spectral bin 4 Bin 4 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 4 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 4 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 5/10 Using 1 threads for spectral bin 5 Bin 5 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 5 progress: 71%|███████████████████████▌ | ETA: 0:00:01 Bin 5 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 6/10 Using 1 threads for spectral bin 6 Bin 6 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 6 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 6 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 7/10 Using 1 threads for spectral bin 7 Bin 7 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 7 progress: 71%|███████████████████████▌ | ETA: 0:00:01 Bin 7 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 8/10 Using 1 threads for spectral bin 8 Bin 8 progress: 36%|███████████▊ | ETA: 0:00:02 Bin 8 progress: 69%|██████████████████████▊ | ETA: 0:00:01 Bin 8 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 9/10 Using 1 threads for spectral bin 9 Bin 9 progress: 33%|███████████ | ETA: 0:00:02 Bin 9 progress: 71%|███████████████████████▌ | ETA: 0:00:01 Bin 9 progress: 100%|█████████████████████████████████| Time: 0:00:02 Computing F matrix for spectral bin 10/10 Using 1 threads for spectral bin 10 Bin 10 progress: 36%|███████████▍ | ETA: 0:00:02 Bin 10 progress: 69%|██████████████████████ | ETA: 0:00:01 Bin 10 progress: 100%|████████████████████████████████| Time: 0:00:03 Smoothing F matrix for spectral bin 1/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012711536177996078 Iteration 10: d = 1.017076361480918e-5 Iteration 20: d = 9.905798775163687e-8 Iteration 30: d = 1.1755321532002535e-9 Iteration 40: d = 1.493142942877713e-11 Iteration 50: d = 1.9572628988685492e-13 Iteration 60: d = 2.5943755270609884e-15 Converged after 61 iterations. d = 1.682970439342358e-15 Smoothing F matrix for spectral bin 2/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014905207815686498 Iteration 10: d = 1.626246070330717e-5 Iteration 20: d = 2.073078154672041e-7 Iteration 30: d = 2.863434635955653e-9 Iteration 40: d = 4.017968690267379e-11 Iteration 50: d = 5.670737555591846e-13 Iteration 60: d = 8.035042034270518e-15 Converged after 64 iterations. d = 1.4562383947150817e-15 Smoothing F matrix for spectral bin 3/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013008764872800196 Iteration 10: d = 1.1364508917403865e-5 Iteration 20: d = 9.449007531443905e-8 Iteration 30: d = 1.1247264381703645e-9 Iteration 40: d = 1.547571083584872e-11 Iteration 50: d = 2.195063280989019e-13 Iteration 60: d = 3.163452602930067e-15 Converged after 61 iterations. d = 1.988160686974509e-15 Smoothing F matrix for spectral bin 4/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001128688833712004 Iteration 10: d = 9.970955261585247e-6 Iteration 20: d = 1.0224308783340953e-7 Iteration 30: d = 1.2792316587273029e-9 Iteration 40: d = 1.7166145097927872e-11 Iteration 50: d = 2.375752578365022e-13 Iteration 60: d = 3.3169713483347818e-15 Converged after 61 iterations. d = 2.1446779566397858e-15 Smoothing F matrix for spectral bin 5/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0010687605111345624 Iteration 10: d = 8.565106313011304e-6 Iteration 20: d = 1.0169268521207146e-7 Iteration 30: d = 1.4105434771280214e-9 Iteration 40: d = 1.9720827390332443e-11 Iteration 50: d = 2.7586121859659444e-13 Iteration 60: d = 3.852556814055512e-15 Converged after 62 iterations. d = 1.6419108533654766e-15 Smoothing F matrix for spectral bin 6/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016410706957443474 Iteration 10: d = 1.2349245849348712e-5 Iteration 20: d = 1.0600200525049337e-7 Iteration 30: d = 1.2541394057607116e-9 Iteration 40: d = 1.6399715227859424e-11 Iteration 50: d = 2.209702726077993e-13 Iteration 60: d = 2.9773956327278804e-15 Converged after 61 iterations. d = 1.960547858035053e-15 Smoothing F matrix for spectral bin 7/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001301809198245863 Iteration 10: d = 1.1645513034096552e-5 Iteration 20: d = 1.2925968934832575e-7 Iteration 30: d = 1.674855617573498e-9 Iteration 40: d = 2.2720253304526947e-11 Iteration 50: d = 3.1454018096072967e-13 Iteration 60: d = 4.379892215517501e-15 Converged after 62 iterations. d = 1.8793153662638632e-15 Smoothing F matrix for spectral bin 8/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014305075118254424 Iteration 10: d = 1.823320424278645e-5 Iteration 20: d = 2.3550670205305544e-7 Iteration 30: d = 3.1651795612801415e-9 Iteration 40: d = 4.295936826909729e-11 Iteration 50: d = 5.863289595781533e-13 Iteration 60: d = 8.011080402473847e-15 Converged after 63 iterations. d = 2.1782541416741375e-15 Smoothing F matrix for spectral bin 9/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001422456533877388 Iteration 10: d = 1.2929324711129354e-5 Iteration 20: d = 1.2517378622168607e-7 Iteration 30: d = 1.399322514799937e-9 Iteration 40: d = 1.6847757501069283e-11 Iteration 50: d = 2.1363609003727364e-13 Iteration 60: d = 2.7960798399525306e-15 Converged after 61 iterations. d = 1.799081940850828e-15 Smoothing F matrix for spectral bin 10/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015135649588201704 Iteration 10: d = 2.133003831688238e-5 Iteration 20: d = 2.983368714093667e-7 Iteration 30: d = 4.242240795343266e-9 Iteration 40: d = 6.022933554132115e-11 Iteration 50: d = 8.53881120559474e-13 Iteration 60: d = 1.2108985366707455e-14 Converged after 64 iterations. d = 2.1822063502935425e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8650.730040383654 Iteration 2: convergence error = 4815.244198420885 Iteration 3: convergence error = 1095.440492588277 Iteration 4: convergence error = 324.32542843341116 Iteration 5: convergence error = 96.89107617416244 Iteration 6: convergence error = 29.07814143534779 Iteration 7: convergence error = 8.732268155324618 Iteration 8: convergence error = 2.6210598925636077 Iteration 9: convergence error = 0.7863471096525245 Iteration 10: convergence error = 0.23584085188122117 Iteration 11: convergence error = 0.07072170976289271 Iteration 12: convergence error = 0.021205618707199392 Iteration 13: convergence error = 0.006360027726259432 Iteration 14: convergence error = 0.0019072647212396987 Iteration 15: convergence error = 0.0005719083937947289 Iteration 16: convergence error = 0.00017148295751212572 Iteration 17: convergence error = 5.141659175933455e-5 Iteration 18: convergence error = 1.541624283163401e-5 Iteration 19: convergence error = 4.622209871740779e-6 Iteration 20: convergence error = 1.3858580132364295e-6 Iteration 21: convergence error = 4.1551106733095367e-7 Iteration 22: convergence error = 1.244588929694146e-7 Iteration 23: convergence error = 3.643344825832173e-8 Iteration 24: convergence error = 1.0566964192548767e-8 Iteration 25: convergence error = 3.055902197957039e-9 Iteration 26: convergence error = 8.817551133688539e-10 Iteration 27: convergence error = 2.5511326384730637e-10 Iteration 28: convergence error = 7.389644451905042e-11 Iteration 29: convergence error = 2.0691004465334117e-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 = 967.2324314650165 K, F = -7466.121660700543, relative_change = 0.03276756853498348 Iter 2: T = 936.5362813161785 K, F = -6328.977309344403, relative_change = 0.03173606379424657 Iter 3: T = 907.8804180189812 K, F = -5363.5280894236, relative_change = 0.03059770760501156 Iter 5: T = 856.5528375599474 K, F = -3848.299968618528, relative_change = 0.028004850712917063 Iter 10: T = 760.9661647611476 K, F = -1666.630733597763, relative_change = 0.02010876886505255 Iter 15: T = 704.8774878672411 K, F = -713.6952606012604, relative_change = 0.012084032390933705 Iter 20: T = 675.9764842775387 K, F = -302.52657189737585, relative_change = 0.006201408987490279 Iter 25: T = 662.4824609504547 K, F = -127.36735080588063, relative_change = 0.002868290845748247 Iter 30: T = 656.5380282651727 K, F = -53.428052401448056, relative_change = 0.0012554420666218706 Iter 35: T = 653.9941499584938 K, F = -22.37360894251974, relative_change = 0.0005354979416211994 Iter 40: T = 652.9197251852447 K, F = -9.362131635676946, relative_change = 0.00022583452095176898 Iter 45: T = 652.4685107509164 K, F = -3.9162749112413597, relative_change = 9.47800919238465e-5 Iter 50: T = 652.2794767057009 K, F = -1.6379942641941516, relative_change = 3.9696780730899466e-5 Iter 55: T = 652.2003623748182 K, F = -0.6850570141949395, relative_change = 1.6611941772425436e-5 Iter 60: T = 652.1672656529711 K, F = -0.28650396832544134, relative_change = 6.949111003046085e-6 Iter 65: T = 652.1534224299912 K, F = -0.11982024595736285, relative_change = 2.9065159017381088e-6 Iter 70: T = 652.1476327176603 K, F = -0.05011040907949044, relative_change = 1.215594709513989e-6 Iter 75: T = 652.1452113363929 K, F = -0.020956797975157593, relative_change = 5.083858533432831e-7 Iter 80: T = 652.1441986763101 K, F = -0.008764387815800578, relative_change = 2.1261471934061168e-7 Iter 85: T = 652.1437751681049 K, F = -0.0036653724625143602, relative_change = 8.891830933306534e-8 Iter 90: T = 652.1435980516244 K, F = -0.0015329026790260047, relative_change = 3.7186750386895335e-8 Iter 95: T = 652.1435239793462 K, F = -0.0006410782325612097, relative_change = 1.555195214327272e-8 Iter 100: T = 652.1434930014259 K, F = -0.000268106576589322, relative_change = 6.504013675110964e-9 Iter 105: T = 652.1434800460881 K, F = -0.00011212537322158322, relative_change = 2.720056475347932e-9 Iter 110: T = 652.1434746280108 K, F = -4.6892169840218045e-5, relative_change = 1.137560140024426e-9 Iter 115: T = 652.1434723621062 K, F = -1.9610866240138414e-5, relative_change = 4.757412632254958e-10 Iter 120: T = 652.1434714144777 K, F = -8.201497559867654e-6, relative_change = 1.989606572543872e-10 Iter 125: T = 652.1434710181682 K, F = -3.429963410850334e-6, relative_change = 8.32077034193202e-11 Iter 130: T = 652.1434708524267 K, F = -1.4344504551400128e-6, relative_change = 3.4798426072956944e-11 Iter 135: T = 652.1434707831119 K, F = -5.999045610827203e-7, relative_change = 1.4553123431644115e-11 Iter 140: T = 652.1434707541235 K, F = -2.5088744048940015e-7, relative_change = 6.086294598384886e-12 Iter 145: T = 652.1434707420002 K, F = -1.0492337959577824e-7, relative_change = 2.5453430322733626e-12 Iter 150: T = 652.1434707369302 K, F = -4.388109198227852e-8, relative_change = 1.064514240392114e-12 Iter 155: T = 652.1434707348099 K, F = -1.8352479813632527e-8, relative_change = 4.452139914000524e-13 Converged in 159 iterations to T = 652.1434707340445 K Iter 1: T = 970.444763247988 K, F = -6734.1888082341, relative_change = 0.029555236752012003 Iter 2: T = 943.0557760735758 K, F = -5703.545198505511, relative_change = 0.028223128416648743 Iter 3: T = 917.7876672312786 K, F = -4828.8840835669835, relative_change = 0.02679386467203583 Iter 5: T = 873.3949416662728 K, F = -3457.2524286614967, relative_change = 0.023690097603354443 Iter 10: T = 794.70741585862 K, F = -1487.8208402981606, relative_change = 0.015384838266329526 Iter 15: T = 751.9188586291306 K, F = -633.2299457735413, relative_change = 0.008404384480248902 Iter 20: T = 731.1788610361621 K, F = -267.2623773456665, relative_change = 0.004037355425328188 Iter 25: T = 721.8518372022506 K, F = -112.25286556059109, relative_change = 0.001801153720401976 Iter 30: T = 717.8208002963481 K, F = -47.0342855294565, relative_change = 0.0007749597529294344 Iter 35: T = 716.1107806275899 K, F = -19.686207834987485, relative_change = 0.0003280544720693702 Iter 40: T = 715.3912891597103 K, F = -8.235818142106364, relative_change = 0.00013790085991879502 Iter 45: T = 715.0896217394564 K, F = -3.444811261663569, relative_change = 5.779594624561289e-5 Iter 50: T = 714.9633259716501 K, F = -1.4407477244706888, relative_change = 2.4192739328410587e-5 Iter 55: T = 714.9104839426712 K, F = -0.6025530475065828, relative_change = 1.0121507665217673e-5 Iter 60: T = 714.8883806387571 K, F = -0.2519975297922557, relative_change = 4.2336030260552056e-6 Iter 65: T = 714.8791360494012 K, F = -0.10538883985778735, relative_change = 1.7706601439000767e-6 Iter 70: T = 714.8752697251375 K, F = -0.044074952486079955, relative_change = 7.405316483910478e-7 Iter 75: T = 714.8736527600148 K, F = -0.01843268566910572, relative_change = 3.097027525176308e-7 Iter 80: T = 714.8729765220173 K, F = -0.00770877175808804, relative_change = 1.2952201472035966e-7 Iter 85: T = 714.8726937105333 K, F = -0.0032239008435583916, relative_change = 5.416776266444388e-8 Iter 90: T = 714.8725754352748 K, F = -0.0013482739091063012, relative_change = 2.265362434801073e-8 Iter 95: T = 714.8725259711287 K, F = -0.0005638642649946624, relative_change = 9.474019607047712e-9 Iter 100: T = 714.8725052846283 K, F = -0.0002358147729283333, relative_change = 3.9621487454604316e-9 Iter 105: T = 714.8724966332861 K, F = -9.862055388365487e-5, relative_change = 1.657018012523164e-9 Iter 110: T = 714.8724930151914 K, F = -4.124429300322863e-5, relative_change = 6.929847316372252e-10 Iter 115: T = 714.8724915020609 K, F = -1.7248855641360805e-5, relative_change = 2.8981448941800994e-10 Iter 120: T = 714.8724908692517 K, F = -7.213676181061501e-6, relative_change = 1.2120386021663019e-10 Iter 125: T = 714.8724906046033 K, F = -3.016845208647645e-6, relative_change = 5.068889653913327e-11 Iter 130: T = 714.8724904939243 K, F = -1.2616807381071737e-6, relative_change = 2.1198702625893816e-11 Iter 135: T = 714.872490447637 K, F = -5.276507556439824e-7, relative_change = 8.865564104160118e-12 Iter 140: T = 714.8724904282791 K, F = -2.2067002569681193e-7, relative_change = 3.707687780236923e-12 Iter 145: T = 714.8724904201833 K, F = -9.2286854269652e-8, relative_change = 1.5505995469482888e-12 Iter 150: T = 714.8724904167976 K, F = -3.859684816198694e-8, relative_change = 6.485024952750949e-13 Iter 155: T = 714.8724904153818 K, F = -1.6142448266975862e-8, relative_change = 2.712246849055353e-13 Converged in 157 iterations to T = 714.8724904150821 K Iter 1: T = 974.4486907742986 K, F = -5821.890112645895, relative_change = 0.025551309225701428 Iter 2: T = 951.0863706429052 K, F = -4925.480199990937, relative_change = 0.0239749104827979 Iter 3: T = 929.8380251189707 K, F = -4165.290258373401, relative_change = 0.022341131341805796 Iter 5: T = 893.3286795597919 K, F = -2974.7333341148383, relative_change = 0.018986061771589003 Iter 10: T = 831.85373140426 K, F = -1271.9575995087455, relative_change = 0.011146223271940009 Iter 15: T = 800.6627393011662 K, F = -538.5642186732873, relative_change = 0.005622746077886517 Iter 20: T = 786.2436561367803 K, F = -226.59632027628473, relative_change = 0.002575397093956152 Iter 25: T = 779.9247492422919 K, F = -95.02282129712569, relative_change = 0.0011219264026373964 Iter 30: T = 777.2271682274757 K, F = -39.786306131303725, relative_change = 0.0004775383810168879 Iter 35: T = 776.0890367772289 K, F = -16.647385643411855, relative_change = 0.00020120842765885318 Iter 40: T = 775.6112849571306 K, F = -6.963592321736151, relative_change = 8.441233705731735e-5 Iter 45: T = 775.4111715059264 K, F = -2.912512947507217, relative_change = 3.534873486778846e-5 Iter 50: T = 775.3274269603952 K, F = -1.2180924297111266, relative_change = 1.479140950414672e-5 Iter 55: T = 775.2923944112201 K, F = -0.5094286284789046, relative_change = 6.187370073688679e-6 Iter 60: T = 775.2777417043862 K, F = -0.2130505055219153, relative_change = 2.587881545890867e-6 Iter 65: T = 775.271613474136 K, F = -0.08910050525229185, relative_change = 1.082326610102909e-6 Iter 70: T = 775.269050523763 K, F = -0.037262937263308316, relative_change = 4.526495474440862e-7 Iter 75: T = 775.2679786583371 K, F = -0.015583812701044808, relative_change = 1.8930478162545285e-7 Iter 80: T = 775.2675303898461 K, F = -0.006517337863127137, relative_change = 7.916975397297049e-8 Iter 85: T = 775.2673429183352 K, F = -0.0027256287505060817, relative_change = 3.310977742370098e-8 Iter 90: T = 775.2672645154624 K, F = -0.0011398905332224984, relative_change = 1.3846911472457928e-8 Iter 95: T = 775.2672317264364 K, F = -0.0004767158416612016, relative_change = 5.790945002055868e-9 Iter 100: T = 775.2672180136726 K, F = -0.00019936825886879284, relative_change = 2.4218425707672204e-9 Iter 105: T = 775.2672122788307 K, F = -8.337818541692688e-5, relative_change = 1.0128435046465968e-9 Iter 110: T = 775.2672098804514 K, F = -3.4869753770094825e-5, relative_change = 4.2358326651354413e-10 Iter 115: T = 775.2672088774206 K, F = -1.4582947087782294e-5, relative_change = 1.7714757728474666e-10 Iter 120: T = 775.267208457941 K, F = -6.098762552197989e-6, relative_change = 7.40852316638542e-11 Iter 125: T = 775.2672082825097 K, F = -2.550575621929063e-6, relative_change = 3.0983332178144367e-11 Iter 130: T = 775.2672082091422 K, F = -1.066680622385796e-6, relative_change = 1.2957592702648126e-11 Iter 135: T = 775.2672081784591 K, F = -4.460993432431337e-7, relative_change = 5.419029346219759e-12 Iter 140: T = 775.267208165627 K, F = -1.8656562439378632e-7, relative_change = 2.2663216366010103e-12 Iter 145: T = 775.2672081602606 K, F = -7.802483104057956e-8, relative_change = 9.47813207067534e-13 Iter 150: T = 775.2672081580162 K, F = -3.2630335877747996e-8, relative_change = 3.963797535212927e-13 Converged in 154 iterations to T = 775.267208157206 K Iter 1: T = 970.3386120495124 K, F = -6758.37545978262, relative_change = 0.02966138795048759 Iter 2: T = 942.8414386254849 K, F = -5724.19560338262, relative_change = 0.028337709210549757 Iter 3: T = 917.4637535491605 K, F = -4846.519185424177, relative_change = 0.026916174911999123 Iter 5: T = 872.8510043032722 K, F = -3470.117127012488, relative_change = 0.02382445315204628 Iter 10: T = 793.6545524074527 K, F = -1493.6419349937087, relative_change = 0.015518700140713803 Iter 15: T = 750.4957595627775 K, F = -635.8143756765747, relative_change = 0.00849959966440643 Iter 20: T = 729.5427674853914 K, F = -268.38246515740406, relative_change = 0.004089898568329827 Iter 25: T = 720.111273426092 K, F = -112.7297555879593, relative_change = 0.0018261713891917827 Iter 30: T = 716.0332475879075 K, F = -47.23535633516699, relative_change = 0.0007860374586173831 Iter 35: T = 714.3029442513018 K, F = -19.77059550192806, relative_change = 0.000332801884739692 Iter 40: T = 713.5748548258267 K, F = -8.271163054127438, relative_change = 0.00013990687297919642 Iter 45: T = 713.2695711653728 K, F = -3.459602264120085, relative_change = 5.8638526966878516e-5 Iter 50: T = 713.1417594366465 K, F = -1.4469351368744108, relative_change = 2.454575670326667e-5 Iter 55: T = 713.088282782114 K, F = -0.6051409842342537, relative_change = 1.0269255917520878e-5 Iter 60: T = 713.0659139594349 K, F = -0.25307988605715426, relative_change = 4.295412744762953e-6 Iter 65: T = 713.056558307575 K, F = -0.1058415029599099, relative_change = 1.7965131418414944e-6 Iter 70: T = 713.0526455322545 K, F = -0.044264263138328985, relative_change = 7.513442818276047e-7 Iter 75: T = 713.0510091401518 K, F = -0.018511857912548835, relative_change = 3.1422483004622737e-7 Iter 80: T = 713.0503247774554 K, F = -0.007741882581633774, relative_change = 1.314132199121694e-7 Iter 85: T = 713.0500385681074 K, F = -0.0032377481952263754, relative_change = 5.495869050406125e-8 Iter 90: T = 713.0499188718184 K, F = -0.0013540650391583586, relative_change = 2.2984400391579448e-8 Iter 95: T = 713.0498688133795 K, F = -0.0005662861832063104, relative_change = 9.612354166975902e-9 Iter 100: T = 713.0498478783388 K, F = -0.00023682764643251364, relative_change = 4.0200018996941015e-9 Iter 105: T = 713.0498391230542 K, F = -9.904415152939272e-5, relative_change = 1.681212926682559e-9 Iter 110: T = 713.0498354614896 K, F = -4.142144818497506e-5, relative_change = 7.031033610540492e-10 Iter 115: T = 713.0498339301794 K, F = -1.7322945407682866e-5, relative_change = 2.9404624410142026e-10 Iter 120: T = 713.0498332897672 K, F = -7.244662951766401e-6, relative_change = 1.2297365659953563e-10 Iter 125: T = 713.0498330219391 K, F = -3.029804329868213e-6, relative_change = 5.142904788972422e-11 Iter 130: T = 713.0498329099303 K, F = -1.2671010354292633e-6, relative_change = 2.1508253598602073e-11 Iter 135: T = 713.0498328630869 K, F = -5.299174002937335e-7, relative_change = 8.995018958005394e-12 Iter 140: T = 713.0498328434963 K, F = -2.2161748480797883e-7, relative_change = 3.761819250375683e-12 Iter 145: T = 713.0498328353034 K, F = -9.268340139811926e-8, relative_change = 1.5732432117931086e-12 Iter 150: T = 713.0498328318769 K, F = -3.8761398313269524e-8, relative_change = 6.579506778717849e-13 Iter 155: T = 713.049832830444 K, F = -1.6210983000419787e-8, relative_change = 2.7517137457202715e-13 Converged in 157 iterations to T = 713.0498328301406 K Iter 1: T = 969.3802144172283 K, F = -6976.747271970051, relative_change = 0.030619785582771654 Iter 2: T = 940.9028853013483 K, F = -5910.692522034803, relative_change = 0.029376841710143594 Iter 3: T = 914.5286355968424 K, F = -5005.838778504281, relative_change = 0.028030788423035736 Iter 5: T = 867.9018975376531 K, F = -3586.4424520541797, relative_change = 0.025062013318694065 Iter 10: T = 783.9678852660945 K, F = -1546.4553473063997, relative_change = 0.016789318118540418 Iter 15: T = 737.278036701886 K, F = -659.3580067828077, relative_change = 0.00942812229081503 Iter 20: T = 714.2552640336462 K, F = -278.61878417204366, relative_change = 0.004611500597622971 Iter 25: T = 703.7972078948065 K, F = -117.09599048721282, relative_change = 0.0020768758087985166 Iter 30: T = 699.254875643235 K, F = -49.07792965597488, relative_change = 0.0008975371903490899 Iter 35: T = 697.3236388197173 K, F = -20.544215139000666, relative_change = 0.00038067796106170445 Iter 40: T = 696.5102832768088 K, F = -8.595241166851478, relative_change = 0.00016015350850405178 Iter 45: T = 696.169120617781 K, F = -3.59523104042294, relative_change = 6.714562536399943e-5 Iter 50: T = 696.0262651424038 K, F = -1.5036734618980687, relative_change = 2.8110508755102805e-5 Iter 55: T = 695.9664902191157 K, F = -0.6288725634327167, relative_change = 1.1761301584545234e-5 Iter 60: T = 695.9414861952965 K, F = -0.2630052293798437, relative_change = 4.919618296975198e-6 Iter 65: T = 695.9310282626111 K, F = -0.10999248990332094, relative_change = 2.0576008425612604e-6 Iter 70: T = 695.9266544638558 K, F = -0.04600027116216554, relative_change = 8.605408333237138e-7 Iter 75: T = 695.9248252598749 K, F = -0.019237879950095405, relative_change = 3.5989327889456924e-7 Iter 80: T = 695.9240602598337 K, F = -0.00804551414911625, relative_change = 1.5051251121801926e-7 Iter 85: T = 695.92374032679 K, F = -0.0033647306248800746, relative_change = 6.294627726926437e-8 Iter 90: T = 695.9236065268148 K, F = -0.0014071706221797653, relative_change = 2.632491070011264e-8 Iter 95: T = 695.92355057004 K, F = -0.0005884955756008114, relative_change = 1.1009396559066655e-8 Iter 100: T = 695.9235271682438 K, F = -0.0002461158811878361, relative_change = 4.604261920786444e-9 Iter 105: T = 695.9235173813322 K, F = -0.00010292860110694413, relative_change = 1.9255574572457007e-9 Iter 110: T = 695.9235132883288 K, F = -4.3045970603228234e-5, relative_change = 8.052911545384382e-10 Iter 115: T = 695.9235115765858 K, F = -1.8002338228351178e-5, relative_change = 3.367823678480472e-10 Iter 120: T = 695.9235108607146 K, F = -7.528793029454306e-6, relative_change = 1.4084641249115375e-10 Iter 125: T = 695.9235105613286 K, F = -3.148630929983298e-6, relative_change = 5.890364762588108e-11 Iter 130: T = 695.9235104361218 K, F = -1.3167944070691107e-6, relative_change = 2.463419674803933e-11 Iter 135: T = 695.9235103837588 K, F = -5.506989578796251e-7, relative_change = 1.0302311742348375e-11 Iter 140: T = 695.92351036186 K, F = -2.303088720845281e-7, relative_change = 4.308549641594859e-12 Iter 145: T = 695.9235103527017 K, F = -9.631787145636395e-8, relative_change = 1.8018859925473828e-12 Iter 150: T = 695.9235103488716 K, F = -4.0281300073274906e-8, relative_change = 7.535705395900146e-13 Iter 155: T = 695.9235103472697 K, F = -1.6845663419751133e-8, relative_change = 3.1514364357706e-13 Converged in 158 iterations to T = 695.9235103468008 K Iter 1: T = 963.6198344192695 K, F = -8289.255334040958, relative_change = 0.03638016558073051 Iter 2: T = 929.1211336703859 K, F = -7033.600816395816, relative_change = 0.03580115260877175 Iter 3: T = 896.4705948591173 K, F = -5967.221474296123, relative_change = 0.03514131540877385 Iter 5: T = 836.5957909873536 K, F = -4292.583002111432, relative_change = 0.03355012798068946 Iter 10: T = 717.3135851336822 K, F = -1875.5724253747508, relative_change = 0.027774626285656977 Iter 15: T = 638.1274909175045 K, F = -811.9918438183358, relative_change = 0.01983214888894575 Iter 20: T = 591.8691268764558 K, F = -347.5869953597335, relative_change = 0.011848751693149582 Iter 25: T = 568.1257142673347 K, F = -147.29614970574514, relative_change = 0.006054321699157689 Iter 30: T = 557.0678065516486 K, F = -62.003276763103806, relative_change = 0.0027932893636520937 Iter 35: T = 552.2030462891074 K, F = -26.007037230264725, relative_change = 0.001221130079357915 Iter 40: T = 550.1225054289655 K, F = -10.89035055907998, relative_change = 0.0005205791834524219 Iter 45: T = 549.2440153524457 K, F = -4.55694492406971, relative_change = 0.00021949141946930173 Iter 50: T = 548.8751286698647 K, F = -1.9062038124371303, relative_change = 9.21088253820062e-5 Iter 55: T = 548.7205930626388 K, F = -0.7972735049502561, relative_change = 3.857636361262164e-5 Iter 60: T = 548.6559183233252 K, F = -0.333442663267835, relative_change = 1.6142797670629326e-5 Iter 65: T = 548.6288625012231 K, F = -0.13945204212141105, relative_change = 6.7528091095267265e-6 Iter 70: T = 548.6175460204448 K, F = -0.05832091845427212, relative_change = 2.824402565793178e-6 Iter 75: T = 548.6128130858706 K, F = -0.02439057613848472, relative_change = 1.181250863340595e-6 Iter 80: T = 548.6108336728752 K, F = -0.010200442737586468, relative_change = 4.94022310001923e-7 Iter 85: T = 548.6100058511596 K, F = -0.0042659491590974485, relative_change = 2.0660762007947842e-7 Iter 90: T = 548.6096596449094 K, F = -0.0017840712666167824, relative_change = 8.640605223582188e-8 Iter 95: T = 548.6095148570896 K, F = -0.000746119976145404, relative_change = 3.6136091558372575e-8 Iter 100: T = 548.6094543050539 K, F = -0.00031203629675671807, relative_change = 1.5112553576853112e-8 Iter 105: T = 548.6094289814623 K, F = -0.00013049730719974506, relative_change = 6.320251844377029e-9 Iter 110: T = 548.6094183908326 K, F = -5.457553248616742e-5, relative_change = 2.643205051172736e-9 Iter 115: T = 548.6094139617046 K, F = -2.2824139336324878e-5, relative_change = 1.1054199556650776e-9 Iter 120: T = 548.6094121093904 K, F = -9.54532787059148e-6, relative_change = 4.622998451615775e-10 Iter 125: T = 548.6094113347305 K, F = -3.991970295991187e-6, relative_change = 1.9333932654304362e-10 Iter 130: T = 548.6094110107584 K, F = -1.6694896434743534e-6, relative_change = 8.085681513500494e-11 Iter 135: T = 548.6094108752693 K, F = -6.982002209166005e-7, relative_change = 3.3815271916730685e-11 Iter 140: T = 548.6094108186063 K, F = -2.9199587450734477e-7, relative_change = 1.4141960434962554e-11 Iter 145: T = 548.6094107949091 K, F = -1.2211593097832818e-7, relative_change = 5.914325562451869e-12 Iter 150: T = 548.6094107849987 K, F = -5.107060205289393e-8, relative_change = 2.473454239896176e-12 Iter 155: T = 548.609410780854 K, F = -2.1358328217147005e-8, relative_change = 1.0344277405028742e-12 Iter 160: T = 548.6094107791206 K, F = -8.932379919057709e-9, relative_change = 4.3261352120738893e-13 Converged in 164 iterations to T = 548.609410778495 K Iter 1: T = 966.8994186354 K, F = -7541.9989507056325, relative_change = 0.03310058136459993 Iter 2: T = 935.8564627836797 K, F = -6393.874498868465, relative_change = 0.032105672268923004 Iter 3: T = 906.8407293871632 K, F = -5419.06883244565, relative_change = 0.031004469756195408 Iter 5: T = 854.7599917004823 K, F = -3889.0494668718907, relative_change = 0.02848340299548754 Iter 10: T = 757.2229024557137 K, F = -1685.5097381954888, relative_change = 0.020692261967951514 Iter 15: T = 699.451167069289 K, F = -722.3478414822383, relative_change = 0.012588695588652695 Iter 20: T = 669.4353577465382 K, F = -306.38051884942746, relative_change = 0.006521058099335741 Iter 25: T = 655.3439019291121 K, F = -129.0359974481233, relative_change = 0.0030325427093489854 Iter 30: T = 649.1181508703307 K, F = -54.137562562551594, relative_change = 0.0013308704419400612 Iter 35: T = 646.4502349884934 K, F = -22.672526266816334, relative_change = 0.0005683501042601833 Iter 40: T = 645.3227429948683 K, F = -9.487537879208691, relative_change = 0.00023981279430718142 Iter 45: T = 644.849120529641 K, F = -3.9687913843588154, relative_change = 0.00010066859621298623 Iter 50: T = 644.650677177629 K, F = -1.6599696066367724, relative_change = 4.216693835920052e-5 Iter 55: T = 644.5676210824195 K, F = -0.6942495257455825, relative_change = 1.764630996090382e-5 Iter 60: T = 644.5328746968788 K, F = -0.2903487647522714, relative_change = 7.381927110960001e-6 Iter 65: T = 644.5183413598902 K, F = -0.12142825193425844, relative_change = 3.087565189143529e-6 Iter 70: T = 644.5122629977797 K, F = -0.05078290796201701, relative_change = 1.2913187553025542e-6 Iter 75: T = 644.5097208934545 K, F = -0.02123804706466964, relative_change = 5.400557905873012e-7 Iter 80: T = 644.5086577444499 K, F = -0.00888200989729282, relative_change = 2.2585968164716416e-7 Iter 85: T = 644.5082131209826 K, F = -0.00371456348413729, relative_change = 9.445754860120555e-8 Iter 90: T = 644.508027173814 K, F = -0.0015534749614626864, relative_change = 3.95033329915459e-8 Iter 95: T = 644.5079494084305 K, F = -0.000649681807055269, relative_change = 1.6520775772087145e-8 Iter 100: T = 644.5079168860085 K, F = -0.0002717046944573087, relative_change = 6.909187486877529e-9 Iter 105: T = 644.5079032847415 K, F = -0.0001136301480724744, relative_change = 2.88950501073727e-9 Iter 110: T = 644.507897596529 K, F = -4.752148465064776e-5, relative_change = 1.208425546519076e-9 Iter 115: T = 644.5078952176506 K, F = -1.9874052728130476e-5, relative_change = 5.053780122429188e-10 Iter 120: T = 644.5078942227751 K, F = -8.311565933283305e-6, relative_change = 2.113551150497536e-10 Iter 125: T = 644.5078938067064 K, F = -3.4759965461539366e-6, relative_change = 8.839124397016261e-11 Iter 130: T = 644.5078936327014 K, F = -1.4537027525074464e-6, relative_change = 3.6966260787664555e-11 Iter 135: T = 644.5078935599305 K, F = -6.079552801740995e-7, relative_change = 1.545971719973023e-11 Iter 140: T = 644.5078935294968 K, F = -2.5425437460979694e-7, relative_change = 6.465443853073833e-12 Iter 145: T = 644.507893516769 K, F = -1.0633101565904468e-7, relative_change = 2.7038953123366063e-12 Iter 150: T = 644.5078935114461 K, F = -4.446874585228855e-8, relative_change = 1.1307973756760686e-12 Iter 155: T = 644.50789350922 K, F = -1.859660303527022e-8, relative_change = 4.728937033432606e-13 Converged in 160 iterations to T = 644.507893508289 K Iter 1: T = 965.1963736858223 K, F = -7930.039362480887, relative_change = 0.034803626314177646 Iter 2: T = 932.3680720326402 K, F = -6725.939186930846, relative_change = 0.034012044127165374 Iter 3: T = 901.4856496720083 K, F = -5703.450105720896, relative_change = 0.03312256531190045 Iter 5: T = 845.445354599597 K, F = -4098.087585000703, relative_change = 0.031031338578650806 Iter 10: T = 737.2358349179665 K, F = -1783.2129409197164, relative_change = 0.02403294984238838 Iter 15: T = 669.6108488381499 K, F = -767.7746629830203, relative_change = 0.015727680646758096 Iter 20: T = 632.633590804325 K, F = -326.91246565942504, relative_change = 0.008649116239210308 Iter 25: T = 614.6366131985724 K, F = -138.01605726259524, relative_change = 0.004172731882297338 Iter 30: T = 606.5239664620327 K, F = -57.97664749610646, relative_change = 0.0018656936075724768 Iter 35: T = 603.0136970507957 K, F = -24.29404788618077, relative_change = 0.0008035547435253528 Iter 40: T = 601.5238165976427 K, F = -10.168581889549301, relative_change = 0.0003403122196347482 Iter 45: T = 600.8968076077938 K, F = -4.254128601784242, relative_change = 0.00014308093337223843 Iter 50: T = 600.633891024387 K, F = -1.779392006587298, relative_change = 5.997182217548441e-5 Iter 55: T = 600.5238142230608 K, F = -0.7442093568652987, relative_change = 2.5104387517679477e-5 Iter 60: T = 600.4777574192213 K, F = -0.31124535715015833, relative_change = 1.0503062657193455e-5 Iter 65: T = 600.4584921729145 K, F = -0.13016794542363994, relative_change = 4.393225140389451e-6 Iter 70: T = 600.4504345623178 K, F = -0.05443803769545347, relative_change = 1.8374249869897298e-6 Iter 75: T = 600.4470646588464 K, F = -0.02276668093327583, relative_change = 7.684550719450465e-7 Iter 80: T = 600.4456553049439 K, F = -0.009521305454183893, relative_change = 3.213809361119036e-7 Iter 85: T = 600.4450658928081 K, F = -0.003981924977024154, relative_change = 1.3440601853451038e-7 Iter 90: T = 600.4448193930014 K, F = -0.001665288811221799, relative_change = 5.621031977862102e-8 Iter 95: T = 600.4447163037312 K, F = -0.0006964437094489351, relative_change = 2.3507847618426718e-8 Iter 100: T = 600.4446731905484 K, F = -0.0002912610828552098, relative_change = 9.83126618940454e-9 Iter 105: T = 600.4446551600973 K, F = -0.00012180886424018045, relative_change = 4.111553552020504e-9 Iter 110: T = 600.4446476195468 K, F = -5.094192164067923e-5, relative_change = 1.7195008975568362e-9 Iter 115: T = 600.4446444659984 K, F = -2.1304519785714238e-5, relative_change = 7.19115821109822e-10 Iter 120: T = 600.4446431471468 K, F = -8.909804559475987e-6, relative_change = 3.007428260839379e-10 Iter 125: T = 600.4446425955873 K, F = -3.7261866265292376e-6, relative_change = 1.2577424050088763e-10 Iter 130: T = 600.4446423649185 K, F = -1.558335843920844e-6, relative_change = 5.260029279732943e-11 Iter 135: T = 600.4446422684501 K, F = -6.517146938223028e-7, relative_change = 2.199807177337661e-11 Iter 140: T = 600.4446422281057 K, F = -2.7255424350780544e-7, relative_change = 9.199835249342735e-12 Iter 145: T = 600.4446422112334 K, F = -1.139857447318704e-7, relative_change = 3.847491269814346e-12 Iter 150: T = 600.4446422041772 K, F = -4.7670871305971474e-8, relative_change = 1.6090894665457921e-12 Iter 155: T = 600.4446422012262 K, F = -1.9936650219598562e-8, relative_change = 6.72944567373495e-13 Iter 160: T = 600.444642199992 K, F = -8.337487644727304e-9, relative_change = 2.814247606452091e-13 Converged in 162 iterations to T = 600.4446421997308 K Iter 1: T = 979.9224420570229 K, F = -4574.690675995472, relative_change = 0.020077557942977095 Iter 2: T = 961.8979872663692 K, F = -3864.487217357295, relative_change = 0.018393756502624134 Iter 3: T = 945.807308899161 K, F = -3263.018426247039, relative_change = 0.016728050770681586 Iter 5: T = 918.9090079578185 K, F = -2323.1469106996033, relative_change = 0.013540638623500245 Iter 10: T = 876.1157894619415 K, F = -986.4949761955628, relative_change = 0.0071404404275713165 Iter 15: T = 855.8122469706225 K, F = -415.76433658953937, relative_change = 0.003355928737299121 Iter 20: T = 846.7903697922601 K, F = -174.4963683887836, relative_change = 0.00148055755372488 Iter 25: T = 842.9137236950302 K, F = -73.08971144488935, relative_change = 0.000633778737796422 Iter 30: T = 841.2734411878071 K, F = -30.587190626546214, relative_change = 0.00026769516243556454 Iter 35: T = 840.5840579617089 K, F = -12.795491131361558, relative_change = 0.00011242207179293901 Iter 40: T = 840.2951501527587 K, F = -5.351852521116632, relative_change = 4.709874418386438e-5 Iter 45: T = 840.1742202106872 K, F = -2.2383181691836787, relative_change = 1.9711722284685605e-5 Iter 50: T = 840.123627428316 K, F = -0.9361105581686056, relative_change = 8.246210338330529e-6 Iter 55: T = 840.1024656958741 K, F = -0.39149596836906186, relative_change = 3.4491068105705102e-6 Iter 60: T = 840.0936150421448 K, F = -0.16372887597430164, relative_change = 1.4425351839621661e-6 Iter 65: T = 840.0899134943143 K, F = -0.06847347385125468, relative_change = 6.032990015928726e-7 Iter 70: T = 840.0883654455349 K, F = -0.028636442446688504, relative_change = 2.523092190892436e-7 Iter 75: T = 840.0877180300273 K, F = -0.011976105357337508, relative_change = 1.0551914343235352e-7 Iter 80: T = 840.0874472726019 K, F = -0.005008550834174175, relative_change = 4.41294385025751e-8 Iter 85: T = 840.0873340385208 K, F = -0.0020946358686884103, relative_change = 1.84554708806788e-8 Iter 90: T = 840.0872866826595 K, F = -0.0008760017526179276, relative_change = 7.718300549364865e-9 Iter 95: T = 840.08726687787 K, F = -0.00036635439744525655, relative_change = 3.2278858529728867e-9 Iter 100: T = 840.08725859527 K, F = -0.00015321378447086254, relative_change = 1.3499404785052299e-9 Iter 105: T = 840.0872551313878 K, F = -6.407583625356317e-5, relative_change = 5.645612570019538e-10 Iter 110: T = 840.0872536827508 K, F = -2.679728114873825e-5, relative_change = 2.361062724786029e-10 Iter 115: T = 840.0872530769135 K, F = -1.120694432366065e-5, relative_change = 9.87424748254696e-11 Iter 120: T = 840.0872528235451 K, F = -4.686877459691985e-6, relative_change = 4.129527789847178e-11 Iter 125: T = 840.0872527175834 K, F = -1.9601087206666534e-6, relative_change = 1.7270183629908148e-11 Iter 130: T = 840.087252673269 K, F = -8.197405929610824e-7, relative_change = 7.222594554892025e-12 Iter 135: T = 840.0872526547361 K, F = -3.428262100868551e-7, relative_change = 3.0205832671570837e-12 Iter 140: T = 840.0872526469855 K, F = -1.4337516462958888e-7, relative_change = 1.2632541225927041e-12 Iter 145: T = 840.087252643744 K, F = -5.996044127876132e-8, relative_change = 5.283012217279975e-13 Converged in 150 iterations to T = 840.0872526423883 K Iter 1: T = 976.4163076247621 K, F = -5373.566741580965, relative_change = 0.023583692375237927 Iter 2: T = 954.9946893864802 K, F = -4543.731358905618, relative_change = 0.021939021369268542 Iter 3: T = 935.64367984524 K, F = -3840.307408282326, relative_change = 0.020262949895220882 Iter 5: T = 902.7331720895228 K, F = -2739.4808969156734, relative_change = 0.016909747904384802 Iter 10: T = 848.5209971315059 K, F = -1168.2061580053373, relative_change = 0.009518599308703185 Iter 15: T = 821.7483848887254 K, F = -493.690099748917, relative_change = 0.004663259784734896 Iter 20: T = 809.5759583476987 K, F = -207.4964898374618, relative_change = 0.002101993862778481 Iter 25: T = 804.2866164152401 K, F = -86.96942571993688, relative_change = 0.0009087585566750167 Iter 30: T = 802.0373157610874 K, F = -36.40617505751191, relative_change = 0.00038550571620602175 Iter 35: T = 801.0899207677908 K, F = -15.231608194254092, relative_change = 0.00016219686644998248 Iter 40: T = 800.6925201205687 K, F = -6.371114705487614, relative_change = 6.800449446636696e-5 Iter 45: T = 800.526113391695 K, F = -2.664664545543624, relative_change = 2.847045650619045e-5 Iter 50: T = 800.456483467976 K, F = -1.1144274968568522, relative_change = 1.1911968992262385e-5 Iter 55: T = 800.4273569874815 K, F = -0.4660726552696296, relative_change = 4.982652483603506e-6 Iter 60: T = 800.4151748230913 K, F = -0.19491815929727707, relative_change = 2.0839665650703978e-6 Iter 65: T = 800.4100799001162 K, F = -0.0815172784677467, relative_change = 8.71568005855516e-7 Iter 70: T = 800.4079491081395 K, F = -0.03409153023155609, relative_change = 3.645050987468592e-7 Iter 75: T = 800.4070579794812 K, F = -0.014257490475648171, relative_change = 1.5244125115298687e-7 Iter 80: T = 800.4066852977835 K, F = -0.005962653728368794, relative_change = 6.375290316144192e-8 Iter 85: T = 800.4065294376632 K, F = -0.002493653163099574, relative_change = 2.6662251953970418e-8 Iter 90: T = 800.4064642550674 K, F = -0.0010428755642029053, relative_change = 1.1150476835429258e-8 Iter 95: T = 800.4064369949217 K, F = -0.000436143020193569, relative_change = 4.663263383612003e-9 Iter 100: T = 800.4064255944021 K, F = -0.00018240022011817292, relative_change = 1.9502325749607257e-9 Iter 105: T = 800.4064208265685 K, F = -7.628194854980563e-5, relative_change = 8.156105571924435e-10 Iter 110: T = 800.4064188326037 K, F = -3.190202416580856e-5, relative_change = 3.410981039252974e-10 Iter 115: T = 800.4064179987038 K, F = -1.3341809043221353e-5, relative_change = 1.4265131787556553e-10 Iter 120: T = 800.4064176499568 K, F = -5.579702387570329e-6, relative_change = 5.965846895372734e-11 Iter 125: T = 800.4064175041067 K, F = -2.3334987698797605e-6, relative_change = 2.4949890579707654e-11 Iter 130: T = 800.4064174431104 K, F = -9.758996517561513e-7, relative_change = 1.043436999033859e-11 Iter 135: T = 800.4064174176009 K, F = -4.081305293723858e-7, relative_change = 4.363752913331849e-12 Iter 140: T = 800.4064174069325 K, F = -1.7068414404075583e-7, relative_change = 1.8249637732566636e-12 Iter 145: T = 800.406417402471 K, F = -7.13806648233728e-8, relative_change = 7.632057924840624e-13 Iter 150: T = 800.4064174006052 K, F = -2.985242952835421e-8, relative_change = 3.1918373403206037e-13 Converged in 153 iterations to T = 800.4064174000588 K Iter 1: T = 980.561046107725 K, F = -4429.184135573722, relative_change = 0.019438953892275 Iter 2: T = 963.1470383855724 K, F = -3740.909021295616, relative_change = 0.017759228547040897 Iter 3: T = 947.6341492350656 K, F = -3158.1179660396824, relative_change = 0.016106459898905516 Iter 5: T = 921.7794999736259 K, F = -2247.6965409239497, relative_change = 0.012968500264084427 Iter 10: T = 880.8852074313077 K, F = -953.7901385820268, relative_change = 0.006765632729826395 Iter 15: T = 861.6061119354185 K, F = -401.811106356193, relative_change = 0.0031594405220590417 Iter 20: T = 853.069184334219 K, F = -168.60449229000017, relative_change = 0.0013894239848822511 Iter 25: T = 849.4069685947411 K, F = -70.61504221447768, relative_change = 0.0005939075322518716 Iter 30: T = 847.8585473636006 K, F = -29.550338270663907, relative_change = 0.0002506973437697739 Iter 35: T = 847.2079756219673 K, F = -12.36152744409263, relative_change = 0.00010525564230733821 Iter 40: T = 846.9353690612206 K, F = -5.170303983451005, relative_change = 4.4091468778646985e-5 Iter 45: T = 846.8212687753332 K, F = -2.1623819290707536, relative_change = 1.845225505020149e-5 Iter 50: T = 846.7735343894149 K, F = -0.9043512820401157, relative_change = 7.719172755764223e-6 Iter 55: T = 846.7535684493757 K, F = -0.3782135389703575, relative_change = 3.2286385592889506e-6 Iter 60: T = 846.7452179562516 K, F = -0.15817394924895845, relative_change = 1.350323134101952e-6 Iter 65: T = 846.7417255930945 K, F = -0.06615032733700166, relative_change = 5.647331428582886e-7 Iter 70: T = 846.7402650298616 K, F = -0.027664873116043598, relative_change = 2.3618022288052016e-7 Iter 75: T = 846.739654202207 K, F = -0.011569783159780522, relative_change = 9.87737532550902e-8 Iter 80: T = 846.7393987463205 K, F = -0.0048386219846972, relative_change = 4.130842678162138e-8 Iter 85: T = 846.7392919115364 K, F = -0.002023569584163054, relative_change = 1.7275688509192564e-8 Iter 90: T = 846.7392472319397 K, F = -0.0008462809838210017, relative_change = 7.224901211843529e-9 Iter 95: T = 846.7392285463961 K, F = -0.0003539248166957165, relative_change = 3.0215403094309914e-9 Iter 100: T = 846.7392207318783 K, F = -0.00014801558751509347, relative_change = 1.263644318385909e-9 Iter 105: T = 846.7392174637534 K, F = -6.190188667010155e-5, relative_change = 5.284711572526271e-10 Iter 110: T = 846.7392160969846 K, F = -2.588810756765092e-5, relative_change = 2.2101294494326e-10 Iter 115: T = 846.7392155253856 K, F = -1.0826716830392158e-5, relative_change = 9.243026251299867e-11 Iter 120: T = 846.739215286336 K, F = -4.527860653746885e-6, relative_change = 3.865542582917143e-11 Iter 125: T = 846.7392151863626 K, F = -1.8936059686947004e-6, relative_change = 1.6166165593707195e-11 Iter 130: T = 846.7392151445525 K, F = -7.919274962464584e-7, relative_change = 6.760873833939715e-12 Iter 135: T = 846.7392151270672 K, F = -3.3119379638790747e-7, relative_change = 2.8274803978841324e-12 Iter 140: T = 846.7392151197545 K, F = -1.385089167804665e-7, relative_change = 1.1824836437647013e-12 Iter 145: T = 846.7392151166963 K, F = -5.7926680341324754e-8, relative_change = 4.945338800890882e-13 Converged in 150 iterations to T = 846.7392151154173 K Iter 1: T = 967.3371247438547 K, F = -7442.267197528247, relative_change = 0.03266287525614531 Iter 2: T = 936.7498493361569 K, F = -6308.577137111724, relative_change = 0.03162007807339881 Iter 3: T = 908.2067797974188 K, F = -5346.071590319286, relative_change = 0.030470321995744835 Iter 5: T = 857.1145939519006 K, F = -3835.497420306417, relative_change = 0.02785568194850491 Iter 10: T = 762.1325637682721 K, F = -1660.7098898136371, relative_change = 0.01992953808412875 Iter 15: T = 706.5588360432013 K, F = -710.988922689076, relative_change = 0.011931419092106666 Iter 20: T = 677.9949255356241 K, F = -301.32421857271237, relative_change = 0.006105894356164401 Iter 25: T = 664.6801312738266 K, F = -126.84763796026381, relative_change = 0.0028195521297718225 Iter 30: T = 658.819734943376 K, F = -53.20726233110542, relative_change = 0.0012331368427720927 Iter 35: T = 656.3128350273191 K, F = -22.28062721775091, relative_change = 0.0005257981028538234 Iter 40: T = 655.2542167246448 K, F = -9.323129392794865, relative_change = 0.0002217100872504681 Iter 45: T = 654.8096741502529 K, F = -3.899943129060385, relative_change = 9.304311927792902e-5 Iter 50: T = 654.6234412205313 K, F = -1.6311604994008202, relative_change = 3.8968227986911e-5 Iter 55: T = 654.5455002589217 K, F = -0.6821984178577528, relative_change = 1.630687856439212e-5 Iter 60: T = 654.5128945887366 K, F = -0.28530835815705746, relative_change = 6.8214644686601784e-6 Iter 65: T = 654.4992567880008 K, F = -0.11932020807760224, relative_change = 2.853121141570858e-6 Iter 70: T = 654.4935529959539 K, F = -0.049901283866914725, relative_change = 1.1932623791474196e-6 Iter 75: T = 654.4911675493684 K, F = -0.02086933871897756, relative_change = 4.990458555407483e-7 Iter 80: T = 654.4901699179121 K, F = -0.008727811206829306, relative_change = 2.08708559416186e-7 Iter 85: T = 654.4897526949128 K, F = -0.0036500756688474523, relative_change = 8.728469586086106e-8 Iter 90: T = 654.4895782069901 K, F = -0.0015265053741232437, relative_change = 3.6503551849543195e-8 Iter 95: T = 654.4895052340079 K, F = -0.000638402801961313, relative_change = 1.5266230010015655e-8 Iter 100: T = 654.4894747158265 K, F = -0.0002669876800205362, relative_change = 6.384521222917667e-9 Iter 105: T = 654.4894619527572 K, F = -0.00011165743634206082, relative_change = 2.6700832718356637e-9 Iter 110: T = 654.489456615089 K, F = -4.6696474460816706e-5, relative_change = 1.1166607817398924e-9 Iter 115: T = 654.4894543828123 K, F = -1.95290236520429e-5, relative_change = 4.670008908343654e-10 Iter 120: T = 654.4894534492474 K, F = -8.167270265146964e-6, relative_change = 1.9530533545193103e-10 Iter 125: T = 654.4894530588195 K, F = -3.415650391969116e-6, relative_change = 8.167903422168508e-11 Iter 130: T = 654.4894528955379 K, F = -1.4284661072339055e-6, relative_change = 3.415915530178055e-11 Iter 135: T = 654.4894528272515 K, F = -5.974006289655165e-7, relative_change = 1.4285743826199062e-11 Iter 140: T = 654.4894527986934 K, F = -2.4984044799669647e-7, relative_change = 5.974477536834173e-12 Iter 145: T = 654.48945278675 K, F = -1.0448559728537532e-7, relative_change = 2.498582030907446e-12 Iter 150: T = 654.4894527817551 K, F = -4.369677847337883e-8, relative_change = 1.044928567598631e-12 Iter 155: T = 654.4894527796662 K, F = -1.8274489421710172e-8, relative_change = 4.3700100379133425e-13 Converged in 159 iterations to T = 654.4894527789123 K Iter 1: T = 973.4997963504971 K, F = -6038.09660974067, relative_change = 0.026500203649502847 Iter 2: T = 949.1926468476602 K, F = -5109.724533789257, relative_change = 0.024968828544146345 Iter 3: T = 927.0112476425763 K, F = -4322.277949171551, relative_change = 0.023368701052152035 Iter 5: T = 888.7039722861641 K, F = -3088.616101532334, relative_change = 0.020040066044747177 Iter 10: T = 823.4685503756517 K, F = -1322.506372664826, relative_change = 0.01202555619415272 Iter 15: T = 789.8864701050423 K, F = -560.5550678951028, relative_change = 0.006164796274779306 Iter 20: T = 774.2165948074921 K, F = -235.99091303776083, relative_change = 0.0028496006224179747 Iter 25: T = 767.3159253364748 K, F = -98.99149101237548, relative_change = 0.0012468864766432238 Iter 30: T = 764.3632877029565 K, F = -41.45344988185524, relative_change = 0.0005317769642876739 Iter 35: T = 763.1163051044017 K, F = -17.345934544771158, relative_change = 0.00022425225842003543 Iter 40: T = 762.592638609944 K, F = -7.255969021557427, relative_change = 9.411372031446392e-5 Iter 45: T = 762.373253815041 K, F = -3.0348297118598624, relative_change = 3.9417276473606384e-5 Iter 50: T = 762.2814375911521 K, F = -1.2692540058102724, relative_change = 1.6494905923683565e-5 Iter 55: T = 762.2430272366759 K, F = -0.5308262787385598, relative_change = 6.900140023167781e-6 Iter 60: T = 762.22696151796 K, F = -0.22199948027756344, relative_change = 2.886031244805286e-6 Iter 65: T = 762.2202422839421 K, F = -0.09284311218080021, relative_change = 1.2070270101342911e-6 Iter 70: T = 762.2174321573086 K, F = -0.0388281469642725, relative_change = 5.048026042505922e-7 Iter 75: T = 762.21625691782 K, F = -0.0162384032772942, relative_change = 2.1111613819229625e-7 Iter 80: T = 762.2157654167119 K, F = -0.0067910956652303955, relative_change = 8.829158065618003e-8 Iter 85: T = 762.2155598647431 K, F = -0.0028401175708019366, relative_change = 3.69246442558855e-8 Iter 90: T = 762.2154739003963 K, F = -0.0011877711318045714, relative_change = 1.5442336085321822e-8 Iter 95: T = 762.2154379490696 K, F = -0.0004967400812350142, relative_change = 6.4581709377582635e-9 Iter 100: T = 762.2154229137936 K, F = -0.00020774263646783364, relative_change = 2.7008844948421497e-9 Iter 105: T = 762.2154166258613 K, F = -8.688045193672167e-5, relative_change = 1.1295422006151253e-9 Iter 110: T = 762.2154139961727 K, F = -3.633444071315939e-5, relative_change = 4.723880214771002e-10 Iter 115: T = 762.2154128964057 K, F = -1.5195497590103635e-5, relative_change = 1.9755832071089192e-10 Iter 120: T = 762.2154124364699 K, F = -6.354938671959687e-6, relative_change = 8.262125069715955e-11 Iter 125: T = 762.2154122441193 K, F = -2.657709290421195e-6, relative_change = 3.455316835656907e-11 Iter 130: T = 762.2154121636761 K, F = -1.1114874687301324e-6, relative_change = 1.4450569816257416e-11 Iter 135: T = 762.2154121300337 K, F = -4.648362209591639e-7, relative_change = 6.043386411887807e-12 Iter 140: T = 762.215412115964 K, F = -1.9439991838510196e-7, relative_change = 2.5274145438143166e-12 Iter 145: T = 762.2154121100799 K, F = -8.130035267228664e-8, relative_change = 1.0569947532677045e-12 Iter 150: T = 762.2154121076192 K, F = -3.400195081049162e-8, relative_change = 4.4206307139870153e-13 Converged in 154 iterations to T = 762.2154121067309 K Iter 1: T = 970.0446958299757 K, F = -6825.344549990575, relative_change = 0.02995530417002435 Iter 2: T = 942.2475819276195 K, F = -5781.379427272364, relative_change = 0.028655498062976115 Iter 3: T = 916.565665739762 K, F = -4895.359465633834, relative_change = 0.02725601708132622 Iter 5: T = 871.3405650698277 K, F = -3505.757557727708, relative_change = 0.024199256594371093 Iter 10: T = 790.7188734714007 K, F = -1509.788800544045, relative_change = 0.015896279828989876 Iter 15: T = 746.5140300612286 K, F = -642.9938023101486, relative_change = 0.00877080485217585 Iter 20: T = 724.955187812485 K, F = -271.49756247638254, relative_change = 0.004240512048647477 Iter 25: T = 715.2253556305279 K, F = -114.05690656595043, relative_change = 0.001898122725655956 Iter 30: T = 711.0128784629429 K, F = -47.79509799097191, relative_change = 0.0008179463988946033 Iter 35: T = 709.2244850412125 K, F = -20.00554710623347, relative_change = 0.0003464858863579609 Iter 40: T = 708.4717625835656 K, F = -8.369576054842183, relative_change = 0.0001456906972654806 Iter 45: T = 708.1561167525905 K, F = -3.500786805430404, relative_change = 6.106818776954409e-5 Iter 50: T = 708.023960808966 K, F = -1.464163750574806, relative_change = 2.5563767459083388e-5 Iter 55: T = 707.9686654867169 K, F = -0.6123470275912875, relative_change = 1.0695332746933965e-5 Iter 60: T = 707.9455357488404 K, F = -0.2560936849375433, relative_change = 4.473661380831896e-6 Iter 65: T = 707.9358618159974 K, F = -0.10710193509684707, relative_change = 1.8710690361671805e-6 Iter 70: T = 707.931815921769 K, F = -0.04479139536190602, relative_change = 7.82526229008105e-7 Iter 75: T = 707.9301238560003 K, F = -0.018732311682851277, relative_change = 3.272658044128502e-7 Iter 80: T = 707.9294162096058 K, F = -0.007834079115989101, relative_change = 1.3686716562067374e-7 Iter 85: T = 707.9291202626837 K, F = -0.003276305909021171, relative_change = 5.7239605236796476e-8 Iter 90: T = 707.9289964940156 K, F = -0.0013701903391930559, relative_change = 2.393830783106867e-8 Iter 95: T = 707.9289447324576 K, F = -0.0005730299786893545, relative_change = 1.0011289971323626e-8 Iter 100: T = 707.9289230851518 K, F = -0.00023964798218834016, relative_change = 4.186841664913772e-9 Iter 105: T = 707.9289140319894 K, F = -0.00010022364939499262, relative_change = 1.7509873140349051e-9 Iter 110: T = 707.9289102458486 K, F = -4.1914727324177115e-5, relative_change = 7.322838284947572e-10 Iter 115: T = 707.9289086624393 K, F = -1.7529240054270367e-5, relative_change = 3.062498547339103e-10 Iter 120: T = 707.9289080002385 K, F = -7.33093687610431e-6, relative_change = 1.2807733572124864e-10 Iter 125: T = 707.9289077232984 K, F = -3.065885895492393e-6, relative_change = 5.356348096944082e-11 Iter 130: T = 707.9289076074787 K, F = -1.2821895636339065e-6, relative_change = 2.2400878142722477e-11 Iter 135: T = 707.9289075590414 K, F = -5.362271023878762e-7, relative_change = 9.36831676221527e-12 Iter 140: T = 707.9289075387844 K, F = -2.2425664969460968e-7, relative_change = 3.917943202241937e-12 Iter 145: T = 707.9289075303127 K, F = -9.378670196014127e-8, relative_change = 1.6385287657099697e-12 Iter 150: T = 707.9289075267698 K, F = -3.922319247173789e-8, relative_change = 6.852605732608688e-13 Iter 155: T = 707.928907525288 K, F = -1.640364533095351e-8, relative_change = 2.8658481614592394e-13 Converged in 157 iterations to T = 707.9289075249744 K Iter 1: T = 973.512072702214 K, F = -6035.299431324156, relative_change = 0.026487927297785978 Iter 2: T = 949.2171842210525 K, F = -5107.340270672084, relative_change = 0.02495591905062381 Iter 3: T = 927.0479327291185 K, F = -4320.245818686801, relative_change = 0.023355299356623605 Iter 5: T = 888.7641866086549 K, F = -3087.140914437282, relative_change = 0.02002620058935742 Iter 10: T = 823.5785730560502 K, F = -1321.8501352211222, relative_change = 0.012013742810912434 Iter 15: T = 790.0286495126383 K, F = -560.2689746409286, relative_change = 0.006157399423253601 Iter 20: T = 774.3757656934939 K, F = -235.8685238860622, relative_change = 0.0028458252201904455 Iter 25: T = 767.483041704861 K, F = -98.93975163030444, relative_change = 0.0012451584500187802 Iter 30: T = 764.5338963090967 K, F = -41.4317082160267, relative_change = 0.0005310254575672938 Iter 35: T = 763.2884057532003 K, F = -17.336823269655724, relative_change = 0.00022393270516910378 Iter 40: T = 762.7653689176964 K, F = -7.252155275719189, relative_change = 9.39791416033215e-5 Iter 45: T = 762.5462484565832 K, F = -3.033234177369822, relative_change = 3.93608287718771e-5 Iter 50: T = 762.4545429564939 K, F = -1.2685866324946622, relative_change = 1.6471269819939746e-5 Iter 55: T = 762.4161789389217 K, F = -0.5305471574360676, relative_change = 6.8902500431549554e-6 Iter 60: T = 762.4001326042599 K, F = -0.22188274529984642, relative_change = 2.88189424821173e-6 Iter 65: T = 762.3934214778308 K, F = -0.09279429167527475, relative_change = 1.2052967132732846e-6 Iter 70: T = 762.3906147420532 K, F = -0.03880772955114209, relative_change = 5.040789462485964e-7 Iter 75: T = 762.38944092069 K, F = -0.01622986445562935, relative_change = 2.1081349102942336e-7 Iter 80: T = 762.3889500126638 K, F = -0.00678752462572807, relative_change = 8.816500917414998e-8 Iter 85: T = 762.38874470873 K, F = -0.0028386241177251748, relative_change = 3.687171038939834e-8 Iter 90: T = 762.3886588481143 K, F = -0.0011871465520233437, relative_change = 1.5420198487600563e-8 Iter 95: T = 762.3886229401693 K, F = -0.0004964788720381863, relative_change = 6.448912693625905e-9 Iter 100: T = 762.3886079230361 K, F = -0.00020763339506335576, relative_change = 2.6970125780480112e-9 Iter 105: T = 762.3886016426914 K, F = -8.683476476445406e-5, relative_change = 1.1279229041916313e-9 Iter 110: T = 762.3885990161762 K, F = -3.631533554648847e-5, relative_change = 4.71710835162343e-10 Iter 115: T = 762.3885979177361 K, F = -1.51875080880437e-5, relative_change = 1.9727511987931147e-10 Iter 120: T = 762.3885974583554 K, F = -6.351598433207428e-6, relative_change = 8.250282657741729e-11 Iter 125: T = 762.3885972662368 K, F = -2.6563142605517953e-6, relative_change = 3.450366665036445e-11 Iter 130: T = 762.3885971858905 K, F = -1.1109010077392512e-6, relative_change = 1.4429828067052488e-11 Iter 135: T = 762.3885971522888 K, F = -4.6459193947523403e-7, relative_change = 6.0347247528525415e-12 Iter 140: T = 762.3885971382362 K, F = -1.9429874453802398e-7, relative_change = 2.5238049642856372e-12 Iter 145: T = 762.3885971323592 K, F = -8.125934813918434e-8, relative_change = 1.0555021687012542e-12 Iter 150: T = 762.3885971299014 K, F = -3.3984522529451056e-8, relative_change = 4.414352078141453e-13 Converged in 154 iterations to T = 762.3885971290141 K Iter 1: T = 964.3740816506736 K, F = -8117.399384891184, relative_change = 0.03562591834932637 Iter 2: T = 930.676663528566 K, F = -6886.377933537975, relative_change = 0.034942268527612556 Iter 3: T = 898.8769101647396 K, F = -5840.966115330553, relative_change = 0.034168422407048274 Iter 5: T = 840.8576093186488 K, F = -4199.412169943536, relative_change = 0.03232499171265154 Iter 10: T = 727.0302151200725 K, F = -1831.1385456672497, relative_change = 0.025895237118032186 Iter 15: T = 653.728408560073 K, F = -790.5362940019166, relative_change = 0.017684370950543402 Iter 20: T = 612.3608993579332 K, F = -337.4472241175114, relative_change = 0.01011004317790156 Iter 25: T = 591.7296395207744 K, F = -142.70523362448213, relative_change = 0.005005471466154456 Iter 30: T = 582.293538906305 K, F = -60.0010882713222, relative_change = 0.0022691009234899924 Iter 35: T = 578.1809354059151 K, F = -25.153135075681412, relative_change = 0.0009836335003357566 Iter 40: T = 576.4296578531099 K, F = -10.530152550315957, relative_change = 0.00041776114865873165 Iter 45: T = 575.6915909594751 K, F = -4.4057511809642635, relative_change = 0.0001758566834494089 Iter 50: T = 575.3819185618427 K, F = -1.8428746516889358, relative_change = 7.374737760570437e-5 Iter 55: T = 575.2522332398335 K, F = -0.7707712467990881, relative_change = 3.087750889106097e-5 Iter 60: T = 575.197966321612 K, F = -0.32235607977762726, relative_change = 1.2919558047017356e-5 Iter 65: T = 575.1752658264876 K, F = -0.13481497139373458, relative_change = 5.404201258618367e-6 Iter 70: T = 575.1657712596347 K, F = -0.05638154752267624, relative_change = 2.2602918180079117e-6 Iter 75: T = 575.1618003524316 K, F = -0.023579491860522522, relative_change = 9.453143216230918e-7 Iter 80: T = 575.1601396425888 K, F = -0.009861234773910543, relative_change = 3.9534756139456933e-7 Iter 85: T = 575.1594451088223 K, F = -0.0041240878425764516, relative_change = 1.65340090000843e-7 Iter 90: T = 575.1591546456189 K, F = -0.0017247430835478639, relative_change = 6.914737832602326e-8 Iter 95: T = 575.1590331702829 K, F = -0.0007213082063027842, relative_change = 2.8918290531728153e-8 Iter 100: T = 575.1589823678197 K, F = -0.0003016597153460143, relative_change = 1.2093979913528072e-8 Iter 105: T = 575.1589611216181 K, F = -0.00012615769777540864, relative_change = 5.057847811765025e-9 Iter 110: T = 575.158952236202 K, F = -5.276065615267278e-5, relative_change = 2.1152525260186705e-9 Iter 115: T = 575.1589485202147 K, F = -2.2065137331162e-5, relative_change = 8.846239284300674e-10 Iter 120: T = 575.1589469661444 K, F = -9.22790344937141e-6, relative_change = 3.699602763876003e-10 Iter 125: T = 575.1589463162137 K, F = -3.8592198553510926e-6, relative_change = 1.5472182385095865e-10 Iter 130: T = 575.158946044405 K, F = -1.6139726854436098e-6, relative_change = 6.47065488515908e-11 Iter 135: T = 575.1589459307312 K, F = -6.749826636509582e-7, relative_change = 2.706105198341651e-11 Iter 140: T = 575.1589458831914 K, F = -2.8228579906919293e-7, relative_change = 1.1317254645443622e-11 Iter 145: T = 575.1589458633097 K, F = -1.1805432165168384e-7, relative_change = 4.732972132330339e-12 Iter 150: T = 575.1589458549951 K, F = -4.937222913836692e-8, relative_change = 1.979405593710159e-12 Iter 155: T = 575.1589458515177 K, F = -2.064835114001795e-8, relative_change = 8.278228968369284e-13 Iter 160: T = 575.1589458500634 K, F = -8.635556991709592e-9, relative_change = 3.462122353638579e-13 Converged in 163 iterations to T = 575.1589458496377 K Iter 1: T = 963.5581888029378 K, F = -8303.301346362254, relative_change = 0.036441811197062204 Iter 2: T = 928.993824768962 K, F = -7045.636090695571, relative_change = 0.03587158973441595 Iter 3: T = 896.2733500555933 K, F = -5977.545529980899, relative_change = 0.035221412501322255 Iter 5: T = 836.2451510167289 K, F = -4300.207864155341, relative_change = 0.03365193947242416 Iter 10: T = 716.5034868121097 K, F = -1879.2251670077396, relative_change = 0.027936193182383762 Iter 15: T = 636.8036578107482 K, F = -813.7726189815379, relative_change = 0.020025590276796987 Iter 20: T = 590.1003553753345 K, F = -348.43951901737097, relative_change = 0.012012854414062402 Iter 25: T = 566.063784876181 K, F = -147.6864613447538, relative_change = 0.006156739426937817 Iter 30: T = 554.84964900855 K, F = -62.17466973794221, relative_change = 0.0028454658456859043 Iter 35: T = 549.9115774215728 K, F = -26.08038607973746, relative_change = 0.001244989643351207 Iter 40: T = 547.7987677367944 K, F = -10.921339476545763, relative_change = 0.0005309512593561581 Iter 45: T = 546.9064826648276 K, F = -4.5699614031638065, relative_change = 0.00022390101522063368 Iter 50: T = 546.5317728791533 K, F = -1.9116574781248898, relative_change = 9.396577090629887e-5 Iter 55: T = 546.3747924501739 K, F = -0.7995560549389423, relative_change = 3.93552162531776e-5 Iter 60: T = 546.3090935822848 K, F = -0.3343975617909259, relative_change = 1.6468918958854005e-5 Iter 65: T = 546.2816091638462 K, F = -0.13985144615912948, relative_change = 6.88926624767933e-6 Iter 70: T = 546.2701133875785 K, F = -0.05848796345415905, relative_change = 2.8814827016875935e-6 Iter 75: T = 546.265305460499 K, F = -0.02446043800673281, relative_change = 1.205124580049565e-6 Iter 80: T = 546.2632946831699 K, F = -0.01022966009472856, relative_change = 5.040069546588537e-7 Iter 85: T = 546.2624537442404 K, F = -0.004278168258040865, relative_change = 2.1078338267542156e-7 Iter 90: T = 546.2621020521665 K, F = -0.0017891814494073455, relative_change = 8.815241741922078e-8 Iter 95: T = 546.2619549701013 K, F = -0.0007482571173666741, relative_change = 3.68664443295423e-8 Iter 100: T = 546.2618934585832 K, F = -0.00031293007464694433, relative_change = 1.5417996157953104e-8 Iter 105: T = 546.2618677337244 K, F = -0.0001308710963316695, relative_change = 6.447991664243491e-9 Iter 110: T = 546.26185697528 K, F = -5.4731856034884174e-5, relative_change = 2.696627402564462e-9 Iter 115: T = 546.2618524759698 K, F = -2.2889515795487814e-5, relative_change = 1.127761826798035e-9 Iter 120: T = 546.2618505943045 K, F = -9.572668771190562e-6, relative_change = 4.716434674385216e-10 Iter 125: T = 546.2618498073697 K, F = -4.003404954266987e-6, relative_change = 1.9724695926213506e-10 Iter 130: T = 546.2618494782641 K, F = -1.6742718963458358e-6, relative_change = 8.249104081452149e-11 Iter 135: T = 546.2618493406283 K, F = -7.002004985268151e-7, relative_change = 3.449873828598199e-11 Iter 140: T = 546.2618492830672 K, F = -2.928323342421546e-7, relative_change = 1.4427790450044063e-11 Iter 145: T = 546.2618492589945 K, F = -1.2246607367094597e-7, relative_change = 6.033878919510428e-12 Iter 150: T = 546.261849248927 K, F = -5.1216393071040756e-8, relative_change = 2.5234214280615382e-12 Iter 155: T = 546.2618492447166 K, F = -2.1418846002374536e-8, relative_change = 1.0553022524205476e-12 Iter 160: T = 546.2618492429558 K, F = -8.95759799668383e-9, relative_change = 4.413390591292974e-13 Converged in 164 iterations to T = 546.2618492423203 K Iter 1: T = 969.2536451019361 K, F = -7005.586210857898, relative_change = 0.030746354898063936 Iter 2: T = 940.646416576503 K, F = -5935.3290116388835, relative_change = 0.029514697901831834 Iter 3: T = 914.1395750830815 K, F = -5026.892448915815, relative_change = 0.028179389222460022 Iter 5: T = 867.2431061082032 K, F = -3601.828530620162, relative_change = 0.02522881708231855 Iter 10: T = 782.6635016982992 K, F = -1553.4656630632112, relative_change = 0.016965929882399505 Iter 15: T = 735.4802685584542 K, F = -662.4968984588518, relative_change = 0.009560827904292045 Iter 20: T = 712.1626024714485 K, F = -279.9883130971753, relative_change = 0.004687438587681436 Iter 25: T = 701.5565708961275 K, F = -117.68135256589716, relative_change = 0.0021137346065933597 Iter 30: T = 696.9469178918415 K, F = -49.32520292925561, relative_change = 0.0009140053080030925 Iter 35: T = 694.9864697073997 K, F = -20.648081438255325, relative_change = 0.00038776334049032794 Iter 40: T = 694.160704011067 K, F = -8.638760351596806, relative_change = 0.00016315246977672367 Iter 45: T = 693.8143167418642 K, F = -3.6134455888238515, relative_change = 6.840616645922903e-5 Iter 50: T = 693.6692701814914 K, F = -1.5112935151331026, relative_change = 2.8638797087220442e-5 Iter 55: T = 693.6085778513227 K, F = -0.6320598006725108, relative_change = 1.1982433541839927e-5 Iter 60: T = 693.5831899697536 K, F = -0.2643382470607277, relative_change = 5.0121325432324596e-6 Iter 65: T = 693.5725714704051 K, F = -0.1105499872886862, relative_change = 2.09629739289841e-6 Iter 70: T = 693.5681305150212 K, F = -0.0462334255835547, relative_change = 8.767252402491553e-7 Iter 75: T = 693.5662732243333 K, F = -0.019335388325150915, relative_change = 3.666619743519047e-7 Iter 80: T = 693.5654964779206 K, F = -0.00808629338839395, relative_change = 1.5334329254233974e-7 Iter 85: T = 693.5651716323736 K, F = -0.0033817850042965336, relative_change = 6.413014946667032e-8 Iter 90: T = 693.5650357779252 K, F = -0.0014143029713861166, relative_change = 2.682002120684692e-8 Iter 95: T = 693.5649789619442 K, F = -0.0005914784093137282, relative_change = 1.121645785185865e-8 Iter 100: T = 693.5649552008175 K, F = -0.000247363336943085, relative_change = 4.690857437550055e-9 Iter 105: T = 693.5649452636297 K, F = -0.00010345030252345566, relative_change = 1.9617727514067534e-9 Iter 110: T = 693.564941107779 K, F = -4.32641531031841e-5, relative_change = 8.204368379939769e-10 Iter 115: T = 693.5649393697524 K, F = -1.809358517801396e-5, relative_change = 3.4311648151604146e-10 Iter 120: T = 693.5649386428892 K, F = -7.5669545023249185e-6, relative_change = 1.4349543178095753e-10 Iter 125: T = 693.5649383389062 K, F = -3.164592100257657e-6, relative_change = 6.001152916211647e-11 Iter 130: T = 693.5649382117768 K, F = -1.3234702781472762e-6, relative_change = 2.5097539507564393e-11 Iter 135: T = 693.5649381586098 K, F = -5.534903558812587e-7, relative_change = 1.0496077099896836e-11 Iter 140: T = 693.5649381363747 K, F = -2.3147562511205422e-7, relative_change = 4.389572433336138e-12 Iter 145: T = 693.5649381270758 K, F = -9.680653723087573e-8, relative_change = 1.8357842516541388e-12 Iter 150: T = 693.5649381231868 K, F = -4.048583923665916e-8, relative_change = 7.67750486833232e-13 Iter 155: T = 693.5649381215604 K, F = -1.6931984814227974e-8, relative_change = 3.210885541567511e-13 Converged in 158 iterations to T = 693.5649381210843 K Iter 1: T = 966.5043391190794 K, F = -7632.018194316944, relative_change = 0.033495660880920625 Iter 2: T = 935.0489669603112 K, F = -6470.881882421666, relative_change = 0.032545505369834436 Iter 3: T = 905.6041272745274 K, F = -5484.9896135725585, relative_change = 0.03149015797697106 Iter 5: T = 852.6210698710723 K, F = -3937.44665899791, relative_change = 0.029059298498471515 Iter 10: T = 752.714880375774 K, F = -1707.9997209791093, relative_change = 0.02141207741620397 Iter 15: T = 692.852344366621 K, F = -732.703969813507, relative_change = 0.013228228646263886 Iter 20: T = 661.4230180108324 K, F = -311.0143781392926, relative_change = 0.006934701107151547 Iter 25: T = 646.5634254733235 K, F = -131.04844146658155, relative_change = 0.003247739493776632 Iter 30: T = 639.9732214056095 K, F = -54.99462398459983, relative_change = 0.001430301551631564 Iter 35: T = 637.1440326035649 K, F = -23.033874454058818, relative_change = 0.0006117764567783808 Iter 40: T = 635.9474327580248 K, F = -9.63918510895982, relative_change = 0.0002583124005618319 Iter 45: T = 635.4446090222924 K, F = -4.032305573747042, relative_change = 0.00010846571802577988 Iter 50: T = 635.233900284993 K, F = -1.6865484515187599, relative_change = 4.543843665927114e-5 Iter 55: T = 635.1457053279286 K, F = -0.7053680008411913, relative_change = 1.9016358817520657e-5 Iter 60: T = 635.1088081732584 K, F = -0.2949991488919541, relative_change = 7.955225321503384e-6 Iter 65: T = 635.0933750725728 K, F = -0.12337318649474371, relative_change = 3.3273826490338883e-6 Iter 70: T = 635.0869203684342 K, F = -0.05159631828263733, relative_change = 1.3916233058049393e-6 Iter 75: T = 635.0842208646136 K, F = -0.021578227679077244, relative_change = 5.820061050245118e-7 Iter 80: T = 635.0830918877273 K, F = -0.009024277966935279, relative_change = 2.4340411087230995e-7 Iter 85: T = 635.0826197339856 K, F = -0.0037740617709488, relative_change = 1.0179489202777832e-7 Iter 90: T = 635.0824222732805 K, F = -0.0015783578711666135, relative_change = 4.2571907050120606e-8 Iter 95: T = 635.0823396927904 K, F = -0.0006600881399653202, relative_change = 1.7804091739715935e-8 Iter 100: T = 635.0823051566318 K, F = -0.0002760567473181208, relative_change = 7.445885828801626e-9 Iter 105: T = 635.0822907131959 K, F = -0.00011545022913922454, relative_change = 3.1139587295350486e-9 Iter 110: T = 635.0822846727782 K, F = -4.8282664839416345e-5, relative_change = 1.3022947948324705e-9 Iter 115: T = 635.0822821466033 K, F = -2.019238750744501e-5, relative_change = 5.446352584648084e-10 Iter 120: T = 635.0822810901269 K, F = -8.444698091747416e-6, relative_change = 2.2777298437774707e-10 Iter 125: T = 635.0822806482958 K, F = -3.531673755718945e-6, relative_change = 9.525738695611153e-11 Iter 130: T = 635.0822804635167 K, F = -1.476987592952117e-6, relative_change = 3.983776209177841e-11 Iter 135: T = 635.08228038624 K, F = -6.176945706037884e-7, relative_change = 1.6660647307245397e-11 Iter 140: T = 635.0822803539219 K, F = -2.583278927992261e-7, relative_change = 6.967699114446692e-12 Iter 145: T = 635.082280340406 K, F = -1.0803526750979842e-7, relative_change = 2.9139603535509564e-12 Iter 150: T = 635.0822803347535 K, F = -4.518156720978439e-8, relative_change = 1.2186510812707313e-12 Iter 155: T = 635.0822803323896 K, F = -1.8895564946053156e-8, relative_change = 5.096569702024502e-13 Converged in 160 iterations to T = 635.082280331401 K Iter 1: T = 966.4779494880664 K, F = -7638.031096846266, relative_change = 0.033522050511933583 Iter 2: T = 934.9949919854009 K, F = -6476.026216279841, relative_change = 0.03257493615797622 Iter 3: T = 905.5214057705339 K, F = -5489.393940605921, relative_change = 0.03152272094236765 Iter 5: T = 852.4777339025562 K, F = -3940.6814397013086, relative_change = 0.029098085268263345 Iter 10: T = 752.4111076346386 K, F = -1709.5056005036895, relative_change = 0.021461266156296042 Iter 15: T = 692.4050895750205 K, F = -733.3993681499953, relative_change = 0.013272633113611902 Iter 20: T = 660.8775661817441 K, F = -311.32641417318945, relative_change = 0.006963784235947293 Iter 25: T = 645.9641605834353 K, F = -131.1842146006794, relative_change = 0.0032629835814489204 Iter 30: T = 639.3483061317756 K, F = -55.052505523672956, relative_change = 0.0014373713349396296 Iter 35: T = 636.5077418623139 K, F = -23.05828951184221, relative_change = 0.0006148693824050477 Iter 40: T = 635.3062626989656 K, F = -9.649433497526937, relative_change = 0.00025963094729465174 Iter 45: T = 634.8013763617417 K, F = -4.0365982675752585, relative_change = 0.00010902162463868966 Iter 50: T = 634.5898011182669 K, F = -1.6883448856682068, relative_change = 4.567171306008219e-5 Iter 55: T = 634.5012430917487 K, F = -0.7061194976854677, relative_change = 1.91140564157798e-5 Iter 60: T = 634.464193976794 K, F = -0.2953134700266457, relative_change = 7.996107906871124e-6 Iter 65: T = 634.4486973034409 K, F = -0.12350464567800828, relative_change = 3.344484484388107e-6 Iter 70: T = 634.4422160087682 K, F = -0.051651297190249856, relative_change = 1.3987762410987775e-6 Iter 75: T = 634.4395053838242 K, F = -0.021601220709433266, relative_change = 5.849976780690692e-7 Iter 80: T = 634.4383717558383 K, F = -0.00903389395996973, relative_change = 2.4465524517452e-7 Iter 85: T = 634.4378976569316 K, F = -0.003778083300433055, relative_change = 1.0231813532496092e-7 Iter 90: T = 634.4376993827317 K, F = -0.0015800397238607822, relative_change = 4.279073434173476e-8 Iter 95: T = 634.4376164620279 K, F = -0.0006607915112724072, relative_change = 1.7895608054671415e-8 Iter 100: T = 634.4375817835878 K, F = -0.0002763509071422865, relative_change = 7.484159106768578e-9 Iter 105: T = 634.437567280648 K, F = -0.00011557325023975329, relative_change = 3.1299650736211588e-9 Iter 110: T = 634.437561215345 K, F = -4.833411353655226e-5, relative_change = 1.3089888344043827e-9 Iter 115: T = 634.4375586787628 K, F = -2.021390392498157e-5, relative_change = 5.474347847753949e-10 Iter 120: T = 634.4375576179339 K, F = -8.453696403010191e-6, relative_change = 2.289437767664586e-10 Iter 125: T = 634.4375571742825 K, F = -3.5354366270667903e-6, relative_change = 9.574701740243509e-11 Iter 130: T = 634.4375569887422 K, F = -1.4785622911572815e-6, relative_change = 4.004255896861755e-11 Iter 135: T = 634.437556911147 K, F = -6.183524922653838e-7, relative_change = 1.6746278663691603e-11 Iter 140: T = 634.4375568786958 K, F = -2.5860268126898234e-7, relative_change = 7.003501431517145e-12 Iter 145: T = 634.4375568651243 K, F = -1.0815073014924792e-7, relative_change = 2.9289479512750593e-12 Iter 150: T = 634.4375568594485 K, F = -4.523007712808891e-8, relative_change = 1.2249250796841949e-12 Iter 155: T = 634.4375568570748 K, F = -1.8915704336208705e-8, relative_change = 5.122768324296436e-13 Converged in 160 iterations to T = 634.4375568560822 K Iter 1: T = 976.3774846295939 K, F = -5382.412597960233, relative_change = 0.023622515370406088 Iter 2: T = 954.9178142432821 K, F = -4551.259736915745, relative_change = 0.02197886649798457 Iter 3: T = 935.5298486451143 K, F = -3846.7125565134525, relative_change = 0.020303281925399704 Iter 5: T = 902.549961788978 K, F = -2744.1112148184807, relative_change = 0.016949353724560315 Iter 10: T = 848.2009562685832 K, F = -1170.2401206827685, relative_change = 0.009548419794973536 Iter 15: T = 821.3474069922889 K, F = -494.56680377995144, relative_change = 0.0046803474999043415 Iter 20: T = 809.1345475099625 K, F = -207.86885695803113, relative_change = 0.002110294055024037 Iter 25: T = 803.8268452472703 K, F = -87.12626755035346, relative_change = 0.0009124682877532452 Iter 30: T = 801.5695840499611 K, F = -36.47197240455611, relative_change = 0.000387102066872838 Iter 35: T = 800.6188082085625 K, F = -15.259161884532041, relative_change = 0.00016287258302405936 Iter 40: T = 800.2199844369575 K, F = -6.38264441885067, relative_change = 6.828852351940897e-5 Iter 45: T = 800.0529809156684 K, F = -2.6694875382409977, relative_change = 2.8589493467619387e-5 Iter 50: T = 799.9831011210665 K, F = -1.116444727741934, relative_change = 1.196179595804762e-5 Iter 55: T = 799.953870091636 K, F = -0.46691631992404214, relative_change = 5.003498469180474e-6 Iter 60: T = 799.9416441948907 K, F = -0.19527099598538045, relative_change = 2.0926859618269994e-6 Iter 65: T = 799.9365309809933 K, F = -0.08166484004385166, relative_change = 8.752147990322309e-7 Iter 70: T = 799.9343925392669 K, F = -0.03415324242983797, relative_change = 3.6603027271167177e-7 Iter 75: T = 799.9334982113452 K, F = -0.014283299285979822, relative_change = 1.530791043756471e-7 Iter 80: T = 799.9331241916691 K, F = -0.005973447286474531, relative_change = 6.401966226369969e-8 Iter 85: T = 799.9329677719887 K, F = -0.002498167158047071, relative_change = 2.677381400826942e-8 Iter 90: T = 799.932902355378 K, F = -0.0010447633695054304, relative_change = 1.1197133442050988e-8 Iter 95: T = 799.9328749973645 K, F = -0.00043693252331256094, relative_change = 4.682775744406169e-9 Iter 100: T = 799.9328635559154 K, F = -0.0001827303980893591, relative_change = 1.9583928605810057e-9 Iter 105: T = 799.9328587709647 K, F = -7.642003349606075e-5, relative_change = 8.190232924094119e-10 Iter 110: T = 799.9328567698411 K, F = -3.195977288561469e-5, relative_change = 3.425253500648861e-10 Iter 115: T = 799.9328559329473 K, F = -1.3365957189370725e-5, relative_change = 1.432481765259105e-10 Iter 120: T = 799.9328555829484 K, F = -5.589802191452442e-6, relative_change = 5.990809048610251e-11 Iter 125: T = 799.9328554365745 K, F = -2.337721304090934e-6, relative_change = 2.5054271106933984e-11 Iter 130: T = 799.9328553753594 K, F = -9.77662979906313e-7, relative_change = 1.0477995523181364e-11 Iter 135: T = 799.9328553497585 K, F = -4.088717756589588e-7, relative_change = 4.382038313420786e-12 Iter 140: T = 799.9328553390518 K, F = -1.7099494398209458e-7, relative_change = 1.8326195168911065e-12 Iter 145: T = 799.9328553345741 K, F = -7.151212033651433e-8, relative_change = 7.664232893352537e-13 Iter 150: T = 799.9328553327016 K, F = -2.9907300524989466e-8, relative_change = 3.20528206070433e-13 Converged in 153 iterations to T = 799.9328553321533 K Iter 1: T = 965.2382834863979 K, F = -7920.490174553231, relative_change = 0.034761716513602076 Iter 2: T = 932.4541541096819 K, F = -6717.763940940502, relative_change = 0.033964804274340635 Iter 3: T = 901.6182030346243 K, F = -5696.444929726698, relative_change = 0.03306966990189462 Iter 5: T = 845.6775732514343 K, F = -4092.9303161489906, relative_change = 0.030966544267667005 Iter 10: T = 737.745758990669 K, F = -1780.7840539670603, relative_change = 0.023942783147509285 Iter 15: T = 670.3920402526442 K, F = -766.6304258606078, relative_change = 0.01563694621459164 Iter 20: T = 633.6171633817622 K, F = -326.3879349530427, relative_change = 0.008584009321138817 Iter 25: T = 615.7382542294105 K, F = -137.7843044208138, relative_change = 0.004136598821088212 Iter 30: T = 607.6839285609695 K, F = -57.87701784523841, relative_change = 0.00184843813621052 Iter 35: T = 604.1999769572268 K, F = -24.25185618250897, relative_change = 0.0007959035554475937 Iter 40: T = 602.7214734221789 K, F = -10.15084063653713, relative_change = 0.00033703128005199424 Iter 45: T = 602.0992899076846 K, F = -4.246691845173418, relative_change = 0.00014169421967000944 Iter 50: T = 601.8384034111851 K, F = -1.7762788413531925, relative_change = 5.9389301009398366e-5 Iter 55: T = 601.7291777334411 K, F = -0.7429068631140452, relative_change = 2.486031658748792e-5 Iter 60: T = 601.6834772510538 K, F = -0.3107005457235338, relative_change = 1.0400909777671552e-5 Iter 65: T = 601.6643610876765 K, F = -0.12994008250584185, relative_change = 4.35048966935528e-6 Iter 70: T = 601.6563658367237 K, F = -0.05434273985620436, relative_change = 1.8195500677245888e-6 Iter 75: T = 601.6530220147913 K, F = -0.022726825740770062, relative_change = 7.6097914129677e-7 Iter 80: T = 601.6516235688481 K, F = -0.009504637449916253, relative_change = 3.1825433814246877e-7 Iter 85: T = 601.6510387186121 K, F = -0.003974954204024328, relative_change = 1.3309842491645163e-7 Iter 90: T = 601.6507941266568 K, F = -0.0016623735479384116, relative_change = 5.566346622927472e-8 Iter 95: T = 601.6506918352749 K, F = -0.0006952245106167654, relative_change = 2.327914651968823e-8 Iter 100: T = 601.6506490557789 K, F = -0.00029075119938876126, relative_change = 9.73562059340307e-9 Iter 105: T = 601.6506311648797 K, F = -0.00012159562562524817, relative_change = 4.07155343465196e-9 Iter 110: T = 601.6506236826913 K, F = -5.0852742397411443e-5, relative_change = 1.7027723584948897e-9 Iter 115: T = 601.6506205535507 K, F = -2.1267223729137807e-5, relative_change = 7.12119738235272e-10 Iter 120: T = 601.6506192449067 K, F = -8.894207457199599e-6, relative_change = 2.978169991761729e-10 Iter 125: T = 601.6506186976161 K, F = -3.719663281942509e-6, relative_change = 1.245506096751491e-10 Iter 130: T = 601.6506184687325 K, F = -1.5556064795196889e-6, relative_change = 5.208851476699466e-11 Iter 135: T = 601.6506183730107 K, F = -6.505722220939703e-7, relative_change = 2.1784005961243952e-11 Iter 140: T = 601.6506183329789 K, F = -2.720766913433259e-7, relative_change = 9.110318680590644e-12 Iter 145: T = 601.6506183162371 K, F = -1.137867988720842e-7, relative_change = 3.810080144639044e-12 Iter 150: T = 601.6506183092355 K, F = -4.758750876687756e-8, relative_change = 1.5934381149028375e-12 Iter 155: T = 601.6506183063074 K, F = -1.9902636372304272e-8, relative_change = 6.664273925070375e-13 Iter 160: T = 601.6506183050827 K, F = -8.323389033559891e-9, relative_change = 2.7870350172450716e-13 Converged in 162 iterations to T = 601.6506183048235 K Iter 1: T = 964.5586309748672 K, F = -8075.3496458219515, relative_change = 0.035441369025132806 Iter 2: T = 931.0566747229691 K, F = -6850.364223405162, relative_change = 0.03473293916621544 Iter 3: T = 899.4637219850254 K, F = -5810.09126618988, relative_change = 0.03393236265380311 Iter 5: T = 841.8925075955599 K, F = -4176.648918076148, relative_change = 0.032030904952610066 Iter 10: T = 729.3547133626162 K, F = -1820.3368931532157, relative_change = 0.025461245047080715 Iter 15: T = 657.3888939635453 K, F = -785.3741100270609, relative_change = 0.017213843422809683 Iter 20: T = 617.0820910441158 K, F = -335.03999987851824, relative_change = 0.00974851920449194 Iter 25: T = 597.1004420915411 K, F = -141.62741563839506, relative_change = 0.004795412395344244 Iter 30: T = 587.9947433104389 K, F = -59.53417843990107, relative_change = 0.0021662950812277484 Iter 35: T = 584.0334473822523 K, F = -24.954669637653403, relative_change = 0.0009375210278162653 Iter 40: T = 582.3480189176673 K, F = -10.446560963661, relative_change = 0.0003978870763005649 Iter 45: T = 581.6379631657709 K, F = -4.370686352725992, relative_change = 0.00016743855997322911 Iter 50: T = 581.3400897139991 K, F = -1.8281914267060944, relative_change = 7.020791874907095e-5 Iter 55: T = 581.2153537364234 K, F = -0.7646272632393739, relative_change = 2.9393939899871303e-5 Iter 60: T = 581.1631593061295 K, F = -0.3197860171788395, relative_change = 1.2298528787155125e-5 Iter 65: T = 581.1413260079313 K, F = -0.13374003982634172, relative_change = 5.144377334265208e-6 Iter 70: T = 581.132194193298 K, F = -0.055931980686634936, relative_change = 2.1516124897987632e-6 Iter 75: T = 581.1283750074201 K, F = -0.023391474558081382, relative_change = 8.998602043112758e-7 Iter 80: T = 581.126777751699 K, F = -0.009782603153338343, relative_change = 3.763375602026754e-7 Iter 85: T = 581.1261097556329 K, F = -0.004091203065868632, relative_change = 1.5738978490602595e-7 Iter 90: T = 581.1258303908876 K, F = -0.0017109902602900906, relative_change = 6.582244905500532e-8 Iter 95: T = 581.1257135570726 K, F = -0.0007155566088609677, relative_change = 2.7527762494158284e-8 Iter 100: T = 581.125664695751 K, F = -0.00029925432754246417, relative_change = 1.1512443948551722e-8 Iter 105: T = 581.1256442613584 K, F = -0.00012515173467791962, relative_change = 4.814642393246749e-9 Iter 110: T = 581.1256357154507 K, F = -5.233995091658006e-5, relative_change = 2.013541121384139e-9 Iter 115: T = 581.1256321414498 K, F = -2.1889191572199707e-5, relative_change = 8.420869309802497e-10 Iter 120: T = 581.12563064676 K, F = -9.154321474191818e-6, relative_change = 3.521708211277829e-10 Iter 125: T = 581.1256300216629 K, F = -3.82844670210325e-6, relative_change = 1.4728204918621386e-10 Iter 130: T = 581.1256297602398 K, F = -1.6011023635242871e-6, relative_change = 6.159512092260437e-11 Iter 135: T = 581.1256296509096 K, F = -6.696003783668303e-7, relative_change = 2.575982476316112e-11 Iter 140: T = 581.1256296051863 K, F = -2.800347354003918e-7, relative_change = 1.0773060988717906e-11 Iter 145: T = 581.1256295860643 K, F = -1.17113559960913e-7, relative_change = 4.505410810764276e-12 Iter 150: T = 581.1256295780673 K, F = -4.8978238631480764e-8, relative_change = 1.8842146537990256e-12 Iter 155: T = 581.1256295747228 K, F = -2.0483112816993554e-8, relative_change = 7.879944727422014e-13 Iter 160: T = 581.1256295733241 K, F = -8.566542142318667e-9, relative_change = 3.295586915450284e-13 Converged in 163 iterations to T = 581.1256295729146 K Iter 1: T = 964.3079280216664 K, F = -8132.472552188823, relative_change = 0.03569207197833359 Iter 2: T = 930.5403875758129 K, F = -6899.288266766684, relative_change = 0.0350173834152018 Iter 3: T = 898.6663738151082 K, F = -5852.0351839718405, relative_change = 0.034253229828896566 Iter 5: T = 840.4858906422293 K, F = -4207.5751135952305, relative_change = 0.03243094701776908 Iter 10: T = 726.1920290247824 K, F = -1835.0171087175354, relative_change = 0.0260531823602628 Iter 15: T = 652.4019571869801 K, F = -792.3947370784264, relative_change = 0.017857897301117847 Iter 20: T = 610.6423775314331 K, F = -338.31669045994914, relative_change = 0.010245065589664978 Iter 25: T = 589.7687971474951 K, F = -143.09556244487524, relative_change = 0.005084614712458641 Iter 30: T = 580.2087510658006 K, F = -60.170442604513696, relative_change = 0.002308020324578116 Iter 35: T = 576.039222564168 K, F = -25.22517638970611, relative_change = 0.0010011300013120414 Iter 40: T = 574.2631383418365 K, F = -10.560506073359718, relative_change = 0.0004253095490275448 Iter 45: T = 573.5145129845196 K, F = -4.418485708944366, relative_change = 0.00017905535598649133 Iter 50: T = 573.2003920205287 K, F = -1.8482075089323156, relative_change = 7.509252574746248e-5 Iter 55: T = 573.0688404494455 K, F = -0.7730027630725571, relative_change = 3.144137250735332e-5 Iter 60: T = 573.0137920242796 K, F = -0.3232895458540579, relative_change = 1.3155601655653289e-5 Iter 65: T = 572.9907645150553 K, F = -0.13520539644348842, relative_change = 5.5029576292429375e-6 Iter 70: T = 572.9811331557486 K, F = -0.056544834657444726, relative_change = 2.301599930815849e-6 Iter 75: T = 572.9771050348401 K, F = -0.023647781664908663, relative_change = 9.625910956074244e-7 Iter 80: T = 572.9754203965861 K, F = -0.00988979459099426, relative_change = 4.0257312937311627e-7 Iter 85: T = 572.974715855505 K, F = -0.004136031935296214, relative_change = 1.6836194639438918e-7 Iter 90: T = 572.9744212070938 K, F = -0.0017297382517502125, relative_change = 7.041116131630826e-8 Iter 95: T = 572.974297981449 K, F = -0.0007233972476130002, relative_change = 2.94468208691055e-8 Iter 100: T = 572.9742464469847 K, F = -0.0003025333776635608, relative_change = 1.2315017817811224e-8 Iter 105: T = 572.9742248946512 K, F = -0.00012652307274951813, relative_change = 5.150288494906396e-9 Iter 110: T = 572.9742158812072 K, F = -5.291346055485979e-5, relative_change = 2.1539123387467835e-9 Iter 115: T = 572.9742121116772 K, F = -2.2129041644169956e-5, relative_change = 9.007919125891415e-10 Iter 120: T = 572.9742105352146 K, F = -9.254629978416862e-6, relative_change = 3.767219603004732e-10 Iter 125: T = 572.9742098759191 K, F = -3.870396583449676e-6, relative_change = 1.5754961564593302e-10 Iter 130: T = 572.9742096001938 K, F = -1.6186459411149379e-6, relative_change = 6.588912556512828e-11 Iter 135: T = 572.9742094848823 K, F = -6.769369195191999e-7, relative_change = 2.755561336772907e-11 Iter 140: T = 572.9742094366575 K, F = -2.8310259947428307e-7, relative_change = 1.1524066058000044e-11 Iter 145: T = 572.9742094164893 K, F = -1.1839627311882595e-7, relative_change = 4.819477020715079e-12 Iter 150: T = 572.9742094080549 K, F = -4.9514571887065983e-8, relative_change = 2.015556192190975e-12 Iter 155: T = 572.9742094045274 K, F = -2.070715271473844e-8, relative_change = 8.429120617916675e-13 Iter 160: T = 572.9742094030521 K, F = -8.65938654115439e-9, relative_change = 3.524917917927825e-13 Converged in 163 iterations to T = 572.9742094026202 K Iter 1: T = 979.9537639265204 K, F = -4567.55395823568, relative_change = 0.020046236073479606 Iter 2: T = 961.9593092572057 K, F = -3858.425028783095, relative_change = 0.018362554777292477 Iter 3: T = 945.8970828944559 K, F = -3257.8715703326684, relative_change = 0.01669740726887149 Iter 5: T = 919.0503247911959 K, F = -2319.4435929875654, relative_change = 0.013512294167350749 Iter 10: T = 876.3514386876715 K, F = -984.8882373824176, relative_change = 0.007121684889317017 Iter 15: T = 856.0991144217686 K, F = -415.0783836235735, relative_change = 0.0033460368667292874 Iter 20: T = 847.1015695217525 K, F = -174.2066148739534, relative_change = 0.001475955704735086 Iter 25: T = 843.2357009254232 K, F = -72.96799044050013, relative_change = 0.0006317626532254679 Iter 30: T = 841.6000389953333 K, F = -30.53618741167294, relative_change = 0.00026683515827787533 Iter 35: T = 840.9126086091107 K, F = -12.77414359231544, relative_change = 0.00011205939504063304 Iter 40: T = 840.6245211282406 K, F = -5.342921666837738, relative_change = 4.6946536637356535e-5 Iter 45: T = 840.5039348951775 K, F = -2.23458264302528, relative_change = 1.964797389979596e-5 Iter 50: T = 840.4534859678731 K, F = -0.9345482226303394, relative_change = 8.219533645323848e-6 Iter 55: T = 840.4323844169211 K, F = -0.3908425645592374, relative_change = 3.437947436141406e-6 Iter 60: T = 840.4235589352364 K, F = -0.16345561182409107, relative_change = 1.437867699455379e-6 Iter 65: T = 840.4198679152548 K, F = -0.06835919101656329, relative_change = 6.01346916212697e-7 Iter 70: T = 840.4183242694526 K, F = -0.028588647913976528, relative_change = 2.5149281835993616e-7 Iter 75: T = 840.4176786953408 K, F = -0.011956117098670171, relative_change = 1.0517771222679511e-7 Iter 80: T = 840.4174087080123 K, F = -0.005000191500700746, relative_change = 4.398664740586227e-8 Iter 85: T = 840.4172957959954 K, F = -0.0020911398947449644, relative_change = 1.8395753853401747e-8 Iter 90: T = 840.4172485748255 K, F = -0.000874539694815768, relative_change = 7.693326163979616e-9 Iter 95: T = 840.4172288263655 K, F = -0.00036574294901159377, relative_change = 3.2174412784415362e-9 Iter 100: T = 840.4172205673232 K, F = -0.00015295806908910414, relative_change = 1.3455724292574495e-9 Iter 105: T = 840.417217113293 K, F = -6.396888933379863e-5, relative_change = 5.627344540547886e-10 Iter 110: T = 840.4172156687763 K, F = -2.675255325157444e-5, relative_change = 2.3534226916529165e-10 Iter 115: T = 840.4172150646621 K, F = -1.1188236940240515e-5, relative_change = 9.84229450447678e-11 Iter 120: T = 840.4172148120143 K, F = -4.6790535257468235e-6, relative_change = 4.1161644246996185e-11 Iter 125: T = 840.417214706354 K, F = -1.95683150816528e-6, relative_change = 1.721425112908321e-11 Iter 130: T = 840.4172146621657 K, F = -8.183725199728542e-7, relative_change = 7.199224879963583e-12 Iter 135: T = 840.4172146436856 K, F = -3.422535246322411e-7, relative_change = 3.0108050183886424e-12 Iter 140: T = 840.417214635957 K, F = -1.4313303164925628e-7, relative_change = 1.259141598230993e-12 Iter 145: T = 840.4172146327247 K, F = -5.986017748149663e-8, relative_change = 5.265901146460793e-13 Converged in 150 iterations to T = 840.417214631373 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: 10%|██▉ | ETA: 0:00:10 Bin 1 ray tracing: 19%|█████▊ | ETA: 0:00:09 Bin 1 ray tracing: 28%|████████▍ | ETA: 0:00:08 Bin 1 ray tracing: 37%|███████████ | ETA: 0:00:07 Bin 1 ray tracing: 45%|█████████████▌ | ETA: 0:00:06 Bin 1 ray tracing: 55%|████████████████▍ | ETA: 0:00:05 Bin 1 ray tracing: 64%|███████████████████▎ | ETA: 0:00:04 Bin 1 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 1 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:02 Bin 1 ray tracing: 90%|███████████████████████████ | ETA: 0:00:01 Bin 1 ray tracing: 99%|█████████████████████████████▉| ETA: 0:00:00 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 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: 8%|██▍ | ETA: 0:00:12 Bin 2 ray tracing: 17%|█████ | ETA: 0:00:10 Bin 2 ray tracing: 26%|███████▊ | ETA: 0:00:09 Bin 2 ray tracing: 35%|██████████▌ | ETA: 0:00:08 Bin 2 ray tracing: 44%|█████████████▏ | ETA: 0:00:07 Bin 2 ray tracing: 52%|███████████████▊ | ETA: 0:00:06 Bin 2 ray tracing: 62%|██████████████████▌ | ETA: 0:00:04 Bin 2 ray tracing: 71%|█████████████████████▍ | ETA: 0:00:03 Bin 2 ray tracing: 80%|████████████████████████ | ETA: 0:00:02 Bin 2 ray tracing: 90%|██████████████████████████▉ | ETA: 0:00:01 Bin 2 ray tracing: 99%|█████████████████████████████▊| 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: 10%|███ | ETA: 0:00:09 Bin 3 ray tracing: 19%|█████▉ | ETA: 0:00:08 Bin 3 ray tracing: 29%|████████▊ | ETA: 0:00:07 Bin 3 ray tracing: 39%|███████████▋ | ETA: 0:00:06 Bin 3 ray tracing: 48%|██████████████▌ | ETA: 0:00:05 Bin 3 ray tracing: 58%|█████████████████▍ | ETA: 0:00:04 Bin 3 ray tracing: 68%|████████████████████▎ | ETA: 0:00:03 Bin 3 ray tracing: 77%|███████████████████████▎ | ETA: 0:00:02 Bin 3 ray tracing: 87%|██████████████████████████▏ | ETA: 0:00:01 Bin 3 ray tracing: 97%|█████████████████████████████ | ETA: 0:00:00 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 10%|███ | ETA: 0:00:09 Bin 4 ray tracing: 20%|██████ | ETA: 0:00:08 Bin 4 ray tracing: 30%|█████████▏ | ETA: 0:00:07 Bin 4 ray tracing: 40%|████████████▏ | ETA: 0:00:06 Bin 4 ray tracing: 50%|███████████████▏ | ETA: 0:00:05 Bin 4 ray tracing: 61%|██████████████████▏ | ETA: 0:00:04 Bin 4 ray tracing: 71%|█████████████████████▎ | ETA: 0:00:03 Bin 4 ray tracing: 81%|████████████████████████▎ | ETA: 0:00:02 Bin 4 ray tracing: 91%|███████████████████████████▍ | ETA: 0:00:01 Bin 4 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 4 Energy per ray: 0.0001853335835185918 Processing spectral bin 5/10 Bin 5 ray tracing: 10%|███ | ETA: 0:00:09 Bin 5 ray tracing: 20%|█████▉ | ETA: 0:00:08 Bin 5 ray tracing: 30%|████████▉ | ETA: 0:00:07 Bin 5 ray tracing: 40%|███████████▉ | ETA: 0:00:06 Bin 5 ray tracing: 49%|██████████████▊ | ETA: 0:00:05 Bin 5 ray tracing: 59%|█████████████████▊ | ETA: 0:00:04 Bin 5 ray tracing: 69%|████████████████████▊ | ETA: 0:00:03 Bin 5 ray tracing: 79%|███████████████████████▉ | ETA: 0:00:02 Bin 5 ray tracing: 90%|██████████████████████████▉ | ETA: 0:00:01 Bin 5 ray tracing: 99%|██████████████████████████████| ETA: 0:00:00 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 5 Energy per ray: 0.04303963948070305 Processing spectral bin 6/10 Bin 6 ray tracing: 10%|███ | ETA: 0:00:09 Bin 6 ray tracing: 20%|██████▏ | ETA: 0:00:08 Bin 6 ray tracing: 30%|█████████▏ | ETA: 0:00:07 Bin 6 ray tracing: 41%|████████████▎ | ETA: 0:00:06 Bin 6 ray tracing: 51%|███████████████▎ | ETA: 0:00:05 Bin 6 ray tracing: 61%|██████████████████▍ | ETA: 0:00:04 Bin 6 ray tracing: 71%|█████████████████████▍ | ETA: 0:00:03 Bin 6 ray tracing: 82%|████████████████████████▌ | ETA: 0:00:02 Bin 6 ray tracing: 92%|███████████████████████████▌ | 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: 0:00:09 Bin 7 ray tracing: 29%|████████▉ | ETA: 0:00:08 Bin 7 ray tracing: 39%|███████████▋ | ETA: 0:00:07 Bin 7 ray tracing: 49%|██████████████▋ | ETA: 0:00:05 Bin 7 ray tracing: 59%|█████████████████▋ | ETA: 0:00:04 Bin 7 ray tracing: 69%|████████████████████▋ | ETA: 0:00:03 Bin 7 ray tracing: 79%|███████████████████████▊ | ETA: 0:00:02 Bin 7 ray tracing: 89%|██████████████████████████▊ | ETA: 0:00:01 Bin 7 ray tracing: 98%|█████████████████████████████▌| ETA: 0:00:00 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 10%|███ | ETA: 0:00:10 Bin 8 ray tracing: 20%|█████▉ | ETA: 0:00:08 Bin 8 ray tracing: 29%|████████▉ | ETA: 0:00:08 Bin 8 ray tracing: 39%|███████████▋ | ETA: 0:00:07 Bin 8 ray tracing: 48%|██████████████▎ | ETA: 0:00:06 Bin 8 ray tracing: 57%|█████████████████ | ETA: 0:00:05 Bin 8 ray tracing: 66%|███████████████████▊ | ETA: 0:00:04 Bin 8 ray tracing: 76%|██████████████████████▊ | ETA: 0:00:03 Bin 8 ray tracing: 86%|█████████████████████████▊ | ETA: 0:00:02 Bin 8 ray tracing: 96%|████████████████████████████▊ | ETA: 0:00:00 Bin 8 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 8 Energy per ray: 1.0195075180910974e-6 Processing spectral bin 9/10 Bin 9 ray tracing: 9%|██▉ | ETA: 0:00:10 Bin 9 ray tracing: 20%|█████▉ | ETA: 0:00:08 Bin 9 ray tracing: 30%|████████▉ | ETA: 0:00:07 Bin 9 ray tracing: 40%|███████████▉ | ETA: 0:00:06 Bin 9 ray tracing: 50%|██████████████▉ | ETA: 0:00:05 Bin 9 ray tracing: 60%|█████████████████▉ | ETA: 0:00:04 Bin 9 ray tracing: 70%|█████████████████████ | ETA: 0:00:03 Bin 9 ray tracing: 80%|████████████████████████ | ETA: 0:00:02 Bin 9 ray tracing: 90%|███████████████████████████▏ | ETA: 0:00:01 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 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: 19%|█████▌ | ETA: 0:00:09 Bin 10 ray tracing: 29%|████████▍ | ETA: 0:00:08 Bin 10 ray tracing: 39%|███████████▎ | ETA: 0:00:06 Bin 10 ray tracing: 48%|██████████████ | ETA: 0:00:05 Bin 10 ray tracing: 58%|████████████████▉ | ETA: 0:00:04 Bin 10 ray tracing: 68%|███████████████████▊ | ETA: 0:00:03 Bin 10 ray tracing: 79%|██████████████████████▊ | ETA: 0:00:02 Bin 10 ray tracing: 89%|█████████████████████████▊ | ETA: 0:00:01 Bin 10 ray tracing: 99%|████████████████████████████▊| ETA: 0:00:00 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Iter 1: T = 967.2334096436446 K, F = -7465.8987817696425, relative_change = 0.03276659035635538 Iter 2: T = 936.5382770844178 K, F = -6328.786699631376, relative_change = 0.03173497963695826 Iter 3: T = 907.8834684086447 K, F = -5363.364978467509, relative_change = 0.03059651631642841 Iter 5: T = 856.5580903588968 K, F = -3848.18033234899, relative_change = 0.028003454171293785 Iter 10: T = 760.9770855774037 K, F = -1666.5753819511951, relative_change = 0.020107085100178168 Iter 15: T = 704.893250695149 K, F = -713.6699443116779, relative_change = 0.012082593483227525 Iter 20: T = 675.99542537347 K, F = -302.5153179416071, relative_change = 0.00620050596085477 Iter 25: T = 662.5030949549438 K, F = -127.36248446522265, relative_change = 0.0028678293217466832 Iter 30: T = 656.5594568045198 K, F = -53.42598462043357, relative_change = 0.0012552306862827183 Iter 35: T = 654.0159282753941 K, F = -22.37273805479802, relative_change = 0.0005354059868653537 Iter 40: T = 652.9416530451969 K, F = -9.361766317402397, relative_change = 0.0002257954153100567 Iter 45: T = 652.4905017379411 K, F = -3.9161219354394428, relative_change = 9.476362184099982e-5 Iter 50: T = 652.3014941969768 K, F = -1.6379302535383413, relative_change = 3.968987236302255e-5 Iter 55: T = 652.2223909687241 K, F = -0.6850302381513509, relative_change = 1.6609049033885614e-5 Iter 60: T = 652.1892988933255 K, F = -0.28649276921025857, relative_change = 6.947900598849829e-6 Iter 65: T = 652.1754576141054 K, F = -0.11981556216939804, relative_change = 2.906009586632799e-6 Iter 70: T = 652.1696687147758 K, F = -0.050108450230436585, relative_change = 1.2153829432954685e-6 Iter 75: T = 652.1672476735324 K, F = -0.020955978755868854, relative_change = 5.082972868374917e-7 Iter 80: T = 652.1662351556546 K, F = -0.00876404520667784, relative_change = 2.1257767916295756e-7 Iter 85: T = 652.1658117069217 K, F = -0.003665229177769902, relative_change = 8.890281855317257e-8 Iter 90: T = 652.1656346153135 K, F = -0.00153284275472243, relative_change = 3.718027191840198e-8 Iter 95: T = 652.1655605534371 K, F = -0.0006410531699559407, relative_change = 1.5549242729869888e-8 Iter 100: T = 652.165529579867 K, F = -0.0002680960953723721, relative_change = 6.502880571944989e-9 Iter 105: T = 652.1655166263486 K, F = -0.0001121209893173436, relative_change = 2.7195825850228667e-9 Iter 110: T = 652.1655112090322 K, F = -4.68903368949225e-5, relative_change = 1.137361964472433e-9 Iter 115: T = 652.1655089434457 K, F = -1.9610098121125574e-5, relative_change = 4.756583460130864e-10 Iter 120: T = 652.1655079959504 K, F = -8.201177563005313e-6, relative_change = 1.989260103578679e-10 Iter 125: T = 652.1655075996965 K, F = -3.429830157219982e-6, relative_change = 8.31932275716449e-11 Iter 130: T = 652.1655074339785 K, F = -1.434396717459041e-6, relative_change = 3.479242038756863e-11 Iter 135: T = 652.1655073646731 K, F = -5.998809616825085e-7, relative_change = 1.4550584477695355e-11 Iter 140: T = 652.1655073356889 K, F = -2.5087712429705533e-7, relative_change = 6.085221943266131e-12 Iter 145: T = 652.1655073235672 K, F = -1.0491906837772902e-7, relative_change = 2.544894513617431e-12 Iter 150: T = 652.1655073184979 K, F = -4.387858704157921e-8, relative_change = 1.0643096355898983e-12 Iter 155: T = 652.1655073163778 K, F = -1.83492211425218e-8, relative_change = 4.4507478897058014e-13 Converged in 159 iterations to T = 652.1655073156126 K Iter 1: T = 970.4542235399279 K, F = -6732.033271716541, relative_change = 0.02954577646007214 Iter 2: T = 943.0748744030808 K, F = -5701.70487184197, relative_change = 0.028212921818172223 Iter 3: T = 917.8165233799685 K, F = -4827.312533265877, relative_change = 0.02678297525326345 Iter 5: T = 873.4433774750288 K, F = -3456.1061011585925, relative_change = 0.023678149520492516 Iter 10: T = 794.8010597349487 K, F = -1487.3023276160259, relative_change = 0.015372971735587377 Iter 15: T = 752.0453078228602 K, F = -632.9998344823938, relative_change = 0.00839596726451247 Iter 20: T = 731.3241470153148 K, F = -267.162679370035, relative_change = 0.004032718818187614 Iter 25: T = 722.0063520077406 K, F = -112.21042574154215, relative_change = 0.0017989481292895733 Iter 30: T = 717.9794637802997 K, F = -47.01639322709947, relative_change = 0.0007739835506294955 Iter 35: T = 716.2712345211534 K, F = -19.67869888440103, relative_change = 0.0003276361943960862 Iter 40: T = 715.5525019005423 K, F = -8.232673147574584, relative_change = 0.00013772413150950873 Iter 45: T = 715.2511536314857 K, F = -3.4434951658078554, relative_change = 5.772171797584872e-5 Iter 50: T = 715.1249916522008 K, F = -1.4401971733116157, relative_change = 2.416164023760375e-5 Iter 55: T = 715.0722056305557 K, F = -0.6023227751886521, relative_change = 1.0108491850288591e-5 Iter 60: T = 715.0501257592749 K, F = -0.25190122274155713, relative_change = 4.228157940718187e-6 Iter 65: T = 715.040890971423 K, F = -0.10534856232596745, relative_change = 1.7683826439286322e-6 Iter 70: T = 715.0370287465622 K, F = -0.04405810780577046, relative_change = 7.395791181769125e-7 Iter 75: T = 715.0354134959107 K, F = -0.018425640997903336, relative_change = 3.093043838016039e-7 Iter 80: T = 715.0347379749345 K, F = -0.007705825587032034, relative_change = 1.2935541053730147e-7 Iter 85: T = 715.0344554633192 K, F = -0.003222668720308186, relative_change = 5.409808654779373e-8 Iter 90: T = 715.0343373134696 K, F = -0.0013477586202852443, relative_change = 2.2624484914165738e-8 Iter 95: T = 715.0342879017708 K, F = -0.0005636487646661914, relative_change = 9.461833133031246e-9 Iter 100: T = 715.0342672372046 K, F = -0.00023572464634835644, relative_change = 3.957052185339596e-9 Iter 105: T = 715.0342585950356 K, F = -9.858286127817362e-5, relative_change = 1.6548865600139378e-9 Iter 110: T = 715.0342549807773 K, F = -4.1228530078152303e-5, relative_change = 6.920933423196851e-10 Iter 115: T = 715.0342534692512 K, F = -1.724226406996099e-5, relative_change = 2.894417110389728e-10 Iter 120: T = 715.034252837113 K, F = -7.210919878652966e-6, relative_change = 1.2104796609997045e-10 Iter 125: T = 715.0342525727452 K, F = -3.0156929815561284e-6, relative_change = 5.062370801297976e-11 Iter 130: T = 715.0342524621835 K, F = -1.2611993228661689e-6, relative_change = 2.1171447725093783e-11 Iter 135: T = 715.0342524159453 K, F = -5.274487336892619e-7, relative_change = 8.854154211746402e-12 Iter 140: T = 715.0342523966078 K, F = -2.2058453252871146e-7, relative_change = 3.702899150644875e-12 Iter 145: T = 715.0342523885207 K, F = -9.225144625979453e-8, relative_change = 1.5486026971319328e-12 Iter 150: T = 715.0342523851386 K, F = -3.8581135286541723e-8, relative_change = 6.476521787662766e-13 Iter 155: T = 715.0342523837242 K, F = -1.613620848051056e-8, relative_change = 2.708746256923514e-13 Converged in 157 iterations to T = 715.0342523834248 K Iter 1: T = 974.3676015476161 K, F = -5840.366370081259, relative_change = 0.025632398452383878 Iter 2: T = 950.9247672153493 K, F = -4941.221430882051, relative_change = 0.02405953799678051 Iter 3: T = 929.5971507636799 K, F = -4178.699176023993, relative_change = 0.022428290004607183 Iter 5: T = 892.935786114486 K, F = -2984.4542539553254, relative_change = 0.019074749548763835 Iter 10: T = 831.14639976309 K, F = -1276.2637216570208, relative_change = 0.011218780497823773 Iter 15: T = 799.7582758143539 K, F = -540.4340295072237, relative_change = 0.005666826272267944 Iter 20: T = 785.2370284314816 K, F = -227.39413442975825, relative_change = 0.0025975105500695415 Iter 25: T = 778.8708386129202 K, F = -95.35963822019684, relative_change = 0.0011319631506837274 Iter 30: T = 776.152575988793 K, F = -39.92775375031855, relative_change = 0.0004818869014318079 Iter 35: T = 775.0056272325373 K, F = -16.706646013718405, relative_change = 0.0002030544980903323 Iter 40: T = 774.5241577987846 K, F = -6.988394332071166, relative_change = 8.51892698617394e-5 Iter 45: T = 774.3224842761668 K, F = -2.922888715241723, relative_change = 3.567451763547494e-5 Iter 50: T = 774.2380863554578 K, F = -1.2224322728556987, relative_change = 1.4927806635261359e-5 Iter 55: T = 774.202780393207 K, F = -0.5112437030385424, relative_change = 6.244439405347997e-6 Iter 60: T = 774.1880133130936 K, F = -0.21380960893364598, relative_change = 2.611753245636729e-6 Iter 65: T = 774.1818372455566 K, F = -0.08941797443495081, relative_change = 1.092310848880708e-6 Iter 70: T = 774.1792542881818 K, F = -0.037395707202688255, relative_change = 4.5682521680524294e-7 Iter 75: T = 774.1781740554354 K, F = -0.015639338769355304, relative_change = 1.9105112116807995e-7 Iter 80: T = 774.1777222876041 K, F = -0.006540559542998037, relative_change = 7.990009833597912e-8 Iter 85: T = 774.1775333526226 K, F = -0.0027353403378508334, relative_change = 3.3415216923009455e-8 Iter 90: T = 774.1774543377082 K, F = -0.0011439520336025133, relative_change = 1.3974650027580017e-8 Iter 95: T = 774.177421292719 K, F = -0.00047841441125862083, relative_change = 5.844366833416843e-9 Iter 100: T = 774.1774074729083 K, F = -0.0002000786218835371, relative_change = 2.444184233748299e-9 Iter 105: T = 774.1774016932981 K, F = -8.36752689978848e-5, relative_change = 1.022187071179827e-9 Iter 110: T = 774.1773992761961 K, F = -3.499399675699344e-5, relative_change = 4.2749084662696136e-10 Iter 115: T = 774.1773982653351 K, F = -1.4634907653077178e-5, relative_change = 1.7878178206567332e-10 Iter 120: T = 774.177397842581 K, F = -6.120491375716242e-6, relative_change = 7.476865478430354e-11 Iter 125: T = 774.1773976657801 K, F = -2.559661776202482e-6, relative_change = 3.1269134481079265e-11 Iter 130: T = 774.17739759184 K, F = -1.0704819635165563e-6, relative_change = 1.3077135738476747e-11 Iter 135: T = 774.1773975609173 K, F = -4.476884817306015e-7, relative_change = 5.4690160551840804e-12 Iter 140: T = 774.177397547985 K, F = -1.8722785899427663e-7, relative_change = 2.28719792597891e-12 Iter 145: T = 774.1773975425766 K, F = -7.830047721313349e-8, relative_change = 9.565279977723247e-13 Iter 150: T = 774.1773975403148 K, F = -3.274696491750717e-8, relative_change = 4.0004084139662795e-13 Converged in 154 iterations to T = 774.1773975394984 K Iter 1: T = 970.3746540043669 K, F = -6750.163266084276, relative_change = 0.029625345995633108 Iter 2: T = 942.9142218693489 K, F = -5717.183956022292, relative_change = 0.028298793689323233 Iter 3: T = 917.5737594973812 K, F = -4840.531221262126, relative_change = 0.02687462102515507 Iter 5: T = 873.0357829892092 K, F = -3465.7486924522286, relative_change = 0.023778775155379284 Iter 10: T = 794.012471386463 K, F = -1491.6648529474835, relative_change = 0.015473102563391667 Iter 15: T = 750.9798279643006 K, F = -634.9363741686082, relative_change = 0.008467111861342207 Iter 20: T = 730.099492768524 K, F = -268.0018665433638, relative_change = 0.00407195119301985 Iter 25: T = 720.7036597779298 K, F = -112.56769346362634, relative_change = 0.0018176211671524518 Iter 30: T = 716.6416790455996 K, F = -47.16702254258971, relative_change = 0.0007822504683632425 Iter 35: T = 714.9183029305569 K, F = -19.741915721457595, relative_change = 0.00033117876287094155 Iter 40: T = 714.1931500472996 K, F = -8.2591506983469, relative_change = 0.00013922099142765355 Iter 45: T = 713.8891015099672 K, F = -3.4545753580731864, relative_change = 5.835043189449102e-5 Iter 50: T = 713.7618075621696 K, F = -1.4448322640360263, relative_change = 2.4425052012573557e-5 Iter 55: T = 713.7085476669282 K, F = -0.6042614395006829, relative_change = 1.0218737237899766e-5 Iter 60: T = 713.6862695335961 K, F = -0.2527120327607188, relative_change = 4.274278483888959e-6 Iter 65: T = 713.676951815758 K, F = -0.10568765931224744, relative_change = 1.7876733613027119e-6 Iter 70: T = 713.6730549060624 K, F = -0.04419992336196066, relative_change = 7.47647173583657e-7 Iter 75: T = 713.6714251493571 K, F = -0.01848495015800622, relative_change = 3.12678619119116e-7 Iter 80: T = 713.6707435616988 K, F = -0.007730629421999424, relative_change = 1.3076656973342113e-7 Iter 85: T = 713.6704585129111 K, F = -0.0032330419860142623, relative_change = 5.468825256098639e-8 Iter 90: T = 713.6703393019833 K, F = -0.0013520968457264582, relative_change = 2.2871299820140018e-8 Iter 95: T = 713.6702894465285 K, F = -0.0005654630617986101, relative_change = 9.565054134985638e-9 Iter 100: T = 713.6702685963783 K, F = -0.00023648340929438572, relative_change = 4.000220490741091e-9 Iter 105: T = 713.6702598765957 K, F = -9.890018472313855e-5, relative_change = 1.672940058088727e-9 Iter 110: T = 713.6702562298785 K, F = -4.136123949893822e-5, relative_change = 6.9964354755338e-10 Iter 115: T = 713.6702547047777 K, F = -1.7297763799439814e-5, relative_change = 2.925992813350101e-10 Iter 120: T = 713.6702540669622 K, F = -7.234130783184689e-6, relative_change = 1.22368503917171e-10 Iter 125: T = 713.6702538002203 K, F = -3.0253997805873567e-6, relative_change = 5.1175968012792455e-11 Iter 130: T = 713.6702536886656 K, F = -1.2652581603544988e-6, relative_change = 2.1402398322989356e-11 Iter 135: T = 713.6702536420122 K, F = -5.291462968903815e-7, relative_change = 8.9507423667076e-12 Iter 140: T = 713.670253622501 K, F = -2.2129481835886367e-7, relative_change = 3.743299193655141e-12 Iter 145: T = 713.6702536143413 K, F = -9.254667265867766e-8, relative_change = 1.56546767667991e-12 Iter 150: T = 713.6702536109287 K, F = -3.87033683990623e-8, relative_change = 6.546845009998848e-13 Iter 155: T = 713.6702536095016 K, F = -1.6185927709244652e-8, relative_change = 2.7379208694157653e-13 Converged in 157 iterations to T = 713.6702536091996 K Iter 1: T = 969.3376237410924 K, F = -6986.451598041807, relative_change = 0.030662376258907553 Iter 2: T = 940.8165952881562 K, F = -5918.982536801654, relative_change = 0.02942321411487288 Iter 3: T = 914.3977540724183 K, F = -5012.923006625057, relative_change = 0.028080755960354174 Iter 5: T = 867.6803504682409 K, F = -3591.6192567872654, relative_change = 0.02511805371271372 Iter 10: T = 783.5296317092273 K, F = -1548.8133745607533, relative_change = 0.016848508089032797 Iter 15: T = 736.6745035165541 K, F = -660.4134421589855, relative_change = 0.00947249603191268 Iter 20: T = 713.5531030954589 K, F = -279.0791461788519, relative_change = 0.004636853243693228 Iter 25: T = 703.0456047399459 K, F = -117.2927237124503, relative_change = 0.0020891712305678143 Iter 30: T = 698.4807901425337 K, F = -49.161028187059536, relative_change = 0.0009030284991121062 Iter 35: T = 696.5398001468046 K, F = -20.57911906058673, relative_change = 0.00038304017893642467 Iter 40: T = 695.7223014754622 K, F = -8.60986540187339, relative_change = 0.00016115326813236644 Iter 45: T = 695.3793946540587 K, F = -3.601351834685288, relative_change = 6.756583711602994e-5 Iter 50: T = 695.2358077288037 K, F = -1.5062340876204743, relative_change = 2.8286615712523396e-5 Iter 55: T = 695.1757265498578 K, F = -0.6299435942212598, relative_change = 1.1835016372643282e-5 Iter 60: T = 695.1505943841581 K, F = -0.2634531728908822, relative_change = 4.950458038430893e-6 Iter 65: T = 695.1400828501388 K, F = -0.11017982971498608, relative_change = 2.0705003743386554e-6 Iter 70: T = 695.1356866327641 K, F = -0.0460786196943489, relative_change = 8.659359185757101e-7 Iter 75: T = 695.1338480527161 K, F = -0.019270646378537037, relative_change = 3.621496286591932e-7 Iter 80: T = 695.1330791314336 K, F = -0.008059217484982617, relative_change = 1.5145615425487918e-7 Iter 85: T = 695.1327575584698 K, F = -0.0033704615297360796, relative_change = 6.334092194987757e-8 Iter 90: T = 695.1326230726585 K, F = -0.0014095673553412569, relative_change = 2.648995613531091e-8 Iter 95: T = 695.1325668290586 K, F = -0.0005894979173413084, relative_change = 1.1078420572542866e-8 Iter 100: T = 695.1325433073087 K, F = -0.0002465350729132787, relative_change = 4.633128605352264e-9 Iter 105: T = 695.132533470231 K, F = -0.00010310391227441595, relative_change = 1.9376298545380675e-9 Iter 110: T = 695.1325293562476 K, F = -4.311928699474166e-5, relative_change = 8.103399599352282e-10 Iter 115: T = 695.1325276357305 K, F = -1.803300157499077e-5, relative_change = 3.388938677898921e-10 Iter 120: T = 695.1325269161897 K, F = -7.541616354411751e-6, relative_change = 1.4172945849871096e-10 Iter 125: T = 695.1325266152692 K, F = -3.1539947294989545e-6, relative_change = 5.927296550685754e-11 Iter 130: T = 695.1325264894206 K, F = -1.3190372522009497e-6, relative_change = 2.4788643077973167e-11 Iter 135: T = 695.1325264367892 K, F = -5.516376185843441e-7, relative_change = 1.036691573159341e-11 Iter 140: T = 695.1325264147781 K, F = -2.3070097898703068e-7, relative_change = 4.33555930223336e-12 Iter 145: T = 695.1325264055729 K, F = -9.648250076654818e-8, relative_change = 1.8131938822463107e-12 Iter 150: T = 695.1325264017231 K, F = -4.03489227585041e-8, relative_change = 7.582765716230632e-13 Iter 155: T = 695.1325264001131 K, F = -1.687434758590456e-8, relative_change = 3.171193073118638e-13 Converged in 158 iterations to T = 695.1325263996417 K Iter 1: T = 963.5724022748184 K, F = -8300.062793273763, relative_change = 0.036427597725181636 Iter 2: T = 929.0231803845192 K, F = -7042.861114097009, relative_change = 0.035855346011088335 Iter 3: T = 896.3188360024976 K, F = -5975.165071263448, relative_change = 0.03520293688310919 Iter 5: T = 836.3260285161249 K, F = -4298.449685893363, relative_change = 0.03362844221053358 Iter 10: T = 716.6904892051207 K, F = -1878.382673575739, relative_change = 0.027898829216510265 Iter 15: T = 637.1095817841572 K, F = -813.3616453634422, relative_change = 0.019980725811893765 Iter 20: T = 590.5095440251923 K, F = -348.2426073271376, relative_change = 0.01197467918014298 Iter 25: T = 566.5411673779203 K, F = -147.59624238488448, relative_change = 0.006132859607261611 Iter 30: T = 555.3634279438644 K, F = -62.135034474791674, relative_change = 0.0028332842929419694 Iter 35: T = 550.4424494752918 K, F = -26.063419856907398, relative_change = 0.0012394156031594807 Iter 40: T = 548.3371663819291 K, F = -10.914170694358969, relative_change = 0.0005285274481545631 Iter 45: T = 547.4480994834731 K, F = -4.566950110423331, relative_change = 0.00022287042507298488 Iter 50: T = 547.0747482410559 K, F = -1.9103957764920811, relative_change = 9.353175135513167e-5 Iter 55: T = 546.918338211823 K, F = -0.7990279841870032, relative_change = 3.9173172800148355e-5 Iter 60: T = 546.8528782857278 K, F = -0.3341766440597181, relative_change = 1.6392692989303577e-5 Iter 65: T = 546.8254938646181 K, F = -0.13975904307903075, relative_change = 6.857371310000249e-6 Iter 70: T = 546.8140399205091 K, F = -0.05844931716923246, relative_change = 2.868141000619085e-6 Iter 75: T = 546.8092494902519 K, F = -0.024444275282134942, relative_change = 1.1995444215030027e-6 Iter 80: T = 546.8072460306724 K, F = -0.01022290058215053, relative_change = 5.016731782610998e-7 Iter 85: T = 546.8064081521779 K, F = -0.004275341337303867, relative_change = 2.098073542218041e-7 Iter 90: T = 546.8060577400258 K, F = -0.0017879991950714158, relative_change = 8.774422797654772e-8 Iter 95: T = 546.8059111932413 K, F = -0.000747762685147868, relative_change = 3.669573421244849e-8 Iter 100: T = 546.8058499055843 K, F = -0.00031272329727094483, relative_change = 1.5346603073598432e-8 Iter 105: T = 546.8058242743468 K, F = -0.00013078461943746844, relative_change = 6.4181342038273355e-9 Iter 110: T = 546.805813555056 K, F = -5.469568991647855e-5, relative_change = 2.6841406315782973e-9 Iter 115: T = 546.8058090721204 K, F = -2.287439127374169e-5, relative_change = 1.1225397381527146e-9 Iter 120: T = 546.8058071973031 K, F = -9.566343429828761e-6, relative_change = 4.694595233411428e-10 Iter 125: T = 546.8058064132322 K, F = -4.000759121769448e-6, relative_change = 1.9633358314045042e-10 Iter 130: T = 546.8058060853243 K, F = -1.6731653798007784e-6, relative_change = 8.210905609218742e-11 Iter 135: T = 546.8058059481892 K, F = -6.99737290554836e-7, relative_change = 3.4338965652877506e-11 Iter 140: T = 546.8058058908379 K, F = -2.9263920756084083e-7, relative_change = 1.4361000675220312e-11 Iter 145: T = 546.8058058668528 K, F = -1.223852153509064e-7, relative_change = 6.005942181527328e-12 Iter 150: T = 546.8058058568218 K, F = -5.118270979265205e-8, relative_change = 2.5117445342888887e-12 Iter 155: T = 546.8058058526269 K, F = -2.1405428235476975e-8, relative_change = 1.050451755961048e-12 Iter 160: T = 546.8058058508725 K, F = -8.952319663357855e-9, relative_change = 4.3932687573409696e-13 Converged in 164 iterations to T = 546.8058058502393 K Iter 1: T = 966.8256218899671 K, F = -7558.813609351357, relative_change = 0.033174378110032876 Iter 2: T = 935.7057112442536 K, F = -6408.257465778057, relative_change = 0.0321877181790857 Iter 3: T = 906.6100040528273 K, F = -5431.379806881965, relative_change = 0.031094933847027936 Iter 5: T = 854.361450889923 K, F = -3898.085191457369, relative_change = 0.028590297610598704 Iter 10: T = 756.3864510703014 K, F = -1689.7029387101036, relative_change = 0.020824395968144123 Iter 15: T = 698.2321399777759 K, F = -724.2746111547901, relative_change = 0.012704669089164547 Iter 20: T = 667.9600887064591 K, F = -307.24085013011916, relative_change = 0.0065953500668279996 Iter 25: T = 653.7302764226318 K, F = -129.4091064214906, relative_change = 0.0030709716501676858 Iter 30: T = 647.4391109419473 K, F = -54.29634470266238, relative_change = 0.001348575734290769 Iter 35: T = 644.7422972878172 K, F = -22.739447813826217, relative_change = 0.000576072856508402 Iter 40: T = 643.6024313853101 K, F = -9.515618654929185, relative_change = 0.0002431008410069175 Iter 45: T = 643.1235820400054 K, F = -3.980551659055464, relative_change = 0.0001020540963944407 Iter 50: T = 642.922943542372 K, F = -1.6648908069201291, relative_change = 4.274820517744413e-5 Iter 55: T = 642.8389677932033 K, F = -0.6963081411894282, relative_change = 1.7889724590061604e-5 Iter 60: T = 642.8038365138123 K, F = -0.2912097917292792, relative_change = 7.4837823992990505e-6 Iter 65: T = 642.7891421599746 K, F = -0.12178835934401727, relative_change = 3.13017215467749e-6 Iter 70: T = 642.7829964500088 K, F = -0.05093351191915507, relative_change = 1.309139223430793e-6 Iter 75: T = 642.7804261784869 K, F = -0.02130103191766186, relative_change = 5.475088251609784e-7 Iter 80: T = 642.7793512493585 K, F = -0.008908350999901449, relative_change = 2.2897668255869715e-7 Iter 85: T = 642.7789016992562 K, F = -0.0037255796605225044, relative_change = 9.576112479490779e-8 Iter 90: T = 642.7787136917018 K, F = -0.0015580820610484603, relative_change = 4.0048505751924794e-8 Iter 95: T = 642.778635064639 K, F = -0.0006516085518617487, relative_change = 1.674877382104745e-8 Iter 100: T = 642.7786021818522 K, F = -0.00027251048305626524, relative_change = 7.004539064436676e-9 Iter 105: T = 642.7785884298763 K, F = -0.00011396713914474388, relative_change = 2.9293822041705044e-9 Iter 110: T = 642.7785826786354 K, F = -4.766241796716475e-5, relative_change = 1.2251026567505739e-9 Iter 115: T = 642.7785802733978 K, F = -1.9932992869453603e-5, relative_change = 5.123525829770772e-10 Iter 120: T = 642.7785792674987 K, F = -8.336216133608687e-6, relative_change = 2.142719825419222e-10 Iter 125: T = 642.7785788468195 K, F = -3.486304314626043e-6, relative_change = 8.961108104615121e-11 Iter 130: T = 642.7785786708866 K, F = -1.4580139591768848e-6, relative_change = 3.74764207141489e-11 Iter 135: T = 642.7785785973093 K, F = -6.097588964859568e-7, relative_change = 1.567308790668735e-11 Iter 140: T = 642.7785785665384 K, F = -2.550081216190492e-7, relative_change = 6.5546640336022714e-12 Iter 145: T = 642.7785785536697 K, F = -1.0664767985391066e-7, relative_change = 2.7412448946095452e-12 Iter 150: T = 642.7785785482879 K, F = -4.4601981052938555e-8, relative_change = 1.1464380005565586e-12 Iter 155: T = 642.778578546037 K, F = -1.865252458044253e-8, relative_change = 4.794397576266907e-13 Converged in 160 iterations to T = 642.7785785450957 K Iter 1: T = 965.1499393037225 K, F = -7940.619480612832, relative_change = 0.034850060696277475 Iter 2: T = 932.2726825106189 K, F = -6734.99724132708, relative_change = 0.034064403316257645 Iter 3: T = 901.3387399956262 K, F = -5711.211968732053, relative_change = 0.033181217357659124 Iter 5: T = 845.1878854515461 K, F = -4103.802414723747, relative_change = 0.031103255317863447 Iter 10: T = 736.6697319342697 K, F = -1785.9055706415552, relative_change = 0.024133365557961323 Iter 15: T = 668.742268806376 K, F = -769.0441438674217, relative_change = 0.015829148399553516 Iter 20: T = 631.538578417659 K, F = -327.49493139046535, relative_change = 0.008722192825003767 Iter 25: T = 613.4091608928081 K, F = -138.27358084292914, relative_change = 0.0042133851936519496 Iter 30: T = 605.2309951331374 K, F = -58.087397893326965, relative_change = 0.00188513216592913 Iter 35: T = 601.6911375691539 K, F = -24.340957603633946, relative_change = 0.0008121789644742794 Iter 40: T = 600.1884621129107 K, F = -10.188308622647078, relative_change = 0.00034401135638088 Iter 45: T = 599.5560253739704 K, F = -4.262397916482177, relative_change = 0.00014464457194261673 Iter 50: T = 599.2908251833309 K, F = -1.7828537469802703, relative_change = 6.062869496725137e-5 Iter 55: T = 599.1797909436642 K, F = -0.7456576972797748, relative_change = 2.5379616402947238e-5 Iter 60: T = 599.1333333054627 K, F = -0.3118511753697203, relative_change = 1.0618257247005308e-5 Iter 65: T = 599.1139003514966 K, F = -0.13042132420761055, relative_change = 4.441416750389283e-6 Iter 70: T = 599.1057725906144 K, F = -0.05454400694261302, relative_change = 1.8575820682030158e-6 Iter 75: T = 599.1023733471923 K, F = -0.022810999100637386, relative_change = 7.768854893675601e-7 Iter 80: T = 599.1009517225759 K, F = -0.009539839939630368, relative_change = 3.24906722254371e-7 Iter 85: T = 599.1003571786118 K, F = -0.003989676337329717, relative_change = 1.3588055925118763e-7 Iter 90: T = 599.100108532601 K, F = -0.001668530526294787, relative_change = 5.6826992933595004e-8 Iter 95: T = 599.1000045457605 K, F = -0.0006977994334885773, relative_change = 2.3765748135593387e-8 Iter 100: T = 599.0999610572029 K, F = -0.0002918280630159198, relative_change = 9.939123347729582e-9 Iter 105: T = 599.0999428697654 K, F = -0.00012204598174303527, relative_change = 4.1566607043363296e-9 Iter 110: T = 599.0999352635613 K, F = -5.104108771408766e-5, relative_change = 1.7383652734958875e-9 Iter 115: T = 599.0999320825557 K, F = -2.1345991929655472e-5, relative_change = 7.27005118792203e-10 Iter 120: T = 599.0999307522213 K, F = -8.927149204251972e-6, relative_change = 3.0404224164018e-10 Iter 125: T = 599.0999301958594 K, F = -3.7334402684385815e-6, relative_change = 1.2715409222956175e-10 Iter 130: T = 599.0999299631824 K, F = -1.561369776414967e-6, relative_change = 5.3177375998263943e-11 Iter 135: T = 599.099929865874 K, F = -6.529833435076071e-7, relative_change = 2.223940883810904e-11 Iter 140: T = 599.0999298251784 K, F = -2.730851199062023e-7, relative_change = 9.300775726588498e-12 Iter 145: T = 599.099929808159 K, F = -1.1420685119833962e-7, relative_change = 3.88967480155685e-12 Iter 150: T = 599.0999298010414 K, F = -4.776278034190895e-8, relative_change = 1.6267122436996792e-12 Iter 155: T = 599.0999297980646 K, F = -1.9974569553937727e-8, relative_change = 6.802970142062573e-13 Iter 160: T = 599.0999297968198 K, F = -8.353128633231677e-9, relative_change = 2.8449216155470403e-13 Converged in 162 iterations to T = 599.0999297965564 K Iter 1: T = 980.1350126024435 K, F = -4526.256275014609, relative_change = 0.019864987397556544 Iter 2: T = 962.3140379398128 K, F = -3823.3472923712693, relative_change = 0.018182163103542794 Iter 3: T = 946.4162240136852 K, F = -3228.0920890255375, relative_change = 0.01652040113657984 Iter 5: T = 919.8670048211171 K, F = -2298.019220607069, relative_change = 0.013348850702619073 Iter 10: T = 877.7115432850063 K, F = -975.596011055242, relative_change = 0.007013917229679647 Iter 15: T = 857.7536041974669 K, F = -411.1122522921425, relative_change = 0.003289321045483376 Iter 20: T = 848.8957351747786 K, F = -172.53149454387844, relative_change = 0.0014495991063991087 Iter 25: T = 845.0916953088662 K, F = -72.2643404944682, relative_change = 0.0006202214088968681 Iter 30: T = 843.4825336154687 K, F = -30.241353692067896, relative_change = 0.00026191304017076923 Iter 35: T = 842.8063019681705 K, F = -12.650741510900781, relative_change = 0.00010998385100770406 Iter 40: T = 842.5229184997852 K, F = -5.291296010069447, relative_change = 4.607550907310251e-5 Iter 45: T = 842.4043031582636 K, F = -2.212989120471577, relative_change = 1.9283171260372672e-5 Iter 50: T = 842.3546791155111 K, F = -0.9255170185182336, relative_change = 8.06687624018314e-6 Iter 55: T = 842.3339226521568 K, F = -0.3870655135160279, relative_change = 3.3740880822175394e-6 Iter 60: T = 842.3252415096536 K, F = -0.16187598759359267, relative_change = 1.4111581201332032e-6 Iter 65: T = 842.3216108574396 K, F = -0.06769857043583638, relative_change = 5.901761552959025e-7 Iter 70: T = 842.3200924587533 K, F = -0.02831236799570669, relative_change = 2.4682098599576903e-7 Iter 75: T = 842.3194574433908 K, F = -0.011840573450754066, relative_change = 1.0322388097744414e-7 Iter 80: T = 842.3191918718755 K, F = -0.004951869752005678, relative_change = 4.3169529191218245e-8 Iter 85: T = 842.3190808066079 K, F = -0.0020709311628825944, relative_change = 1.805402482156742e-8 Iter 90: T = 842.3190343577709 K, F = -0.0008660881607909232, relative_change = 7.550410915766162e-9 Iter 95: T = 842.3190149323099 K, F = -0.00036220841524858827, relative_change = 3.1576723899260732e-9 Iter 100: T = 842.3190068083495 K, F = -0.00015147988511610144, relative_change = 1.3205763662266117e-9 Iter 105: T = 842.3190034108122 K, F = -6.335069806784333e-5, relative_change = 5.522808272194501e-10 Iter 110: T = 842.3190019899215 K, F = -2.64940170575656e-5, relative_change = 2.309704268573383e-10 Iter 115: T = 842.319001395688 K, F = -1.108011425876576e-5, relative_change = 9.659459050739228e-11 Iter 120: T = 842.3190011471725 K, F = -4.6338339432239195e-6, relative_change = 4.0396992521953015e-11 Iter 125: T = 842.3190010432404 K, F = -1.9379251103845974e-6, relative_change = 1.689450834827225e-11 Iter 130: T = 842.3190009997747 K, F = -8.104629976024569e-7, relative_change = 7.06548143112054e-12 Iter 135: T = 842.3190009815969 K, F = -3.389453289148747e-7, relative_change = 2.9548689267043524e-12 Iter 140: T = 842.3190009739947 K, F = -1.417507557999187e-7, relative_change = 1.235759480766381e-12 Iter 145: T = 842.3190009708154 K, F = -5.9282689424122736e-8, relative_change = 5.168166129985961e-13 Converged in 150 iterations to T = 842.3190009694857 K Iter 1: T = 976.3636633993746 K, F = -5385.5617784131, relative_change = 0.023636336600625456 Iter 2: T = 954.890443888477 K, F = -4553.9399247176225, relative_change = 0.021993054755986074 Iter 3: T = 935.4893170879874 K, F = -3848.9928981099083, relative_change = 0.020317646830232034 Iter 5: T = 902.484715365826 K, F = -2745.7597468802705, relative_change = 0.016963466483305184 Iter 10: T = 848.0869374687701 K, F = -1170.9643474346278, relative_change = 0.00955905685162994 Iter 15: T = 821.2045180298501 K, F = -494.87899604954004, relative_change = 0.004686447064797682 Iter 20: T = 808.9772298183283 K, F = -208.00146290509346, relative_change = 0.0021132579917992464 Iter 25: T = 803.6629741024924 K, F = -87.18212289572084, relative_change = 0.000913793243407833 Iter 30: T = 801.4028712145721 K, F = -36.49540477661933, relative_change = 0.0003876722595610023 Iter 35: T = 800.4508884515732 K, F = -15.268974613796464, relative_change = 0.00016311394710676383 Iter 40: T = 800.0515566322862 K, F = -6.386750518416003, relative_change = 6.838997936033121e-5 Iter 45: T = 799.8843400576463 K, F = -2.6712051616763155, relative_change = 2.863201400375261e-5 Iter 50: T = 799.8143710594866 K, F = -1.1171631290649158, relative_change = 1.1979594418352786e-5 Iter 55: T = 799.785102706179 K, F = -0.4672167763095507, relative_change = 5.010944775259914e-6 Iter 60: T = 799.772861197013 K, F = -0.19539665259932715, relative_change = 2.095800581938699e-6 Iter 65: T = 799.7677414532671 K, F = -0.08171739152024382, relative_change = 8.765174553836075e-7 Iter 70: T = 799.7656002805843 K, F = -0.03417522015109731, relative_change = 3.665750740246173e-7 Iter 75: T = 799.7647048105272 K, F = -0.014292490643254663, relative_change = 1.5330694939385786e-7 Iter 80: T = 799.7643303131936 K, F = -0.0059772912242740395, relative_change = 6.411495023044012e-8 Iter 85: T = 799.7641736937505 K, F = -0.0024997747393233904, relative_change = 2.6813664655933477e-8 Iter 90: T = 799.7641081935965 K, F = -0.0010454356776804508, relative_change = 1.1213799455844486e-8 Iter 95: T = 799.7640808006443 K, F = -0.0004372136884387423, relative_change = 4.68974564932484e-9 Iter 100: T = 799.7640693445835 K, F = -0.0001828479863202892, relative_change = 1.9613077757906513e-9 Iter 105: T = 799.764064553522 K, F = -7.646921299808707e-5, relative_change = 8.202423737763046e-10 Iter 110: T = 799.7640625498427 K, F = -3.198033788898158e-5, relative_change = 3.430351581856624e-10 Iter 115: T = 799.7640617118801 K, F = -1.3374558750611776e-5, relative_change = 1.434613954203395e-10 Iter 120: T = 799.7640613614341 K, F = -5.593399114101061e-6, relative_change = 5.999725738161366e-11 Iter 125: T = 799.7640612148734 K, F = -2.3392254593357364e-6, relative_change = 2.5091560465626025e-11 Iter 130: T = 799.7640611535801 K, F = -9.782927153922927e-7, relative_change = 1.049359767026255e-11 Iter 135: T = 799.7640611279463 K, F = -4.091335422673481e-7, relative_change = 4.3885462081729715e-12 Iter 140: T = 799.7640611172261 K, F = -1.7110422445565376e-7, relative_change = 1.8353391201410846e-12 Iter 145: T = 799.7640611127428 K, F = -7.15585294353005e-8, relative_change = 7.675682401980581e-13 Iter 150: T = 799.7640611108678 K, F = -2.992766956477766e-8, relative_change = 3.210173384305144e-13 Converged in 153 iterations to T = 799.7640611103188 K Iter 1: T = 980.8647067473422 K, F = -4359.994769981106, relative_change = 0.01913529325265781 Iter 2: T = 963.7400807864287 K, F = -3682.1617738646546, relative_change = 0.01745870336970388 Iter 3: T = 948.5002443333664 K, F = -3108.2635223842303, relative_change = 0.015813222628062156 Iter 5: T = 923.1365821524678 K, F = -2211.8593549429197, relative_change = 0.012700637741431006 Iter 10: T = 883.1276309518183 K, F = -938.2780675372348, relative_change = 0.006592849924405976 Iter 15: T = 864.3214890142823 K, F = -395.1995836212141, relative_change = 0.003069697642181317 Iter 20: T = 856.0072264808797 K, F = -165.8142129301362, relative_change = 0.0013479925709950103 Iter 25: T = 852.4432089163465 K, F = -69.44338115039993, relative_change = 0.0005758191919674034 Iter 30: T = 850.9368064577601 K, F = -29.05948270713571, relative_change = 0.0002429929659325784 Iter 35: T = 850.3039788058263 K, F = -12.156094701187387, relative_change = 0.00010200866268292625 Iter 40: T = 850.0388233790989 K, F = -5.084362990323071, relative_change = 4.272914799808109e-5 Iter 45: T = 849.9278445815488 K, F = -2.12643572241048, relative_change = 1.788174477695527e-5 Iter 50: T = 849.8814165745033 K, F = -0.8893173338532169, relative_change = 7.480443416897346e-6 Iter 55: T = 849.8619971414233 K, F = -0.3719260196446007, relative_change = 3.1287754497188326e-6 Iter 60: T = 849.8538752326812 K, F = -0.1555444086286164, relative_change = 1.308555051780671e-6 Iter 65: T = 849.8504784712532 K, F = -0.06505061768480846, relative_change = 5.4726450834376e-7 Iter 70: T = 849.8490578906814 K, F = -0.027204960642521092, relative_change = 2.28874504723586e-7 Iter 75: T = 849.8484637844065 K, F = -0.011377442136750737, relative_change = 9.571839252914174e-8 Iter 80: T = 849.8482153216275 K, F = -0.004758182649201803, relative_change = 4.003063457131298e-8 Iter 85: T = 849.8481114114492 K, F = -0.001989928890752335, relative_change = 1.67412998817587e-8 Iter 90: T = 849.8480679549582 K, F = -0.0008322120405088729, relative_change = 7.0014133631467086e-9 Iter 95: T = 849.8480497809323 K, F = -0.0003480410184171223, relative_change = 2.9280750178686213e-9 Iter 100: T = 849.8480421803372 K, F = -0.00014555490744361244, relative_change = 1.2245559684335143e-9 Iter 105: T = 849.8480390016775 K, F = -6.087280099409398e-5, relative_change = 5.121239428423277e-10 Iter 110: T = 849.8480376723242 K, F = -2.5457731393840888e-5, relative_change = 2.1417634249490001e-10 Iter 115: T = 849.8480371163726 K, F = -1.0646727234275843e-5, relative_change = 8.957110397638165e-11 Iter 120: T = 849.848036883867 K, F = -4.452588843184557e-6, relative_change = 3.745970850765425e-11 Iter 125: T = 849.8480367866305 K, F = -1.8621280899466797e-6, relative_change = 1.5666116488184064e-11 Iter 130: T = 849.8480367459649 K, F = -7.787626077337961e-7, relative_change = 6.551743565894311e-12 Iter 135: T = 849.8480367289582 K, F = -3.256863190248538e-7, relative_change = 2.7400047513626903e-12 Iter 140: T = 849.8480367218457 K, F = -1.3620655536783488e-7, relative_change = 1.1459081548371834e-12 Iter 145: T = 849.8480367188712 K, F = -5.696460947390847e-8, relative_change = 4.792442651388709e-13 Converged in 150 iterations to T = 849.8480367176272 K Iter 1: T = 967.2791517139425 K, F = -7455.476407540321, relative_change = 0.032720848286057466 Iter 2: T = 936.6315969670829 K, F = -6319.87342376635, relative_change = 0.03168429164688858 Iter 3: T = 908.0260890497071 K, F = -5355.737714258712, relative_change = 0.030540831646085388 Iter 5: T = 856.8036368171788 K, F = -3842.586231583065, relative_change = 0.027938207785814163 Iter 10: T = 761.487288530882 K, F = -1663.9876665414151, relative_change = 0.020028541607987213 Iter 15: T = 705.6292291066956 K, F = -712.48672985347, relative_change = 0.012015581745085473 Iter 20: T = 676.8794194603546 K, F = -301.98947854826525, relative_change = 0.006158503060019112 Iter 25: T = 663.4658652684261 K, F = -127.13514481723307, relative_change = 0.0028463776970525474 Iter 30: T = 657.559183017349 K, F = -53.32939327210393, relative_change = 0.0012454092018116915 Iter 35: T = 655.0319201898837 K, F = -22.33205834004253, relative_change = 0.0005311341185413736 Iter 40: T = 653.9645985231951 K, F = -9.344702377911727, relative_change = 0.0002239788401587265 Iter 45: T = 653.5163824305229 K, F = -3.9089765229037035, relative_change = 9.39985589335349e-5 Iter 50: T = 653.3286072353136 K, F = -1.6349403619288292, relative_change = 3.936897102662689e-5 Iter 55: T = 653.2500202330787 K, F = -0.6837795502219743, relative_change = 1.6474678814475094e-5 Iter 60: T = 653.2171441975364 K, F = -0.28596966764059384, relative_change = 6.891676391980169e-6 Iter 65: T = 653.2033932946665 K, F = -0.11959678628198472, relative_change = 2.8824908809662498e-6 Iter 70: T = 653.1976421963378 K, F = -0.05001695404429701, relative_change = 1.2055462526169917e-6 Iter 75: T = 653.1952369647173 K, F = -0.020917713695124518, relative_change = 5.041833101250052e-7 Iter 80: T = 653.1942310587513 K, F = -0.008748042256191135, relative_change = 2.1085713784746958e-7 Iter 85: T = 653.1938103752229 K, F = -0.003658536543773072, relative_change = 8.818326285717622e-8 Iter 90: T = 653.1936344400607 K, F = -0.0015300438145075534, relative_change = 3.68793443186103e-8 Iter 95: T = 653.1935608618246 K, F = -0.0006398826201587937, relative_change = 1.5423391084917658e-8 Iter 100: T = 653.1935300905188 K, F = -0.00026760655905216924, relative_change = 6.450247924926302e-9 Iter 105: T = 653.1935172215897 K, F = -0.000111916259172673, relative_change = 2.697570974208518e-9 Iter 110: T = 653.1935118396495 K, F = -4.6804716589465833e-5, relative_change = 1.1281564521014828e-9 Iter 115: T = 653.1935095888578 K, F = -1.9574290616664047e-5, relative_change = 4.718084890990226e-10 Iter 120: T = 653.1935086475497 K, F = -8.186201316595643e-6, relative_change = 1.9731592714041652e-10 Iter 125: T = 653.1935082538836 K, F = -3.423567084659407e-6, relative_change = 8.251987573355261e-11 Iter 130: T = 653.1935080892476 K, F = -1.4317757057180636e-6, relative_change = 3.4510775029170854e-11 Iter 135: T = 653.193508020395 K, F = -5.987857449873957e-7, relative_change = 1.4432819375113959e-11 Iter 140: T = 653.1935079915999 K, F = -2.5041846263285095e-7, relative_change = 6.035956050036413e-12 Iter 145: T = 653.1935079795575 K, F = -1.0472809852668519e-7, relative_change = 2.5243114797539478e-12 Iter 150: T = 653.1935079745211 K, F = -4.379816836985739e-8, relative_change = 1.0556882132650826e-12 Iter 155: T = 653.193507972415 K, F = -1.8315691796555456e-8, relative_change = 4.414718849526941e-13 Converged in 159 iterations to T = 653.1935079716548 K Iter 1: T = 973.4961425915092 K, F = -6038.929122201697, relative_change = 0.026503857408490802 Iter 2: T = 949.1853437033084 K, F = -5110.43415502046, relative_change = 0.024972670999480195 Iter 3: T = 927.000328636963 K, F = -4322.882769193548, relative_change = 0.023372690290169394 Iter 5: T = 888.6860489978826 K, F = -3089.0551645682776, relative_change = 0.020044193940331467 Iter 10: T = 823.435796824105 K, F = -1322.7016975272911, relative_change = 0.012029074456478979 Iter 15: T = 789.8441394318488 K, F = -560.6402248994614, relative_change = 0.006166999817965419 Iter 20: T = 774.1692027137259 K, F = -236.02734364832529, relative_change = 0.002850725506778731 Iter 25: T = 767.2661662139391 K, F = -99.0068920646428, relative_change = 0.0012474013843269897 Iter 30: T = 764.3124881647522 K, F = -41.45992167425805, relative_change = 0.0005320009019864298 Iter 35: T = 763.0650610443979 K, F = -17.34864668449397, relative_change = 0.00022434748193833889 Iter 40: T = 762.5412069550744 K, F = -7.257104254883493, relative_change = 9.41538236192247e-5 Iter 45: T = 762.3217434066777 K, F = -3.035304652992668, relative_change = 3.943409745167785e-5 Iter 50: T = 762.2298941945758 K, F = -1.2694526621846156, relative_change = 1.6501949307608088e-5 Iter 55: T = 762.1914700348233 K, F = -0.5309093645157097, relative_change = 6.903087165400384e-6 Iter 60: T = 762.1753985409637 K, F = -0.2220342286707565, relative_change = 2.887264040002087e-6 Iter 65: T = 762.1686768914295 K, F = -0.09285764453688883, relative_change = 1.2075426261962784e-6 Iter 70: T = 762.1658657545489 K, F = -0.0388342245984592, relative_change = 5.050182491698971e-7 Iter 75: T = 762.1646900925542 K, F = -0.016240945020509878, relative_change = 2.112063248794674e-7 Iter 80: T = 762.1641984147475 K, F = -0.006792158653624258, relative_change = 8.832929805603243e-8 Iter 85: T = 762.163992788881 K, F = -0.0028405621235301215, relative_change = 3.6940418142101615e-8 Iter 90: T = 762.1639067936293 K, F = -0.0011879570497835834, relative_change = 1.5448932929514064e-8 Iter 95: T = 762.1638708293777 K, F = -0.0004968178345872154, relative_change = 6.460929821083925e-9 Iter 100: T = 762.1638557886964 K, F = -0.00020777515298153748, relative_change = 2.7020382817494945e-9 Iter 105: T = 762.1638494985035 K, F = -8.689404985828819e-5, relative_change = 1.1300247167678492e-9 Iter 110: T = 762.1638468678697 K, F = -3.6340129881518024e-5, relative_change = 4.725898461227773e-10 Iter 115: T = 762.1638457677072 K, F = -1.5197876059858118e-5, relative_change = 1.9764271567824576e-10 Iter 120: T = 762.1638453076062 K, F = -6.355935257884582e-6, relative_change = 8.265657014877448e-11 Iter 125: T = 762.1638451151863 K, F = -2.658126712185016e-6, relative_change = 3.456794765830885e-11 Iter 130: T = 762.1638450347141 K, F = -1.111660837938011e-6, relative_change = 1.4456735076922897e-11 Iter 135: T = 762.1638450010596 K, F = -4.6491000482706824e-7, relative_change = 6.0459814238627346e-12 Iter 140: T = 762.1638449869849 K, F = -1.9442993592910796e-7, relative_change = 2.5284888876736926e-12 Iter 145: T = 762.1638449810987 K, F = -8.131233775188207e-8, relative_change = 1.0574366620113878e-12 Iter 150: T = 762.163844978637 K, F = -3.400667103470312e-8, relative_change = 4.422440886564778e-13 Converged in 154 iterations to T = 762.1638449777486 K Iter 1: T = 969.9930343473708 K, F = -6837.115667944844, relative_change = 0.03000696565262919 Iter 2: T = 942.1431408864585 K, F = -5791.43151336814, relative_change = 0.028711436551346222 Iter 3: T = 916.4076235833716 K, F = -4903.945827760058, relative_change = 0.02731593129136666 Iter 5: T = 871.0744107308387 K, F = -3512.025113032471, relative_change = 0.02426556300071273 Iter 10: T = 790.199726384013 K, F = -1512.6313997625284, relative_change = 0.01596372134196853 Iter 15: T = 745.8077642812223 K, F = -644.259364428898, relative_change = 0.008819659955130696 Iter 20: T = 724.1399075902985 K, F = -272.0472367176944, relative_change = 0.004267794581786419 Iter 25: T = 714.3562068930272 K, F = -114.29122514489434, relative_change = 0.0019111942065511518 Iter 30: T = 710.1194109928738 K, F = -47.89395247754181, relative_change = 0.0008237511863701571 Iter 35: T = 708.3205023777654 K, F = -20.047046499801677, relative_change = 0.000348976719523106 Iter 40: T = 707.5633194556543 K, F = -8.386959636898457, relative_change = 0.00014674376544447258 Iter 45: T = 707.2457970090899 K, F = -3.508061771265508, relative_change = 6.151060637607331e-5 Iter 50: T = 707.1128542694809 K, F = -1.4672070958706276, relative_change = 2.574914603840355e-5 Iter 55: T = 707.0572295536003 K, F = -0.6136199429201802, relative_change = 1.077292229913514e-5 Iter 60: T = 707.0339619987507 K, F = -0.256626059925722, relative_change = 4.506121114448818e-6 Iter 65: T = 707.0242304185948 K, F = -0.10732458532672795, relative_change = 1.8846459838744857e-6 Iter 70: T = 707.020160413716 K, F = -0.044884511161737195, relative_change = 7.882046029674092e-7 Iter 75: T = 707.0184582642605 K, F = -0.018771253964139256, relative_change = 3.29640626324371e-7 Iter 80: T = 707.0177464006913 K, F = -0.007850365270235193, relative_change = 1.3786035470977267e-7 Iter 85: T = 707.0174486900862 K, F = -0.0032831169784637293, relative_change = 5.765497056835414e-8 Iter 90: T = 707.017324183823 K, F = -0.0013730388104284952, relative_change = 2.4112018882226316e-8 Iter 95: T = 707.0172721137936 K, F = -0.0005742212405005498, relative_change = 1.0083938009080496e-8 Iter 100: T = 707.0172503374815 K, F = -0.00024014618447842917, relative_change = 4.21722399262393e-9 Iter 105: T = 707.017241230367 K, F = -0.00010043200259834961, relative_change = 1.7636935514096471e-9 Iter 110: T = 707.0172374216628 K, F = -4.200186195102429e-5, relative_change = 7.375977084361573e-10 Iter 115: T = 707.0172358288172 K, F = -1.7565680292541686e-5, relative_change = 3.0847217404275717e-10 Iter 120: T = 707.0172351626701 K, F = -7.3461764786841854e-6, relative_change = 1.2900673368221933e-10 Iter 125: T = 707.0172348840795 K, F = -3.0722589948739554e-6, relative_change = 5.395216135197702e-11 Iter 130: T = 707.0172347675696 K, F = -1.2848554511446508e-6, relative_change = 2.2563439079899484e-11 Iter 135: T = 707.0172347188438 K, F = -5.373427652832774e-7, relative_change = 9.436314989885398e-12 Iter 140: T = 707.017234698466 K, F = -2.2472428728992355e-7, relative_change = 3.946399389816458e-12 Iter 145: T = 707.0172346899438 K, F = -9.398236966440265e-8, relative_change = 1.6504311607400492e-12 Iter 150: T = 707.0172346863798 K, F = -3.930397840523625e-8, relative_change = 6.902199948165684e-13 Iter 155: T = 707.0172346848892 K, F = -1.64380447031931e-8, relative_change = 2.8866968664003735e-13 Converged in 157 iterations to T = 707.0172346845737 K Iter 1: T = 973.5278890662205 K, F = -6031.695657740046, relative_change = 0.026472110933779554 Iter 2: T = 949.2487957558154 K, F = -5104.268503785453, relative_change = 0.024939288933666707 Iter 3: T = 927.0951919304242 K, F = -4317.627744938649, relative_change = 0.023338037324294875 Iter 5: T = 888.8417494505909 K, F = -3085.2404129353217, relative_change = 0.020008345877944176 Iter 10: T = 823.7202611618583 K, F = -1321.0047539813738, relative_change = 0.011998540412659622 Iter 15: T = 790.2117179005264 K, F = -559.900446529612, relative_change = 0.0061478852296550065 Iter 20: T = 774.5806923220706 K, F = -235.71087642746372, relative_change = 0.0028409704906561728 Iter 25: T = 767.6981878492562 K, F = -98.87310850200193, relative_change = 0.0012429367170985943 Iter 30: T = 764.7535338248341 K, F = -41.40370406760851, relative_change = 0.000530059301752633 Iter 35: T = 763.5099621188481 K, F = -17.325087631431195, relative_change = 0.00022352189058858694 Iter 40: T = 762.9877350475232 K, F = -7.247243048504768, relative_change = 9.380613048279402e-5 Iter 45: T = 762.7689545270425 K, F = -3.0311790793685427, relative_change = 3.9288261326495485e-5 Iter 50: T = 762.6773914204675 K, F = -1.2677270352260486, relative_change = 1.644088402627484e-5 Iter 55: T = 762.6390869932202 K, F = -0.5301876407080512, relative_change = 6.877535822543152e-6 Iter 60: T = 762.6230655868854 K, F = -0.2217323871057787, relative_change = 2.8765758685083035e-6 Iter 65: T = 762.6163648869951 K, F = -0.09273140938111091, relative_change = 1.203072303776238e-6 Iter 70: T = 762.613562511933 K, F = -0.03878143130131961, relative_change = 5.031486367110546e-7 Iter 75: T = 762.6123905143102 K, F = -0.0162188661891971, relative_change = 2.1042441832761094e-7 Iter 80: T = 762.6119003690006 K, F = -0.006782925015322738, relative_change = 8.800229325207487e-8 Iter 85: T = 762.6116953840451 K, F = -0.0028367005057388095, relative_change = 3.680366046948813e-8 Iter 90: T = 762.6116096568303 K, F = -0.001186342074202873, relative_change = 1.539173916313492e-8 Iter 95: T = 762.611573804675 K, F = -0.0004961424303275841, relative_change = 6.437010665592067e-9 Iter 100: T = 762.6115588108738 K, F = -0.00020749269140196702, relative_change = 2.6920350104595584e-9 Iter 105: T = 762.6115525402868 K, F = -8.677592097594555e-5, relative_change = 1.1258412279444932e-9 Iter 110: T = 762.6115499178524 K, F = -3.629072706468062e-5, relative_change = 4.708402622631956e-10 Iter 115: T = 762.6115488211188 K, F = -1.5177215225481433e-5, relative_change = 1.9691101898798845e-10 Iter 120: T = 762.6115483624518 K, F = -6.347292601738275e-6, relative_change = 8.235053921511637e-11 Iter 125: T = 762.6115481706319 K, F = -2.654512939903597e-6, relative_change = 3.443997085568302e-11 Iter 130: T = 762.6115480904105 K, F = -1.1101499873822362e-6, relative_change = 1.4403219760314554e-11 Iter 135: T = 762.6115480568609 K, F = -4.6427765421075406e-7, relative_change = 6.023594253754706e-12 Iter 140: T = 762.6115480428301 K, F = -1.941670342286983e-7, relative_change = 2.5191465088692674e-12 Iter 145: T = 762.6115480369622 K, F = -8.120240657660815e-8, relative_change = 1.0535298118927793e-12 Iter 150: T = 762.6115480345081 K, F = -3.396035141989273e-8, relative_change = 4.4060569325622686e-13 Converged in 154 iterations to T = 762.6115480336224 K Iter 1: T = 964.3087379096498 K, F = -8132.288018441403, relative_change = 0.03569126209035019 Iter 2: T = 930.5420561205652 K, F = -6899.130208895806, relative_change = 0.03501646356775872 Iter 3: T = 898.6689519124562 K, F = -5851.89966524426, relative_change = 0.03425219096597112 Iter 5: T = 840.4904438161158 K, F = -4207.475168198347, relative_change = 0.03242964813558537 Iter 10: T = 726.2023064669704 K, F = -1834.9696040643666, relative_change = 0.026051241017790827 Iter 15: T = 652.4182427405126 K, F = -792.3719590714329, relative_change = 0.017855756956421137 Iter 20: T = 610.6635020601104 K, F = -338.3060244964279, relative_change = 0.010243394537919805 Iter 25: T = 589.7929197568177 K, F = -143.09077075449534, relative_change = 0.0050836329149612615 Iter 30: T = 580.2344095119739 K, F = -60.16836272138839, relative_change = 0.0023075368918931004 Iter 35: T = 576.0655869331456 K, F = -25.22429144682789, relative_change = 0.0010009125368896333 Iter 40: T = 574.2898104473429 K, F = -10.560133180853654, relative_change = 0.00042521570422874785 Iter 45: T = 573.5413160925232 K, F = -4.418329259125113, relative_change = 0.00017901558414068516 Iter 50: T = 573.2272503271224 K, F = -1.8481419910794024, relative_change = 7.507579953925868e-5 Iter 55: T = 573.0957219134374 K, F = -0.7729753471467797, relative_change = 3.143436101519938e-5 Iter 60: T = 573.0406831857347 K, F = -0.32327807745560766, relative_change = 1.3152666491440397e-5 Iter 65: T = 573.0176597343412 K, F = -0.1352005997439804, relative_change = 5.5017296052141044e-6 Iter 70: T = 573.0080300724592 K, F = -0.05654282853665207, relative_change = 2.301086268429907e-6 Iter 75: T = 573.0040026615025 K, F = -0.02364694266687198, relative_change = 9.623762604683727e-7 Iter 80: T = 573.0023183201706 K, F = -0.009889443709400147, relative_change = 4.024832800561335e-7 Iter 85: T = 573.0016139032682 K, F = -0.004135885191603572, relative_change = 1.6832436985054687e-7 Iter 90: T = 573.0013193067903 K, F = -0.0017296768821815078, relative_change = 7.039544629378887e-8 Iter 95: T = 573.0011961028646 K, F = -0.0007233715816797881, relative_change = 2.9440248626967998e-8 Iter 100: T = 573.0011445774835 K, F = -0.00030252264376406934, relative_change = 1.2312269221175873e-8 Iter 105: T = 573.0011230289489 K, F = -0.00012651858391315995, relative_change = 5.149139007037204e-9 Iter 110: T = 573.0011140170935 K, F = -5.2911583496795256e-5, relative_change = 2.153431618350958e-9 Iter 115: T = 573.0011102482279 K, F = -2.212825653880035e-5, relative_change = 9.005908656032587e-10 Iter 120: T = 573.0011086720431 K, F = -9.254300607053345e-6, relative_change = 3.766378380868926e-10 Iter 125: T = 573.0011080128638 K, F = -3.870259030203105e-6, relative_change = 1.5751444261974874e-10 Iter 130: T = 573.0011077371872 K, F = -1.618588307772395e-6, relative_change = 6.587441143447218e-11 Iter 135: T = 573.001107621896 K, F = -6.769136619011462e-7, relative_change = 2.754949414763511e-11 Iter 140: T = 573.0011075736799 K, F = -2.83093382902333e-7, relative_change = 1.1521527688955726e-11 Iter 145: T = 573.0011075535151 K, F = -1.183925270598074e-7, relative_change = 4.81841986177455e-12 Iter 150: T = 573.001107545082 K, F = -4.951300186517571e-8, relative_change = 2.015113939576952e-12 Iter 155: T = 573.0011075415553 K, F = -2.07070268709586e-8, relative_change = 8.427487109286753e-13 Iter 160: T = 573.0011075400803 K, F = -8.659086392359683e-9, relative_change = 3.524134073204477e-13 Converged in 163 iterations to T = 573.0011075396485 K Iter 1: T = 963.5338714359762 K, F = -8308.842081556244, relative_change = 0.03646612856402382 Iter 2: T = 928.943597964346 K, F = -7050.3837555083655, relative_change = 0.03589938506269582 Iter 3: T = 896.1955188971449 K, F = -5981.618273429364, relative_change = 0.035253032734133834 Iter 5: T = 836.1067367322958 K, F = -4303.216059634771, relative_change = 0.03369217197725884 Iter 10: T = 716.1832436231479 K, F = -1880.6669660002099, relative_change = 0.02800027430565011 Iter 15: T = 636.2792958314513 K, F = -814.4762785038138, relative_change = 0.0201027170074663 Iter 20: T = 589.3983693787483 K, F = -348.7768965072011, relative_change = 0.012078645122741476 Iter 25: T = 565.2442785830713 K, F = -147.84113185548412, relative_change = 0.006197971261696683 Iter 30: T = 553.9673413016205 K, F = -62.24264626735841, relative_change = 0.0028665219933882305 Iter 35: T = 548.9997560646137 K, F = -26.109489760198556, relative_change = 0.0012546296859450056 Iter 40: T = 546.8739465688194 K, F = -10.933637837349169, relative_change = 0.0005351441360960015 Iter 45: T = 545.9761023441446 K, F = -4.575127610302485, relative_change = 0.00022568398647002235 Iter 50: T = 545.599045637396 K, F = -1.9138221034083762, relative_change = 9.471667891063301e-5 Iter 55: T = 545.4410798022867 K, F = -0.8004620403785222, relative_change = 3.9670179973040944e-5 Iter 60: T = 545.3749681410952 K, F = -0.33477658076800193, relative_change = 1.6600802860819053e-5 Iter 65: T = 545.3473109675699 K, F = -0.1400099783136134, relative_change = 6.94445009772805e-6 Iter 70: T = 545.3357429220562 K, F = -0.05855426732485003, relative_change = 2.9045662215838537e-6 Iter 75: T = 545.3309047674397 K, F = -0.02448816774804624, relative_change = 1.2147792540787293e-6 Iter 80: T = 545.3288813479506 K, F = -0.010241257120273656, relative_change = 5.0804480683822e-7 Iter 85: T = 545.3280351218064 K, F = -0.00428301829316774, relative_change = 2.1247208730760012e-7 Iter 90: T = 545.3276812185364 K, F = -0.0017912097949860928, relative_change = 8.885865849025632e-8 Iter 95: T = 545.3275332117194 K, F = -0.0007491053967708938, relative_change = 3.7161803615536294e-8 Iter 100: T = 545.3274713134583 K, F = -0.0003132848348571804, relative_change = 1.5541519057533366e-8 Iter 105: T = 545.327445426859 K, F = -0.0001310194609951687, relative_change = 6.499650425393011e-9 Iter 110: T = 545.3274346007728 K, F = -5.479390452967081e-5, relative_change = 2.7182317484798556e-9 Iter 115: T = 545.3274300731739 K, F = -2.291546531393851e-5, relative_change = 1.1367970277777127e-9 Iter 120: T = 545.3274281796779 K, F = -9.583520852896044e-6, relative_change = 4.75422080767683e-10 Iter 125: T = 545.3274273877953 K, F = -4.007943466444175e-6, relative_change = 1.9882722277517247e-10 Iter 130: T = 545.3274270566205 K, F = -1.6761697822775812e-6, relative_change = 8.315191730215467e-11 Iter 135: T = 545.3274269181193 K, F = -7.00994339908334e-7, relative_change = 3.477513081796133e-11 Iter 140: T = 545.3274268601963 K, F = -2.9316354807629175e-7, relative_change = 1.4543342449668303e-11 Iter 145: T = 545.3274268359723 K, F = -1.2260486503823387e-7, relative_change = 6.082217759758681e-12 Iter 150: T = 545.3274268258416 K, F = -5.1274653189992137e-8, relative_change = 2.543647890220068e-12 Iter 155: T = 545.3274268216047 K, F = -2.1443772008078454e-8, relative_change = 1.0637888710161524e-12 Iter 160: T = 545.3274268198329 K, F = -8.968218889737756e-9, relative_change = 4.448980078828177e-13 Converged in 164 iterations to T = 545.3274268191933 K Iter 1: T = 969.2588895796418 K, F = -7004.391251623837, relative_change = 0.030741110420358098 Iter 2: T = 940.6570456370314 K, F = -5934.308150798202, relative_change = 0.029508982842566235 Iter 3: T = 914.155702746073 K, F = -5026.020015016999, relative_change = 0.02817322531508944 Iter 5: T = 867.2704278903244 K, F = -3601.1908880571923, relative_change = 0.025221889574490605 Iter 10: T = 782.717669544486 K, F = -1553.1750170420353, relative_change = 0.01695856900916214 Iter 15: T = 735.5550131675383 K, F = -662.366693006095, relative_change = 0.009555278743202906 Iter 20: T = 712.2496742918787 K, F = -279.9314790649424, relative_change = 0.004684256114423595 Iter 25: T = 701.649837163972 K, F = -117.65705454014565, relative_change = 0.0021121880449686465 Iter 30: T = 697.0430043108914 K, F = -49.31493749591211, relative_change = 0.000913313931043372 Iter 35: T = 695.0837802270584 K, F = -20.643769238230874, relative_change = 0.0003874658028369222 Iter 40: T = 694.2585346514626 K, F = -8.636953529483883, relative_change = 0.00016302652046106995 Iter 45: T = 693.9123663636179 K, F = -3.612689352622686, relative_change = 6.835322432566866e-5 Iter 50: T = 693.7674116414797 K, F = -1.5109771424985947, relative_change = 2.8616608807831536e-5 Iter 55: T = 693.706757764373 K, F = -0.6319274713550527, relative_change = 1.1973145855460033e-5 Iter 60: T = 693.6813859722536 K, F = -0.2642829021212742, relative_change = 5.008246871745519e-6 Iter 65: T = 693.6707742030912 K, F = -0.11052684080801128, relative_change = 2.09467210495562e-6 Iter 70: T = 693.6663360625939 K, F = -0.0462237453507397, relative_change = 8.760454810535538e-7 Iter 75: T = 693.6644799491677 K, F = -0.01933133991938607, relative_change = 3.663776831848543e-7 Iter 80: T = 693.6637036951072 K, F = -0.008084600293195798, relative_change = 1.5322439721323682e-7 Iter 85: T = 693.6633790554688 K, F = -0.0033810769281890085, relative_change = 6.408042572679984e-8 Iter 90: T = 693.6632432871343 K, F = -0.0014140068433983188, relative_change = 2.6799226065344185e-8 Iter 95: T = 693.6631865071673 K, F = -0.0005913545648876806, relative_change = 1.1207761065251421e-8 Iter 100: T = 693.6631627611021 K, F = -0.00024731154514312514, relative_change = 4.687220363192744e-9 Iter 105: T = 693.6631528302131 K, F = -0.0001034286418929442, relative_change = 1.960251670346488e-9 Iter 110: T = 693.6631486769966 K, F = -4.325509256364324e-5, relative_change = 8.198006694676151e-10 Iter 115: T = 693.6631469400718 K, F = -1.8089795797426866e-5, relative_change = 3.428504253052447e-10 Iter 120: T = 693.6631462136692 K, F = -7.5653684992182946e-6, relative_change = 1.4338414040301101e-10 Iter 125: T = 693.6631459098788 K, F = -3.1639269959526928e-6, relative_change = 5.996495129158157e-11 Iter 130: T = 693.6631457828302 K, F = -1.3231928700507822e-6, relative_change = 2.5078074232639647e-11 Iter 135: T = 693.6631457296969 K, F = -5.533741924690361e-7, relative_change = 1.0487933691551662e-11 Iter 140: T = 693.6631457074759 K, F = -2.3142728589053974e-7, relative_change = 4.386171350666583e-12 Iter 145: T = 693.6631456981829 K, F = -9.678636569976362e-8, relative_change = 1.834362714668442e-12 Iter 150: T = 693.6631456942964 K, F = -4.0478008278554967e-8, relative_change = 7.671674477636031e-13 Iter 155: T = 693.663145692671 K, F = -1.6929399770937437e-8, relative_change = 3.2085779332837134e-13 Converged in 158 iterations to T = 693.6631456921953 K Iter 1: T = 966.5012842562021 K, F = -7632.714247729456, relative_change = 0.0334987157437979 Iter 2: T = 935.0427190606213 K, F = -6471.4773867106005, relative_change = 0.03254891194458225 Iter 3: T = 905.5945522175365 K, F = -5485.49945128496, relative_change = 0.03149392668676085 Iter 5: T = 852.6044802979749 K, F = -3937.821103909141, relative_change = 0.029063786392194115 Iter 10: T = 752.6797328900444 K, F = -1708.1740179314627, relative_change = 0.021417764253604924 Iter 15: T = 692.800612592218 K, F = -732.7844452004676, relative_change = 0.013233357707390855 Iter 20: T = 661.3599441366252 K, F = -311.05048283643526, relative_change = 0.00693805800175262 Iter 25: T = 646.4941390276091 K, F = -131.06414960644926, relative_change = 0.0032494982619326995 Iter 30: T = 639.9009744890445 K, F = -55.00132013874081, relative_change = 0.0014311170412308503 Iter 35: T = 637.0704729423885 K, F = -23.0366988866718, relative_change = 0.0006121331860667614 Iter 40: T = 635.8733100490813 K, F = -9.640370669735908, relative_change = 0.0002584644714811676 Iter 45: T = 635.3702483057695 K, F = -4.032802161407918, relative_change = 0.00010852983079981272 Iter 50: T = 635.1594395816841 K, F = -1.686756266270392, relative_change = 4.5465340247191315e-5 Iter 55: T = 635.0712027299511 K, F = -0.70545493527651, relative_change = 1.902762617015645e-5 Iter 60: T = 635.0342880405805 K, F = -0.2950355100827661, relative_change = 7.959940257125815e-6 Iter 65: T = 635.018847604249 K, F = -0.12338839390973644, relative_change = 3.329354980466315e-6 Iter 70: T = 635.0123898318313 K, F = -0.05160267833180049, relative_change = 1.3924482438894155e-6 Iter 75: T = 635.0096890447458 K, F = -0.021580887550129546, relative_change = 5.823511189539501e-7 Iter 80: T = 635.0085595311697 K, F = -0.00902539036109562, relative_change = 2.4354840244665975e-7 Iter 85: T = 635.0080871529756 K, F = -0.0037745269893055267, relative_change = 1.0185523697623703e-7 Iter 90: T = 635.0078895984013 K, F = -0.0015785524300386267, relative_change = 4.259714407808285e-8 Iter 95: T = 635.0078069786541 K, F = -0.0006601695076596248, relative_change = 1.781464620258902e-8 Iter 100: T = 635.0077724260776 K, F = -0.000276090776567095, relative_change = 7.450299841857165e-9 Iter 105: T = 635.0077579757757 K, F = -0.0001154644611484068, relative_change = 3.115804738321557e-9 Iter 110: T = 635.0077519324865 K, F = -4.8288616767921955e-5, relative_change = 1.303066815999152e-9 Iter 115: T = 635.0077494051106 K, F = -2.019487676019338e-5, relative_change = 5.449581292527959e-10 Iter 120: T = 635.0077483481319 K, F = -8.445738872930875e-6, relative_change = 2.2790800595012925e-10 Iter 125: T = 635.0077479060908 K, F = -3.5321095745999287e-6, relative_change = 9.53138694818556e-11 Iter 130: T = 635.007747721224 K, F = -1.477170531949401e-6, relative_change = 3.986140194865397e-11 Iter 135: T = 635.0077476439103 K, F = -6.177704559573449e-7, relative_change = 1.6670517004354082e-11 Iter 140: T = 635.0077476115769 K, F = -2.5835912548233253e-7, relative_change = 6.971813161496935e-12 Iter 145: T = 635.0077475980546 K, F = -1.0804855010704273e-7, relative_change = 2.915686846311246e-12 Iter 150: T = 635.0077475923995 K, F = -4.518728585756193e-8, relative_change = 1.2193775378795945e-12 Iter 155: T = 635.0077475900345 K, F = -1.8897929610073305e-8, relative_change = 5.099600571718208e-13 Converged in 160 iterations to T = 635.0077475890454 K Iter 1: T = 966.4946251547055 K, F = -7634.231530339889, relative_change = 0.033505374845294464 Iter 2: T = 935.0290994416786 K, F = -6472.775491978766, relative_change = 0.03255633802204569 Iter 3: T = 905.5736794497943 K, F = -5486.610820519139, relative_change = 0.03150214256376894 Iter 5: T = 852.5683150250319 K, F = -3938.637344561129, relative_change = 0.029073571136766146 Iter 10: T = 752.6031014853269 K, F = -1708.553978203439, relative_change = 0.021430167202023342 Iter 15: T = 692.6878073190106 K, F = -732.9598900550454, relative_change = 0.013244548368571581 Iter 20: T = 661.2223921236704 K, F = -311.12920020273185, relative_change = 0.00694538432840765 Iter 25: T = 646.343029386356 K, F = -131.09839889588883, relative_change = 0.003253337418422765 Iter 30: T = 639.7434035225517 K, F = -55.01592047498567, relative_change = 0.0014328973076937323 Iter 35: T = 636.9100367143355 K, F = -23.04285736729252, relative_change = 0.0006129119811684121 Iter 40: T = 635.71164485582 K, F = -9.64295571619389, relative_change = 0.0002587964716872563 Iter 45: T = 635.2080636077069 K, F = -4.033884944288284, relative_change = 0.00010866980243479701 Iter 50: T = 634.9970366391456 K, F = -1.6872093956478977, relative_change = 4.552407661032306e-5 Iter 55: T = 634.908708342363 K, F = -0.7056444914129193, relative_change = 1.9052225275723975e-5 Iter 60: T = 634.871755379321 K, F = -0.29511479382998657, relative_change = 7.970234002888889e-6 Iter 65: T = 634.8562989311857 K, F = -0.12342155291309415, relative_change = 3.333661016524439e-6 Iter 70: T = 634.8498344615135 K, F = -0.0516165461031855, relative_change = 1.39424926659103e-6 Iter 75: T = 634.8471308733938 K, F = -0.02158668726555979, relative_change = 5.83104360834147e-7 Iter 80: T = 634.8460001883634 K, F = -0.009027815878408008, relative_change = 2.4386342287684834e-7 Iter 85: T = 634.8455273202483 K, F = -0.0037755413706313523, relative_change = 1.0198698326997222e-7 Iter 90: T = 634.8453295607824 K, F = -0.0015789766571114305, relative_change = 4.265224213799553e-8 Iter 95: T = 634.8452468553469 K, F = -0.0006603469243296467, relative_change = 1.7837688894363084e-8 Iter 100: T = 634.8452122669346 K, F = -0.00027616497435600795, relative_change = 7.4599365763673e-9 Iter 105: T = 634.8451978016454 K, F = -0.00011549549014500116, relative_change = 3.119834898738383e-9 Iter 110: T = 634.8451917520885 K, F = -4.830159327384731e-5, relative_change = 1.3047522722137116e-9 Iter 115: T = 634.8451892220914 K, F = -2.0200303274209297e-5, relative_change = 5.45662995981911e-10 Iter 120: T = 634.8451881640166 K, F = -8.448008811445806e-6, relative_change = 2.2820280330142903e-10 Iter 125: T = 634.8451877215169 K, F = -3.533058087645813e-6, relative_change = 9.543713560179636e-11 Iter 130: T = 634.8451875364583 K, F = -1.4775668402688957e-6, relative_change = 3.9912943289627333e-11 Iter 135: T = 634.8451874590646 K, F = -6.179365735214937e-7, relative_change = 1.6692082386862885e-11 Iter 140: T = 634.8451874266976 K, F = -2.584289564011577e-7, relative_change = 6.98084175186981e-12 Iter 145: T = 634.8451874131613 K, F = -1.0807794703637796e-7, relative_change = 2.9194679099092322e-12 Iter 150: T = 634.8451874075002 K, F = -4.5198713605199003e-8, relative_change = 1.2209354226606785e-12 Iter 155: T = 634.8451874051328 K, F = -1.890302930851462e-8, relative_change = 5.106202419909919e-13 Converged in 160 iterations to T = 634.8451874041427 K Iter 1: T = 976.4064208492474 K, F = -5375.81945278672, relative_change = 0.023593579150752535 Iter 2: T = 954.9751130540226 K, F = -4545.648542371174, relative_change = 0.021949167209065035 Iter 3: T = 935.6146939907737 K, F = -3841.93853477425, relative_change = 0.020273218431142145 Iter 5: T = 902.6865240335942 K, F = -2740.660023821106, relative_change = 0.016919828992038144 Iter 10: T = 848.4395269130403 K, F = -1168.724084360314, relative_change = 0.009526185322912712 Iter 15: T = 821.6463250217146 K, F = -493.9133322490298, relative_change = 0.004667605022994626 Iter 20: T = 809.4636151890497 K, F = -207.59130185430826, relative_change = 0.0021041040770995965 Iter 25: T = 804.1696042548617 K, F = -87.0093601818902, relative_change = 0.000909701613597991 Iter 30: T = 801.9182793613438 K, F = -36.42292801780039, relative_change = 0.00038591150949130235 Iter 35: T = 800.9700246932081 K, F = -15.23862374477391, relative_change = 0.00016236863080288896 Iter 40: T = 800.572262180715 K, F = -6.374050326510652, relative_change = 6.807669290662488e-5 Iter 45: T = 800.4057037029804 K, F = -2.6658925441403136, relative_change = 2.850071487049809e-5 Iter 50: T = 800.3360102436814 K, F = -1.1149411107759435, relative_change = 1.1924634641460533e-5 Iter 55: T = 800.3068571791683 K, F = -0.4662874635379747, relative_change = 4.987951377158419e-6 Iter 60: T = 800.294663894805 K, F = -0.19500799621901732, relative_change = 2.086182969950178e-6 Iter 65: T = 800.2895643209362 K, F = -0.08155484960861281, relative_change = 8.724949930572954e-7 Iter 70: T = 800.2874315838322 K, F = -0.03410724297752554, relative_change = 3.6489278639068937e-7 Iter 75: T = 800.2865396416868 K, F = -0.014264061744052259, relative_change = 1.5260338862133349e-7 Iter 80: T = 800.2861666197768 K, F = -0.005965401915250967, relative_change = 6.382071133624579e-8 Iter 85: T = 800.2860106173752 K, F = -0.0024948024872698538, relative_change = 2.6690610191823136e-8 Iter 90: T = 800.2859453752756 K, F = -0.001043356222439673, relative_change = 1.1162336568002544e-8 Iter 95: T = 800.2859180902448 K, F = -0.00043634403740155925, relative_change = 4.668223269114723e-9 Iter 100: T = 800.285906679318 K, F = -0.0001824842888801248, relative_change = 1.9523068689188995e-9 Iter 105: T = 800.285901907132 K, F = -7.631710982847206e-5, relative_change = 8.164780808186001e-10 Iter 110: T = 800.2858999113469 K, F = -3.191672744706775e-5, relative_change = 3.414608957281742e-10 Iter 115: T = 800.2858990766856 K, F = -1.3347956205223e-5, relative_change = 1.428030211483236e-10 Iter 120: T = 800.2858987276203 K, F = -5.582274540061327e-6, relative_change = 5.972192735721651e-11 Iter 125: T = 800.2858985816371 K, F = -2.3345757577120096e-6, relative_change = 2.4976443371335357e-11 Iter 130: T = 800.2858985205851 K, F = -9.763458358458266e-7, relative_change = 1.0445429499618773e-11 Iter 135: T = 800.2858984950525 K, F = -4.083218236861086e-7, relative_change = 4.36842834426796e-12 Iter 140: T = 800.2858984843745 K, F = -1.7076510050451077e-7, relative_change = 1.826929304362923e-12 Iter 145: T = 800.2858984799087 K, F = -7.141599422944012e-8, relative_change = 7.64043544471182e-13 Iter 150: T = 800.2858984780411 K, F = -2.986637270829817e-8, relative_change = 3.195251919547204e-13 Converged in 153 iterations to T = 800.2858984774944 K Iter 1: T = 965.168369626585 K, F = -7936.420114016856, relative_change = 0.034831630373415 Iter 2: T = 932.3105454380031 K, F = -6731.401972472901, relative_change = 0.03404361894007592 Iter 3: T = 901.3970558518405 K, F = -5708.131147570484, relative_change = 0.033157931911667264 Iter 5: T = 845.2901005079814 K, F = -4101.534036762022, relative_change = 0.031074694735431202 Iter 10: T = 736.8945667038663 K, F = -1784.8366442894178, relative_change = 0.024093444443229542 Iter 15: T = 669.0874034109054 K, F = -768.5400564920287, relative_change = 0.01578875590671712 Iter 20: T = 631.9738658555088 K, F = -327.26357884574185, relative_change = 0.008693068364603955 Iter 25: T = 613.8972217253912 K, F = -138.17127170916132, relative_change = 0.004197170586551387 Iter 30: T = 605.7451759361595 K, F = -58.04339356187254, relative_change = 0.0018773759772964188 Iter 35: T = 602.2171168783414 K, F = -24.322317931344713, relative_change = 0.0008087371696184548 Iter 40: T = 600.7195440817151 K, F = -10.180469961791841, relative_change = 0.0003425349670844929 Iter 45: T = 600.08927203585 K, F = -4.2591119656972145, relative_change = 0.00014402047511446718 Iter 50: T = 599.8249826108043 K, F = -1.7814781599521512, relative_change = 6.036651274412772e-5 Iter 55: T = 599.7143302271713 K, F = -0.7450821711006221, relative_change = 2.5269761700572013e-5 Iter 60: T = 599.6680324546766 K, F = -0.311610441540245, relative_change = 1.0572278424744185e-5 Iter 65: T = 599.6486663880471 K, F = -0.13032063910998143, relative_change = 4.422181507943686e-6 Iter 70: T = 599.6405666054259 K, F = -0.05450189794999233, relative_change = 1.849536549122376e-6 Iter 75: T = 599.6371790637525 K, F = -0.02279338839188655, relative_change = 7.735205628361643e-7 Iter 80: T = 599.6357623331056 K, F = -0.009532474891912557, relative_change = 3.2349943580891167e-7 Iter 85: T = 599.6351698358857 K, F = -0.0039865961799639416, relative_change = 1.3529200932172627e-7 Iter 90: T = 599.6349220458526 K, F = -0.0016672423663380842, relative_change = 5.6580853278995644e-8 Iter 95: T = 599.6348184169931 K, F = -0.0006972607096858985, relative_change = 2.3662809420337033e-8 Iter 100: T = 599.6347750781475 K, F = -0.0002916027632676732, relative_change = 9.896073150438392e-9 Iter 105: T = 599.6347569533214 K, F = -0.00012195175862139696, relative_change = 4.138656589843713e-9 Iter 110: T = 599.6347493733022 K, F = -5.100168220806278e-5, relative_change = 1.730835727611138e-9 Iter 115: T = 599.6347462032475 K, F = -2.132951318234433e-5, relative_change = 7.238562102157279e-10 Iter 120: T = 599.6347448774927 K, F = -8.920257997868664e-6, relative_change = 3.027253440456252e-10 Iter 125: T = 599.6347443230462 K, F = -3.7305582921143277e-6, relative_change = 1.2660335022864977e-10 Iter 130: T = 599.6347440911701 K, F = -1.5601642338047839e-6, relative_change = 5.294704004163885e-11 Iter 135: T = 599.6347439941967 K, F = -6.524790600037633e-7, relative_change = 2.2143075834202163e-11 Iter 140: T = 599.6347439536412 K, F = -2.728742161672848e-7, relative_change = 9.26048793612077e-12 Iter 145: T = 599.6347439366805 K, F = -1.1411949735196103e-7, relative_change = 3.8728548394563015e-12 Iter 150: T = 599.6347439295873 K, F = -4.77264148202039e-8, relative_change = 1.6196835852393373e-12 Iter 155: T = 599.6347439266209 K, F = -1.996062676257182e-8, relative_change = 6.774005472856493e-13 Iter 160: T = 599.6347439253802 K, F = -8.347298907640521e-9, relative_change = 2.8328092678186756e-13 Converged in 162 iterations to T = 599.6347439251177 K Iter 1: T = 964.5469164791994 K, F = -8078.018804803231, relative_change = 0.035453083520800656 Iter 2: T = 931.0325599968177 K, F = -6852.650135033507, relative_change = 0.034746217016292165 Iter 3: T = 899.4264962491967 K, F = -5812.050883047319, relative_change = 0.033947323762478235 Iter 5: T = 841.8269072855712 K, F = -4178.093451296846, relative_change = 0.03204950722107856 Iter 10: T = 729.2077616145124 K, F = -1821.0217417778433, relative_change = 0.0254885071141404 Iter 15: T = 657.1582600742573 K, F = -785.7008237551127, relative_change = 0.0172431327338177 Iter 20: T = 616.7855304470977 K, F = -335.19201777136, relative_change = 0.009770829377232124 Iter 25: T = 596.7637567938909 K, F = -141.69536040169405, relative_change = 0.004808298143532962 Iter 30: T = 587.6377282330404 K, F = -59.563581504948935, relative_change = 0.002172581030867751 Iter 35: T = 583.6671405262174 K, F = -24.96716138638401, relative_change = 0.0009403361751128569 Iter 40: T = 581.9776719178017 K, F = -10.4518211562347, relative_change = 0.00039909955275897556 Iter 45: T = 581.2658982280503 K, F = -4.372892670171545, relative_change = 0.00016795198244412516 Iter 50: T = 580.9673012616552 K, F = -1.8291152727656126, relative_change = 7.042376417935525e-5 Iter 55: T = 580.8422618102651 K, F = -0.7650138265048947, relative_change = 2.9484407116956044e-5 Iter 60: T = 580.7899403071318 K, F = -0.31994771756027107, relative_change = 1.2336397985978522e-5 Iter 65: T = 580.7680538381468 K, F = -0.13380767098460722, relative_change = 5.160220765630924e-6 Iter 70: T = 580.758899782059 K, F = -0.05596026591726813, relative_change = 2.158239465902662e-6 Iter 75: T = 580.7550712937 K, F = -0.023403303967815814, relative_change = 9.026318710035237e-7 Iter 80: T = 580.7534701474233 K, F = -0.009787550386368249, relative_change = 3.7749673685893255e-7 Iter 85: T = 580.7528005242548 K, F = -0.00409327206396487, relative_change = 1.5787457213709221e-7 Iter 90: T = 580.7525204790313 K, F = -0.0017118555416482106, relative_change = 6.602519388513528e-8 Iter 95: T = 580.7524033606313 K, F = -0.0007159184792925322, relative_change = 2.761255294893322e-8 Iter 100: T = 580.7523543802927 K, F = -0.00029940566564906623, relative_change = 1.154790434202507e-8 Iter 105: T = 580.752333896126 K, F = -0.00012521502677748098, relative_change = 4.829472385205674e-9 Iter 110: T = 580.7523253294021 K, F = -5.236642073125353e-5, relative_change = 2.0197432137601285e-9 Iter 115: T = 580.7523217466957 K, F = -2.1900263065699477e-5, relative_change = 8.446807780247684e-10 Iter 120: T = 580.752320248365 K, F = -9.158951830234852e-6, relative_change = 3.53255603810421e-10 Iter 125: T = 580.7523196217452 K, F = -3.830382937164423e-6, relative_change = 1.4773570920825013e-10 Iter 130: T = 580.7523193596853 K, F = -1.601912450244214e-6, relative_change = 6.178485971691689e-11 Iter 135: T = 580.7523192500887 K, F = -6.699390057152144e-7, relative_change = 2.5839169623710677e-11 Iter 140: T = 580.7523192042541 K, F = -2.801763842597005e-7, relative_change = 1.0806245133369673e-11 Iter 145: T = 580.7523191850855 K, F = -1.1717266706900986e-7, relative_change = 4.519283689176831e-12 Iter 150: T = 580.752319177069 K, F = -4.9003059332530796e-8, relative_change = 1.890020363242177e-12 Iter 155: T = 580.7523191737164 K, F = -2.049363179157382e-8, relative_change = 7.904278208649125e-13 Iter 160: T = 580.7523191723143 K, F = -8.570866683044187e-9, relative_change = 3.305734944484382e-13 Converged in 163 iterations to T = 580.7523191719038 K Iter 1: T = 964.3375439285152 K, F = -8125.724539641323, relative_change = 0.035662456071484785 Iter 2: T = 930.6013998291279 K, F = -6893.508464934202, relative_change = 0.03498375056720608 Iter 3: T = 898.7606397737103 K, F = -5847.07963329562, relative_change = 0.034215250547940376 Iter 5: T = 840.6523520352525 K, F = -4203.920485744836, relative_change = 0.03238347737735223 Iter 10: T = 726.5675965601919 K, F = -1833.280305492893, relative_change = 0.0259823158055119 Iter 15: T = 652.9967354821513 K, F = -791.5622125070757, relative_change = 0.01777988742613115 Iter 20: T = 611.4134746859418 K, F = -337.92700626500624, relative_change = 0.010184251195605067 Iter 25: T = 590.6490175055468 K, F = -142.92055213887778, relative_change = 0.005048921635626585 Iter 30: T = 581.1448345620445 K, F = -60.09449187976371, relative_change = 0.002290455310308136 Iter 35: T = 577.0009737364982 K, F = -25.19286409348417, relative_change = 0.000993230822035206 Iter 40: T = 575.2360771643193 K, F = -10.546891060517238, relative_change = 0.0004219011425660014 Iter 45: T = 574.4922140227261 K, F = -4.412773532428391, relative_change = 0.00017761093302863466 Iter 50: T = 574.1800995836411 K, F = -1.8458153893518605, relative_change = 7.44850812384739e-5 Iter 55: T = 574.0493897969934 K, F = -0.772001784602985, relative_change = 3.11867389938499e-5 Iter 60: T = 573.9946938782084 K, F = -0.3228708256170323, relative_change = 1.3049006902345801e-5 Iter 65: T = 573.9718138723109 K, F = -0.13503026529559542, relative_change = 5.4583602251282045e-6 Iter 70: T = 573.9622442148246 K, F = -0.056471589686018675, relative_change = 2.282945578281421e-6 Iter 75: T = 573.958241900833 K, F = -0.02361714921191349, relative_change = 9.547890653201499e-7 Iter 80: T = 573.9565680557732 K, F = -0.009876983640367598, relative_change = 3.9931012965375627e-7 Iter 85: T = 573.9558680286108 K, F = -0.00413067422604213, relative_change = 1.669973038758757e-7 Iter 90: T = 573.9555752679875 K, F = -0.001727497590221394, relative_change = 6.984044850803413e-8 Iter 95: T = 573.9554528318405 K, F = -0.0007224601756523064, relative_change = 2.9208141433125193e-8 Iter 100: T = 573.9554016275539 K, F = -0.0003021414822833579, relative_change = 1.2215199111361112e-8 Iter 105: T = 573.9553802133049 K, F = -0.00012635917776626648, relative_change = 5.108543118504997e-9 Iter 110: T = 573.9553712576095 K, F = -5.2844917621697185e-5, relative_change = 2.1364539172459945e-9 Iter 115: T = 573.9553675122305 K, F = -2.2100375663136607e-5, relative_change = 8.934905710899958e-10 Iter 120: T = 573.9553659458683 K, F = -9.242640734097307e-6, relative_change = 3.7366841998800666e-10 Iter 125: T = 573.9553652907969 K, F = -3.865382283807506e-6, relative_change = 1.5627257837252722e-10 Iter 130: T = 573.9553650168382 K, F = -1.6165489083452833e-6, relative_change = 6.535505365271284e-11 Iter 135: T = 573.9553649022655 K, F = -6.760610347100737e-7, relative_change = 2.7332303408749757e-11 Iter 140: T = 573.9553648543497 K, F = -2.8273662688871326e-7, relative_change = 1.1430688765067379e-11 Iter 145: T = 573.9553648343108 K, F = -1.182442830871544e-7, relative_change = 4.780468711520886e-12 Iter 150: T = 573.9553648259302 K, F = -4.9450647465754116e-8, relative_change = 1.9992279272958937e-12 Iter 155: T = 573.9553648224255 K, F = -2.06815155556761e-8, relative_change = 8.361278486302545e-13 Iter 160: T = 573.9553648209597 K, F = -8.649362892576562e-9, relative_change = 3.4968294117572494e-13 Converged in 163 iterations to T = 573.9553648205306 K Iter 1: T = 980.1621287874518 K, F = -4520.0778264662995, relative_change = 0.01983787121254817 Iter 2: T = 962.3670904427623 K, F = -3818.0996920739476, relative_change = 0.01815519884113816 Iter 3: T = 946.4938402866774 K, F = -3223.6373745863393, relative_change = 0.016493966090197466 Iter 5: T = 919.9890296811723 K, F = -2294.814765938116, relative_change = 0.013324482475117909 Iter 10: T = 877.9145121605512 K, F = -974.2066130438936, relative_change = 0.006997905564086676 Iter 15: T = 858.0003249010192 K, F = -410.5193610339621, relative_change = 0.003280912139650743 Iter 20: T = 849.1631888523715 K, F = -172.28111425747915, relative_change = 0.0014456954977114394 Iter 25: T = 845.368321121166 K, F = -72.15917206140765, relative_change = 0.0006185128842129802 Iter 30: T = 843.7630896213556 K, F = -30.19728859654667, relative_change = 0.0002611845388548629 Iter 35: T = 843.0885186446242 K, F = -12.632298353656534, relative_change = 0.0001096766858806779 Iter 40: T = 842.8058327044135 K, F = -5.283580291902538, relative_change = 4.5946608243816144e-5 Iter 45: T = 842.687509607936 K, F = -2.2097618644987964, relative_change = 1.9229186023095536e-5 Iter 50: T = 842.6380078785407 K, F = -0.9241672626571493, relative_change = 8.044285415539825e-6 Iter 55: T = 842.6173025843733 K, F = -0.3865010156971299, relative_change = 3.3646379574557485e-6 Iter 60: T = 842.6086428442834 K, F = -0.16163990544812123, relative_change = 1.4072055500809313e-6 Iter 65: T = 842.6050211433128 K, F = -0.06759983764067923, relative_change = 5.885230707017367e-7 Iter 70: T = 842.6035064882303 K, F = -0.028271076688004104, relative_change = 2.461296335812214e-7 Iter 75: T = 842.6028730385029 K, F = -0.01182330491829342, relative_change = 1.029347469070125e-7 Iter 80: T = 842.6026081217578 K, F = -0.004944647845361416, relative_change = 4.304860950003458e-8 Iter 85: T = 842.602497330323 K, F = -0.0020679108714030114, relative_change = 1.800345466439e-8 Iter 90: T = 842.6024509960065 K, F = -0.0008648250384268863, relative_change = 7.529261857358292e-9 Iter 95: T = 842.6024316184393 K, F = -0.0003616801626533661, relative_change = 3.1488276014339534e-9 Iter 100: T = 842.6024235145087 K, F = -0.00015125896445056242, relative_change = 1.3168773773566935e-9 Iter 105: T = 842.6024201253482 K, F = -6.325830671616295e-5, relative_change = 5.507338685171999e-10 Iter 110: T = 842.6024187079607 K, F = -2.6455381153533963e-5, relative_change = 2.3032349866478146e-10 Iter 115: T = 842.6024181151923 K, F = -1.106395609906663e-5, relative_change = 9.63240359893973e-11 Iter 120: T = 842.6024178672895 K, F = -4.627078217911418e-6, relative_change = 4.0283859174911444e-11 Iter 125: T = 842.6024177636135 K, F = -1.9350992261912836e-6, relative_change = 1.684718975816771e-11 Iter 130: T = 842.6024177202551 K, F = -8.092810508397719e-7, relative_change = 7.045691120120228e-12 Iter 135: T = 842.602417702122 K, F = -3.384508995285529e-7, relative_change = 2.946591292573702e-12 Iter 140: T = 842.6024176945385 K, F = -1.4154316052561455e-7, relative_change = 1.232290547689398e-12 Iter 145: T = 842.6024176913671 K, F = -5.919657053432559e-8, relative_change = 5.153719477189747e-13 Converged in 150 iterations to T = 842.6024176900407 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: 62%|████████████████████▌ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012711536177996078 Iteration 10: d = 1.017076361480918e-5 Iteration 20: d = 9.905798775163687e-8 Iteration 30: d = 1.1755321532002535e-9 Iteration 40: d = 1.493142942877713e-11 Iteration 50: d = 1.9572628988685492e-13 Iteration 60: d = 2.5943755270609884e-15 Converged after 61 iterations. d = 1.682970439342358e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.76840744025 Iteration 2: convergence error = 4823.92619058983 Iteration 3: convergence error = 1093.784762145801 Iteration 4: convergence error = 318.4563829102501 Iteration 5: convergence error = 94.278107371842 Iteration 6: convergence error = 28.075767989322685 Iteration 7: convergence error = 8.432434916738657 Iteration 8: convergence error = 2.522615982957859 Iteration 9: convergence error = 0.7528845431136233 Iteration 10: convergence error = 0.22439770586288432 Iteration 11: convergence error = 0.0668304603186698 Iteration 12: convergence error = 0.019894859267196807 Iteration 13: convergence error = 0.005921058633020948 Iteration 14: convergence error = 0.0017619604659557808 Iteration 15: convergence error = 0.0005242730496775039 Iteration 16: convergence error = 0.00015599061384818924 Iteration 17: convergence error = 4.641171312869119e-5 Iteration 18: convergence error = 1.3808609764964785e-5 Iteration 19: convergence error = 4.108355369680794e-6 Iteration 20: convergence error = 1.222311311721569e-6 Iteration 21: convergence error = 3.6365827327244915e-7 Iteration 22: convergence error = 1.0803978511830792e-7 Iteration 23: convergence error = 3.12422798742773e-8 Iteration 24: convergence error = 8.991946742753498e-9 Iteration 25: convergence error = 2.5775079848244786e-9 Iteration 26: convergence error = 7.4078343459405e-10 Iteration 27: convergence error = 2.1123014448676258e-10 Iteration 28: convergence error = 5.95719029661268e-11 Iteration 29: convergence error = 1.6370904631912708e-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: 66%|█████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016041281823970842 Iteration 10: d = 1.5243061065742454e-5 Iteration 20: d = 1.4073974766619383e-7 Iteration 30: d = 1.5005628961996416e-9 Iteration 40: d = 1.7383272449525993e-11 Iteration 50: d = 2.116663679221445e-13 Iteration 60: d = 2.6690545075515503e-15 Converged after 61 iterations. d = 1.6855573614047503e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 12271.212418818082 Iteration 2: convergence error = 8319.286594620942 Iteration 3: convergence error = 1942.3556725011726 Iteration 4: convergence error = 475.2047258341852 Iteration 5: convergence error = 120.66736692179302 Iteration 6: convergence error = 32.120038647009096 Iteration 7: convergence error = 8.72514648978472 Iteration 8: convergence error = 2.3838019453571633 Iteration 9: convergence error = 0.6520920115483477 Iteration 10: convergence error = 0.17840795245069785 Iteration 11: convergence error = 0.04880901580804675 Iteration 12: convergence error = 0.01335253955949156 Iteration 13: convergence error = 0.003652703796433343 Iteration 14: convergence error = 0.0009992136849632516 Iteration 15: convergence error = 0.00027333750335856166 Iteration 16: convergence error = 7.477195867977571e-5 Iteration 17: convergence error = 2.0453974912015838e-5 Iteration 18: convergence error = 5.595213906417484e-6 Iteration 19: convergence error = 1.5305756733141607e-6 Iteration 20: convergence error = 4.186947535345098e-7 Iteration 21: convergence error = 1.1540942068677396e-7 Iteration 22: convergence error = 3.0885075830155984e-8 Iteration 23: convergence error = 8.230699677369557e-9 Iteration 24: convergence error = 2.1923369786236435e-9 Iteration 25: convergence error = 5.834408511873335e-10 Iteration 26: convergence error = 1.5279510989785194e-10 Iteration 27: convergence error = 4.2518877307884395e-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: 62%|████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016041281823970842 Iteration 10: d = 1.5243061065742454e-5 Iteration 20: d = 1.4073974766619383e-7 Iteration 30: d = 1.5005628961996416e-9 Iteration 40: d = 1.7383272449525993e-11 Iteration 50: d = 2.116663679221445e-13 Iteration 60: d = 2.6690545075515503e-15 Converged after 61 iterations. d = 1.6855573614047503e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10995.901498278237 Iteration 2: convergence error = 5733.3127859554115 Iteration 3: convergence error = 2011.2626706082024 Iteration 4: convergence error = 891.9563358156774 Iteration 5: convergence error = 407.3722101102503 Iteration 6: convergence error = 191.8078832856968 Iteration 7: convergence error = 90.42654646929259 Iteration 8: convergence error = 42.65628768083752 Iteration 9: convergence error = 20.122875107229447 Iteration 10: convergence error = 9.491077142834456 Iteration 11: convergence error = 4.475449414147988 Iteration 12: convergence error = 2.1099144791446633 Iteration 13: convergence error = 0.9945371028343288 Iteration 14: convergence error = 0.4687325315826456 Iteration 15: convergence error = 0.2208986965197255 Iteration 16: convergence error = 0.10399931046686106 Iteration 17: convergence error = 0.04850980997798615 Iteration 18: convergence error = 0.022114770439202402 Iteration 19: convergence error = 0.010045121639905119 Iteration 20: convergence error = 0.004553160562863923 Iteration 21: convergence error = 0.0020612957928278774 Iteration 22: convergence error = 0.0009325209434791759 Iteration 23: convergence error = 0.00042169208245468326 Iteration 24: convergence error = 0.0001906447787405341 Iteration 25: convergence error = 8.61767798596702e-5 Iteration 26: convergence error = 3.895085865224246e-5 Iteration 27: convergence error = 1.7604365893930662e-5 Iteration 28: convergence error = 7.956271019793348e-6 Iteration 29: convergence error = 3.5957514228357468e-6 Iteration 30: convergence error = 1.6250428416242357e-6 Iteration 31: convergence error = 7.344056029978674e-7 Iteration 32: convergence error = 3.3190008252859116e-7 Iteration 33: convergence error = 1.4999022823758423e-7 Iteration 34: convergence error = 6.778327588108368e-8 Iteration 35: convergence error = 3.063496478716843e-8 Iteration 36: convergence error = 1.3845237845089287e-8 Iteration 37: convergence error = 6.258687790250406e-9 Iteration 38: convergence error = 2.8289832698646933e-9 Iteration 39: convergence error = 1.2782948033418506e-9 Iteration 40: convergence error = 5.788933776784688e-10 Iteration 41: convergence error = 2.6147972675971687e-10 Iteration 42: convergence error = 1.1550582712516189e-10 Iteration 43: convergence error = 5.729816621169448e-11 Iteration 44: convergence error = 2.637534635141492e-11 Iteration 45: convergence error = 1.0913936421275139e-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: 66%|█████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016041281823970842 Iteration 10: d = 1.5243061065742454e-5 Iteration 20: d = 1.4073974766619383e-7 Iteration 30: d = 1.5005628961996416e-9 Iteration 40: d = 1.7383272449525993e-11 Iteration 50: d = 2.116663679221445e-13 Iteration 60: d = 2.6690545075515503e-15 Converged after 61 iterations. d = 1.6855573614047503e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10827.044505555468 Iteration 2: convergence error = 7350.798771973805 Iteration 3: convergence error = 1727.6426351921368 Iteration 4: convergence error = 501.8792016800826 Iteration 5: convergence error = 155.55198175297846 Iteration 6: convergence error = 48.23021219793145 Iteration 7: convergence error = 14.930870484622574 Iteration 8: convergence error = 4.61470996956632 Iteration 9: convergence error = 1.424656456732464 Iteration 10: convergence error = 0.439513292626998 Iteration 11: convergence error = 0.13553651455913496 Iteration 12: convergence error = 0.041786797814438614 Iteration 13: convergence error = 0.012881436092811782 Iteration 14: convergence error = 0.003970606550865341 Iteration 15: convergence error = 0.0012238576832714898 Iteration 16: convergence error = 0.00037721978060289985 Iteration 17: convergence error = 0.00011626580953816301 Iteration 18: convergence error = 3.583489888114855e-5 Iteration 19: convergence error = 1.1044814527849667e-5 Iteration 20: convergence error = 3.4041459002764896e-6 Iteration 21: convergence error = 1.0492076398804784e-6 Iteration 22: convergence error = 3.23201220453484e-7 Iteration 23: convergence error = 9.834229786065407e-8 Iteration 24: convergence error = 2.9211605578893796e-8 Iteration 25: convergence error = 8.65293259266764e-9 Iteration 26: convergence error = 2.5597728381399065e-9 Iteration 27: convergence error = 7.507878763135523e-10 Iteration 28: convergence error = 2.2464519133791327e-10 Iteration 29: convergence error = 6.775735528208315e-11 Iteration 30: convergence error = 2.000888343900442e-11 Converged after 30 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: 62%|████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016041281823970842 Iteration 10: d = 1.5243061065742454e-5 Iteration 20: d = 1.4073974766619383e-7 Iteration 30: d = 1.5005628961996416e-9 Iteration 40: d = 1.7383272449525993e-11 Iteration 50: d = 2.116663679221445e-13 Iteration 60: d = 2.6690545075515503e-15 Converged after 61 iterations. d = 1.6855573614047503e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 7541.808195186955 Iteration 2: convergence error = 5519.569292389667 Iteration 3: convergence error = 933.3483161122542 Iteration 4: convergence error = 169.54308980010774 Iteration 5: convergence error = 30.699636419939907 Iteration 6: convergence error = 5.573559834233038 Iteration 7: convergence error = 1.0132293465660496 Iteration 8: convergence error = 0.18478044286757722 Iteration 9: convergence error = 0.033702402718972735 Iteration 10: convergence error = 0.0061435613538378675 Iteration 11: convergence error = 0.0011195817546649778 Iteration 12: convergence error = 0.00020399906225065934 Iteration 13: convergence error = 3.7167882055655355e-5 Iteration 14: convergence error = 6.771571861463599e-6 Iteration 15: convergence error = 1.2336931831669062e-6 Iteration 16: convergence error = 2.2474114302895032e-7 Iteration 17: convergence error = 4.096455086255446e-8 Iteration 18: convergence error = 7.436938176397234e-9 Iteration 19: convergence error = 1.3774297258350998e-9 Iteration 20: convergence error = 2.455635694786906e-10 Iteration 21: convergence error = 4.4565240386873484e-11 Iteration 22: convergence error = 9.549694368615746e-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: 62%|████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016041281823970842 Iteration 10: d = 1.5243061065742454e-5 Iteration 20: d = 1.4073974766619383e-7 Iteration 30: d = 1.5005628961996416e-9 Iteration 40: d = 1.7383272449525993e-11 Iteration 50: d = 2.116663679221445e-13 Iteration 60: d = 2.6690545075515503e-15 Converged after 61 iterations. d = 1.6855573614047503e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 3298.4993755288474 Iteration 2: convergence error = 2714.090569781029 Iteration 3: convergence error = 203.94556029866453 Iteration 4: convergence error = 19.277433898014728 Iteration 5: convergence error = 1.5910256577556094 Iteration 6: convergence error = 0.12933093521294342 Iteration 7: convergence error = 0.010523998568611784 Iteration 8: convergence error = 0.000858256172163011 Iteration 9: convergence error = 7.009587110097545e-5 Iteration 10: convergence error = 5.729657239846623e-6 Iteration 11: convergence error = 4.6855178582621067e-7 Iteration 12: convergence error = 3.832546523681385e-8 Iteration 13: convergence error = 3.1361804662754043e-9 Iteration 14: convergence error = 2.5559686096028126e-10 Iteration 15: convergence error = 2.1714186004828662e-11 Converged after 15 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: 62%|████████████████████▌ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012711536177996078 Iteration 10: d = 1.017076361480918e-5 Iteration 20: d = 9.905798775163687e-8 Iteration 30: d = 1.1755321532002535e-9 Iteration 40: d = 1.493142942877713e-11 Iteration 50: d = 1.9572628988685492e-13 Iteration 60: d = 2.5943755270609884e-15 Converged after 61 iterations. d = 1.682970439342358e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 6030.35480411376 Iteration 2: convergence error = 3610.116125564305 Iteration 3: convergence error = 590.7626339371761 Iteration 4: convergence error = 104.1549021844553 Iteration 5: convergence error = 18.48687417862334 Iteration 6: convergence error = 3.251727071889036 Iteration 7: convergence error = 0.5698030638889122 Iteration 8: convergence error = 0.09968842119064902 Iteration 9: convergence error = 0.017429188792448258 Iteration 10: convergence error = 0.003046427044637312 Iteration 11: convergence error = 0.0005324212313553289 Iteration 12: convergence error = 9.304642821916786e-5 Iteration 13: convergence error = 1.626057610337739e-5 Iteration 14: convergence error = 2.841625246219337e-6 Iteration 15: convergence error = 4.965900188835803e-7 Iteration 16: convergence error = 8.678739504830446e-8 Iteration 17: convergence error = 1.5177420209511183e-8 Iteration 18: convergence error = 2.627984940772876e-9 Iteration 19: convergence error = 4.697540134657174e-10 Iteration 20: convergence error = 7.889866537880152e-11 Iteration 21: convergence error = 1.2960299500264227e-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 7m13.2s Testing RayTraceHeatTransfer tests passed Testing completed after 442.23s PkgEval succeeded after 489.45s