Package evaluation to test RayTraceHeatTransfer on Julia 1.14.0-DEV.1741 (f7ebeb5678*) started at 2026-02-19T16:14:47.506 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 8.8s ################################################################################ # 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... 1240.4 ms ✓ Measurements 3467.2 ms ✓ StatsBase 4411.5 ms ✓ RayTraceHeatTransfer 3 dependencies successfully precompiled in 10 seconds. 58 already precompiled. Precompilation completed after 25.51s ################################################################################ # Testing # Testing RayTraceHeatTransfer Status `/tmp/jl_RZmqXv/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_RZmqXv/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: 0:03:19 Bin 1 progress: 62%|████████████████████▍ | ETA: 0:00:03 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:05 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0011475889191516885 Iteration 10: d = 1.0090788645497447e-5 Iteration 20: d = 1.7028154473536516e-7 Iteration 30: d = 3.0379554732506866e-9 Iteration 40: d = 5.4187570188582176e-11 Iteration 50: d = 9.663829394250458e-13 Iteration 60: d = 1.7199838853812414e-14 Converged after 66 iterations. d = 1.5182391996696173e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 58%|███████████████████ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:01 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013291537809282656 Iteration 10: d = 1.3245779052189376e-5 Iteration 20: d = 1.813653577043379e-7 Iteration 30: d = 2.7517221195527526e-9 Iteration 40: d = 4.366547419996753e-11 Iteration 50: d = 7.135067388260406e-13 Iteration 60: d = 1.188874286309166e-14 Converged after 65 iterations. d = 1.564582711983901e-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 = 0.0012943554578635835 Iteration 10: d = 9.042942225275295e-6 Iteration 20: d = 1.0952999863266226e-7 Iteration 30: d = 1.6552840238469463e-9 Iteration 40: d = 2.698717761694517e-11 Iteration 50: d = 4.581841259123014e-13 Iteration 60: d = 7.938316830443413e-15 Converged after 64 iterations. d = 1.5989093015858667e-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: 61%|████████████████████ | 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 = 0.0012635779181641596 Iteration 10: d = 1.1175271886178155e-5 Iteration 20: d = 1.675861666334391e-7 Iteration 30: d = 2.757398176511486e-9 Iteration 40: d = 4.6224141440111205e-11 Iteration 50: d = 7.828210904505505e-13 Iteration 60: d = 1.3363418313969356e-14 Converged after 65 iterations. d = 1.7182872171977068e-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 = 0.001293612545935421 Iteration 10: d = 1.4267158720722818e-5 Iteration 20: d = 1.8789315461963822e-7 Iteration 30: d = 2.8394019598960846e-9 Iteration 40: d = 4.3973696999428657e-11 Iteration 50: d = 6.82577034794854e-13 Iteration 60: d = 1.0651762469459263e-14 Converged after 64 iterations. d = 1.9823460622560226e-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 = 0.0015081504066437076 Iteration 10: d = 1.7238814787110025e-5 Iteration 20: d = 2.382157307091224e-7 Iteration 30: d = 3.6154840798837426e-9 Iteration 40: d = 5.566518494537954e-11 Iteration 50: d = 8.593514521592663e-13 Iteration 60: d = 1.3236613736839009e-14 Converged after 65 iterations. d = 1.6092543939670654e-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: 53%|█████████████████▋ | 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 = 0.0014005523307201275 Iteration 10: d = 1.2349154625965464e-5 Iteration 20: d = 1.543606724552958e-7 Iteration 30: d = 2.344445849614313e-9 Iteration 40: d = 3.657695185167284e-11 Iteration 50: d = 5.707125557459128e-13 Iteration 60: d = 8.887730681499373e-15 Converged after 64 iterations. d = 1.703289913041677e-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 = 0.0014231725217348137 Iteration 10: d = 1.3158865892191118e-5 Iteration 20: d = 1.493163801839528e-7 Iteration 30: d = 2.1421648602765245e-9 Iteration 40: d = 3.2783876423333315e-11 Iteration 50: d = 5.080438669704307e-13 Iteration 60: d = 7.898105792749e-15 Converged after 64 iterations. d = 1.5067487557858144e-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 = 0.0011335680404123136 Iteration 10: d = 9.538740975270629e-6 Iteration 20: d = 1.062445215809338e-7 Iteration 30: d = 1.5218941139190017e-9 Iteration 40: d = 2.3460087099758794e-11 Iteration 50: d = 3.6794126096817936e-13 Iteration 60: d = 5.764984753496977e-15 Converged after 63 iterations. d = 1.6890716231422917e-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 = 0.0011511264767361386 Iteration 10: d = 7.607252600775219e-6 Iteration 20: d = 8.318332435624674e-8 Iteration 30: d = 1.1861998517160419e-9 Iteration 40: d = 1.7892332149796245e-11 Iteration 50: d = 2.7422281064445594e-13 Iteration 60: d = 4.237427385299099e-15 Converged after 62 iterations. d = 1.8355586361048668e-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 = 0.004256167094020943 Iteration 10: d = 5.799112132019991e-5 Iteration 20: d = 7.149385099843235e-7 Iteration 30: d = 9.31457285011225e-9 Iteration 40: d = 1.2301858567575818e-10 Iteration 50: d = 1.6347130458756298e-12 Iteration 60: d = 2.184434221678025e-14 Converged after 66 iterations. d = 1.6582807398590606e-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 = 0.003427019000224496 Iteration 10: d = 2.9257572788977708e-5 Iteration 20: d = 3.6400984700952273e-7 Iteration 30: d = 5.294680569858761e-9 Iteration 40: d = 8.01079974701925e-11 Iteration 50: d = 1.2303984752083484e-12 Iteration 60: d = 1.8979427143302873e-14 Converged after 66 iterations. d = 1.5511616159034746e-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 = 0.0026263040310699 Iteration 10: d = 1.8536372701474602e-5 Iteration 20: d = 2.554896873321078e-7 Iteration 30: d = 4.215565830571747e-9 Iteration 40: d = 7.090339556332968e-11 Iteration 50: d = 1.1972547231047061e-12 Iteration 60: d = 2.023459354989973e-14 Converged after 66 iterations. d = 1.7533268739895108e-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 = 0.0022925316102607334 Iteration 10: d = 2.8228627569228136e-5 Iteration 20: d = 4.7383841035154606e-7 Iteration 30: d = 8.361993774372463e-9 Iteration 40: d = 1.490124170541231e-10 Iteration 50: d = 2.6682294324323425e-12 Iteration 60: d = 4.789243550026286e-14 Converged after 68 iterations. d = 1.927360589844783e-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 = 0.001293612545935421 Iteration 10: d = 1.4267158720722818e-5 Iteration 20: d = 1.8789315461963822e-7 Iteration 30: d = 2.8394019598960846e-9 Iteration 40: d = 4.3973696999428657e-11 Iteration 50: d = 6.82577034794854e-13 Iteration 60: d = 1.0651762469459263e-14 Converged after 64 iterations. d = 1.9823460622560226e-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: 67%|██████████████████████ | 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 = 0.0017886042711990741 Iteration 10: d = 1.750959263574792e-5 Iteration 20: d = 1.7338889129100677e-7 Iteration 30: d = 2.0990170794214813e-9 Iteration 40: d = 2.7561053886372675e-11 Iteration 50: d = 3.7593652085388963e-13 Iteration 60: d = 5.215991828554605e-15 Converged after 63 iterations. d = 1.4623057026209883e-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: 47%|███████████████▍ | 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 = 0.0016441853787710153 Iteration 10: d = 1.3205914930528256e-5 Iteration 20: d = 1.219940276925489e-7 Iteration 30: d = 1.5622284148284433e-9 Iteration 40: d = 2.169895303727933e-11 Iteration 50: d = 3.0561065430858865e-13 Iteration 60: d = 4.293488803738029e-15 Converged after 62 iterations. d = 1.8383796961754857e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.8338236356 Iteration 2: convergence error = 4832.301707115243 Iteration 3: convergence error = 1095.8076072807369 Iteration 4: convergence error = 318.14353029401855 Iteration 5: convergence error = 94.38654601045232 Iteration 6: convergence error = 28.290083275143388 Iteration 7: convergence error = 8.519895676743545 Iteration 8: convergence error = 2.5557598778207193 Iteration 9: convergence error = 0.7648630215699086 Iteration 10: convergence error = 0.22858965347018056 Iteration 11: convergence error = 0.0682640755619559 Iteration 12: convergence error = 0.020376790373575204 Iteration 13: convergence error = 0.006080926081722282 Iteration 14: convergence error = 0.0018144327411846461 Iteration 15: convergence error = 0.0005413472006239317 Iteration 16: convergence error = 0.00016150651413227024 Iteration 17: convergence error = 4.8182808995989035e-5 Iteration 18: convergence error = 1.4374313877851819e-5 Iteration 19: convergence error = 4.2882254547294e-6 Iteration 20: convergence error = 1.2792843335773796e-6 Iteration 21: convergence error = 3.8164102988957893e-7 Iteration 22: convergence error = 1.1371525943104643e-7 Iteration 23: convergence error = 3.301761353213806e-8 Iteration 24: convergence error = 9.528321243124083e-9 Iteration 25: convergence error = 2.735532689257525e-9 Iteration 26: convergence error = 7.914877642178908e-10 Iteration 27: convergence error = 2.212345862062648e-10 Iteration 28: convergence error = 6.730260793119669e-11 Iteration 29: convergence error = 2.000888343900442e-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 = 0.0017886042711990741 Iteration 10: d = 1.750959263574792e-5 Iteration 20: d = 1.7338889129100677e-7 Iteration 30: d = 2.0990170794214813e-9 Iteration 40: d = 2.7561053886372675e-11 Iteration 50: d = 3.7593652085388963e-13 Iteration 60: d = 5.215991828554605e-15 Converged after 63 iterations. d = 1.4623057026209883e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.793544882012 Iteration 2: convergence error = 4819.730763604419 Iteration 3: convergence error = 1098.9770220776752 Iteration 4: convergence error = 319.0824486296415 Iteration 5: convergence error = 94.65874110188861 Iteration 6: convergence error = 28.279109839476405 Iteration 7: convergence error = 8.512308034738908 Iteration 8: convergence error = 2.5523313517892348 Iteration 9: convergence error = 0.763511931134417 Iteration 10: convergence error = 0.2280920817133847 Iteration 11: convergence error = 0.06808808721484638 Iteration 12: convergence error = 0.02031619273020624 Iteration 13: convergence error = 0.006060456623117716 Iteration 14: convergence error = 0.0018076171918437467 Iteration 15: convergence error = 0.0005391033096202591 Iteration 16: convergence error = 0.0001607744377452036 Iteration 17: convergence error = 4.794575170308235e-5 Iteration 18: convergence error = 1.4298027508630184e-5 Iteration 19: convergence error = 4.263819619154674e-6 Iteration 20: convergence error = 1.2715011052932823e-6 Iteration 21: convergence error = 3.7917016015853733e-7 Iteration 22: convergence error = 1.1293423085589893e-7 Iteration 23: convergence error = 3.2769776225904934e-8 Iteration 24: convergence error = 9.447376214666292e-9 Iteration 25: convergence error = 2.7193891583010554e-9 Iteration 26: convergence error = 7.819380698492751e-10 Iteration 27: convergence error = 2.2077983885537833e-10 Iteration 28: convergence error = 6.298250809777528e-11 Iteration 29: convergence error = 1.8417267710901797e-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: 10:30:26 Bin 1 ray tracing: 13%|███▉ | ETA: 0:00:32 Bin 1 ray tracing: 26%|███████▊ | ETA: 0:00:17 Bin 1 ray tracing: 39%|███████████▋ | ETA: 0:00:11 Bin 1 ray tracing: 51%|███████████████▍ | ETA: 0:00:08 Bin 1 ray tracing: 63%|███████████████████ | ETA: 0:00:05 Bin 1 ray tracing: 76%|██████████████████████▊ | ETA: 0:00:03 Bin 1 ray tracing: 89%|██████████████████████████▋ | ETA: 0:00:01 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: 13%|███▉ | ETA: 0:00:07 Bin 2 ray tracing: 26%|███████▉ | ETA: 0:00:06 Bin 2 ray tracing: 39%|███████████▋ | ETA: 0:00:05 Bin 2 ray tracing: 52%|███████████████▌ | ETA: 0:00:04 Bin 2 ray tracing: 64%|███████████████████▎ | ETA: 0:00:03 Bin 2 ray tracing: 76%|██████████████████████▊ | 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: 26%|███████▉ | ETA: 0:00:06 Bin 3 ray tracing: 39%|███████████▉ | ETA: 0:00:05 Bin 3 ray tracing: 53%|███████████████▉ | ETA: 0:00:04 Bin 3 ray tracing: 66%|███████████████████▋ | ETA: 0:00:03 Bin 3 ray tracing: 79%|███████████████████████▋ | ETA: 0:00:02 Bin 3 ray tracing: 92%|███████████████████████████▋ | 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: 14%|████▎ | ETA: 0:00:06 Bin 4 ray tracing: 28%|████████▍ | ETA: 0:00:06 Bin 4 ray tracing: 42%|████████████▌ | ETA: 0:00:05 Bin 4 ray tracing: 56%|████████████████▊ | ETA: 0:00:03 Bin 4 ray tracing: 70%|████████████████████▉ | ETA: 0:00:02 Bin 4 ray tracing: 83%|█████████████████████████ | ETA: 0:00:01 Bin 4 ray tracing: 98%|█████████████████████████████▍| 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: 13%|████ | ETA: 0:00:06 Bin 5 ray tracing: 27%|████████ | ETA: 0:00:06 Bin 5 ray tracing: 41%|████████████▍ | ETA: 0:00:04 Bin 5 ray tracing: 55%|████████████████▋ | ETA: 0:00:03 Bin 5 ray tracing: 70%|████████████████████▉ | ETA: 0:00:02 Bin 5 ray tracing: 84%|█████████████████████████▏ | ETA: 0:00:01 Bin 5 ray tracing: 98%|█████████████████████████████▌| 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: 15%|████▍ | ETA: 0:00:06 Bin 6 ray tracing: 29%|████████▊ | ETA: 0:00:05 Bin 6 ray tracing: 44%|█████████████▏ | ETA: 0:00:04 Bin 6 ray tracing: 58%|█████████████████▌ | ETA: 0:00:03 Bin 6 ray tracing: 73%|█████████████████████▉ | ETA: 0:00:02 Bin 6 ray tracing: 87%|██████████████████████████▎ | ETA: 0:00:01 Bin 6 ray tracing: 100%|██████████████████████████████| Time: 0:00:06 Updating spectral results for spectral bin 6 Energy per ray: 0.013246116789219251 Processing spectral bin 7/10 Bin 7 ray tracing: 14%|████▏ | ETA: 0:00:06 Bin 7 ray tracing: 27%|████████▎ | ETA: 0:00:05 Bin 7 ray tracing: 41%|████████████▏ | ETA: 0:00:05 Bin 7 ray tracing: 50%|██████████████▉ | ETA: 0:00:05 Bin 7 ray tracing: 61%|██████████████████▎ | ETA: 0:00:04 Bin 7 ray tracing: 72%|█████████████████████▋ | ETA: 0:00:03 Bin 7 ray tracing: 86%|█████████████████████████▊ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:08 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 11%|███▎ | ETA: 0:00:08 Bin 8 ray tracing: 23%|███████ | ETA: 0:00:07 Bin 8 ray tracing: 37%|███████████▏ | ETA: 0:00:05 Bin 8 ray tracing: 51%|███████████████▍ | ETA: 0:00:04 Bin 8 ray tracing: 65%|███████████████████▋ | ETA: 0:00:03 Bin 8 ray tracing: 79%|███████████████████████▊ | ETA: 0:00:02 Bin 8 ray tracing: 93%|████████████████████████████ | ETA: 0:00:01 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: 28%|████████▍ | ETA: 0:00:05 Bin 9 ray tracing: 42%|████████████▋ | ETA: 0:00:04 Bin 9 ray tracing: 57%|█████████████████ | ETA: 0:00:03 Bin 9 ray tracing: 71%|█████████████████████▎ | ETA: 0:00:02 Bin 9 ray tracing: 85%|█████████████████████████▌ | ETA: 0:00:01 Bin 9 ray tracing: 99%|█████████████████████████████▊| 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: 13%|███▉ | 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: 84%|████████████████████████▍ | ETA: 0:00:01 Bin 10 ray tracing: 98%|████████████████████████████▌| 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: 71%|███████████████████████▌ | 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: 36%|███████████▊ | ETA: 0:00:02 Bin 3 progress: 69%|██████████████████████▊ | ETA: 0:00:01 Bin 3 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 4/10 Using 1 threads for spectral bin 4 Bin 4 progress: 24%|████████▏ | ETA: 0:00:03 Bin 4 progress: 51%|████████████████▉ | ETA: 0:00:02 Bin 4 progress: 82%|███████████████████████████▏ | ETA: 0:00:01 Bin 4 progress: 100%|█████████████████████████████████| Time: 0:00:03 Computing F matrix for spectral bin 5/10 Using 1 threads for spectral bin 5 Bin 5 progress: 33%|███████████ | 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: 73%|████████████████████████▎ | 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: 73%|████████████████████████▎ | 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: 36%|███████████▊ | ETA: 0:00:02 Bin 9 progress: 73%|████████████████████████▎ | 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: 73%|███████████████████████▌ | ETA: 0:00:01 Bin 10 progress: 100%|████████████████████████████████| Time: 0:00:02 Smoothing F matrix for spectral bin 1/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0017886042711990741 Iteration 10: d = 1.750959263574792e-5 Iteration 20: d = 1.7338889129100677e-7 Iteration 30: d = 2.0990170794214813e-9 Iteration 40: d = 2.7561053886372675e-11 Iteration 50: d = 3.7593652085388963e-13 Iteration 60: d = 5.215991828554605e-15 Converged after 63 iterations. d = 1.4623057026209883e-15 Smoothing F matrix for spectral bin 2/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0016534057029522933 Iteration 10: d = 1.322540883519674e-5 Iteration 20: d = 1.207534515355852e-7 Iteration 30: d = 1.5437155714517533e-9 Iteration 40: d = 2.1470850155843946e-11 Iteration 50: d = 3.0274004722183693e-13 Iteration 60: d = 4.29109652603273e-15 Converged after 62 iterations. d = 1.8454069679974607e-15 Smoothing F matrix for spectral bin 3/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001372660346443552 Iteration 10: d = 1.8354518865610285e-5 Iteration 20: d = 2.4214037547172187e-7 Iteration 30: d = 3.343526097286308e-9 Iteration 40: d = 4.659705256774427e-11 Iteration 50: d = 6.519880498183899e-13 Iteration 60: d = 9.132343757507353e-15 Converged after 64 iterations. d = 1.6230985352898058e-15 Smoothing F matrix for spectral bin 4/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001319309244478011 Iteration 10: d = 8.946846428903064e-6 Iteration 20: d = 7.889975211813735e-8 Iteration 30: d = 9.53325695047408e-10 Iteration 40: d = 1.2274080586266589e-11 Iteration 50: d = 1.6072896466975805e-13 Converged after 60 iterations. d = 2.1343572409675816e-15 Smoothing F matrix for spectral bin 5/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001498420636948258 Iteration 10: d = 1.5008270958156522e-5 Iteration 20: d = 1.5336098768535193e-7 Iteration 30: d = 1.9093033932016088e-9 Iteration 40: d = 2.5677415907268242e-11 Iteration 50: d = 3.5559522914201245e-13 Iteration 60: d = 4.952396501320848e-15 Converged after 62 iterations. d = 2.1194477923625415e-15 Smoothing F matrix for spectral bin 6/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0017262309881768227 Iteration 10: d = 1.0751566552489123e-5 Iteration 20: d = 6.544876327827128e-8 Iteration 30: d = 6.259536984999711e-10 Iteration 40: d = 8.161978001434461e-12 Iteration 50: d = 1.1501324518339913e-13 Converged after 60 iterations. d = 1.5809250057680393e-15 Smoothing F matrix for spectral bin 7/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001531313792944829 Iteration 10: d = 1.8109528293803925e-5 Iteration 20: d = 2.2035386664081775e-7 Iteration 30: d = 2.8967077893211518e-9 Iteration 40: d = 3.8825712751207857e-11 Iteration 50: d = 5.246248022161065e-13 Iteration 60: d = 7.094789714386682e-15 Converged after 63 iterations. d = 1.9657408616802703e-15 Smoothing F matrix for spectral bin 8/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012468058145476584 Iteration 10: d = 6.591289194595322e-6 Iteration 20: d = 4.154007598837098e-8 Iteration 30: d = 4.1752527178282535e-10 Iteration 40: d = 5.235559445400422e-12 Iteration 50: d = 7.086779577459834e-14 Converged after 59 iterations. d = 1.5095417754038845e-15 Smoothing F matrix for spectral bin 9/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013147979504045107 Iteration 10: d = 1.0617588032947303e-5 Iteration 20: d = 1.1997761646711882e-7 Iteration 30: d = 1.6270856557380558e-9 Iteration 40: d = 2.2628306688851443e-11 Iteration 50: d = 3.1650330536452785e-13 Iteration 60: d = 4.4525492431460864e-15 Converged after 62 iterations. d = 1.8712341534191293e-15 Smoothing F matrix for spectral bin 10/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0017753409944765766 Iteration 10: d = 1.7230796696130213e-5 Iteration 20: d = 1.8701080836658625e-7 Iteration 30: d = 2.355606942834447e-9 Iteration 40: d = 3.135159039905277e-11 Iteration 50: d = 4.283472780946514e-13 Iteration 60: d = 5.920703692576943e-15 Converged after 63 iterations. d = 1.657356025469387e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8652.573492905474 Iteration 2: convergence error = 4825.385943966573 Iteration 3: convergence error = 1098.3543580641388 Iteration 4: convergence error = 318.3166856966752 Iteration 5: convergence error = 94.74951541569271 Iteration 6: convergence error = 28.381624960603858 Iteration 7: convergence error = 8.559675985012746 Iteration 8: convergence error = 2.577030306601955 Iteration 9: convergence error = 0.77415933133625 Iteration 10: convergence error = 0.2322680549082179 Iteration 11: convergence error = 0.06963595118872945 Iteration 12: convergence error = 0.020868841881792832 Iteration 13: convergence error = 0.006252607850228742 Iteration 14: convergence error = 0.001873120863137956 Iteration 15: convergence error = 0.0005610958264696819 Iteration 16: convergence error = 0.0001680695665982057 Iteration 17: convergence error = 5.034194828112959e-5 Iteration 18: convergence error = 1.5078723663464189e-5 Iteration 19: convergence error = 4.5164310904510785e-6 Iteration 20: convergence error = 1.3527735518437112e-6 Iteration 21: convergence error = 4.0517852539778687e-7 Iteration 22: convergence error = 1.2124064596719109e-7 Iteration 23: convergence error = 3.5407992982072756e-8 Iteration 24: convergence error = 1.0260691851726733e-8 Iteration 25: convergence error = 2.9574493964901194e-9 Iteration 26: convergence error = 8.546976459911093e-10 Iteration 27: convergence error = 2.467004378559068e-10 Iteration 28: convergence error = 6.980371836107224e-11 Iteration 29: convergence error = 2.091837814077735e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Iter 1: T = 967.2739833499331 K, F = -7456.65402419625, relative_change = 0.03272601665006688 Iter 2: T = 936.6210535276527 K, F = -6320.880517743441, relative_change = 0.031690017874895136 Iter 3: T = 908.0099767190362 K, F = -5356.5994927590655, relative_change = 0.030547121165872698 Iter 5: T = 856.7759012803369 K, F = -3843.218266860696, relative_change = 0.027945574106064373 Iter 10: T = 761.4296882614653 K, F = -1664.279985435171, relative_change = 0.020037397229150045 Iter 15: T = 705.5461821466752 K, F = -712.6203579068972, relative_change = 0.012023126448147367 Iter 20: T = 676.7797077518165 K, F = -302.0488513165699, relative_change = 0.006163226974591811 Iter 25: T = 663.3572906268824 K, F = -127.16080999436612, relative_change = 0.0028487887742581156 Iter 30: T = 657.4464521386175 K, F = -53.34029696440645, relative_change = 0.0012465127588990068 Iter 35: T = 654.9173603215548 K, F = -22.336650296188925, relative_change = 0.0005316140460815177 Iter 40: T = 653.8492568265417 K, F = -9.346628537944664, relative_change = 0.00022418291307346112 Iter 45: T = 653.4007107223607 K, F = -3.9097830844115635, relative_change = 9.408450345662151e-5 Iter 50: T = 653.2127969742656 K, F = -1.6352778546538316, relative_change = 3.940501959195369e-5 Iter 55: T = 653.1341519329833 K, F = -0.6839207251003445, relative_change = 1.6489773273678946e-5 Iter 60: T = 653.1012516082432 K, F = -0.2860287141568214, relative_change = 6.89799231842247e-6 Iter 65: T = 653.0874905444392 K, F = -0.11962148120319221, relative_change = 2.8851328444481747e-6 Iter 70: T = 653.0817351961789 K, F = -0.05002728192320871, relative_change = 1.206651252584638e-6 Iter 75: T = 653.0793281870974 K, F = -0.020922032966737558, relative_change = 5.046454516736128e-7 Iter 80: T = 653.0783215377604 K, F = -0.008749848632381207, relative_change = 2.110504140018245e-7 Iter 85: T = 653.0779005433429 K, F = -0.0036592919938140955, relative_change = 8.826409380964525e-8 Iter 90: T = 653.0777244781625 K, F = -0.0015303597534028768, relative_change = 3.69131488934559e-8 Iter 95: T = 653.077650845551 K, F = -0.0006400147491861241, relative_change = 1.5437528567966707e-8 Iter 100: T = 653.0776200515048 K, F = -0.00026766181542359213, relative_change = 6.456160354154845e-9 Iter 105: T = 653.0776071730655 K, F = -0.00011193936883879818, relative_change = 2.7000436422862344e-9 Iter 110: T = 653.0776017871481 K, F = -4.681438068476762e-5, relative_change = 1.129190535999218e-9 Iter 115: T = 653.077599534693 K, F = -1.9578333834036066e-5, relative_change = 4.722409933801462e-10 Iter 120: T = 653.0775985926894 K, F = -8.187892691358112e-6, relative_change = 1.9749681651094676e-10 Iter 125: T = 653.0775981987322 K, F = -3.4242743294776723e-6, relative_change = 8.259552321540178e-11 Iter 130: T = 653.0775980339746 K, F = -1.4320718040861102e-6, relative_change = 3.454241941551143e-11 Iter 135: T = 653.077597965071 K, F = -5.989099378655993e-7, relative_change = 1.4446062143835978e-11 Iter 140: T = 653.0775979362547 K, F = -2.504714949891351e-7, relative_change = 6.041520692623161e-12 Iter 145: T = 653.0775979242035 K, F = -1.0475004030841006e-7, relative_change = 2.5266329653976018e-12 Iter 150: T = 653.0775979191635 K, F = -4.380843215967545e-8, relative_change = 1.0566853104322915e-12 Iter 155: T = 653.0775979170556 K, F = -1.832161661274867e-8, relative_change = 4.419282358199025e-13 Converged in 159 iterations to T = 653.0775979162948 K Iter 1: T = 970.366281818387 K, F = -6752.070876623797, relative_change = 0.02963371818161299 Iter 2: T = 942.897315816041 K, F = -5718.8126797168525, relative_change = 0.028307832327882903 Iter 3: T = 917.5482086174352 K, F = -4841.922143023773, relative_change = 0.026884271249268617 Iter 5: T = 872.992869315318 K, F = -3466.763396672026, relative_change = 0.023789380217010398 Iter 10: T = 793.9293704292177 K, F = -1492.1240522496505, relative_change = 0.015483680910792897 Iter 15: T = 750.8674644280786 K, F = -635.1402792268054, relative_change = 0.008474643798831802 Iter 20: T = 729.9702829211509 K, F = -268.0902490556169, relative_change = 0.004076110297859919 Iter 25: T = 720.5661837366099 K, F = -112.60532583010634, relative_change = 0.0018196021392951458 Iter 30: T = 716.5004842630244 K, F = -47.182889961751606, relative_change = 0.0007831277716422151 Iter 35: T = 714.7755027367149 K, F = -19.74857523461749, relative_change = 0.0003315547619885655 Iter 40: T = 714.0496693157933 K, F = -8.261939984557866, relative_change = 0.00013937987403099162 Iter 45: T = 713.7453345443615 K, F = -3.455742610848401, relative_change = 5.8417167788733916e-5 Iter 50: T = 713.6179206037745 K, F = -1.4453205529279807, relative_change = 2.445301260074614e-5 Iter 55: T = 713.5646104758965 K, F = -0.6044656704884186, relative_change = 1.0230439599668841e-5 Iter 60: T = 713.5423113258813 K, F = -0.2527974485776508, relative_change = 4.2791741109748036e-6 Iter 65: T = 713.5329848170762 K, F = -0.10572338192246844, relative_change = 1.7897210438846706e-6 Iter 70: T = 713.5290842306241 K, F = -0.04421486310485567, relative_change = 7.485035866094028e-7 Iter 75: T = 713.5274529362083 K, F = -0.018491198157409405, relative_change = 3.1303678960998316e-7 Iter 80: T = 713.5267707054529 K, F = -0.007733242414321162, relative_change = 1.3091636238112223e-7 Iter 85: T = 713.5264853877127 K, F = -0.003234134771250119, relative_change = 5.4750897890390005e-8 Iter 90: T = 713.5263660643056 K, F = -0.0013525538617727983, relative_change = 2.2897498891336072e-8 Iter 95: T = 713.5263161618107 K, F = -0.0005656541915718405, relative_change = 9.576010910385087e-9 Iter 100: T = 713.5262952919876 K, F = -0.00023656334101007648, relative_change = 4.004802728818796e-9 Iter 105: T = 713.5262865639777 K, F = -9.893361477064655e-5, relative_change = 1.674856432905468e-9 Iter 110: T = 713.5262829138196 K, F = -4.137521863123439e-5, relative_change = 7.004449694462042e-10 Iter 115: T = 713.5262813872798 K, F = -1.730361032892258e-5, relative_change = 2.929344504408148e-10 Iter 120: T = 713.5262807488627 K, F = -7.236576553881768e-6, relative_change = 1.2250868718254751e-10 Iter 125: T = 713.526280481869 K, F = -3.026422059737577e-6, relative_change = 5.1234584654591843e-11 Iter 130: T = 713.5262803702091 K, F = -1.2656862190540963e-6, relative_change = 2.1426921461911306e-11 Iter 135: T = 713.5262803235116 K, F = -5.293251875704286e-7, relative_change = 8.960996062589166e-12 Iter 140: T = 713.526280303982 K, F = -2.2136890032165013e-7, relative_change = 3.747575008711571e-12 Iter 145: T = 713.5262802958147 K, F = -9.258014310731255e-8, relative_change = 1.5672979814539978e-12 Iter 150: T = 713.526280292399 K, F = -3.871820908329937e-8, relative_change = 6.554642162608509e-13 Iter 155: T = 713.5262802909705 K, F = -1.6191991747405154e-8, relative_change = 2.7411575668912226e-13 Converged in 157 iterations to T = 713.5262802906682 K Iter 1: T = 974.3551067607433 K, F = -5843.21331915585, relative_change = 0.02564489323925673 Iter 2: T = 950.8998624695777 K, F = -4943.647008919995, relative_change = 0.024072583115146647 Iter 3: T = 929.5600237259623 K, F = -4180.765425740675, relative_change = 0.022441730812952015 Iter 5: T = 892.8752081964778 K, F = -2985.9523037801296, relative_change = 0.019088437851649664 Iter 10: T = 831.0372587110263 K, F = -1276.9274607728487, relative_change = 0.011230002213641361 Iter 15: T = 799.6186440670223 K, F = -540.72229578312, relative_change = 0.005673653971474767 Iter 20: T = 785.0815796433562 K, F = -227.5171478420169, relative_change = 0.0026009386716754433 Iter 25: T = 778.708065794191 K, F = -95.41157471626511, relative_change = 0.001133519728359781 Iter 30: T = 775.9865988745529 K, F = -39.94956533518158, relative_change = 0.0004825614275549674 Iter 35: T = 774.8382838716494 K, F = -16.715784232022273, relative_change = 0.00020334087612553027 Iter 40: T = 774.356238366049 K, F = -6.992218935652818, relative_change = 8.530979825329333e-5 Iter 45: T = 774.1543230942689 K, F = -2.924488718199728, relative_change = 3.572505820007984e-5 Iter 50: T = 774.0698239255415 K, F = -1.22310150223257, relative_change = 1.4948966835049366e-5 Iter 55: T = 774.0344755946429 K, F = -0.511523598341499, relative_change = 6.253292974453027e-6 Iter 60: T = 774.0196907909885 K, F = -0.21392666721882359, relative_change = 2.6154566350811497e-6 Iter 65: T = 774.0135073104736 K, F = -0.0894669300864156, relative_change = 1.0938597767442457e-6 Iter 70: T = 774.0109212527661 K, F = -0.0374161811249627, relative_change = 4.574730190107102e-7 Iter 75: T = 774.0098397233995 K, F = -0.015647901219709492, relative_change = 1.9132204360903595e-7 Iter 80: T = 774.0093874133021 K, F = -0.00654414046402374, relative_change = 8.001340200492595e-8 Iter 85: T = 774.0091982515378 K, F = -0.002736837921698987, relative_change = 3.346260198199307e-8 Iter 90: T = 774.0091191417799 K, F = -0.0011445783424816058, relative_change = 1.399446706228581e-8 Iter 95: T = 774.009086057126 K, F = -0.0004786763382610415, relative_change = 5.852654522611567e-9 Iter 100: T = 774.0090722207269 K, F = -0.00020018816054101496, relative_change = 2.447650216304934e-9 Iter 105: T = 774.0090664341794 K, F = -8.37210801782895e-5, relative_change = 1.0236365964302983e-9 Iter 110: T = 774.0090640141761 K, F = -3.501315512421943e-5, relative_change = 4.2809705033493235e-10 Iter 115: T = 774.0090630021018 K, F = -1.4642918875096278e-5, relative_change = 1.7903529103586413e-10 Iter 120: T = 774.0090625788403 K, F = -6.123842678174007e-6, relative_change = 7.487468641678938e-11 Iter 125: T = 774.0090624018274 K, F = -2.561065603146062e-6, relative_change = 3.1313505949562786e-11 Iter 130: T = 774.0090623277983 K, F = -1.0710688844728367e-6, relative_change = 1.309569027064548e-11 Iter 135: T = 774.0090622968386 K, F = -4.479344103414107e-7, relative_change = 5.476781545567583e-12 Iter 140: T = 774.0090622838909 K, F = -1.8733304230078573e-7, relative_change = 2.2904740634855396e-12 Iter 145: T = 774.0090622784759 K, F = -7.834540116657962e-8, relative_change = 9.579095453074004e-13 Iter 150: T = 774.0090622762114 K, F = -3.27653879583778e-8, relative_change = 4.0061417025274163e-13 Converged in 154 iterations to T = 774.0090622753938 K Iter 1: T = 970.3881703692452 K, F = -6747.083549489368, relative_change = 0.029611829630754784 Iter 2: T = 942.9415146439813 K, F = -5714.554499836319, relative_change = 0.028284202717372437 Iter 3: T = 917.6150067096889 K, F = -4838.2856947369955, relative_change = 0.026859044321380563 Iter 5: T = 873.1050534649013 K, F = -3464.1105670526345, relative_change = 0.023761660947470013 Iter 10: T = 794.1465815516706 K, F = -1490.9235775519724, relative_change = 0.015456041711984676 Iter 15: T = 751.1611289072581 K, F = -634.6072408762503, relative_change = 0.008454970676990017 Iter 20: T = 730.3079513634849 K, F = -267.8592126356571, relative_change = 0.00406524916097362 Iter 25: T = 720.9254413394219 K, F = -112.50695500265356, relative_change = 0.0018144295715416033 Iter 30: T = 716.86945362721 K, F = -47.14141303212307, relative_change = 0.0007808371386466267 Iter 35: T = 715.1486646257191 K, F = -19.731167558881264, relative_change = 0.00033057305262111094 Iter 40: T = 714.4246084035777 K, F = -8.254648926977563, relative_change = 0.00013896504576384858 Iter 45: T = 714.1210211178296 K, F = -3.4526914718000175, relative_change = 5.82429270335603e-5 Iter 50: T = 713.993920531556 K, F = -1.4440441911897142, relative_change = 2.4380010419724115e-5 Iter 55: T = 713.9407415832143 K, F = -0.6039318214011176, relative_change = 1.0199885974455303e-5 Iter 60: T = 713.9184973169922 K, F = -0.2525741761267111, relative_change = 4.266392151720176e-6 Iter 65: T = 713.9091937652599 K, F = -0.10563000489933849, relative_change = 1.784374764066137e-6 Iter 70: T = 713.9053027804322 K, F = -0.04417581140066007, relative_change = 7.462675840266653e-7 Iter 75: T = 713.9036755016532 K, F = -0.01847486621263994, relative_change = 3.1210164484600526e-7 Iter 80: T = 713.9029949503064 K, F = -0.007726412188324483, relative_change = 1.3052526983110543e-7 Iter 85: T = 713.9027103349189 K, F = -0.003231278285917072, relative_change = 5.458733762292385e-8 Iter 90: T = 713.9025913052448 K, F = -0.0013513592467935265, relative_change = 2.2829095944636338e-8 Iter 95: T = 713.9025415255925 K, F = -0.0005651545886700138, relative_change = 9.547403950667722e-9 Iter 100: T = 713.9025207071437 K, F = -0.00023635440122704576, relative_change = 3.99283895517747e-9 Iter 105: T = 713.9025120006191 K, F = -9.884623401057446e-5, relative_change = 1.6698530452492155e-9 Iter 110: T = 713.9025083594465 K, F = -4.1338674803492736e-5, relative_change = 6.983524903546527e-10 Iter 115: T = 713.9025068366647 K, F = -1.7288327913589363e-5, relative_change = 2.920593616638144e-10 Iter 120: T = 713.9025061998191 K, F = -7.230186165219088e-6, relative_change = 1.221427298028759e-10 Iter 125: T = 713.9025059334828 K, F = -3.0237517439912764e-6, relative_change = 5.1081574453778654e-11 Iter 130: T = 713.9025058220976 K, F = -1.2645707714309395e-6, relative_change = 2.1362952890980868e-11 Iter 135: T = 713.902505775515 K, F = -5.288580265938592e-7, relative_change = 8.934232363181448e-12 Iter 140: T = 713.9025057560336 K, F = -2.211755347758526e-7, relative_change = 3.736416054270521e-12 Iter 145: T = 713.9025057478863 K, F = -9.249771848462984e-8, relative_change = 1.5626048364634863e-12 Iter 150: T = 713.9025057444788 K, F = -3.868314113475435e-8, relative_change = 6.53491398689846e-13 Iter 155: T = 713.9025057430539 K, F = -1.6177106987314005e-8, relative_change = 2.7328701759686376e-13 Converged in 157 iterations to T = 713.9025057427523 K Iter 1: T = 969.3750218264321 K, F = -6977.930408722404, relative_change = 0.030624978173567897 Iter 2: T = 940.8923656004301 K, F = -5911.70321811538, relative_change = 0.029382494478078124 Iter 3: T = 914.5126807624085 K, F = -5006.702457941227, relative_change = 0.028036878395954878 Iter 5: T = 867.8748942704501 K, F = -3587.0735664564168, relative_change = 0.025068840845448092 Iter 10: T = 783.914490448769 K, F = -1546.742783015798, relative_change = 0.016796521510717647 Iter 15: T = 737.2045313966913 K, F = -659.4866404268797, relative_change = 0.009433517105251903 Iter 20: T = 714.1697666791067 K, F = -278.67488462209946, relative_change = 0.004614580785820926 Iter 25: T = 703.7057015073855 K, F = -117.11996288569506, relative_change = 0.002078369078018414 Iter 30: T = 699.1606374277355 K, F = -49.08805502497764, relative_change = 0.0008982039904301491 Iter 35: T = 697.228215615312 K, F = -20.548468031778313, relative_change = 0.0003809647792864401 Iter 40: T = 696.4143567132801 K, F = -8.59702305409481, relative_change = 0.00016027489441512 Iter 45: T = 696.0729821554752 K, F = -3.595976825189823, relative_change = 6.719664471462064e-5 Iter 50: T = 695.9300378167371 K, F = -1.5039854595095843, relative_change = 2.8131890381966624e-5 Iter 55: T = 695.8702256867734 K, F = -0.6290030623439049, relative_change = 1.177025147680447e-5 Iter 60: T = 695.8452060951541 K, F = -0.2630598086963981, relative_change = 4.923362621465497e-6 Iter 65: T = 695.834741650512 K, F = -0.1100153161696586, relative_change = 2.059167003950478e-6 Iter 70: T = 695.8303651281483 K, F = -0.046009817475973325, relative_change = 8.611958627600558e-7 Iter 75: T = 695.8285347850814 K, F = -0.019241872347366407, relative_change = 3.6016722734204543e-7 Iter 80: T = 695.827769308654 K, F = -0.008047183820167225, relative_change = 1.506270810142021e-7 Iter 85: T = 695.8274491763787 K, F = -0.003365428902898482, relative_change = 6.299419197231969e-8 Iter 90: T = 695.827315293082 K, F = -0.0014074626511718646, relative_change = 2.6344949253504033e-8 Iter 95: T = 695.8272593014613 K, F = -0.000588617705852168, relative_change = 1.1017776932471861e-8 Iter 100: T = 695.8272358850919 K, F = -0.0002461669570558156, relative_change = 4.607766685542862e-9 Iter 105: T = 695.8272260920859 K, F = -0.00010294996256410283, relative_change = 1.9270232091280816e-9 Iter 110: T = 695.8272219965336 K, F = -4.305490245370969e-5, relative_change = 8.059041164625261e-10 Iter 115: T = 695.8272202837247 K, F = -1.8006074971821384e-5, relative_change = 3.3703874086792854e-10 Iter 120: T = 695.8272195674076 K, F = -7.530355586538029e-6, relative_change = 1.409536271278468e-10 Iter 125: T = 695.8272192678352 K, F = -3.1492848578951183e-6, relative_change = 5.894849444860096e-11 Iter 130: T = 695.8272191425505 K, F = -1.3170689256991608e-6, relative_change = 2.465297165066522e-11 Iter 135: T = 695.8272190901548 K, F = -5.508135093590383e-7, relative_change = 1.0310158846615874e-11 Iter 140: T = 695.8272190682424 K, F = -2.3035697571671676e-7, relative_change = 4.311835078600741e-12 Iter 145: T = 695.8272190590784 K, F = -9.633913533590999e-8, relative_change = 1.803281458775215e-12 Iter 150: T = 695.8272190552458 K, F = -4.028942912626121e-8, relative_change = 7.541398443800343e-13 Iter 155: T = 695.827219053643 K, F = -1.6849628581283582e-8, relative_change = 3.153923138614876e-13 Converged in 158 iterations to T = 695.8272190531737 K Iter 1: T = 963.5905651817143 K, F = -8295.924357660138, relative_change = 0.036409434818285694 Iter 2: T = 929.0606908851669 K, F = -7039.315096789954, relative_change = 0.035834591520762515 Iter 3: T = 896.3769541969816 K, F = -5972.1232239361, relative_change = 0.03517933436301737 Iter 5: T = 836.4293517458441 K, F = -4296.20308669737, relative_change = 0.03359843580674534 Iter 10: T = 716.9292609423355 K, F = -1877.306333514336, relative_change = 0.02785118086694654 Iter 15: T = 637.4999073608368 K, F = -812.8368126881245, relative_change = 0.019923625421934175 Iter 20: T = 591.0312355121425 K, F = -347.99128475573985, relative_change = 0.011926193197312305 Iter 25: T = 567.1494740731914 K, F = -147.4811524840309, relative_change = 0.006102577672898202 Iter 30: T = 556.0179148475128 K, F = -62.08448903402993, relative_change = 0.002817850929722141 Iter 35: T = 551.1186122449996 K, F = -26.041786971019334, relative_change = 0.0012323567389823564 Iter 40: T = 549.0228711567387 K, F = -10.90503077736187, relative_change = 0.0005254585901285106 Iter 45: T = 548.1378836984411 K, F = -4.563110954478002, relative_change = 0.0002215656771845849 Iter 50: T = 547.7662544955253 K, F = -1.9087872306135356, relative_change = 9.298229390306782e-5 Iter 55: T = 547.610567468952 K, F = -0.7983547496603206, relative_change = 3.8942714062978594e-5 Iter 60: T = 547.5454104077147 K, F = -0.3338949979318847, relative_change = 1.6296194996913583e-5 Iter 65: T = 547.5181527353216 K, F = -0.13964123930251687, relative_change = 6.816994136898243e-6 Iter 70: T = 547.5067518142713 K, F = -0.058400047423274815, relative_change = 2.851251186603668e-6 Iter 75: T = 547.5019835615557 K, F = -0.024423669596199515, relative_change = 1.1924802701298373e-6 Iter 80: T = 547.499989377355 K, F = -0.010214282952514864, relative_change = 4.987187556908168e-7 Iter 85: T = 547.4991553780161 K, F = -0.004271737325995423, relative_change = 2.0857176012824523e-7 Iter 90: T = 547.4988065881877 K, F = -0.0017864919518356948, relative_change = 8.722748440010458e-8 Iter 95: T = 547.4986607198807 K, F = -0.0007471323375285444, relative_change = 3.64796252864131e-8 Iter 100: T = 547.4985997159715 K, F = -0.00031245967747589587, relative_change = 1.5256223597071866e-8 Iter 105: T = 547.4985742034011 K, F = -0.0001306743711028402, relative_change = 6.380336439994352e-9 Iter 110: T = 547.4985635337381 K, F = -5.464958341364068e-5, relative_change = 2.668333184942865e-9 Iter 115: T = 547.4985590715575 K, F = -2.285510883487385e-5, relative_change = 1.115928867276037e-9 Iter 120: T = 547.4985572054202 K, F = -9.558279758486998e-6, relative_change = 4.666948013306558e-10 Iter 125: T = 547.4985564249793 K, F = -3.997386762433219e-6, relative_change = 1.9517734160685276e-10 Iter 130: T = 547.4985560985895 K, F = -1.6717547690059398e-6, relative_change = 8.162548983891882e-11 Iter 135: T = 547.4985559620894 K, F = -6.991479130913358e-7, relative_change = 3.413675976986131e-11 Iter 140: T = 547.4985559050034 K, F = -2.9239173660045026e-7, relative_change = 1.4276387426866153e-11 Iter 145: T = 547.4985558811295 K, F = -1.2228216611509524e-7, relative_change = 5.970577689763728e-12 Iter 150: T = 547.4985558711451 K, F = -5.1140209067490616e-8, relative_change = 2.4969838287566043e-12 Iter 155: T = 547.4985558669695 K, F = -2.138763524617282e-8, relative_change = 1.0442776891369076e-12 Iter 160: T = 547.4985558652231 K, F = -8.944337298588678e-9, relative_change = 4.367183083901001e-13 Converged in 164 iterations to T = 547.4985558645927 K Iter 1: T = 966.8825162820968 K, F = -7545.850167984056, relative_change = 0.033117483717903136 Iter 2: T = 935.8219380136192 K, F = -6397.168714073136, relative_change = 0.032124459534042804 Iter 3: T = 906.7878947120345 K, F = -5421.888434212188, relative_change = 0.031025179173735182 Iter 5: T = 854.6687500847477 K, F = -3891.1188260506806, relative_change = 0.028507858798859368 Iter 10: T = 757.0315466988892 K, F = -1686.4698369657644, relative_change = 0.02072243356676384 Iter 15: T = 699.1725012933728 K, F = -722.7888432568675, relative_change = 0.012615121434025685 Iter 20: T = 669.0983069603943 K, F = -306.5773622570552, relative_change = 0.006537958635765059 Iter 25: T = 654.9753608081064 K, F = -129.12134427294393, relative_change = 0.003041276374023209 Iter 30: T = 648.7347300703761 K, F = -54.17387864749166, relative_change = 0.0013348923568343165 Iter 35: T = 646.0602427269913 K, F = -22.68783143787568, relative_change = 0.000570104016378157 Iter 40: T = 644.9299372114506 K, F = -9.493959879489507, relative_change = 0.00024055947177700635 Iter 45: T = 644.4551263461092 K, F = -3.971480899535284, relative_change = 0.00010098321482693855 Iter 50: T = 644.2561839100787 K, F = -1.661095055063159, relative_change = 4.229892990166383e-5 Iter 55: T = 644.1729187261284 K, F = -0.6947203176165768, relative_change = 1.770158310974684e-5 Iter 60: T = 644.1380848330535 K, F = -0.2905456758240922, relative_change = 7.405055737266962e-6 Iter 65: T = 644.1235148881433 K, F = -0.12151060604590747, relative_change = 3.0972400856526836e-6 Iter 70: T = 644.1174212141985 K, F = -0.05081735005549343, relative_change = 1.2953653024660626e-6 Iter 75: T = 644.114872705938 K, F = -0.0212524512685065, relative_change = 5.417481731506853e-7 Iter 80: T = 644.113806878671 K, F = -0.00888803392648957, relative_change = 2.2656746817909918e-7 Iter 85: T = 644.113361135112 K, F = -0.0037170828069902906, relative_change = 9.47535554318892e-8 Iter 90: T = 644.1131747195058 K, F = -0.0015545285750137028, relative_change = 3.9627127000719983e-8 Iter 95: T = 644.1130967582158 K, F = -0.0006501224415023099, relative_change = 1.6572547983580515e-8 Iter 100: T = 644.1130641538632 K, F = -0.0002718889732931662, relative_change = 6.930839260995425e-9 Iter 105: T = 644.1130505183319 K, F = -0.00011370721620157509, relative_change = 2.8985600563081695e-9 Iter 110: T = 644.1130448157895 K, F = -4.7553715468384716e-5, relative_change = 1.2122124751634991e-9 Iter 115: T = 644.1130424309182 K, F = -1.988753178777669e-5, relative_change = 5.069617446475928e-10 Iter 120: T = 644.1130414335365 K, F = -8.317203736007972e-6, relative_change = 2.1201746866711185e-10 Iter 125: T = 644.1130410164196 K, F = -3.4783545981853514e-6, relative_change = 8.866825470618743e-11 Iter 130: T = 644.1130408419764 K, F = -1.4546896111022889e-6, relative_change = 3.7082127621280523e-11 Iter 135: T = 644.1130407690221 K, F = -6.083694359948488e-7, relative_change = 1.5508210759488507e-11 Iter 140: T = 644.1130407385117 K, F = -2.5442709228329363e-7, relative_change = 6.485712032016671e-12 Iter 145: T = 644.1130407257518 K, F = -1.0640405062600777e-7, relative_change = 2.712392085576696e-12 Iter 150: T = 644.1130407204156 K, F = -4.449983992405038e-8, relative_change = 1.1343648377487865e-12 Iter 155: T = 644.1130407181838 K, F = -1.86095708287759e-8, relative_change = 4.743846905997078e-13 Converged in 160 iterations to T = 644.1130407172506 K Iter 1: T = 965.2048619318546 K, F = -7928.105307548034, relative_change = 0.0347951380681454 Iter 2: T = 932.3855077274656 K, F = -6724.283390338545, relative_change = 0.034002475017273666 Iter 3: T = 901.512499678517 K, F = -5702.031276716432, relative_change = 0.03311184890056519 Iter 5: T = 845.4923997033015 K, F = -4097.042997998152, relative_change = 0.031018206603692696 Iter 10: T = 737.3391907606645 K, F = -1782.7208987610163, relative_change = 0.024014652354278434 Iter 15: T = 669.7692785750412 K, F = -767.5427956979463, relative_change = 0.015709239172479413 Iter 20: T = 632.8331613471356 K, F = -326.8061393451686, relative_change = 0.008635865195971145 Iter 25: T = 614.8602083265636 K, F = -137.96906734363137, relative_change = 0.004165371205530646 Iter 30: T = 606.7594355015985 K, F = -57.956443837937364, relative_change = 0.0018621768343716994 Iter 35: T = 603.2545257875726 K, F = -24.285491347894535, relative_change = 0.0008019950423035294 Iter 40: T = 601.7669625714556 K, F = -10.164983828856741, relative_change = 0.0003396433332312713 Iter 45: T = 601.1409364827833 K, F = -4.2526203515208705, relative_change = 0.0001427982119709796 Iter 50: T = 600.878433417488 K, F = -1.778760621382692, relative_change = 5.985305646530193e-5 Iter 55: T = 600.7685299873003 K, F = -0.7439451957555228, relative_change = 2.5054625434119487e-5 Iter 60: T = 600.7225457652951 K, F = -0.311134862854081, relative_change = 1.0482235287400978e-5 Iter 65: T = 600.7033108868794 K, F = -0.13012173207013458, relative_change = 4.384512037132169e-6 Iter 70: T = 600.6952659788253 K, F = -0.05441871013826438, relative_change = 1.833780564764738e-6 Iter 75: T = 600.6919013881162 K, F = -0.022758597816453008, relative_change = 7.669308438661825e-7 Iter 80: T = 600.6904942561456 K, F = -0.009517924980856296, relative_change = 3.2074347049176614e-7 Iter 85: T = 600.6899057732606 K, F = -0.0039805112195916426, relative_change = 1.341394201318928e-7 Iter 90: T = 600.6896596620799 K, F = -0.0016646975614652004, relative_change = 5.6098824711022685e-8 Iter 95: T = 600.6895567353381 K, F = -0.0006961964408774279, relative_change = 2.3461218942169492e-8 Iter 100: T = 600.6895136901268 K, F = -0.0002911576731000065, relative_change = 9.811765537280986e-9 Iter 105: T = 600.689495688102 K, F = -0.00012176561685373066, relative_change = 4.1033981375658805e-9 Iter 110: T = 600.6894881594399 K, F = -5.0923835237026704e-5, relative_change = 1.716090211156779e-9 Iter 115: T = 600.6894850108632 K, F = -2.1296955153016217e-5, relative_change = 7.176894082597405e-10 Iter 120: T = 600.689483694091 K, F = -8.906641570494145e-6, relative_change = 3.0014630444090865e-10 Iter 125: T = 600.689483143401 K, F = -3.7248644512155593e-6, relative_change = 1.255247890696629e-10 Iter 130: T = 600.6894829130958 K, F = -1.5577820136059017e-6, relative_change = 5.249593954150829e-11 Iter 135: T = 600.6894828167796 K, F = -6.514831488724226e-7, relative_change = 2.195443247059998e-11 Iter 140: T = 600.689482776499 K, F = -2.7245828210231693e-7, relative_change = 9.181614240880459e-12 Iter 145: T = 600.6894827596531 K, F = -1.1394545645915244e-7, relative_change = 3.839865750367541e-12 Iter 150: T = 600.6894827526079 K, F = -4.7652848278456617e-8, relative_change = 1.6058607838191362e-12 Iter 155: T = 600.6894827496616 K, F = -1.9929459360579216e-8, relative_change = 6.71605966627757e-13 Iter 160: T = 600.6894827484293 K, F = -8.334255285902259e-9, relative_change = 2.808573718029284e-13 Converged in 162 iterations to T = 600.6894827481685 K Iter 1: T = 980.0114973004631 K, F = -4554.399354064201, relative_change = 0.01998850269953683 Iter 2: T = 962.0723236795337 K, F = -3847.2512977879055, relative_change = 0.01830506445112599 Iter 3: T = 946.0625102465227 K, F = -3248.3852133359965, relative_change = 0.016640966628974442 Iter 5: T = 919.3106609826222 K, F = -2312.6182558777496, relative_change = 0.013460125850071005 Iter 10: T = 876.7853240190092 K, F = -981.9273731282015, relative_change = 0.007087216502002361 Iter 15: T = 856.627139087179 K, F = -413.8144486296201, relative_change = 0.0033278743042086385 Iter 20: T = 847.6742930670869 K, F = -173.67274458228613, relative_change = 0.001467510045521839 Iter 25: T = 843.8282178391546 K, F = -72.74372541883395, relative_change = 0.0006280633484614424 Iter 30: T = 842.201040830486 K, F = -30.442217524302823, relative_change = 0.00026525728196217504 Iter 35: T = 841.5171963322509 K, F = -12.73481241990001, relative_change = 0.00011139400610177349 Iter 40: T = 841.2306151412613 K, F = -5.326467299015876, relative_change = 4.666729184753292e-5 Iter 45: T = 841.1106600225683 K, F = -2.227700247748091, relative_change = 1.9531019878647166e-5 Iter 50: T = 841.0604752392419 K, F = -0.9316697507791049, relative_change = 8.170592205701413e-6 Iter 55: T = 841.0394841922434 K, F = -0.3896387231676294, relative_change = 3.4174743135806565e-6 Iter 60: T = 841.0307049308935 K, F = -0.16295214571553918, relative_change = 1.42930468046864e-6 Iter 65: T = 841.0270332419034 K, F = -0.06814863455847919, relative_change = 5.977655994330139e-7 Iter 70: T = 841.0254976807443 K, F = -0.028500590527893666, relative_change = 2.4999504093132696e-7 Iter 75: T = 841.0248554877602 K, F = -0.011919290419554196, relative_change = 1.0455131892034691e-7 Iter 80: T = 841.0245869144658 K, F = -0.004984790141925988, relative_change = 4.3724681416106124e-8 Iter 85: T = 841.0244745938157 K, F = -0.002084698862035994, relative_change = 1.828619640109081e-8 Iter 90: T = 841.0244276199626 K, F = -0.0008718459760808095, relative_change = 7.647507887185351e-9 Iter 95: T = 841.0244079749334 K, F = -0.00036461640104179516, relative_change = 3.1982795004871532e-9 Iter 100: T = 841.0243997591472 K, F = -0.00015248693434521954, relative_change = 1.337558753524946e-9 Iter 105: T = 841.0243963232073 K, F = -6.377185875727776e-5, relative_change = 5.593830706535524e-10 Iter 110: T = 841.024394886256 K, F = -2.6670152978747197e-5, relative_change = 2.3394068293037076e-10 Iter 115: T = 841.0243942853059 K, F = -1.1153777065731063e-5, relative_change = 9.783679287354988e-11 Iter 120: T = 841.0243940339815 K, F = -4.664644667196072e-6, relative_change = 4.091653187014809e-11 Iter 125: T = 841.0243939288746 K, F = -1.9508122801603633e-6, relative_change = 1.711180134313095e-11 Iter 130: T = 841.0243938849175 K, F = -8.158527011747907e-7, relative_change = 7.156357120166562e-12 Iter 135: T = 841.0243938665342 K, F = -3.411989479840116e-7, relative_change = 2.9928705482458394e-12 Iter 140: T = 841.024393858846 K, F = -1.4269558490376255e-7, relative_change = 1.251672714599884e-12 Iter 145: T = 841.0243938556308 K, F = -5.967751515179032e-8, relative_change = 5.234690158238188e-13 Converged in 150 iterations to T = 841.0243938542861 K Iter 1: T = 976.4297828659697 K, F = -5370.496395053534, relative_change = 0.023570217134030257 Iter 2: T = 955.0213700647129 K, F = -4541.118338376059, relative_change = 0.02192519439382518 Iter 3: T = 935.6831832939673 K, F = -3838.084284113104, relative_change = 0.0202489571196037 Iter 5: T = 902.7967416580168 K, F = -2737.8738461568446, relative_change = 0.01689601337050456 Iter 10: T = 848.6320019523591 K, F = -1167.500300345382, relative_change = 0.009508268862979454 Iter 15: T = 821.8874283281369 K, F = -493.38587822434994, relative_change = 0.00465734440545049 Iter 20: T = 809.7290026692008 K, F = -207.36728286606493, relative_change = 0.0020991216133284768 Iter 25: T = 804.4460170368353 K, F = -86.91500485120415, relative_change = 0.0009074750476131401 Iter 30: T = 802.1994720234395 K, F = -36.38334500182763, relative_change = 0.00038495344721183007 Iter 35: T = 801.2532473010577 K, F = -15.222047791035012, relative_change = 0.00016196310530223112 Iter 40: T = 800.8563392550399 K, F = -6.367114207687271, relative_change = 6.790623727188425e-5 Iter 45: T = 800.6901390986516 K, F = -2.6629910993769346, relative_change = 2.8429277028171993e-5 Iter 50: T = 800.6205956644337 K, F = -1.113727573332601, relative_change = 1.1894731965250217e-5 Iter 55: T = 800.5915053721204 K, F = -0.4657799269316806, relative_change = 4.975441078400169e-6 Iter 60: T = 800.5793383450766 K, F = -0.1947957347182523, relative_change = 2.080950201305454e-6 Iter 65: T = 800.5742497532484 K, F = -0.08146607867942113, relative_change = 8.70306444626274e-7 Iter 70: T = 800.5721216091252 K, F = -0.0340701178040399, relative_change = 3.6397748444912745e-7 Iter 75: T = 800.5712315878471 K, F = -0.014248535531224626, relative_change = 1.522205940446703e-7 Iter 80: T = 800.5708593692718 K, F = -0.005958908662162865, relative_change = 6.3660621290372e-8 Iter 85: T = 800.5707037028352 K, F = -0.002492086929691828, relative_change = 2.6623658479143987e-8 Iter 90: T = 800.5706386012404 K, F = -0.0010422205461484424, relative_change = 1.113433656482173e-8 Iter 95: T = 800.5706113749703 K, F = -0.000435869082754059, relative_change = 4.656513316065408e-9 Iter 100: T = 800.570599988618 K, F = -0.00018228565564915034, relative_change = 1.9474096097275624e-9 Iter 105: T = 800.5705952267094 K, F = -7.623403918810556e-5, relative_change = 8.144299900012807e-10 Iter 110: T = 800.5705932352222 K, F = -3.188198506653972e-5, relative_change = 3.4060434633971274e-10 Iter 115: T = 800.5705924023587 K, F = -1.3333428406370196e-5, relative_change = 1.424448220471822e-10 Iter 120: T = 800.570592054045 K, F = -5.576199838874807e-6, relative_change = 5.957213487672711e-11 Iter 125: T = 800.5705919083762 K, F = -2.3320331287157714e-6, relative_change = 2.4913775728174114e-11 Iter 130: T = 800.5705918474556 K, F = -9.752815632868561e-7, relative_change = 1.0419211395052495e-11 Iter 135: T = 800.5705918219779 K, F = -4.078744068047868e-7, relative_change = 4.3574387415387725e-12 Iter 140: T = 800.5705918113229 K, F = -1.7057668855180452e-7, relative_change = 1.822319465859176e-12 Iter 145: T = 800.5705918068668 K, F = -7.133642343504221e-8, relative_change = 7.621073791358931e-13 Iter 150: T = 800.5705918050032 K, F = -2.983210323215246e-8, relative_change = 3.1870487632901134e-13 Converged in 153 iterations to T = 800.5705918044576 K Iter 1: T = 980.8274990871091 K, F = -4368.472570758825, relative_change = 0.019172500912890845 Iter 2: T = 963.6674458443764 K, F = -3689.3595763033086, relative_change = 0.01749548545356261 Iter 3: T = 948.3942103884359 K, F = -3114.371292244514, relative_change = 0.015849072749944227 Iter 5: T = 922.9705683106515 K, F = -2216.2491219236026, relative_change = 0.01273331569641792 Iter 10: T = 882.8537337774196 K, F = -940.1774255700926, relative_change = 0.006613837843369963 Iter 15: T = 863.9901172156158 K, F = -396.00890382305175, relative_change = 0.003080570774056764 Iter 20: T = 855.6488365409272 K, F = -166.15572277192672, relative_change = 0.0013530059507349103 Iter 25: T = 852.0729122008236 K, F = -69.58677413009855, relative_change = 0.0005780066974221642 Iter 30: T = 850.5614164883149 K, F = -29.1195539464263, relative_change = 0.0002439244590801124 Iter 35: T = 849.9264383032579 K, F = -12.181235378895202, relative_change = 0.00010240119524786644 Iter 40: T = 849.6603798726699 K, F = -5.09488031640442, relative_change = 4.289383380478909e-5 Iter 45: T = 849.5490227907737 K, F = -2.130834753725492, relative_change = 1.7950710318564417e-5 Iter 50: T = 849.502436468982 K, F = -0.8911571593080027, relative_change = 7.509301739401389e-6 Iter 55: T = 849.4829508072277 K, F = -0.37269547377188206, relative_change = 3.1408471641040305e-6 Iter 60: T = 849.4748011974411 K, F = -0.15586620653107963, relative_change = 1.3136040801002563e-6 Iter 65: T = 849.471392850507 K, F = -0.06518519793381317, relative_change = 5.493761585454788e-7 Iter 70: T = 849.4699674246336 K, F = -0.027261243801443902, relative_change = 2.2975763714458253e-7 Iter 75: T = 849.4693712919774 K, F = -0.011400980443348585, relative_change = 9.608773170482842e-8 Iter 80: T = 849.4691219817382 K, F = -0.004768026650457946, relative_change = 4.018509706616058e-8 Iter 85: T = 849.4690177171415 K, F = -0.0019940457701084213, relative_change = 1.6805898022316614e-8 Iter 90: T = 849.4689741124283 K, F = -0.0008339337695701943, relative_change = 7.028429098373155e-9 Iter 95: T = 849.4689558764143 K, F = -0.0003487610653374329, relative_change = 2.9393733171532057e-9 Iter 100: T = 849.4689482498949 K, F = -0.0001458560421621069, relative_change = 1.2292810735303185e-9 Iter 105: T = 849.4689450603934 K, F = -6.099873693288238e-5, relative_change = 5.141000197854633e-10 Iter 110: T = 849.4689437265058 K, F = -2.5510401438166852e-5, relative_change = 2.1500277942772231e-10 Iter 115: T = 849.468943168658 K, F = -1.0668753286147137e-5, relative_change = 8.991671974595597e-11 Iter 120: T = 849.4689429353596 K, F = -4.4618022625453335e-6, relative_change = 3.7604264844019196e-11 Iter 125: T = 849.4689428377911 K, F = -1.8659773060036855e-6, relative_change = 1.5726538451804056e-11 Iter 130: T = 849.468942796987 K, F = -7.803761601365977e-7, relative_change = 6.5770444541740945e-12 Iter 135: T = 849.4689427799221 K, F = -3.2636036761957143e-7, relative_change = 2.7505794715001397e-12 Iter 140: T = 849.4689427727856 K, F = -1.3648966334933732e-7, relative_change = 1.1503408604236289e-12 Iter 145: T = 849.4689427698008 K, F = -5.708296013651193e-8, relative_change = 4.810976880497974e-13 Converged in 150 iterations to T = 849.4689427685526 K Iter 1: T = 967.3776111247209 K, F = -7433.042337135387, relative_change = 0.03262238887527908 Iter 2: T = 936.8324192966768 K, F = -6300.688400900891, relative_change = 0.03157525197686853 Iter 3: T = 908.3329248467633 K, F = -5339.321492655104, relative_change = 0.030421123205054593 Iter 5: T = 857.3315929978979 K, F = -3830.5475619178255, relative_change = 0.027798159005724715 Iter 10: T = 762.5823103343323 K, F = -1658.4220358117636, relative_change = 0.019860753945323054 Iter 15: T = 707.2059588244406 K, F = -709.9440815452233, relative_change = 0.011873145310037017 Iter 20: T = 678.7707653048152 K, F = -300.86040079590435, relative_change = 0.006069562222887323 Iter 25: T = 665.5242366531805 K, F = -126.64726015342826, relative_change = 0.00280105372580369 Iter 30: T = 659.6958053680053 K, F = -53.12215887324024, relative_change = 0.001224680232268143 Iter 35: T = 657.2029620582302 K, F = -22.244791941781912, relative_change = 0.0005221223772773806 Iter 40: T = 656.1503505925358 K, F = -9.308098700551003, relative_change = 0.0002201474728131651 Iter 45: T = 655.7083431809888 K, F = -3.8936493300532424, relative_change = 9.238509501745674e-5 Iter 50: T = 655.5231745609168 K, F = -1.6285269888752407, relative_change = 3.8692237760744816e-5 Iter 55: T = 655.4456794223128 K, F = -0.6810968124039389, relative_change = 1.61913163814235e-5 Iter 60: T = 655.4132603261123 K, F = -0.28484761160217886, relative_change = 6.773110504329256e-6 Iter 65: T = 655.39970057481 K, F = -0.11912751101786806, relative_change = 2.8328946523815147e-6 Iter 70: T = 655.3940294278115 K, F = -0.04982069437079045, relative_change = 1.184802670413178e-6 Iter 75: T = 655.391657634447 K, F = -0.02083563500495328, relative_change = 4.955077732432693e-7 Iter 80: T = 655.3906657130484 K, F = -0.008713715870337924, relative_change = 2.0722886818302636e-7 Iter 85: T = 655.390250878084 K, F = -0.003644180823303922, relative_change = 8.666586729126038e-8 Iter 90: T = 655.3900773888697 K, F = -0.0015240400769321871, relative_change = 3.624474962184631e-8 Iter 95: T = 655.3900048335598 K, F = -0.0006373717848232041, relative_change = 1.5157995700198397e-8 Iter 100: T = 655.3899744900543 K, F = -0.0002665564967575529, relative_change = 6.339256331317533e-9 Iter 105: T = 655.3899618000364 K, F = -0.0001114771112108448, relative_change = 2.6511529705057296e-9 Iter 110: T = 655.3899564929192 K, F = -4.6621059511198215e-5, relative_change = 1.108743883240967e-9 Iter 115: T = 655.3899542734192 K, F = -1.9497484222197325e-5, relative_change = 4.636899492450916e-10 Iter 120: T = 655.3899533451978 K, F = -8.154080414268794e-6, relative_change = 1.9392066770456646e-10 Iter 125: T = 655.3899529570045 K, F = -3.4101337964553835e-6, relative_change = 8.109993905360489e-11 Iter 130: T = 655.3899527946575 K, F = -1.426158165063196e-6, relative_change = 3.391695086100583e-11 Iter 135: T = 655.389952726762 K, F = -5.96436404098899e-7, relative_change = 1.4184474566058049e-11 Iter 140: T = 655.3899526983673 K, F = -2.494368243621814e-7, relative_change = 5.932116596871549e-12 Iter 145: T = 655.3899526864924 K, F = -1.0431794172927056e-7, relative_change = 2.480893489240924e-12 Iter 150: T = 655.3899526815261 K, F = -4.362678335256831e-8, relative_change = 1.0375339178058832e-12 Iter 155: T = 655.3899526794492 K, F = -1.8246329058779764e-8, relative_change = 4.3393493215452096e-13 Converged in 159 iterations to T = 655.3899526786995 K Iter 1: T = 973.3620523876822 K, F = -6069.481702696402, relative_change = 0.026637947612317844 Iter 2: T = 948.9172638130723 K, F = -5136.477676891203, relative_change = 0.02511376780576787 Iter 3: T = 926.5994259905717 K, F = -4345.0809743131, relative_change = 0.02351926629811736 Iter 5: T = 888.027657303342 K, F = -3105.1714009675184, relative_change = 0.020196059434817528 Iter 10: T = 822.2312302622528 K, F = -1329.873687292736, relative_change = 0.012158924515912365 Iter 15: T = 788.2860390501853 K, F = -563.7680601320571, relative_change = 0.006248524091419358 Iter 20: T = 772.4239699330673 K, F = -237.36573732029234, relative_change = 0.0028924013116671007 Iter 25: T = 765.4333449973415 K, F = -99.57276250502264, relative_change = 0.0012664913478436038 Iter 30: T = 762.4411525420683 K, F = -41.697722824759225, relative_change = 0.0005403058621845938 Iter 35: T = 761.1772670908678 K, F = -17.448304503095727, relative_change = 0.00022787941642531654 Iter 40: T = 760.6464668160379 K, F = -7.298818912580582, relative_change = 9.564137914419572e-5 Iter 45: T = 760.4240871229446 K, F = -3.0527566497495475, relative_change = 4.0058054386883995e-5 Iter 50: T = 760.3310163817013 K, F = -1.2767524224684328, relative_change = 1.676321902338254e-5 Iter 55: T = 760.2920810199142 K, F = -0.533962408702898, relative_change = 7.012409933932868e-6 Iter 60: T = 760.2757956750488 K, F = -0.22331108272611222, relative_change = 2.932994041771707e-6 Iter 65: T = 760.2689845799355 K, F = -0.09339164618894535, relative_change = 1.2266691935110103e-6 Iter 70: T = 760.2661360340027 K, F = -0.0390575515211814, relative_change = 5.130175114066081e-7 Iter 75: T = 760.2649447267734 K, F = -0.016334343192280665, relative_change = 2.1455176495447737e-7 Iter 80: T = 760.2644465058862 K, F = -0.0068312189160529835, relative_change = 8.972841031998741e-8 Iter 85: T = 760.2642381436156 K, F = -0.0028568975973374267, relative_change = 3.75255452220376e-8 Iter 90: T = 760.2641510039651 K, F = -0.001194788739811603, relative_change = 1.5693640330572663e-8 Iter 95: T = 760.2641145611121 K, F = -0.0004996749279723156, relative_change = 6.563269413403478e-9 Iter 100: T = 760.264099320274 K, F = -0.0002089700245132553, relative_change = 2.7448379422986697e-9 Iter 105: T = 760.264092946373 K, F = -8.739375937871774e-5, relative_change = 1.1479240469867462e-9 Iter 110: T = 760.2640902807316 K, F = -3.654911501704827e-5, relative_change = 4.800755685853671e-10 Iter 115: T = 760.2640891659283 K, F = -1.5285275267173937e-5, relative_change = 2.0077332276528722e-10 Iter 120: T = 760.2640886997044 K, F = -6.3924850616237094e-6, relative_change = 8.396580682150069e-11 Iter 125: T = 760.2640885047239 K, F = -2.673412686671206e-6, relative_change = 3.511549128599263e-11 Iter 130: T = 760.2640884231807 K, F = -1.118053298831967e-6, relative_change = 1.468572027364184e-11 Iter 135: T = 760.2640883890784 K, F = -4.6758227878473946e-7, relative_change = 6.14173095306366e-12 Iter 140: T = 760.2640883748164 K, F = -1.9554816788058815e-7, relative_change = 2.5685409607819467e-12 Iter 145: T = 760.264088368852 K, F = -8.177981625223651e-8, relative_change = 1.074184484025477e-12 Iter 150: T = 760.2640883663576 K, F = -3.420152683286659e-8, relative_change = 4.4923981415054193e-13 Converged in 155 iterations to T = 760.2640883653143 K Iter 1: T = 969.9580593210256 K, F = -6845.084760967428, relative_change = 0.030041940678974352 Iter 2: T = 942.0724238370832 K, F = -5798.236970965955, relative_change = 0.028749320876268122 Iter 3: T = 916.3005968339021 K, F = -4909.759123173462, relative_change = 0.027356524138783082 Iter 5: T = 870.894109819467 K, F = -3516.268792891722, relative_change = 0.0243105257108972 Iter 10: T = 789.8477226093801 K, F = -1514.556616799179, relative_change = 0.01600956500349071 Iter 15: T = 745.3285165243439 K, F = -645.1167818984802, relative_change = 0.00885294163181668 Iter 20: T = 723.5864163290449 K, F = -272.4197378463779, relative_change = 0.004286406857404564 Iter 25: T = 713.7659960564908 K, F = -114.45004116068002, relative_change = 0.0019201183453133777 Iter 30: T = 709.5126158533449 K, F = -47.96095878574947, relative_change = 0.0008277156099060651 Iter 35: T = 707.706534889961 K, F = -20.075176855650934, relative_change = 0.00035067811431454177 Iter 40: T = 706.9463092460908 K, F = -8.398743259959858, relative_change = 0.0001474631240273935 Iter 45: T = 706.6275066118818 K, F = -3.5129932039224245, relative_change = 6.181283412514646e-5 Iter 50: T = 706.4940271282142 K, F = -1.4692700732330701, relative_change = 2.5875784476258274e-5 Iter 55: T = 706.4381777019399 K, F = -0.6144828086148106, relative_change = 1.0825926629507643e-5 Iter 60: T = 706.4148161289053 K, F = -0.25698693885194474, relative_change = 4.528295619891765e-6 Iter 65: T = 706.4050452219393 K, F = -0.10747551238615416, relative_change = 1.8939209323878247e-6 Iter 70: T = 706.4009587688447 K, F = -0.04494763121775369, relative_change = 7.920837255841799e-7 Iter 75: T = 706.399249740326 K, F = -0.018797651622120215, relative_change = 3.312629616629105e-7 Iter 80: T = 706.3985349998113 K, F = -0.007861405101722063, relative_change = 1.385388416855995e-7 Iter 85: T = 706.3982360860267 K, F = -0.0032877339709693754, relative_change = 5.7938723149169994e-8 Iter 90: T = 706.3981110765783 K, F = -0.0013749696921562249, relative_change = 2.4230687810435198e-8 Iter 95: T = 706.3980587961106 K, F = -0.0005750287603564219, relative_change = 1.0133566843982134e-8 Iter 100: T = 706.3980369317906 K, F = -0.0002404838969281009, relative_change = 4.237979335217111e-9 Iter 105: T = 706.3980277878701 K, F = -0.00010057323916268235, relative_change = 1.7723737055172815e-9 Iter 110: T = 706.3980239637732 K, F = -4.2060928924003704e-5, relative_change = 7.41227855407675e-10 Iter 115: T = 706.3980223644902 K, F = -1.7590382822674222e-5, relative_change = 3.0999034518597793e-10 Iter 120: T = 706.398021695651 K, F = -7.356508547440299e-6, relative_change = 1.2964167165965771e-10 Iter 125: T = 706.3980214159344 K, F = -3.076579341509955e-6, relative_change = 5.4217688595992166e-11 Iter 130: T = 706.3980212989536 K, F = -1.2866622349783086e-6, relative_change = 2.2674485100404387e-11 Iter 135: T = 706.3980212500309 K, F = -5.380970313773048e-7, relative_change = 9.48273198114453e-12 Iter 140: T = 706.3980212295708 K, F = -2.2503987195943154e-7, relative_change = 3.9658140943363234e-12 Iter 145: T = 706.3980212210141 K, F = -9.411511325829736e-8, relative_change = 1.658564055433812e-12 Iter 150: T = 706.3980212174356 K, F = -3.9359380310521885e-8, relative_change = 6.936192410415044e-13 Iter 155: T = 706.398021215939 K, F = -1.6460146801122733e-8, relative_change = 2.900725174448326e-13 Converged in 157 iterations to T = 706.3980212156223 K Iter 1: T = 973.5242920658633 K, F = -6032.515237693057, relative_change = 0.02647570793413672 Iter 2: T = 949.241606717627 K, F = -5104.967091056202, relative_change = 0.024943070805873106 Iter 3: T = 927.0844445507357 K, F = -4318.223150163776, relative_change = 0.023341962689044215 Iter 5: T = 888.8241113724578 K, F = -3085.672623117534, relative_change = 0.020012405555779145 Iter 10: T = 823.6880440745764 K, F = -1321.1970040719032, relative_change = 0.012001996054242917 Iter 15: T = 790.1700948557932 K, F = -559.9842519566191, relative_change = 0.006150047430721469 Iter 20: T = 774.5341014675181 K, F = -235.74672569298374, relative_change = 0.002842073643127309 Iter 25: T = 767.6492745364376 K, F = -98.888263097843, relative_change = 0.0012434415365732642 Iter 30: T = 764.7035998513059 K, F = -41.41007216011834, relative_change = 0.0005302788245533243 Iter 35: T = 763.4595920948603 K, F = -17.327756288917072, relative_change = 0.00022361523175608362 Iter 40: T = 762.9371810092921 K, F = -7.248360076867736, relative_change = 9.384544013892918e-5 Iter 45: T = 762.7183232394767 K, F = -3.031646403422915, relative_change = 3.9304749257272106e-5 Iter 50: T = 762.6267277749241 K, F = -1.2679225054269438, relative_change = 1.644778792679836e-5 Iter 55: T = 762.588409806179 K, F = -0.5302693938806289, relative_change = 6.8804245962823644e-6 Iter 60: T = 762.5723827350519 K, F = -0.22176657816823953, relative_change = 2.8777842471943423e-6 Iter 65: T = 762.5656796658019 K, F = -0.09274570865072784, relative_change = 1.2035777074841326e-6 Iter 70: T = 762.5628762997972 K, F = -0.03878741145600717, relative_change = 5.033600105233071e-7 Iter 75: T = 762.5617038877418 K, F = -0.01622136716709377, relative_change = 2.1051281877847376e-7 Iter 80: T = 762.56121356911 K, F = -0.006783970954785445, relative_change = 8.803926361605189e-8 Iter 85: T = 762.5610085116688 K, F = -0.002837137928559441, relative_change = 3.681912193753375e-8 Iter 90: T = 762.5609227541396 K, F = -0.0011865250071249056, relative_change = 1.5398205308025248e-8 Iter 95: T = 762.5608868893065 K, F = -0.0004962189365883551, relative_change = 6.439714905673162e-9 Iter 100: T = 762.5608718902033 K, F = -0.0002075246864484681, relative_change = 2.6931659459820852e-9 Iter 105: T = 762.5608656173988 K, F = -8.678930157723919e-5, relative_change = 1.1263141973035034e-9 Iter 110: T = 762.560862994037 K, F = -3.629632175017328e-5, relative_change = 4.710380475909806e-10 Iter 115: T = 762.5608618969158 K, F = -1.5179554457955824e-5, relative_change = 1.9699372827279927e-10 Iter 120: T = 762.5608614380866 K, F = -6.348270928935307e-6, relative_change = 8.238512964416928e-11 Iter 125: T = 762.5608612461988 K, F = -2.654922355627143e-6, relative_change = 3.445444045695176e-11 Iter 130: T = 762.560861165949 K, F = -1.1103199416551135e-6, relative_change = 1.4409254664644887e-11 Iter 135: T = 762.5608611323876 K, F = -4.6434830125452464e-7, relative_change = 6.026112543110639e-12 Iter 140: T = 762.5608611183519 K, F = -1.9419737107284618e-7, relative_change = 2.5202099600710914e-12 Iter 145: T = 762.5608611124819 K, F = -8.121700978414026e-8, relative_change = 1.05399942265904e-12 Iter 150: T = 762.560861110027 K, F = -3.396541226052818e-8, relative_change = 4.407885122669525e-13 Converged in 154 iterations to T = 762.5608611091409 K Iter 1: T = 964.3274954249948 K, F = -8128.01410072704, relative_change = 0.035672504575005176 Iter 2: T = 930.5806994052568 K, F = -6895.469507804697, relative_change = 0.0349951610628558 Iter 3: T = 898.7286581130236 K, F = -5848.76100292498, relative_change = 0.03422813444614761 Iter 5: T = 840.5958815637508 K, F = -4205.160441305681, relative_change = 0.032399577152175396 Iter 10: T = 726.4402278892583 K, F = -1833.8695137682867, relative_change = 0.026006331801321576 Iter 15: T = 652.795103399874 K, F = -791.8445866626184, relative_change = 0.01780629636965014 Iter 20: T = 611.1521640292026 K, F = -338.0591438303945, relative_change = 0.010204817961925489 Iter 25: T = 590.3507992315864 K, F = -142.9798834158412, relative_change = 0.00506098405161719 Iter 30: T = 580.8277309613252 K, F = -60.12023709292259, relative_change = 0.0022963890555602294 Iter 35: T = 576.6751948650307 K, F = -25.20381638526885, relative_change = 0.0009958987954692584 Iter 40: T = 574.9065174549193 K, F = -10.551505754606803, relative_change = 0.0004230522479915286 Iter 45: T = 574.1610450111262 K, F = -4.414709602908284, relative_change = 0.00017809873410580448 Iter 50: T = 573.8482525180099 K, F = -1.8466261640293191, relative_change = 7.469022036268821e-5 Iter 55: T = 573.7172582741603 K, F = -0.7723410511817494, relative_change = 3.127273033547687e-5 Iter 60: T = 573.662443236257 K, F = -0.3230127444059125, relative_change = 1.308500452743181e-5 Iter 65: T = 573.6395133860422 K, F = -0.13508962328401242, relative_change = 5.473420993301992e-6 Iter 70: T = 573.6299228782927 K, F = -0.056496414930073596, relative_change = 2.2892452442695477e-6 Iter 75: T = 573.6259118436367 K, F = -0.02362753160471376, relative_change = 9.57423848554733e-7 Iter 80: T = 573.6242343513449 K, F = -0.009881325712595312, relative_change = 4.004120603056606e-7 Iter 85: T = 573.6235327988409 K, F = -0.004132490137761846, relative_change = 1.6745815016706584e-7 Iter 90: T = 573.623239400297 K, F = -0.0017282570280595655, relative_change = 7.003318097176883e-8 Iter 95: T = 573.6231166973631 K, F = -0.0007227777807129465, relative_change = 2.9288744583065948e-8 Iter 100: T = 573.6230653815032 K, F = -0.00030227430944201883, relative_change = 1.224890837843018e-8 Iter 105: T = 573.6230439205927 K, F = -0.00012641472778002205, relative_change = 5.122640746172622e-9 Iter 110: T = 573.6230349453829 K, F = -5.2868148953555405e-5, relative_change = 2.1423497003419962e-9 Iter 115: T = 573.6230311918428 K, F = -2.2110091031979362e-5, relative_change = 8.959562479511228e-10 Iter 120: T = 573.6230296220674 K, F = -9.246703928711408e-6, relative_change = 3.7469960000790354e-10 Iter 125: T = 573.6230289655687 K, F = -3.867081822983565e-6, relative_change = 1.5670384077787804e-10 Iter 130: T = 573.623028691013 K, F = -1.6172597805952371e-6, relative_change = 6.553541697155844e-11 Iter 135: T = 573.6230285761907 K, F = -6.763576248514092e-7, relative_change = 2.7407705020932137e-11 Iter 140: T = 573.6230285281706 K, F = -2.8286142289557503e-7, relative_change = 1.1462253338706805e-11 Iter 145: T = 573.6230285080879 K, F = -1.182961800183513e-7, relative_change = 4.793657511573058e-12 Iter 150: T = 573.6230284996892 K, F = -4.9473290908430556e-8, relative_change = 2.004781663830383e-12 Iter 155: T = 573.6230284961767 K, F = -2.0690570312620338e-8, relative_change = 8.384337329594404e-13 Iter 160: T = 573.6230284947078 K, F = -8.653399996561006e-9, relative_change = 3.506574421281609e-13 Converged in 163 iterations to T = 573.6230284942777 K Iter 1: T = 963.5866720767624 K, F = -8296.811405326718, relative_change = 0.03641332792323755 Iter 2: T = 929.0526509369306 K, F = -7040.075160495141, relative_change = 0.03583903985035685 Iter 3: T = 896.3644975631885 K, F = -5972.775219221212, relative_change = 0.03518439276910382 Iter 5: T = 836.4072076433395 K, F = -4296.684620128411, relative_change = 0.033604865608149195 Iter 10: T = 716.8780998581138 K, F = -1877.5370163328619, relative_change = 0.027861384769954013 Iter 15: T = 637.4163004830887 K, F = -812.949275559678, relative_change = 0.0199358428432389 Iter 20: T = 590.9195269169954 K, F = -348.0451255329666, relative_change = 0.011936557967425916 Iter 25: T = 567.0192495977016 K, F = -147.50580267238402, relative_change = 0.00610904652401717 Iter 30: T = 555.8778228649857 K, F = -62.095313438114324, relative_change = 0.0028211465003387627 Iter 35: T = 550.9738898283341 K, F = -26.046419363749834, relative_change = 0.0012338637622438362 Iter 40: T = 548.8761105960282 K, F = -10.90698790411919, relative_change = 0.0005261137145914899 Iter 45: T = 547.9902518256278 K, F = -4.563933019713591, relative_change = 0.0002218441977000516 Iter 50: T = 547.618254826835 K, F = -1.909131660919763, relative_change = 9.309958301395037e-5 Iter 55: T = 547.4624133816446 K, F = -0.7984989058129424, relative_change = 3.899190826009389e-5 Iter 60: T = 547.397191634902 K, F = -0.33395530526534417, relative_change = 1.6316793599114698e-5 Iter 65: T = 547.3699068917167 K, F = -0.13966646396411977, relative_change = 6.825613096933059e-6 Iter 70: T = 547.3584946460925 K, F = -0.0584105972754797, relative_change = 2.854856504873629e-6 Iter 75: T = 547.3537216567368 K, F = -0.02442808177498612, relative_change = 1.1939881913405466e-6 Iter 80: T = 547.3517254915175 K, F = -0.010216128197462954, relative_change = 4.993494098364831e-7 Iter 85: T = 547.3508906636757 K, F = -0.004272509033278249, relative_change = 2.088355113545577e-7 Iter 90: T = 547.3505415273542 K, F = -0.001786814689597821, relative_change = 8.733778903016341e-8 Iter 95: T = 547.3503955141391 K, F = -0.0007472673090934412, relative_change = 3.652575606101119e-8 Iter 100: T = 547.3503344496277 K, F = -0.0003125161248349051, relative_change = 1.52755160902215e-8 Iter 105: T = 547.3503089117124 K, F = -0.00013069797795028926, relative_change = 6.388404789256174e-9 Iter 110: T = 547.3502982314501 K, F = -5.4659455317851435e-5, relative_change = 2.6717074284188356e-9 Iter 115: T = 547.3502937648366 K, F = -2.2859237221090067e-5, relative_change = 1.1173400084058652e-9 Iter 120: T = 547.3502918968454 K, F = -9.560005854919451e-6, relative_change = 4.672849357368848e-10 Iter 125: T = 547.3502911156293 K, F = -3.998108723313187e-6, relative_change = 1.954241471071852e-10 Iter 130: T = 547.3502907889153 K, F = -1.672056821666601e-6, relative_change = 8.172871270662659e-11 Iter 135: T = 547.3502906522796 K, F = -6.992739845779194e-7, relative_change = 3.41799165651224e-11 Iter 140: T = 547.3502905951369 K, F = -2.9244442961706696e-7, relative_change = 1.4294434555931194e-11 Iter 145: T = 547.3502905712392 K, F = -1.2230376139621413e-7, relative_change = 5.978103655026081e-12 Iter 150: T = 547.3502905612448 K, F = -5.114887599577678e-8, relative_change = 2.5001134803763698e-12 Iter 155: T = 547.3502905570651 K, F = -2.1391114629620844e-8, relative_change = 1.0455794581322032e-12 Iter 160: T = 547.3502905553171 K, F = -8.945678003913216e-9, relative_change = 4.372571192315075e-13 Converged in 164 iterations to T = 547.3502905546861 K Iter 1: T = 969.3442295799172 K, F = -6984.946451381829, relative_change = 0.030655770420082874 Iter 2: T = 940.8299797117239 K, F = -5917.696738440923, relative_change = 0.029416020643719527 Iter 3: T = 914.4180563747407 K, F = -5011.824215510305, relative_change = 0.02807300352511729 Iter 5: T = 867.7147216297823 K, F = -3590.8162899583167, relative_change = 0.025109355895247983 Iter 10: T = 783.5976496793476 K, F = -1548.4475801791443, relative_change = 0.01683931180387162 Iter 15: T = 736.7682056920944 K, F = -660.2496902702073, relative_change = 0.009465595033647982 Iter 20: T = 713.662142366037 K, F = -279.00771164988663, relative_change = 0.0046329078152362625 Iter 25: T = 703.1623357101056 K, F = -117.26219430769457, relative_change = 0.002087257118390373 Iter 30: T = 698.6010194143722 K, F = -49.14813234640472, relative_change = 0.0009021734879190075 Iter 35: T = 696.661547179005 K, F = -20.573702325703202, relative_change = 0.0003826723485624049 Iter 40: T = 695.8446932761866 K, F = -8.607595852940458, relative_change = 0.0001609975867113485 Iter 45: T = 695.5020578924097 K, F = -3.6004019399917295, relative_change = 6.750040136253144e-5 Iter 50: T = 695.3585848008803 K, F = -1.5058367000077948, relative_change = 2.8259192026371104e-5 Iter 55: T = 695.2985512838903 K, F = -0.6297773791472601, relative_change = 1.1823537349144845e-5 Iter 60: T = 695.2734390606817 K, F = -0.2633836557685287, relative_change = 4.945655603708544e-6 Iter 65: T = 695.2629358685463 K, F = -0.11015075612451841, relative_change = 2.068491629063096e-6 Iter 70: T = 695.2585431401437 K, F = -0.046066460650189156, relative_change = 8.650957831505707e-7 Iter 75: T = 695.2567060192774 K, F = -0.019265561298594025, relative_change = 3.6179826449444487e-7 Iter 80: T = 695.2559377082514 K, F = -0.00805709084036077, relative_change = 1.5130920791279998e-7 Iter 85: T = 695.2556163905057 K, F = -0.003369572140592192, relative_change = 6.327946693896521e-8 Iter 90: T = 695.2554820114299 K, F = -0.0014091954013489838, relative_change = 2.64642548516756e-8 Iter 95: T = 695.2554258124682 K, F = -0.0005893423627811867, relative_change = 1.1067671999864308e-8 Iter 100: T = 695.2554023093863 K, F = -0.0002464700171639356, relative_change = 4.628633404092611e-9 Iter 105: T = 695.255392480116 K, F = -0.00010307670543063807, relative_change = 1.9357499120754684e-9 Iter 110: T = 695.2553883693977 K, F = -4.31079098632825e-5, relative_change = 8.095537660813351e-10 Iter 115: T = 695.2553866502461 K, F = -1.8028242899981173e-5, relative_change = 3.385650604173982e-10 Iter 120: T = 695.2553859312764 K, F = -7.539626372787822e-6, relative_change = 1.4159195020598359e-10 Iter 125: T = 695.2553856305947 K, F = -3.1531625103164984e-6, relative_change = 5.921545816683771e-11 Iter 130: T = 695.255385504846 K, F = -1.3186910847728939e-6, relative_change = 2.476462807645009e-11 Iter 135: T = 695.2553854522564 K, F = -5.514932579497867e-7, relative_change = 1.0356880077843897e-11 Iter 140: T = 695.2553854302627 K, F = -2.3064000143069308e-7, relative_change = 4.331350931127239e-12 Iter 145: T = 695.2553854210647 K, F = -9.645617526921058e-8, relative_change = 1.8114184096427292e-12 Iter 150: T = 695.255385417218 K, F = -4.0338667850470245e-8, relative_change = 7.57548237453848e-13 Iter 155: T = 695.2553854156093 K, F = -1.6869873498137622e-8, relative_change = 3.168112289205245e-13 Converged in 158 iterations to T = 695.2553854151383 K Iter 1: T = 966.5315354576575 K, F = -7625.821482701537, relative_change = 0.03346846454234256 Iter 2: T = 935.1045869601669 K, F = -6465.580365284303, relative_change = 0.032515181703419264 Iter 3: T = 905.689361521078 K, F = -5480.4507942993505, relative_change = 0.031456615494435514 Iter 5: T = 852.7687262997052 K, F = -3934.113263803089, relative_change = 0.029019368175512403 Iter 10: T = 753.027587114265 K, F = -1706.448290440598, relative_change = 0.021361532998459887 Iter 15: T = 693.3124053780379 K, F = -731.987801665229, relative_change = 0.013182695092827986 Iter 20: T = 661.9837644931556 K, F = -310.6931417395731, relative_change = 0.006904927887296654 Iter 25: T = 647.179287282707 K, F = -130.90870044213992, relative_change = 0.0032321492517943277 Iter 30: T = 640.6153381804997 K, F = -54.93505890518447, relative_change = 0.0014230748402316328 Iter 35: T = 637.7977895387511 K, F = -23.008750836437102, relative_change = 0.0006086155934163857 Iter 40: T = 636.6061818933186 K, F = -9.62863958744104, relative_change = 0.00025696502347778623 Iter 45: T = 636.1054683584957 K, F = -4.027888473062509, relative_change = 0.00010789768004103374 Iter 50: T = 635.8956461029917 K, F = -1.6846999639315556, relative_change = 4.520007372147836e-5 Iter 55: T = 635.8078225815352 K, F = -0.7045947302467328, relative_change = 1.8916531680075532e-5 Iter 60: T = 635.7710808880968 K, F = -0.29467572094771816, relative_change = 7.913451736688502e-6 Iter 65: T = 635.7557128245882 K, F = -0.12323791860075545, relative_change = 3.3099081169515785e-6 Iter 70: T = 635.7492853235238 K, F = -0.051539746502545336, relative_change = 1.3843144920037546e-6 Iter 75: T = 635.7465971970099 K, F = -0.02155456848689996, relative_change = 5.789493395968386e-7 Iter 80: T = 635.7454729783638 K, F = -0.009014383375412216, relative_change = 2.4212571193621664e-7 Iter 85: T = 635.7450028145951 K, F = -0.0037699237295437116, relative_change = 1.0126024630769974e-7 Iter 90: T = 635.7448061861239 K, F = -0.001576627291360988, relative_change = 4.2348311106511865e-8 Iter 95: T = 635.7447239536847 K, F = -0.0006593643908683888, relative_change = 1.7710581128323977e-8 Iter 100: T = 635.7446895630853 K, F = -0.00027575406804636327, relative_change = 7.406778587125062e-9 Iter 105: T = 635.744675180524 K, F = -0.00011532364612426571, relative_change = 3.0976036392011257e-9 Iter 110: T = 635.7446691655647 K, F = -4.822972655371682e-5, relative_change = 1.2954549066120077e-9 Iter 115: T = 635.7446666500368 K, F = -2.0170248160311655e-5, relative_change = 5.41774737412142e-10 Iter 120: T = 635.7446655980131 K, F = -8.435438399179152e-6, relative_change = 2.265766600070618e-10 Iter 125: T = 635.7446651580442 K, F = -3.5278024757001702e-6, relative_change = 9.47571029408755e-11 Iter 130: T = 635.7446649740439 K, F = -1.4753697598068882e-6, relative_change = 3.962856916210127e-11 Iter 135: T = 635.7446648970928 K, F = -6.170172828223741e-7, relative_change = 1.6573141694207934e-11 Iter 140: T = 635.7446648649108 K, F = -2.580431959775531e-7, relative_change = 6.931064283371258e-12 Iter 145: T = 635.744664851452 K, F = -1.079158842842709e-7, relative_change = 2.8986307056574757e-12 Iter 150: T = 635.7446648458234 K, F = -4.5132897419364326e-8, relative_change = 1.2122738294573825e-12 Iter 155: T = 635.7446648434694 K, F = -1.8875029761389328e-8, relative_change = 5.069850578781466e-13 Converged in 160 iterations to T = 635.7446648424849 K Iter 1: T = 966.5019615520026 K, F = -7632.5599252370275, relative_change = 0.03349803844799736 Iter 2: T = 935.0441042923238 K, F = -6471.345356952944, relative_change = 0.032548156662987 Iter 3: T = 905.5966751278255 K, F = -5485.3864146473325, relative_change = 0.03149309110588452 Iter 5: T = 852.6081584515341 K, F = -3937.7380851658727, relative_change = 0.02906279133156464 Iter 10: T = 752.6875258529631 K, F = -1708.1353738982605, relative_change = 0.021416503257314333 Iter 15: T = 692.8120830375422 K, F = -732.766602406447, relative_change = 0.013232220287208725 Iter 20: T = 661.3739298144844 K, F = -311.04247766461833, relative_change = 0.006937313522283028 Iter 25: T = 646.5095024780848 K, F = -131.0606667418466, relative_change = 0.00324910819166794 Iter 30: T = 639.9169945061328 K, F = -54.999835434777005, relative_change = 0.0014309361729953666 Iter 35: T = 637.0867841008499 K, F = -23.036072637951065, relative_change = 0.0006120540659337095 Iter 40: T = 635.8897460813761 K, F = -9.640107800363689, relative_change = 0.00025843074303727475 Iter 45: T = 635.3867371239818 K, F = -4.03269205507053, relative_change = 0.00010851561093377515 Iter 50: T = 635.1759505752398 K, F = -1.6867101883515603, relative_change = 4.545937317247351e-5 Iter 55: T = 635.0877230150253 K, F = -0.7054356596559104, relative_change = 1.902512712960158e-5 Iter 60: T = 635.050812214551 K, F = -0.2950274478628966, relative_change = 7.958894508645566e-6 Iter 65: T = 635.0353734051404 K, F = -0.12338502203037699, relative_change = 3.3289175274524797e-6 Iter 70: T = 635.0289163132146 K, F = -0.05160126814411009, relative_change = 1.3922652768577477e-6 Iter 75: T = 635.0262158107353 K, F = -0.021580297787913205, relative_change = 5.822745966381585e-7 Iter 80: T = 635.0250864161876 K, F = -0.009025143712886263, relative_change = 2.43516399272664e-7 Iter 85: T = 635.0246140877733 K, F = -0.0037744238376116734, relative_change = 1.0184185275659346e-7 Iter 90: T = 635.0244165540178 K, F = -0.0015785092912499188, relative_change = 4.2591546633534285e-8 Iter 95: T = 635.024333942977 K, F = -0.0006601514659183572, relative_change = 1.781230526567346e-8 Iter 100: T = 635.0242993940419 K, F = -0.00027608323212363617, relative_change = 7.4493208559096e-9 Iter 105: T = 635.0242849452626 K, F = -0.00011546130648765196, relative_change = 3.1153953285267193e-9 Iter 110: T = 635.0242789026103 K, F = -4.828729725103731e-5, relative_change = 1.3028955905188953e-9 Iter 115: T = 635.0242763755009 K, F = -2.019432528788112e-5, relative_change = 5.448865305673352e-10 Iter 120: T = 635.0242753186334 K, F = -8.44550767975516e-6, relative_change = 2.2787804739021786e-10 Iter 125: T = 635.0242748766389 K, F = -3.53201264929881e-6, relative_change = 9.530133404250964e-11 Iter 130: T = 635.0242746917914 K, F = -1.4771301104499202e-6, relative_change = 3.985616254892961e-11 Iter 135: T = 635.024274614486 K, F = -6.177530215700777e-7, relative_change = 1.6668311533883893e-11 Iter 140: T = 635.024274582156 K, F = -2.5835195960333124e-7, relative_change = 6.970894190297388e-12 Iter 145: T = 635.0242745686353 K, F = -1.0804655559137899e-7, relative_change = 2.9153295677971924e-12 Iter 150: T = 635.0242745629807 K, F = -4.5186751784775936e-8, relative_change = 1.2192362156796568e-12 Iter 155: T = 635.0242745606158 K, F = -1.88970907255559e-8, relative_change = 5.098843460519094e-13 Converged in 160 iterations to T = 635.0242745596269 K Iter 1: T = 976.3296451460432 K, F = -5393.31286979438, relative_change = 0.02367035485395689 Iter 2: T = 954.8230719248189 K, F = -4560.536767295851, relative_change = 0.022027983405140953 Iter 3: T = 935.3895410756138 K, F = -3854.60566609266, relative_change = 0.0203530176643399 Iter 5: T = 902.3240739096209 K, F = -2749.8175316389793, relative_change = 0.016998231030027816 Iter 10: T = 847.8061182251205 K, F = -1172.7471659807086, relative_change = 0.009585284497575848 Iter 15: T = 820.8525146922701 K, F = -495.64757586261186, relative_change = 0.0047014964082674835 Iter 20: T = 808.5896358406079 K, F = -208.32793825519667, relative_change = 0.002120573407385106 Iter 25: T = 803.2592117492976 K, F = -87.3196417769909, relative_change = 0.0009170639585236392 Iter 30: T = 800.99209732025 K, F = -36.55309715451071, relative_change = 0.00038907990879800014 Iter 35: T = 800.0371364976872 K, F = -15.293134450055899, relative_change = 0.0001637098272211127 Iter 40: T = 799.6365510573048 K, F = -6.396860130401127, relative_change = 6.864045701028887e-5 Iter 45: T = 799.4688087640627 K, F = -2.675434119191747, relative_change = 2.8736990733673053e-5 Iter 50: T = 799.398619651492 K, F = -1.118931904251655, relative_change = 1.2023536208033926e-5 Iter 55: T = 799.3692591994622 K, F = -0.46795652978162317, relative_change = 5.029328631177796e-6 Iter 60: T = 799.356979165767 K, F = -0.1957060316828455, relative_change = 2.1034901329167294e-6 Iter 65: T = 799.3518433092485 K, F = -0.08184677848104738, relative_change = 8.797335278356795e-7 Iter 70: T = 799.3496953977747 K, F = -0.03422933148663243, relative_change = 3.6792011073472136e-7 Iter 75: T = 799.3487971094332 K, F = -0.01431512067933316, relative_change = 1.5386946625435013e-7 Iter 80: T = 799.3484214334521 K, F = -0.005986755381683584, relative_change = 6.435020263661937e-8 Iter 85: T = 799.3482643210835 K, F = -0.0025037327646697527, relative_change = 2.691205022738837e-8 Iter 90: T = 799.348198614782 K, F = -0.0010470909720508015, relative_change = 1.1254945519265858e-8 Iter 95: T = 799.3481711356162 K, F = -0.0004379059546832931, relative_change = 4.7069534556025195e-9 Iter 100: T = 799.3481596434999 K, F = -0.00018313750165233067, relative_change = 1.968504301073424e-9 Iter 105: T = 799.3481548373595 K, F = -7.659029146933616e-5, relative_change = 8.232520435938871e-10 Iter 110: T = 799.3481528273742 K, F = -3.2030974203567375e-5, relative_change = 3.44293836479943e-10 Iter 115: T = 799.3481519867743 K, F = -1.3395738366894783e-5, relative_change = 1.4398782093235846e-10 Iter 120: T = 799.3481516352253 K, F = -5.602257428738433e-6, relative_change = 6.021742281476575e-11 Iter 125: T = 799.3481514882034 K, F = -2.3429322053569734e-6, relative_change = 2.5183658758008072e-11 Iter 130: T = 799.348151426717 K, F = -9.798419495776756e-7, relative_change = 1.0532103851559438e-11 Iter 135: T = 799.3481514010026 K, F = -4.097805783587205e-7, relative_change = 4.404640575092097e-12 Iter 140: T = 799.3481513902486 K, F = -1.7137471475248134e-7, relative_change = 1.842068809642749e-12 Iter 145: T = 799.3481513857511 K, F = -7.166999560492826e-8, relative_change = 7.70364891257661e-13 Iter 150: T = 799.3481513838702 K, F = -2.9972157755686624e-8, relative_change = 3.2216407794628016e-13 Converged in 153 iterations to T = 799.3481513833195 K Iter 1: T = 965.2924639344496 K, F = -7908.145107925727, relative_change = 0.03470753606555032 Iter 2: T = 932.565422111061 K, F = -6707.195353893037, relative_change = 0.03390375771711296 Iter 3: T = 901.7895081527907 K, F = -5687.389246890566, relative_change = 0.03300134578076298 Iter 5: T = 845.9775542346374 K, F = -4086.2640573308477, relative_change = 0.03088294008185404 Iter 10: T = 738.4035581881898 K, F = -1777.6459414789997, relative_change = 0.023826864790184032 Iter 15: T = 671.3981154011701 K, F = -765.1533252340562, relative_change = 0.015520818753950623 Iter 20: T = 634.8821251015293 K, F = -325.71146624320994, relative_change = 0.008501009751466768 Iter 25: T = 617.1538334809628 K, F = -137.4856357258427, relative_change = 0.0040906536501970694 Iter 30: T = 609.1737865394267 K, F = -57.74867317232784, relative_change = 0.0018265263102937247 Iter 35: T = 605.7233268790211 K, F = -24.197514606482986, relative_change = 0.0007861937660337679 Iter 40: T = 604.2592963175819 K, F = -10.127992429075523, relative_change = 0.0003328687190717573 Iter 45: T = 603.6432504950507 K, F = -4.237114714786433, relative_change = 0.0001399350868863525 Iter 50: T = 603.3849459656175 K, F = -1.7722697381610608, relative_change = 5.865037286950749e-5 Iter 55: T = 603.2768027595051 K, F = -0.7412295356118657, relative_change = 2.4550718973742084e-5 Iter 60: T = 603.2315554467165 K, F = -0.3099989495122888, relative_change = 1.0271332630471427e-5 Iter 65: T = 603.2126288860665 K, F = -0.12964664597214687, relative_change = 4.29628150161143e-6 Iter 70: T = 603.2047129435512 K, F = -0.05422001758606182, relative_change = 1.7968765102030838e-6 Iter 75: T = 603.2014022918584 K, F = -0.02267550119130579, relative_change = 7.514962544850004e-7 Iter 80: T = 603.2000177185433 K, F = -0.009483172799532369, relative_change = 3.1428838815813096e-7 Iter 85: T = 603.1994386700828 K, F = -0.003965977410855137, relative_change = 1.314398008997368e-7 Iter 90: T = 603.1991965045128 K, F = -0.0016586193430161988, relative_change = 5.496980701738848e-8 Iter 95: T = 603.1990952278763 K, F = -0.00069365445647529, relative_change = 2.2989049446073342e-8 Iter 100: T = 603.1990528727596 K, F = -0.0002900945841257663, relative_change = 9.6142984532257e-9 Iter 105: T = 603.1990351593407 K, F = -0.00012132102036799264, relative_change = 4.020815021619371e-9 Iter 110: T = 603.1990277513769 K, F = -5.0737899495556515e-5, relative_change = 1.6815529556761046e-9 Iter 115: T = 603.1990246532779 K, F = -2.1219195216082287e-5, relative_change = 7.032455355843134e-10 Iter 120: T = 603.1990233576158 K, F = -8.874120426827226e-6, relative_change = 2.9410567048715983e-10 Iter 125: T = 603.1990228157545 K, F = -3.711262887395872e-6, relative_change = 1.2299849585319248e-10 Iter 130: T = 603.1990225891417 K, F = -1.5520946723968088e-6, relative_change = 5.143944696463482e-11 Iter 135: T = 603.1990224943695 K, F = -6.491047215839707e-7, relative_change = 2.15125974717942e-11 Iter 140: T = 603.1990224547346 K, F = -2.7146353337448303e-7, relative_change = 8.996831373114041e-12 Iter 145: T = 603.1990224381587 K, F = -1.1352936724051688e-7, relative_change = 3.7625848319150606e-12 Iter 150: T = 603.1990224312267 K, F = -4.748024406975304e-8, relative_change = 1.5735879667485325e-12 Iter 155: T = 603.1990224283275 K, F = -1.9856542243790187e-8, relative_change = 6.58084568623399e-13 Iter 160: T = 603.1990224271151 K, F = -8.304454290897212e-9, relative_change = 2.7522582495143267e-13 Converged in 162 iterations to T = 603.1990224268585 K Iter 1: T = 964.582210064233 K, F = -8069.97712788045, relative_change = 0.03541778993576701 Iter 2: T = 931.105210301256 K, F = -6845.763153058318, relative_change = 0.03470621727592064 Iter 3: T = 899.5386410412887 K, F = -5806.147006960714, relative_change = 0.03390225820963249 Iter 5: T = 842.0245113867921 K, F = -4173.741503768568, relative_change = 0.03199348878225214 Iter 10: T = 729.6502555023352 K, F = -1818.958747473715, relative_change = 0.025406487801577515 Iter 15: T = 657.8524194914562 K, F = -784.7168866628973, relative_change = 0.01715512173647479 Iter 20: T = 617.6777531314208 K, F = -334.7343319073691, relative_change = 0.009703866690112698 Iter 25: T = 597.7764267173796 K, F = -141.49084431337258, relative_change = 0.004769652661370826 Iter 30: T = 588.7113938308561 K, F = -59.475089326235846, relative_change = 0.0021537369295290443 Iter 35: T = 584.7686772183795 K, F = -24.929568423105437, relative_change = 0.0009318985834387204 Iter 40: T = 583.0913257760723 K, F = -10.43599148173909, relative_change = 0.0003954658262432848 Iter 45: T = 582.3847042483851 K, F = -4.366253210328967, relative_change = 0.00016641334131411333 Iter 50: T = 582.0882770832063 K, F = -1.8263351626866062, relative_change = 6.977692193773818e-5 Iter 55: T = 581.9641477334324 K, F = -0.7638505526494888, relative_change = 2.921329818419087e-5 Iter 60: T = 581.9122073134347 K, F = -0.31946111766297497, relative_change = 1.2222913239743289e-5 Iter 65: T = 581.8904802999059 K, F = -0.13360415074007073, relative_change = 5.112741924695613e-6 Iter 70: T = 581.881392944334 K, F = -0.05587514810837568, relative_change = 2.1383800692079633e-6 Iter 75: T = 581.8775923534363 K, F = -0.023367706122363274, relative_change = 8.94325878155401e-7 Iter 80: T = 581.87600287465 K, F = -0.009772662844998059, relative_change = 3.740229742416123e-7 Iter 85: T = 581.875338131042 K, F = -0.0040870458991296155, relative_change = 1.5642178611306502e-7 Iter 90: T = 581.8750601265224 K, F = -0.0017092516827005855, relative_change = 6.541761846588211e-8 Iter 95: T = 581.8749438615716 K, F = -0.0007148295154614792, relative_change = 2.735845719397623e-8 Iter 100: T = 581.8748952381561 K, F = -0.0002989502498635388, relative_change = 1.1441638447991254e-8 Iter 105: T = 581.8748749032587 K, F = -0.00012502456622953684, relative_change = 4.7850306951518185e-9 Iter 110: T = 581.874866398961 K, F = -5.228676674107202e-5, relative_change = 2.001157122641028e-9 Iter 115: T = 581.874862842362 K, F = -2.186695009626094e-5, relative_change = 8.369078246063193e-10 Iter 120: T = 581.8748613549498 K, F = -9.145019907730312e-6, relative_change = 3.5000486013879927e-10 Iter 125: T = 581.8748607328963 K, F = -3.824556446263561e-6, relative_change = 1.4637620960769772e-10 Iter 130: T = 581.8748604727459 K, F = -1.5994746809799842e-6, relative_change = 6.121625996457984e-11 Iter 135: T = 581.874860363948 K, F = -6.689192148523482e-7, relative_change = 2.5601363419561658e-11 Iter 140: T = 581.8748603184474 K, F = -2.7975000066460254e-7, relative_change = 1.0706795794293773e-11 Iter 145: T = 581.8748602994185 K, F = -1.1699436086587411e-7, relative_change = 4.477693398012409e-12 Iter 150: T = 581.8748602914604 K, F = -4.892863414429627e-8, relative_change = 1.8726323258187957e-12 Iter 155: T = 581.8748602881323 K, F = -2.0461862093590355e-8, relative_change = 7.831312905842433e-13 Iter 160: T = 581.8748602867404 K, F = -8.5569833996324e-9, relative_change = 3.2749910163051774e-13 Converged in 163 iterations to T = 581.8748602863328 K Iter 1: T = 964.2783164812632 K, F = -8139.219569837547, relative_change = 0.035721683518736815 Iter 2: T = 930.4793782885403 K, F = -6905.067305619856, relative_change = 0.0350510196226939 Iter 3: T = 898.5721018922152 K, F = -5856.990179350927, relative_change = 0.034291223578767696 Iter 5: T = 840.3193743338157 K, F = -4211.229543814911, relative_change = 0.032478466759452776 Iter 10: T = 725.815987963791 K, F = -1836.75436047993, relative_change = 0.026124294395376394 Iter 15: T = 651.8057210363551 K, F = -793.2280028629857, relative_change = 0.017936427964432067 Iter 20: T = 609.8685434285869 K, F = -338.7070342778528, relative_change = 0.010306475266703963 Iter 25: T = 588.8848013902782 K, F = -143.27098398080352, relative_change = 0.0051207352285677086 Iter 30: T = 579.2682816770633 K, F = -60.24660148257871, relative_change = 0.002325816838086739 Iter 35: T = 575.0727863291193 K, F = -25.25758347955321, relative_change = 0.0010091378201071719 Iter 40: T = 573.2853803081953 K, F = -10.574162211218095, relative_change = 0.00042876569867016735 Iter 45: T = 572.5319349355731 K, F = -4.424215353692144, relative_change = 0.00018052016909128352 Iter 50: T = 572.2157829681453 K, F = -1.8506069818048914, relative_change = 7.570857320520692e-5 Iter 55: T = 572.0833793211862 K, F = -0.7740068252045438, relative_change = 3.1699617201283425e-5 Iter 60: T = 572.0279740761006 K, F = -0.32370955719274475, relative_change = 1.3263708986397025e-5 Iter 65: T = 572.0047972579043 K, F = -0.13538106780219167, relative_change = 5.54818802086098e-6 Iter 70: T = 571.9951034413424 K, F = -0.056618305597632396, relative_change = 2.320519078009758e-6 Iter 75: T = 571.9910491975342 K, F = -0.023678508628606543, relative_change = 9.70503878723696e-7 Iter 80: T = 571.9893536339289 K, F = -0.009902645068465138, relative_change = 4.0588244944025995e-7 Iter 85: T = 571.9886445236581 K, F = -0.004141406174432205, relative_change = 1.6974596098021485e-7 Iter 90: T = 571.9883479643435 K, F = -0.0017319858256400478, relative_change = 7.098997579430156e-8 Iter 95: T = 571.9882239395338 K, F = -0.000724337210290138, relative_change = 2.968888852684944e-8 Iter 100: T = 571.9881720708487 K, F = -0.00030292648099361497, relative_change = 1.2416253481146122e-8 Iter 105: T = 571.9881503787402 K, F = -0.0001266874737774759, relative_change = 5.192626495227021e-9 Iter 110: T = 571.9881413068404 K, F = -5.298221441513151e-5, relative_change = 2.1716185737897474e-9 Iter 115: T = 571.9881375128635 K, F = -2.2157794994037694e-5, relative_change = 9.081968583981184e-10 Iter 120: T = 571.988135926177 K, F = -9.266655369211119e-6, relative_change = 3.7981881354109006e-10 Iter 125: T = 571.9881352626057 K, F = -3.875425400312604e-6, relative_change = 1.5884474246601303e-10 Iter 130: T = 571.9881349850923 K, F = -1.6207493091502378e-6, relative_change = 6.643077355787552e-11 Iter 135: T = 571.9881348690328 K, F = -6.778159733489275e-7, relative_change = 2.7782112402416648e-11 Iter 140: T = 571.9881348204955 K, F = -2.8347072689172137e-7, relative_change = 1.1618810872177655e-11 Iter 145: T = 571.9881348001965 K, F = -1.1855076659239572e-7, relative_change = 4.85912231970106e-12 Iter 150: T = 571.9881347917072 K, F = -4.9578872007849384e-8, relative_change = 2.0321235408309756e-12 Iter 155: T = 571.988134788157 K, F = -2.073507604505309e-8, relative_change = 8.498829127586217e-13 Iter 160: T = 571.9881347866723 K, F = -8.671854123676326e-9, relative_change = 3.554392868261175e-13 Converged in 163 iterations to T = 571.9881347862375 K Iter 1: T = 979.9330603632769 K, F = -4572.2712848148785, relative_change = 0.02006693963672308 Iter 2: T = 961.9187764841232 K, F = -3862.432086631845, relative_change = 0.018383178002460213 Iter 3: T = 945.8377448313793 K, F = -3261.273590089455, relative_change = 0.01671766062361441 Iter 5: T = 918.9569213547824 K, F = -2321.8914322218816, relative_change = 0.013531026382364069 Iter 10: T = 876.1956961284781 K, F = -985.9502509056197, relative_change = 0.00713407779713547 Iter 15: T = 855.9095284019435 K, F = -415.5317757577554, relative_change = 0.0033525723114763966 Iter 20: T = 846.895906495801 K, F = -174.39813109390812, relative_change = 0.0014789959278152492 Iter 25: T = 843.0229171281296 K, F = -73.04844322061723, relative_change = 0.0006330945515813789 Iter 30: T = 841.3842023920317 K, F = -30.56989847867328, relative_change = 0.0002674033020151184 Iter 35: T = 840.6954817760867 K, F = -12.788253446146344, relative_change = 0.00011229898874922307 Iter 40: T = 840.4068523106798 K, F = -5.348824596335401, relative_change = 4.704708871376592e-5 Iter 45: T = 840.286038991923 K, F = -2.237051672822657, relative_change = 1.969008762842954e-5 Iter 50: T = 840.2354950208099 K, F = -0.9355808623871371, relative_change = 8.237156909534114e-6 Iter 55: T = 840.214353708471 K, F = -0.3912744376865399, relative_change = 3.4453195858873776e-6 Iter 60: T = 840.2055115958368 K, F = -0.16363622821912838, relative_change = 1.440951151190582e-6 Iter 65: T = 840.2018136201978 K, F = -0.06843472728303479, relative_change = 6.026365104069079e-7 Iter 70: T = 840.2002670653873 K, F = -0.028620238137208043, relative_change = 2.520321521391676e-7 Iter 75: T = 840.1996202746815 K, F = -0.011969328517561939, relative_change = 1.0540326982488004e-7 Iter 80: T = 840.1993497785568 K, F = -0.0050057166753945115, relative_change = 4.4080978594479264e-8 Iter 85: T = 840.1992366537548 K, F = -0.0020934505901364364, relative_change = 1.843520434630895e-8 Iter 90: T = 840.1991893435957 K, F = -0.0008755060551026705, relative_change = 7.709824839178761e-9 Iter 95: T = 840.1991695579192 K, F = -0.00036614709062754436, relative_change = 3.224341207208727e-9 Iter 100: T = 840.1991612833125 K, F = -0.00015312708718528967, relative_change = 1.3484580731118156e-9 Iter 105: T = 840.1991578227731 K, F = -6.40395784219372e-5, relative_change = 5.63941297405458e-10 Iter 110: T = 840.1991563755341 K, F = -2.678211483009285e-5, relative_change = 2.3584697277206955e-10 Iter 115: T = 840.1991557702814 K, F = -1.120059880466151e-5, relative_change = 9.863400807340977e-11 Iter 120: T = 840.1991555171577 K, F = -4.684224363726841e-6, relative_change = 4.1249921761320944e-11 Iter 125: T = 840.1991554112982 K, F = -1.958999041207221e-6, relative_change = 1.7251214065349435e-11 Iter 130: T = 840.1991553670265 K, F = -8.192750005076022e-7, relative_change = 7.214647949486528e-12 Iter 135: T = 840.1991553485117 K, F = -3.4263286186053676e-7, relative_change = 3.0172719452889577e-12 Iter 140: T = 840.1991553407685 K, F = -1.4329316644356993e-7, relative_change = 1.261859264558107e-12 Iter 145: T = 840.1991553375302 K, F = -5.992764195994482e-8, relative_change = 5.277310292493613e-13 Converged in 150 iterations to T = 840.1991553361759 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: 0:00:09 Bin 1 ray tracing: 20%|██████ | ETA: 0:00:08 Bin 1 ray tracing: 30%|████████▉ | ETA: 0:00:07 Bin 1 ray tracing: 39%|███████████▊ | ETA: 0:00:06 Bin 1 ray tracing: 49%|██████████████▋ | ETA: 0:00:05 Bin 1 ray tracing: 59%|█████████████████▋ | ETA: 0:00:04 Bin 1 ray tracing: 68%|████████████████████▌ | ETA: 0:00:03 Bin 1 ray tracing: 78%|███████████████████████▌ | ETA: 0:00:02 Bin 1 ray tracing: 88%|██████████████████████████▍ | ETA: 0:00:01 Bin 1 ray tracing: 98%|█████████████████████████████▍| ETA: 0:00:00 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 1 Energy per ray: 0.0 Processing spectral bin 2/10 ┌ Warning: No emitters found for spectral bin 2 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 2 ray tracing: 7%|██ | ETA: 0:00:14 Bin 2 ray tracing: 13%|███▉ | ETA: 0:00:13 Bin 2 ray tracing: 21%|██████▏ | ETA: 0:00:12 Bin 2 ray tracing: 30%|█████████ | ETA: 0:00:09 Bin 2 ray tracing: 40%|███████████▉ | ETA: 0:00:08 Bin 2 ray tracing: 49%|██████████████▊ | ETA: 0:00:06 Bin 2 ray tracing: 58%|█████████████████▌ | ETA: 0:00:05 Bin 2 ray tracing: 67%|████████████████████▎ | ETA: 0:00:04 Bin 2 ray tracing: 77%|███████████████████████▏ | ETA: 0:00:03 Bin 2 ray tracing: 87%|██████████████████████████▏ | ETA: 0:00:02 Bin 2 ray tracing: 96%|████████████████████████████▉ | ETA: 0:00:00 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 2 Energy per ray: 0.0 Processing spectral bin 3/10 ┌ Warning: No emitters found for spectral bin 3 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 3 ray tracing: 9%|██▊ | ETA: 0:00:10 Bin 3 ray tracing: 19%|█████▌ | ETA: 0:00:11 Bin 3 ray tracing: 27%|████████▏ | ETA: 0:00:09 Bin 3 ray tracing: 37%|███████████▎ | ETA: 0:00:07 Bin 3 ray tracing: 47%|██████████████▎ | ETA: 0:00:06 Bin 3 ray tracing: 57%|█████████████████▏ | ETA: 0:00:05 Bin 3 ray tracing: 67%|████████████████████▏ | ETA: 0:00:04 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: 21%|██████▎ | ETA: 0:00:08 Bin 4 ray tracing: 32%|█████████▌ | ETA: 0:00:07 Bin 4 ray tracing: 42%|████████████▋ | ETA: 0:00:06 Bin 4 ray tracing: 53%|███████████████▉ | ETA: 0:00:05 Bin 4 ray tracing: 63%|██████████████████▉ | ETA: 0:00:04 Bin 4 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 4 ray tracing: 84%|█████████████████████████▏ | ETA: 0:00:02 Bin 4 ray tracing: 95%|████████████████████████████▍ | 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: 11%|███▏ | ETA: 0:00:09 Bin 5 ray tracing: 21%|██████▎ | ETA: 0:00:08 Bin 5 ray tracing: 32%|█████████▌ | ETA: 0:00:07 Bin 5 ray tracing: 40%|████████████ | ETA: 0:00:06 Bin 5 ray tracing: 50%|███████████████ | ETA: 0:00:05 Bin 5 ray tracing: 61%|██████████████████▎ | ETA: 0:00:04 Bin 5 ray tracing: 71%|█████████████████████▍ | ETA: 0:00:03 Bin 5 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:02 Bin 5 ray tracing: 93%|███████████████████████████▉ | ETA: 0:00:01 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 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: 21%|██████▎ | ETA: 0:00:08 Bin 6 ray tracing: 31%|█████████▍ | ETA: 0:00:07 Bin 6 ray tracing: 42%|████████████▌ | ETA: 0:00:06 Bin 6 ray tracing: 52%|███████████████▊ | ETA: 0:00:05 Bin 6 ray tracing: 63%|██████████████████▉ | ETA: 0:00:04 Bin 6 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 6 ray tracing: 84%|█████████████████████████▏ | ETA: 0:00:02 Bin 6 ray tracing: 94%|████████████████████████████▎ | ETA: 0:00:01 Bin 6 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 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: 21%|██████▏ | ETA: 0:00:08 Bin 7 ray tracing: 31%|█████████▍ | ETA: 0:00:07 Bin 7 ray tracing: 42%|████████████▌ | ETA: 0:00:06 Bin 7 ray tracing: 52%|███████████████▋ | ETA: 0:00:05 Bin 7 ray tracing: 63%|██████████████████▉ | ETA: 0:00:04 Bin 7 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 7 ray tracing: 84%|█████████████████████████▏ | ETA: 0:00:02 Bin 7 ray tracing: 94%|████████████████████████████ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 11%|███▏ | ETA: 0:00:08 Bin 8 ray tracing: 21%|██████▍ | ETA: 0:00:08 Bin 8 ray tracing: 32%|█████████▌ | ETA: 0:00:07 Bin 8 ray tracing: 42%|████████████▋ | ETA: 0:00:06 Bin 8 ray tracing: 53%|███████████████▉ | ETA: 0:00:05 Bin 8 ray tracing: 63%|███████████████████ | ETA: 0:00:04 Bin 8 ray tracing: 73%|██████████████████████ | ETA: 0:00:03 Bin 8 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:02 Bin 8 ray tracing: 89%|██████████████████████████▊ | ETA: 0:00:01 Bin 8 ray tracing: 99%|█████████████████████████████▊| 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: 10%|███▏ | ETA: 0:00:09 Bin 9 ray tracing: 21%|██████▎ | ETA: 0:00:08 Bin 9 ray tracing: 32%|█████████▌ | ETA: 0:00:06 Bin 9 ray tracing: 42%|████████████▊ | ETA: 0:00:06 Bin 9 ray tracing: 53%|███████████████▊ | ETA: 0:00:05 Bin 9 ray tracing: 63%|██████████████████▉ | ETA: 0:00:04 Bin 9 ray tracing: 74%|██████████████████████▏ | ETA: 0:00:02 Bin 9 ray tracing: 85%|█████████████████████████▍ | ETA: 0:00:01 Bin 9 ray tracing: 95%|████████████████████████████▌ | ETA: 0:00:00 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 11%|███ | ETA: 0:00:08 Bin 10 ray tracing: 21%|██████▏ | ETA: 0:00:07 Bin 10 ray tracing: 32%|█████████▎ | ETA: 0:00:06 Bin 10 ray tracing: 42%|████████████▎ | ETA: 0:00:05 Bin 10 ray tracing: 53%|███████████████▍ | ETA: 0:00:04 Bin 10 ray tracing: 64%|██████████████████▌ | ETA: 0:00:03 Bin 10 ray tracing: 74%|█████████████████████▌ | ETA: 0:00:03 Bin 10 ray tracing: 85%|████████████████████████▋ | ETA: 0:00:01 Bin 10 ray tracing: 95%|███████████████████████████▋ | ETA: 0:00:00 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:09 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Iter 1: T = 967.2429705467159 K, F = -7463.720320910082, relative_change = 0.032757029453284084 Iter 2: T = 936.5577837608182 K, F = -6326.923649369925, relative_change = 0.031724383345534665 Iter 3: T = 907.9132824014407 K, F = -5361.770711036448, relative_change = 0.03058487351880557 Iter 5: T = 856.6094280823452 K, F = -3847.011003166411, relative_change = 0.027989806910708095 Iter 10: T = 761.0838049688043 K, F = -1666.0343958898598, relative_change = 0.02009063680604546 Iter 15: T = 705.047266149149 K, F = -713.4225282563666, relative_change = 0.01206854234131721 Iter 20: T = 676.1804770552784 K, F = -302.405339670457, relative_change = 0.0061916902534000515 Iter 25: T = 662.7046750594216 K, F = -127.31493045444417, relative_change = 0.002863324474953764 Iter 30: T = 656.7687934416286 K, F = -53.40577862020748, relative_change = 0.0012531676086799273 Iter 35: T = 654.2286794054253 K, F = -22.364227969575456, relative_change = 0.0005345085383298883 Iter 40: T = 653.1558639690674 K, F = -9.35819653811026, relative_change = 0.0002254137628743254 Iter 45: T = 652.7053288836552 K, F = -3.914627104949621, relative_change = 9.46028827344773e-5 Iter 50: T = 652.5165800658772 K, F = -1.6373047623867414, relative_change = 3.962245061275599e-5 Iter 55: T = 652.4375852165886 K, F = -0.6847685915253934, relative_change = 1.6580817580360425e-5 Iter 60: T = 652.4045384977346 K, F = -0.28638333517947534, relative_change = 6.936087760284714e-6 Iter 65: T = 652.390716192619 K, F = -0.11976979375183905, relative_change = 2.901068247668137e-6 Iter 70: T = 652.3849352294411 K, F = -0.0500893090173799, relative_change = 1.2133162293603484e-6 Iter 75: T = 652.3825175073581 K, F = -0.020947973615632998, relative_change = 5.07432929650626e-7 Iter 80: T = 652.3815063776221 K, F = -0.008760697352711677, relative_change = 2.1221618896635016e-7 Iter 85: T = 652.3810835094317 K, F = -0.0036638290644841476, relative_change = 8.875163805735596e-8 Iter 90: T = 652.3809066606142 K, F = -0.0015322572103032561, relative_change = 3.711704625393841e-8 Iter 95: T = 652.3808327002761 K, F = -0.0006408082892366829, relative_change = 1.5522800995589786e-8 Iter 100: T = 652.3808017691704 K, F = -0.00026799368309476934, relative_change = 6.491822312042084e-9 Iter 105: T = 652.3807888334111 K, F = -0.00011207815905095453, relative_change = 2.714957882235161e-9 Iter 110: T = 652.3807834235217 K, F = -4.687242454592955e-5, relative_change = 1.135427853046835e-9 Iter 115: T = 652.3807811610415 K, F = -1.9602607614022105e-5, relative_change = 4.748494932878874e-10 Iter 120: T = 652.3807802148452 K, F = -8.198045474194782e-6, relative_change = 1.9858775132901e-10 Iter 125: T = 652.3807798191347 K, F = -3.428520785553335e-6, relative_change = 8.30517758528199e-11 Iter 130: T = 652.3807796536437 K, F = -1.4338482582365586e-6, relative_change = 3.473324262627216e-11 Iter 135: T = 652.3807795844334 K, F = -5.99652550614671e-7, relative_change = 1.4525858941376273e-11 Iter 140: T = 652.3807795554889 K, F = -2.5078212761986407e-7, relative_change = 6.074894216425498e-12 Iter 145: T = 652.3807795433838 K, F = -1.0487982343709845e-7, relative_change = 2.5405870781980544e-12 Iter 150: T = 652.3807795383215 K, F = -4.3862234067049144e-8, relative_change = 1.0625096557546552e-12 Iter 155: T = 652.3807795362042 K, F = -1.8342902807777506e-8, relative_change = 4.4433467110548147e-13 Converged in 159 iterations to T = 652.3807795354401 K Iter 1: T = 970.3624976317823 K, F = -6752.933107141383, relative_change = 0.029637502368217748 Iter 2: T = 942.8896742113628 K, F = -5719.5488571299275, relative_change = 0.028311917955885755 Iter 3: T = 917.5366592691662 K, F = -4842.550837236449, relative_change = 0.026888633565111456 Iter 5: T = 872.9734708461281 K, F = -3467.2220457930316, relative_change = 0.02379417474023884 Iter 10: T = 793.8918012609531 K, F = -1492.3316193932349, relative_change = 0.015488464952235841 Iter 15: T = 750.8166606528156 K, F = -635.2324524134243, relative_change = 0.00847805110261372 Iter 20: T = 729.9118585200642 K, F = -268.13020281773413, relative_change = 0.004077992152876743 Iter 25: T = 720.5040195851897 K, F = -112.62233806056071, relative_change = 0.0018204985511056564 Iter 30: T = 716.4366375989816 K, F = -47.190063114339544, relative_change = 0.0007835247792627096 Iter 35: T = 714.7109296989408 K, F = -19.75158579996193, relative_change = 0.0003317249169502369 Iter 40: T = 713.9847883629495 K, F = -8.263200939099825, relative_change = 0.00013945177551410925 Iter 45: T = 713.680324081832 K, F = -3.4562702920135506, relative_change = 5.844736887402229e-5 Iter 50: T = 713.5528558491108 K, F = -1.4455412942610277, relative_change = 2.446566608197152e-5 Iter 55: T = 713.4995229928721 K, F = -0.6045579974425643, relative_change = 1.0235735472110071e-5 Iter 60: T = 713.4772143336027 K, F = -0.25283606261339453, relative_change = 4.281389614473492e-6 Iter 65: T = 713.467883847217 K, F = -0.10573953108793999, relative_change = 1.7906477174914835e-6 Iter 70: T = 713.4639815971711 K, F = -0.044221616933688424, relative_change = 7.488911541959641e-7 Iter 75: T = 713.4623496069993 K, F = -0.018494022699834467, relative_change = 3.131988788001579e-7 Iter 80: T = 713.4616670852666 K, F = -0.007734423673445345, relative_change = 1.309841506787001e-7 Iter 85: T = 713.4613816458357 K, F = -0.0032346287868750823, relative_change = 5.4779247858938796e-8 Iter 90: T = 713.4612622715359 K, F = -0.0013527604650507286, relative_change = 2.290935520685332e-8 Iter 95: T = 713.4612123477569 K, F = -0.0005657405945336258, relative_change = 9.580969349641698e-9 Iter 100: T = 713.4611914690328 K, F = -0.00023659947609333543, relative_change = 4.006876413562474e-9 Iter 105: T = 713.4611827373003 K, F = -9.894872839100177e-5, relative_change = 1.6757236980857657e-9 Iter 110: T = 713.4611790855854 K, F = -4.1381539413243296e-5, relative_change = 7.008076715636641e-10 Iter 115: T = 713.4611775583946 K, F = -1.7306255160609574e-5, relative_change = 2.930861605964518e-10 Iter 120: T = 713.4611769197052 K, F = -7.23768250454615e-6, relative_change = 1.2257213164999906e-10 Iter 125: T = 713.4611766525976 K, F = -3.02688582243249e-6, relative_change = 5.126113889977814e-11 Iter 130: T = 713.46117654089 K, F = -1.2658805502718806e-6, relative_change = 2.1438033204119913e-11 Iter 135: T = 713.4611764941726 K, F = -5.29406326998938e-7, relative_change = 8.96564088750325e-12 Iter 140: T = 713.4611764746347 K, F = -2.2140345001808726e-7, relative_change = 3.749527958284559e-12 Iter 145: T = 713.4611764664638 K, F = -9.25940900620148e-8, relative_change = 1.5681062307295171e-12 Iter 150: T = 713.4611764630466 K, F = -3.872455878184411e-8, relative_change = 6.55810990407443e-13 Iter 155: T = 713.4611764616176 K, F = -1.619561496024602e-8, relative_change = 2.742771672951271e-13 Converged in 157 iterations to T = 713.4611764613151 K Iter 1: T = 974.4197418490813 K, F = -5828.48615279418, relative_change = 0.025580258150918668 Iter 2: T = 951.0286829507417 K, F = -4931.099754898163, relative_change = 0.02400511596157963 Iter 3: T = 929.7520475472674 K, F = -4170.0771101357395, relative_change = 0.02237223312493549 Iter 5: T = 893.1884655179907 K, F = -2978.203474269723, relative_change = 0.019017694141138873 Iter 10: T = 831.6014074002678 K, F = -1273.4946025208012, relative_change = 0.011172072699762914 Iter 15: T = 800.3401874274474 K, F = -539.2315457533989, relative_change = 0.005638437056548396 Iter 20: T = 785.8847278623915 K, F = -226.8810366925893, relative_change = 0.002583264970045531 Iter 25: T = 779.5489902383896 K, F = -95.14301705026665, relative_change = 0.0011254966189153779 Iter 30: T = 776.8440484092328 K, F = -39.83678199197875, relative_change = 0.0004790850546450043 Iter 35: T = 775.7027789629884 K, F = -16.668532671980376, relative_change = 0.00020186500572230194 Iter 40: T = 775.223704111879 K, F = -6.972442877785555, relative_change = 8.468865780406465e-5 Iter 45: T = 775.0230354654366 K, F = -2.916215518195842, relative_change = 3.5464600531217275e-5 Iter 50: T = 774.9390583990084 K, F = -1.219641092695987, relative_change = 1.4839919413066185e-5 Iter 55: T = 774.9039285487122 K, F = -0.5100763334901006, relative_change = 6.207666866342515e-6 Iter 60: T = 774.8892351392169 K, F = -0.21332138973193815, relative_change = 2.5963715465369695e-6 Iter 65: T = 774.8830898848481 K, F = -0.08921379335605961, relative_change = 1.0858775165960603e-6 Iter 70: T = 774.8805198144743 K, F = -0.03731031589181388, relative_change = 4.5413462911217084e-7 Iter 75: T = 774.8794449713246 K, F = -0.015603627041494761, relative_change = 1.8992586927513293e-7 Iter 80: T = 774.8789954575043 K, F = -0.006525624461072299, relative_change = 7.942950175948662e-8 Iter 85: T = 774.8788074651802 K, F = -0.0027290943062594497, relative_change = 3.32184073246606e-8 Iter 90: T = 774.8787288444969 K, F = -0.0011413398696951127, relative_change = 1.3892341835094849e-8 Iter 95: T = 774.8786959643797 K, F = -0.000477321970018596, relative_change = 5.8099445122888715e-9 Iter 100: T = 774.8786822135206 K, F = -0.0001996217480968454, relative_change = 2.4297883833766823e-9 Iter 105: T = 774.8786764627467 K, F = -8.348419753612113e-5, relative_change = 1.0161665373160997e-9 Iter 110: T = 774.8786740577046 K, F = -3.491408743483415e-5, relative_change = 4.249729757676397e-10 Iter 115: T = 774.8786730518872 K, F = -1.4601489475851714e-5, relative_change = 1.777287887911768e-10 Iter 120: T = 774.8786726312422 K, F = -6.106515667680945e-6, relative_change = 7.432828260098406e-11 Iter 125: T = 774.8786724553237 K, F = -2.553817832651184e-6, relative_change = 3.10849761323875e-11 Iter 130: T = 774.8786723817524 K, F = -1.0680370474691614e-6, relative_change = 1.3000107415503115e-11 Iter 135: T = 774.878672350984 K, F = -4.466662121282994e-7, relative_change = 5.436804604672898e-12 Iter 140: T = 774.8786723381162 K, F = -1.8680098112788812e-7, relative_change = 2.2737346297017367e-12 Iter 145: T = 774.8786723327348 K, F = -7.812200053525231e-8, relative_change = 9.508980996349573e-13 Iter 150: T = 774.8786723304842 K, F = -3.267124393246945e-8, relative_change = 3.9767317216238e-13 Converged in 154 iterations to T = 774.8786723296719 K Iter 1: T = 970.2954116230719 K, F = -6768.218718041307, relative_change = 0.029704588376928107 Iter 2: T = 942.7541882043851 K, F = -5732.600045071035, relative_change = 0.02838436942891129 Iter 3: T = 917.3318632564049 K, F = -4853.696781130316, relative_change = 0.026966016450588052 Iter 5: T = 872.6293990881823 K, F = -3475.353781738272, relative_change = 0.023879284568605955 Iter 10: T = 793.2249524825186 K, F = -1496.012540346909, relative_change = 0.015573554411653858 Iter 15: T = 749.9143517581622 K, F = -636.8674418770913, relative_change = 0.00853875764083323 Iter 20: T = 728.8738093338008 K, F = -268.83905294337336, relative_change = 0.004111557601233561 Iter 25: T = 719.3993110548978 K, F = -112.924199219581, relative_change = 0.0018364965515211586 Iter 30: T = 715.3019287725454 K, F = -47.31734887102722, relative_change = 0.0007906119642360011 Iter 35: T = 713.5632671500047 K, F = -19.805008812969398, relative_change = 0.0003347627971890874 Iter 40: T = 712.8316342696503 K, F = -8.285577034007458, relative_change = 0.00014073554092646862 Iter 45: T = 712.5248601684862 K, F = -3.465634226789642, relative_change = 5.898660571934011e-5 Iter 50: T = 712.3964236177679 K, F = -1.4494584537519621, relative_change = 2.4691594514793665e-5 Iter 55: T = 712.3426853917416 K, F = -0.6061963842414655, relative_change = 1.0330293846042948e-5 Iter 60: T = 712.3202071305997 K, F = -0.25352128772637794, relative_change = 4.320947730171598e-6 Iter 65: T = 712.3108057021934 K, F = -0.10602610604488427, relative_change = 1.8071936114655598e-6 Iter 70: T = 712.306873781162 K, F = -0.04434146698872754, relative_change = 7.558112325769005e-7 Iter 75: T = 712.3052293818473 K, F = -0.018544145594886707, relative_change = 3.160930060455553e-7 Iter 80: T = 712.3045416703961 K, F = -0.007755385696837647, relative_change = 1.321945211224556e-7 Iter 85: T = 712.3042540605511 K, F = -0.0032433953617868605, relative_change = 5.5285441327908675e-8 Iter 90: T = 712.3041337785562 K, F = -0.001356426751248141, relative_change = 2.31210517059599e-8 Iter 95: T = 712.3040834751681 K, F = -0.0005672738800331922, relative_change = 9.6695034285175e-9 Iter 100: T = 712.3040624376866 K, F = -0.00023724071440445194, relative_change = 4.0439024334409336e-9 Iter 105: T = 712.30405363956 K, F = -9.921690163761099e-5, relative_change = 1.6912084191496157e-9 Iter 110: T = 712.3040499600783 K, F = -4.149369327444141e-5, relative_change = 7.072835774446903e-10 Iter 115: T = 712.3040484212751 K, F = -1.7353158314636907e-5, relative_change = 2.9579444610541384e-10 Iter 120: T = 712.3040477777292 K, F = -7.257298812568536e-6, relative_change = 1.237047834634529e-10 Iter 125: T = 712.3040475085907 K, F = -3.0350905172449316e-6, relative_change = 5.173484316960465e-11 Iter 130: T = 712.3040473960336 K, F = -1.2693112092510006e-6, relative_change = 2.1636131120410706e-11 Iter 135: T = 712.3040473489609 K, F = -5.308401415105024e-7, relative_change = 9.048471978822002e-12 Iter 140: T = 712.3040473292746 K, F = -2.220040865585915e-7, relative_change = 3.784185858585782e-12 Iter 145: T = 712.3040473210415 K, F = -9.284488888816611e-8, relative_change = 1.5825939109421512e-12 Iter 150: T = 712.3040473175982 K, F = -3.882787402709198e-8, relative_change = 6.618431854179439e-13 Iter 155: T = 712.3040473161583 K, F = -1.623799028571682e-8, relative_change = 2.767857752935227e-13 Converged in 157 iterations to T = 712.3040473158535 K Iter 1: T = 969.3698103443543 K, F = -6979.117849871237, relative_change = 0.03063018965564573 Iter 2: T = 940.8818074469317 K, F = -5912.717594017962, relative_change = 0.029388168058692255 Iter 3: T = 914.4966673119923 K, F = -5007.569284837008, relative_change = 0.028042991081456994 Iter 5: T = 867.8477906920638 K, F = -3587.7069863649094, relative_change = 0.02507569456034418 Iter 10: T = 783.8608912222285 K, F = -1547.0312787932905, relative_change = 0.016803754722783344 Iter 15: T = 737.1307373267242 K, F = -659.6157541684703, relative_change = 0.00943893577095744 Iter 20: T = 714.0839278799621 K, F = -278.73119647196916, relative_change = 0.004617675177843339 Iter 25: T = 703.6138265551845 K, F = -117.14402612646991, relative_change = 0.002079869385734174 Iter 30: T = 699.0660181518333 K, F = -49.09821886914552, relative_change = 0.0008988739654795161 Iter 35: T = 697.1324058973282 K, F = -20.55273710493226, relative_change = 0.00038125296926114194 Iter 40: T = 696.3180413136946 K, F = -8.598811724223799, relative_change = 0.00016039686196943727 Iter 45: T = 695.9764538783321 K, F = -3.5967254494803664, relative_change = 6.724790872873037e-5 Iter 50: T = 695.8334202655727 K, F = -1.5042986451415765, relative_change = 2.8153374578749284e-5 Iter 55: T = 695.7735707569581 K, F = -0.6291340581859636, relative_change = 1.1779244308632354e-5 Iter 60: T = 695.7485355255758 K, F = -0.2631145958486189, relative_change = 4.927124911395322e-6 Iter 65: T = 695.7380645388741 K, F = -0.11003822935848462, relative_change = 2.060740680045994e-6 Iter 70: T = 695.7336852803114 K, F = -0.04601940014115147, relative_change = 8.618540351491471e-7 Iter 75: T = 695.731853792893 K, F = -0.019245879950988476, relative_change = 3.604424903198948e-7 Iter 80: T = 695.7310878378769 K, F = -0.00804885985037418, relative_change = 1.5074220056354478e-7 Iter 85: T = 695.7307675054487 K, F = -0.0033661298388477645, relative_change = 6.304233656102103e-8 Iter 90: T = 695.7306335384457 K, F = -0.0014077557895950665, relative_change = 2.6365083907826866e-8 Iter 95: T = 695.7305775118178 K, F = -0.000588740300481505, relative_change = 1.1026197503979213e-8 Iter 100: T = 695.7305540808082 K, F = -0.00024621822848958086, relative_change = 4.611288287043886e-9 Iter 105: T = 695.7305442816794 K, F = -0.00010297140494641699, relative_change = 1.928495986199609e-9 Iter 110: T = 695.7305401835665 K, F = -4.3063871141724164e-5, relative_change = 8.065200724348421e-10 Iter 115: T = 695.7305384696866 K, F = -1.800982502087045e-5, relative_change = 3.3729632672663937e-10 Iter 120: T = 695.7305377529216 K, F = -7.53192371860667e-6, relative_change = 1.4106134917960056e-10 Iter 125: T = 695.730537453162 K, F = -3.1499407088242393e-6, relative_change = 5.899354583694306e-11 Iter 130: T = 695.730537327799 K, F = -1.3173433883739705e-6, relative_change = 2.4671816016725374e-11 Iter 135: T = 695.7305372753706 K, F = -5.50928298537201e-7, relative_change = 1.0318039885994762e-11 Iter 140: T = 695.7305372534445 K, F = -2.3040534735674356e-7, relative_change = 4.315137869378371e-12 Iter 145: T = 695.7305372442746 K, F = -9.635881403902147e-8, relative_change = 1.8046524193315013e-12 Iter 150: T = 695.7305372404396 K, F = -4.029741862421332e-8, relative_change = 7.547086869028873e-13 Iter 155: T = 695.7305372388358 K, F = -1.6852670592371055e-8, relative_change = 3.1562460643750843e-13 Converged in 158 iterations to T = 695.7305372383663 K Iter 1: T = 963.5043614623098 K, F = -8315.565957127363, relative_change = 0.0364956385376902 Iter 2: T = 928.882640496362 K, F = -7056.145293120289, relative_change = 0.03593312324336806 Iter 3: T = 896.1010498716903 K, F = -5986.560849178833, relative_change = 0.03529142347536438 Iter 5: T = 835.9386921913268 K, F = -4306.8669244139555, relative_change = 0.033741049510635356 Iter 10: T = 715.7940957654162 K, F = -1882.4173264448816, relative_change = 0.02807830510397162 Iter 15: T = 635.6413174340794 K, F = -815.3311105826962, relative_change = 0.020196944712489378 Iter 20: T = 588.54320824525 K, F = -349.18714908138304, relative_change = 0.012159304990327052 Iter 25: T = 564.2450426615892 K, F = -148.0293742042038, relative_change = 0.006248656310886429 Iter 30: T = 552.8909776297527 K, F = -62.32542257286636, relative_change = 0.002892445664155187 Iter 35: T = 547.8871117123662 K, F = -26.144939755714244, relative_change = 0.0012665071946787241 Iter 40: T = 545.7453146122792 K, F = -10.948619877658649, relative_change = 0.0005403119425732417 Iter 45: T = 544.8406322084323 K, F = -4.58142150767717, relative_change = 0.00022788185756461622 Iter 50: T = 544.4606883675964 K, F = -1.916459289760482, relative_change = 9.564238179374071e-5 Iter 55: T = 544.3015102629706 K, F = -0.8015658231916696, relative_change = 4.0058470477577586e-5 Iter 60: T = 544.2348907662783 K, F = -0.33523835019382897, relative_change = 1.6763392470103856e-5 Iter 65: T = 544.2070210609248 K, F = -0.14020312281099506, relative_change = 7.012482371999835e-6 Iter 70: T = 544.1953641059871 K, F = -0.058635047385899364, relative_change = 2.933024318834947e-6 Iter 75: T = 544.1904887638256 K, F = -0.024521951760589855, relative_change = 1.226681852681615e-6 Iter 80: T = 544.188449791263 K, F = -0.010255386143138534, relative_change = 5.130228051056075e-7 Iter 85: T = 544.1875970604981 K, F = -0.004288927244067098, relative_change = 2.145539787266207e-7 Iter 90: T = 544.1872404368937 K, F = -0.0017936809933184195, relative_change = 8.972933614084603e-8 Iter 95: T = 544.1870912923961 K, F = -0.0007501388825823796, relative_change = 3.752593243931437e-8 Iter 100: T = 544.1870289183427 K, F = -0.00031371705161944985, relative_change = 1.5693802283219834e-8 Iter 105: T = 544.1870028327611 K, F = -0.000131200220068739, relative_change = 6.563337161747625e-9 Iter 110: T = 544.186991923458 K, F = -5.486949959024323e-5, relative_change = 2.744866280630063e-9 Iter 115: T = 544.1869873610569 K, F = -2.2947080198065795e-5, relative_change = 1.1479359144704726e-9 Iter 120: T = 544.1869854530062 K, F = -9.596742874790065e-6, relative_change = 4.800805111899573e-10 Iter 125: T = 544.1869846550367 K, F = -4.013472256425565e-6, relative_change = 2.0077539339145157e-10 Iter 130: T = 544.1869843213162 K, F = -1.6784821790516435e-6, relative_change = 8.396667505150725e-11 Iter 135: T = 544.1869841817503 K, F = -7.019609080949341e-7, relative_change = 3.51158470887895e-11 Iter 140: T = 544.1869841233823 K, F = -2.935687346827809e-7, relative_change = 1.4685881626103116e-11 Iter 145: T = 544.1869840989721 K, F = -1.2277403527161113e-7, relative_change = 6.141815309764644e-12 Iter 150: T = 544.1869840887634 K, F = -5.134578415222357e-8, relative_change = 2.5685913355254985e-12 Iter 155: T = 544.186984084494 K, F = -2.147347710756975e-8, relative_change = 1.0742184223080049e-12 Iter 160: T = 544.1869840827085 K, F = -8.980830634719439e-9, relative_change = 4.4926928541971236e-13 Converged in 165 iterations to T = 544.1869840819618 K Iter 1: T = 966.912587946821 K, F = -7538.998310571141, relative_change = 0.03308741205317907 Iter 2: T = 935.883361097577 K, F = -6391.307861964409, relative_change = 0.03209103618676904 Iter 3: T = 906.8818907153636 K, F = -5416.872005034291, relative_change = 0.030988338491456158 Iter 5: T = 854.8310653482696 K, F = -3887.437217612517, relative_change = 0.02846435969340756 Iter 10: T = 757.37190332612 K, F = -1684.7618130524456, relative_change = 0.02066879187949369 Iter 15: T = 699.6680658235839 K, F = -722.0043637525099, relative_change = 0.012568161979378743 Iter 20: T = 669.6976222961634 K, F = -306.2272345538435, relative_change = 0.006507937182833678 Iter 25: T = 655.6306208582622 K, F = -128.96954515016793, relative_change = 0.0030257656646304875 Iter 30: T = 649.4164212942342 K, F = -54.1092881706464, relative_change = 0.001327750346106684 Iter 35: T = 646.7536062634238 K, F = -22.66061057408813, relative_change = 0.0005669896191147797 Iter 40: T = 645.6282980185207 K, F = -9.482538159198524, relative_change = 0.00023923363530581088 Iter 45: T = 645.1555979185051 K, F = -3.9666975278521783, relative_change = 0.00010042456792045959 Iter 50: T = 644.9575419211366 K, F = -1.659093418268818, relative_change = 4.206456237556361e-5 Iter 55: T = 644.8746481054031 K, F = -0.6938830034406238, relative_change = 1.7603438863192874e-5 Iter 60: T = 644.839969636706 K, F = -0.29019546501144383, relative_change = 7.363988055403054e-6 Iter 65: T = 644.8254647120405 K, F = -0.12136413739932295, relative_change = 3.0800611379860293e-6 Iter 70: T = 644.819398233823 K, F = -0.050756094016764564, relative_change = 1.2881801699170487e-6 Iter 75: T = 644.8168610997498 K, F = -0.021226833068918205, relative_change = 5.387431439586243e-7 Iter 80: T = 644.8158000294103 K, F = -0.0088773200553382, relative_change = 2.2531070791682192e-7 Iter 85: T = 644.8153562752738 K, F = -0.003712602132883158, relative_change = 9.422795959780781e-8 Iter 90: T = 644.8151706916709 K, F = -0.0015526547000757063, relative_change = 3.940731583562903e-8 Iter 95: T = 644.8150930783354 K, F = -0.0006493387641354764, relative_change = 1.64806202082479e-8 Iter 100: T = 644.8150606195018 K, F = -0.0002715612298772596, relative_change = 6.892393943943152e-9 Iter 105: T = 644.8150470448281 K, F = -0.00011357014974328061, relative_change = 2.8824817560059002e-9 Iter 110: T = 644.8150413677372 K, F = -4.749639280682283e-5, relative_change = 1.2054883416988184e-9 Iter 115: T = 644.81503899351 K, F = -1.9863559894084393e-5, relative_change = 5.041496602512758e-10 Iter 120: T = 644.8150380005798 K, F = -8.307176630140134e-6, relative_change = 2.1084137630756967e-10 Iter 125: T = 644.8150375853245 K, F = -3.4741601576127046e-6, relative_change = 8.817637375521949e-11 Iter 130: T = 644.8150374116598 K, F = -1.4529358562387351e-6, relative_change = 3.6876427526121235e-11 Iter 135: T = 644.815037339031 K, F = -6.076341278471453e-7, relative_change = 1.5422137043252556e-11 Iter 140: T = 644.8150373086569 K, F = -2.5411931453556136e-7, relative_change = 6.449708328380166e-12 Iter 145: T = 644.8150372959541 K, F = -1.0627591084944044e-7, relative_change = 2.69734958410724e-12 Iter 150: T = 644.8150372906416 K, F = -4.444515777635161e-8, relative_change = 1.1280461102625907e-12 Iter 155: T = 644.8150372884198 K, F = -1.8587330119501644e-8, relative_change = 4.717581507376446e-13 Converged in 160 iterations to T = 644.8150372874907 K Iter 1: T = 965.1694565282435 K, F = -7936.17246244007, relative_change = 0.03483054347175656 Iter 2: T = 932.3127782768918 K, F = -6731.189947767975, relative_change = 0.03404239331146947 Iter 3: T = 901.4004947079577 K, F = -5707.9494627061395, relative_change = 0.03315655892442709 Iter 5: T = 845.2961275604737 K, F = -4101.400266497419, relative_change = 0.031073011075465982 Iter 10: T = 736.9078201596801 K, F = -1784.7736137861298, relative_change = 0.02409109282875479 Iter 15: T = 669.1077413538643 K, F = -768.5103375715122, relative_change = 0.015786378714611974 Iter 20: T = 631.9995089155734 K, F = -327.2499419786469, relative_change = 0.008691355724352062 Iter 25: T = 613.9259684986025 K, F = -138.16524209832488, relative_change = 0.004196217609543832 Iter 30: T = 605.7754583600148 K, F = -58.040800377659835, relative_change = 0.0018769202529560196 Iter 35: T = 602.24809284583 K, F = -24.321219536532844, relative_change = 0.0008085349692041368 Iter 40: T = 600.7508199725822 K, F = -10.180008055166862, relative_change = 0.00034244823634312863 Iter 45: T = 600.1206751585376 K, F = -4.258918336883843, relative_change = 0.0001439838133361399 Iter 50: T = 599.8564392638262 K, F = -1.7813971020095272, relative_change = 6.035111134001583e-5 Iter 55: T = 599.745809323686 K, F = -0.7450482576498618, relative_change = 2.5263308519576167e-5 Iter 60: T = 599.6995209472349 K, F = -0.3115962560703542, relative_change = 1.0569577501503758e-5 Iter 65: T = 599.680158811878 K, F = -0.13031470614631158, relative_change = 4.421051577438029e-6 Iter 70: T = 599.6720606736657 K, F = -0.05449941663846136, relative_change = 1.8490639335805347e-6 Iter 75: T = 599.6686738197567 K, F = -0.022792350665311545, relative_change = 7.73322898006773e-7 Iter 80: T = 599.6672573767503 K, F = -0.009532040898556415, relative_change = 3.2341676797675964e-7 Iter 85: T = 599.6666649998268 K, F = -0.00398641467874733, relative_change = 1.3525743631187734e-7 Iter 90: T = 599.6664172601035 K, F = -0.0016671664599949287, relative_change = 5.656639436239225e-8 Iter 95: T = 599.6663136522842 K, F = -0.0006972289650451491, relative_change = 2.3656762528623232e-8 Iter 100: T = 599.6662703222378 K, F = -0.0002915894866017399, relative_change = 9.893544243309105e-9 Iter 105: T = 599.6662522010917 K, F = -0.00012194620713618098, relative_change = 4.1375990034550655e-9 Iter 110: T = 599.6662446226113 K, F = -5.0999360594439214e-5, relative_change = 1.7303934351405503e-9 Iter 115: T = 599.6662414532002 K, F = -2.1328541209286733e-5, relative_change = 7.2367120270097e-10 Iter 120: T = 599.6662401277147 K, F = -8.919850798205786e-6, relative_change = 3.0264794763223096e-10 Iter 125: T = 599.6662395733807 K, F = -3.7303881613159895e-6, relative_change = 1.2657098772209214e-10 Iter 130: T = 599.6662393415518 K, F = -1.5600928832681937e-6, relative_change = 5.293349887408085e-11 Iter 135: T = 599.666239244598 K, F = -6.524498308846383e-7, relative_change = 2.2137433473038554e-11 Iter 140: T = 599.6662392040508 K, F = -2.7286202269882764e-7, relative_change = 9.258129270366225e-12 Iter 145: T = 599.6662391870935 K, F = -1.1411446121378788e-7, relative_change = 3.871870563840888e-12 Iter 150: T = 599.6662391800018 K, F = -4.772365563843195e-8, relative_change = 1.6192497910457792e-12 Iter 155: T = 599.6662391770359 K, F = -1.995856507841509e-8, relative_change = 6.771883230909191e-13 Iter 160: T = 599.6662391757956 K, F = -8.347185054269346e-9, relative_change = 2.8321756735904465e-13 Converged in 162 iterations to T = 599.6662391755331 K Iter 1: T = 980.1218058162531 K, F = -4529.265453810982, relative_change = 0.019878194183746912 Iter 2: T = 962.2881973553995 K, F = -3825.903134707548, relative_change = 0.018195298130319254 Iter 3: T = 946.3784166200788 K, F = -3230.2617820695436, relative_change = 0.016533280548430843 Iter 5: T = 919.8075585486332 K, F = -2299.5800071712197, relative_change = 0.013360727024148119 Iter 10: T = 877.6126402144522 K, F = -976.2727838357457, relative_change = 0.007021726046872584 Iter 15: T = 857.6333648247032 K, F = -411.40106100384673, relative_change = 0.0032934236888902614 Iter 20: T = 848.7653826073076 K, F = -172.6534624915008, relative_change = 0.0014515040344729058 Iter 25: T = 844.9568682143316 K, F = -72.31557185145275, relative_change = 0.0006210552312633677 Iter 30: T = 843.3457891201261 K, F = -30.262819503883783, relative_change = 0.0002622685895717086 Iter 35: T = 842.6687472732488 K, F = -12.659725904878862, relative_change = 0.00011013376731504414 Iter 40: T = 842.3850234951666 K, F = -5.295054646007321, relative_change = 4.613842140408162e-5 Iter 45: T = 842.266265572721 K, F = -2.2145612469514524, relative_change = 1.9309519789650796e-5 Iter 50: T = 842.2165818554573 K, F = -0.9261745391102714, relative_change = 8.077902138724469e-6 Iter 55: T = 842.19580042755 K, F = -0.38734050321872737, relative_change = 3.3787004048235385e-6 Iter 60: T = 842.1871088431797 K, F = -0.1619909927499923, relative_change = 1.4130872514978191e-6 Iter 65: T = 842.1834738238088 K, F = -0.06774666717056643, relative_change = 5.909829765634211e-7 Iter 70: T = 842.1819535986825 K, F = -0.028332482661463265, relative_change = 2.4715841450248357e-7 Iter 75: T = 842.1813178194736 K, F = -0.0118489856495958, relative_change = 1.0336499868694202e-7 Iter 80: T = 842.1810519285075 K, F = -0.004955387837078495, relative_change = 4.3228546509609124e-8 Iter 85: T = 842.1809407296412 K, F = -0.002072402465975065, relative_change = 1.8078706582170388e-8 Iter 90: T = 842.1808942249318 K, F = -0.0008667034782834371, relative_change = 7.56073313677612e-9 Iter 95: T = 842.1808747761041 K, F = -0.0003624657487015792, relative_change = 3.1619892698639606e-9 Iter 100: T = 842.1808666423717 K, F = -0.00015158750309729463, relative_change = 1.3223817201963586e-9 Iter 105: T = 842.1808632407476 K, F = -6.33957067779356e-5, relative_change = 5.53035861673106e-10 Iter 110: T = 842.1808618181478 K, F = -2.651284106747198e-5, relative_change = 2.3128619851875389e-10 Iter 115: T = 842.1808612231995 K, F = -1.108798567672764e-5, relative_change = 9.672664119625061e-11 Iter 120: T = 842.180860974385 K, F = -4.637128152129577e-6, relative_change = 4.0452237643527426e-11 Iter 125: T = 842.1808608703279 K, F = -1.939304805409492e-6, relative_change = 1.6917630120224957e-11 Iter 130: T = 842.18086082681 K, F = -8.110416713780211e-7, relative_change = 7.075165788052045e-12 Iter 135: T = 842.1808608086103 K, F = -3.391885736725442e-7, relative_change = 2.9589298270156825e-12 Iter 140: T = 842.180860800999 K, F = -1.418549648857237e-7, relative_change = 1.2374794415507392e-12 Iter 145: T = 842.1808607978157 K, F = -5.932682323184224e-8, relative_change = 5.17540744114127e-13 Converged in 150 iterations to T = 842.1808607964846 K Iter 1: T = 976.3674851851732 K, F = -5384.690980883403, relative_change = 0.02363251481482673 Iter 2: T = 954.8980123405271 K, F = -4553.198808981355, relative_change = 0.021989131316242458 Iter 3: T = 935.5005250602245 K, F = -3848.3623444776176, relative_change = 0.02031367437110681 Iter 5: T = 902.5027581971425 K, F = -2745.3038962757983, relative_change = 0.01695956341052872 Iter 10: T = 848.1184697698292 K, F = -1170.764080958458, relative_change = 0.009556114446393142 Iter 15: T = 821.2440363319153 K, F = -494.79266580207684, relative_change = 0.00468475958540263 Iter 20: T = 809.0207396974301 K, F = -207.9647931395776, relative_change = 0.002112437942176899 Iter 25: T = 803.708297011993 K, F = -87.1666770390994, relative_change = 0.0009134266476696652 Iter 30: T = 801.4489803006987 K, F = -36.4889249338114, relative_change = 0.0003875144932513877 Iter 35: T = 800.4973314451207 K, F = -15.266261059932978, relative_change = 0.00016304716377687578 Iter 40: T = 800.0981401830179 K, F = -6.3856150415710475, relative_change = 6.836190734029939e-5 Iter 45: T = 799.9309825521065 K, F = -2.670730180019727, relative_change = 2.8620248897890817e-5 Iter 50: T = 799.8610382331813 K, F = -1.1169644665020373, relative_change = 1.1974669718694682e-5 Iter 55: T = 799.8317802059748 K, F = -0.4671336898277991, relative_change = 5.008884438128995e-6 Iter 60: T = 799.8195430161741 K, F = -0.19536190424221556, relative_change = 2.0949387898162616e-6 Iter 65: T = 799.8144250789899 K, F = -0.08170285923759368, relative_change = 8.761570200918369e-7 Iter 70: T = 799.8122846618592 K, F = -0.034169142558249876, relative_change = 3.664243315606404e-7 Iter 75: T = 799.8113895077877 K, F = -0.014289948918497775, relative_change = 1.5324390637902508e-7 Iter 80: T = 799.8110151426039 K, F = -0.005976228244417459, relative_change = 6.408858476659352e-8 Iter 85: T = 799.8108585784275 K, F = -0.0024993301874365326, relative_change = 2.6802638272213618e-8 Iter 90: T = 799.8107931013868 K, F = -0.0010452497617279288, relative_change = 1.120918809707228e-8 Iter 95: T = 799.8107657181008 K, F = -0.0004371359390001883, relative_change = 4.687817153760872e-9 Iter 100: T = 799.8107542660824 K, F = -0.00018281546866893983, relative_change = 1.9605012353465467e-9 Iter 105: T = 799.8107494767115 K, F = -7.645561185942729e-5, relative_change = 8.19905048869661e-10 Iter 110: T = 799.8107474737394 K, F = -3.1974651004795795e-5, relative_change = 3.428940985453294e-10 Iter 115: T = 799.8107466360725 K, F = -1.3372180157067426e-5, relative_change = 1.434023996921958e-10 Iter 120: T = 799.8107462857503 K, F = -5.592406791765647e-6, relative_change = 5.997261076704392e-11 Iter 125: T = 799.8107461392412 K, F = -2.3388109872124474e-6, relative_change = 2.5081258631371308e-11 Iter 130: T = 799.8107460779695 K, F = -9.781188887725278e-7, relative_change = 1.0489284069817423e-11 Iter 135: T = 799.8107460523449 K, F = -4.090631995357086e-7, relative_change = 4.386767449586434e-12 Iter 140: T = 799.8107460416284 K, F = -1.7107477490174716e-7, relative_change = 1.834594886276677e-12 Iter 145: T = 799.8107460371465 K, F = -7.154367953621232e-8, relative_change = 7.67229819249722e-13 Iter 150: T = 799.8107460352722 K, F = -2.9919802968514375e-8, relative_change = 3.2085804326233597e-13 Converged in 153 iterations to T = 799.8107460347235 K Iter 1: T = 980.7830410528848 K, F = -4378.602376147371, relative_change = 0.019216958947115278 Iter 2: T = 963.5806458155482 K, F = -3697.96015077867, relative_change = 0.017539450130448362 Iter 3: T = 948.2674818406666 K, F = -3121.669571830149, relative_change = 0.01589193809711796 Iter 5: T = 922.7721059405936 K, F = -2221.4947933324465, relative_change = 0.012772413679819496 Iter 10: T = 882.5261477936263 K, F = -942.4473868959667, relative_change = 0.006638982156478551 Iter 15: T = 863.5936837197842 K, F = -396.97621884885683, relative_change = 0.003093607343131202 Iter 20: T = 855.2200238444407 K, F = -166.56391995821664, relative_change = 0.001359019170218363 Iter 25: T = 851.6298270203137 K, F = -69.75817130692087, relative_change = 0.0005806309244451198 Iter 30: T = 850.1122255052194 K, F = -29.191357562020183, relative_change = 0.00024504200326357436 Iter 35: T = 849.4746691498816 K, F = -12.211286341434294, relative_change = 0.00010287214506749748 Iter 40: T = 849.2075281325828 K, F = -5.107451826726301, relative_change = 4.3091421986265326e-5 Iter 45: T = 849.0957175325527 K, F = -2.1360929824011183, relative_change = 1.8033454868214314e-5 Iter 50: T = 849.0489414095417 K, F = -0.8933563311403165, relative_change = 7.543925908086255e-6 Iter 55: T = 849.0293763471019 K, F = -0.37361521430955935, relative_change = 3.15533080186317e-6 Iter 60: T = 849.02119352688 K, F = -0.1562508566131957, relative_change = 1.3196619046538331e-6 Iter 65: T = 849.0177712902245 K, F = -0.0653460638206329, relative_change = 5.519097170540176e-7 Iter 70: T = 849.0163400553776 K, F = -0.027328519945882146, relative_change = 2.3081721974429108e-7 Iter 75: T = 849.0157414933173 K, F = -0.011429116150057705, relative_change = 9.653086498524036e-8 Iter 80: T = 849.0154911670685 K, F = -0.004779793343655525, relative_change = 4.037042126300008e-8 Iter 85: T = 849.0153864775638 K, F = -0.001998966743810504, relative_change = 1.6883402924551208e-8 Iter 90: T = 849.0153426951489 K, F = -0.0008359917794220628, relative_change = 7.060842589228274e-9 Iter 95: T = 849.0153243848177 K, F = -0.0003496217489367126, relative_change = 2.952929023070185e-9 Iter 100: T = 849.0153167272181 K, F = -0.00014621599023989518, relative_change = 1.234950231417863e-9 Iter 105: T = 849.0153135247184 K, F = -6.114927284261995e-5, relative_change = 5.164709405611625e-10 Iter 110: T = 849.0153121853948 K, F = -2.5573355681762777e-5, relative_change = 2.159943127281749e-10 Iter 115: T = 849.0153116252736 K, F = -1.0695084059930693e-5, relative_change = 9.033141239256884e-11 Iter 120: T = 849.0153113910244 K, F = -4.472812701106221e-6, relative_change = 3.7777682431019335e-11 Iter 125: T = 849.0153112930584 K, F = -1.8705828341847308e-6, relative_change = 1.5799070748500914e-11 Iter 130: T = 849.0153112520878 K, F = -7.82297987056424e-7, relative_change = 6.60734238595793e-12 Iter 135: T = 849.0153112349535 K, F = -3.271649728908699e-7, relative_change = 2.7632577720469386e-12 Iter 140: T = 849.0153112277878 K, F = -1.3682500688005916e-7, relative_change = 1.1556333807562191e-12 Iter 145: T = 849.015311224791 K, F = -5.72233984641457e-8, relative_change = 4.833127432952462e-13 Converged in 150 iterations to T = 849.0153112235377 K Iter 1: T = 967.274269441064 K, F = -7456.588838059944, relative_change = 0.03272573055893604 Iter 2: T = 936.6216371569923 K, F = -6320.824770697846, relative_change = 0.031689700897124265 Iter 3: T = 908.0108686208389 K, F = -5356.5517894826535, relative_change = 0.030546772998964734 Iter 5: T = 856.7774366184872 K, F = -3843.1832807410315, relative_change = 0.027945166309867216 Iter 10: T = 761.4328769975982 K, F = -1664.2638038957339, relative_change = 0.02003690690653198 Iter 15: T = 705.5507798883108 K, F = -712.6129606050914, relative_change = 0.012022708637859994 Iter 20: T = 676.785228353225 K, F = -302.04556450367664, relative_change = 0.006162965340018187 Iter 25: T = 663.3633020812279 K, F = -127.15938917212627, relative_change = 0.002848655226456767 Iter 30: T = 657.4526937870085 K, F = -53.33969333122512, relative_change = 0.0012464516314367041 Iter 35: T = 654.9237032710878 K, F = -22.336396082396476, relative_change = 0.0005315874618327971 Iter 40: T = 653.8556430791386 K, F = -9.346521904224465, relative_change = 0.00022417160894264924 Iter 45: T = 653.4071152533535 K, F = -3.909738432502057, relative_change = 9.407974275106275e-5 Iter 50: T = 653.2192091793206 K, F = -1.6352591707717004, relative_change = 3.940302275937232e-5 Iter 55: T = 653.1405673526633 K, F = -0.6839129095387138, relative_change = 1.6488937148197943e-5 Iter 60: T = 653.1076683732363 K, F = -0.28602544529106866, relative_change = 6.8976424610234285e-6 Iter 65: T = 653.0939078722191 K, F = -0.11962011407077983, relative_change = 2.8849864984412617e-6 Iter 70: T = 653.088152759351 K, F = -0.05002671016267307, relative_change = 1.2065900434314424e-6 Iter 75: T = 653.0857458487184 K, F = -0.020921793848994008, relative_change = 5.046198523356663e-7 Iter 80: T = 653.0847392405548 K, F = -0.008749748630685172, relative_change = 2.1103970789632617e-7 Iter 85: T = 653.0843182633565 K, F = -0.003659250172816486, relative_change = 8.825961638207799e-8 Iter 90: T = 653.0841422053774 K, F = -0.0015303422626753993, relative_change = 3.691127635826965e-8 Iter 95: T = 653.0840685757777 K, F = -0.0006400074346634699, relative_change = 1.5436745457965568e-8 Iter 100: T = 653.084037782991 K, F = -0.00026765875688289364, relative_change = 6.45583285962743e-9 Iter 105: T = 653.0840249050783 K, F = -0.00011193808941994954, relative_change = 2.6999066728866208e-9 Iter 110: T = 653.0840195193812 K, F = -4.6813845716087155e-5, relative_change = 1.1291332561576208e-9 Iter 115: T = 653.0840172670183 K, F = -1.9578110383444702e-5, relative_change = 4.722170450110834e-10 Iter 120: T = 653.0840163250532 K, F = -8.187799238223992e-6, relative_change = 1.974868009344907e-10 Iter 125: T = 653.0840159311123 K, F = -3.424236700078076e-6, relative_change = 8.259136964741337e-11 Iter 130: T = 653.0840157663614 K, F = -1.4320570884684969e-6, relative_change = 3.45407069812837e-11 Iter 135: T = 653.0840156974605 K, F = -5.989022398011912e-7, relative_change = 1.4445308746679352e-11 Iter 140: T = 653.0840156686454 K, F = -2.504682405368719e-7, relative_change = 6.041204767832792e-12 Iter 145: T = 653.0840156565946 K, F = -1.0474953376915508e-7, relative_change = 2.526521452514923e-12 Iter 150: T = 653.0840156515548 K, F = -4.380716256413564e-8, relative_change = 1.056613161067405e-12 Iter 155: T = 653.084015649447 K, F = -1.8319668171340453e-8, relative_change = 4.4186387256157446e-13 Converged in 159 iterations to T = 653.0840156486862 K Iter 1: T = 973.5189357867595 K, F = -6033.735670982002, relative_change = 0.026481064213240556 Iter 2: T = 949.2309013934029 K, F = -5106.007357102308, relative_change = 0.02494870258864349 Iter 3: T = 927.0684401942437 K, F = -4319.109770328858, relative_change = 0.023347808385321397 Iter 5: T = 888.7978449719518 K, F = -3086.316233259996, relative_change = 0.020018451775973063 Iter 10: T = 823.6400631848531 K, F = -1321.4832925284902, relative_change = 0.012007143722540987 Iter 15: T = 790.1081022924847 K, F = -560.109053089767, relative_change = 0.006153268838303325 Iter 20: T = 774.4647078129437 K, F = -235.80011234396605, relative_change = 0.0028437173500410894 Iter 25: T = 767.5764206733907 K, F = -98.91083145399863, relative_change = 0.0012441937553350948 Iter 30: T = 764.6292252766987 K, F = -41.41955561079221, relative_change = 0.0005306059364399072 Iter 35: T = 763.3845678288828 K, F = -17.331730496055478, relative_change = 0.0002237543210303714 Iter 40: T = 762.8618825708184 K, F = -7.250023574294943, relative_change = 9.390401634426813e-5 Iter 45: T = 762.6429097029229 K, F = -3.032342350445062, relative_change = 3.932931833231709e-5 Iter 50: T = 762.5512660263786 K, F = -1.2682136030459703, relative_change = 1.6458075606983928e-5 Iter 55: T = 762.5129278813783 K, F = -0.5303911421277356, relative_change = 6.884729233626584e-6 Iter 60: T = 762.4968923699505 K, F = -0.22181749609487422, relative_change = 2.8795848841045215e-6 Iter 65: T = 762.4901857704548 K, F = -0.09276700337386734, relative_change = 1.2043308229133614e-6 Iter 70: T = 762.4873809279871 K, F = -0.03879631720442778, relative_change = 5.036749841991073e-7 Iter 75: T = 762.4862078984448 K, F = -0.016225091664262004, relative_change = 2.10644546592498e-7 Iter 80: T = 762.4857173215705 K, F = -0.006785528583736156, relative_change = 8.80943541028805e-8 Iter 85: T = 762.4855121561288 K, F = -0.0028377893492924633, relative_change = 3.6842161519501905e-8 Iter 90: T = 762.4854263534324 K, F = -0.0011867974421556626, relative_change = 1.540784078715084e-8 Iter 95: T = 762.4853904697097 K, F = -0.00049633286900852, relative_change = 6.443744538896733e-9 Iter 100: T = 762.4853754627067 K, F = -0.00020757233337442837, relative_change = 2.6948511744118705e-9 Iter 105: T = 762.4853691865985 K, F = -8.680922963355542e-5, relative_change = 1.1270190000409694e-9 Iter 110: T = 762.4853665618551 K, F = -3.630465633763791e-5, relative_change = 4.713328101838566e-10 Iter 115: T = 762.4853654641561 K, F = -1.5183042892497056e-5, relative_change = 1.971170379953557e-10 Iter 120: T = 762.4853650050852 K, F = -6.3497298964376725e-6, relative_change = 8.243670005455923e-11 Iter 125: T = 762.4853648130962 K, F = -2.6555321828158895e-6, relative_change = 3.4476003526587734e-11 Iter 130: T = 762.4853647328041 K, F = -1.1105740237438155e-6, relative_change = 1.441826019887464e-11 Iter 135: T = 762.4853646992251 K, F = -4.6445571699749166e-7, relative_change = 6.0298937637259435e-12 Iter 140: T = 762.4853646851819 K, F = -1.9424088459896183e-7, relative_change = 2.5217730258080195e-12 Iter 145: T = 762.4853646793089 K, F = -8.123269557014368e-8, relative_change = 1.0546205086170117e-12 Iter 150: T = 762.4853646768527 K, F = -3.3972042623453547e-8, relative_change = 4.4104916892629847e-13 Converged in 154 iterations to T = 762.4853646759661 K Iter 1: T = 969.9018103941038 K, F = -6857.901132473126, relative_change = 0.030098189605896254 Iter 2: T = 941.9586754211983 K, F = -5809.182178414751, relative_change = 0.028810272002225863 Iter 3: T = 916.1284164900867 K, F = -4919.108911126278, relative_change = 0.027421860008414498 Iter 5: T = 870.6039468286601 K, F = -3523.0946144091704, relative_change = 0.024382961369182617 Iter 10: T = 789.2806925679088 K, F = -1517.6541677955881, relative_change = 0.016083609653646167 Iter 15: T = 744.5558827503421 K, F = -646.4967996974174, relative_change = 0.00890682055524919 Iter 20: T = 722.6936263412402 K, F = -273.0194467756587, relative_change = 0.004316583509688612 Iter 25: T = 712.8137223744428 K, F = -114.70576832558022, relative_change = 0.001934598905659769 Iter 30: T = 708.5334637663894 K, F = -48.0688614330229, relative_change = 0.000834150795497445 Iter 35: T = 706.7157559788151 K, F = -20.12047774752201, relative_change = 0.00035344032740403173 Iter 40: T = 705.9505974329899 K, F = -8.417719792993012, relative_change = 0.0001486310836660061 Iter 45: T = 705.6297192589359 K, F = -3.5209349114266484, relative_change = 6.230354935154099e-5 Iter 50: T = 705.4953695495198 K, F = -1.4725923545198718, relative_change = 2.608140483429034e-5 Iter 55: T = 705.4391557966467 K, F = -0.6158723952367324, relative_change = 1.0911989171037844e-5 Iter 60: T = 705.4156417899605 K, F = -0.25756811013296665, relative_change = 4.564300195672764e-6 Iter 65: T = 705.4058071215356 K, F = -0.10771857032643073, relative_change = 1.9089806093202205e-6 Iter 70: T = 705.4016940005582 K, F = -0.04504928185458268, relative_change = 7.983822354970437e-7 Iter 75: T = 705.3999738188489 K, F = -0.0188401632908356, relative_change = 3.3389713900724546e-7 Iter 80: T = 705.3992544138732 K, F = -0.007879184018429686, relative_change = 1.3964049755277344e-7 Iter 85: T = 705.398953549344 K, F = -0.0032951693307721186, relative_change = 5.839945078035015e-8 Iter 90: T = 705.398827724069 K, F = -0.0013780792500642791, relative_change = 2.442336997128641e-8 Iter 95: T = 705.3987751024125 K, F = -0.0005763292144064236, relative_change = 1.0214148879625249e-8 Iter 100: T = 705.3987530954032 K, F = -0.00024102776268375425, relative_change = 4.271679721100818e-9 Iter 105: T = 705.3987438918084 K, F = -0.00010080068957507571, relative_change = 1.786467598108068e-9 Iter 110: T = 705.398740042755 K, F = -4.215605237389841e-5, relative_change = 7.471221070421562e-10 Iter 115: T = 705.3987384330349 K, F = -1.7630164111603897e-5, relative_change = 3.1245538327082617e-10 Iter 120: T = 705.3987377598307 K, F = -7.373146260980512e-6, relative_change = 1.3067259253917984e-10 Iter 125: T = 705.3987374782886 K, F = -3.0835376236826306e-6, relative_change = 5.464883537937779e-11 Iter 130: T = 705.3987373605444 K, F = -1.289571745943796e-6, relative_change = 2.285478651816169e-11 Iter 135: T = 705.3987373113024 K, F = -5.393154244304199e-7, relative_change = 9.55816451017598e-12 Iter 140: T = 705.3987372907087 K, F = -2.2554822154408072e-7, relative_change = 3.997339792520122e-12 Iter 145: T = 705.3987372820962 K, F = -9.432739056514095e-8, relative_change = 1.6717428728599042e-12 Iter 150: T = 705.3987372784944 K, F = -3.94489106936291e-8, relative_change = 6.991440651612394e-13 Iter 155: T = 705.3987372769881 K, F = -1.6497893828848476e-8, relative_change = 2.923884172061486e-13 Converged in 157 iterations to T = 705.3987372766693 K Iter 1: T = 973.5428822041688 K, F = -6028.2794569963635, relative_change = 0.026457117795831226 Iter 2: T = 949.2787604418846 K, F = -5101.356643255811, relative_change = 0.02492352643711853 Iter 3: T = 927.1399867561853 K, F = -4315.145983475713, relative_change = 0.023321678107907782 Iter 5: T = 888.91525974008 K, F = -3083.438904407501, relative_change = 0.019991429826946076 Iter 10: T = 823.8545114523357 K, F = -1320.2034664629466, relative_change = 0.011984147442314783 Iter 15: T = 790.3851436527171 K, F = -559.5511654255943, relative_change = 0.006138882435728888 Iter 20: T = 774.7748044895344 K, F = -235.5614695096197, relative_change = 0.002836378136205843 Iter 25: T = 767.9019698584403 K, F = -98.80995051677151, relative_change = 0.0012408353781683437 Iter 30: T = 764.9615652556198 K, F = -41.37716471949966, relative_change = 0.0005291455636218286 Iter 35: T = 763.7198089608574 K, F = -17.31396589997453, relative_change = 0.0002231333757353065 Iter 40: T = 763.1983479893544 K, F = -7.24258779638892, relative_change = 9.364251274858957e-5 Iter 45: T = 762.9798890768666 K, F = -3.0292314922071193, relative_change = 3.9219634185008265e-5 Iter 50: T = 762.8884606842773 K, F = -1.2669124074269282, relative_change = 1.6412148199108206e-5 Iter 55: T = 762.8502126334758 K, F = -0.5298469319993018, relative_change = 6.86551200266234e-6 Iter 60: T = 762.8342148109992 K, F = -0.2215898948687507, relative_change = 2.871546286518763e-6 Iter 65: T = 762.8275239753069 K, F = -0.09267181676440128, relative_change = 1.2009686841341536e-6 Iter 70: T = 762.8247257257708 K, F = -0.03875650884177817, relative_change = 5.02268844903706e-7 Iter 75: T = 762.8235554535274 K, F = -0.01620844329882387, relative_change = 2.100564731242715e-7 Iter 80: T = 762.8230660297983 K, F = -0.006778566035572475, relative_change = 8.784841317897822e-8 Iter 85: T = 762.8228613466173 K, F = -0.002834877528190116, relative_change = 3.673930581483776e-8 Iter 90: T = 762.8227757456085 K, F = -0.001185579683972593, relative_change = 1.536482525830786e-8 Iter 95: T = 762.8227399462342 K, F = -0.0004958235918550713, relative_change = 6.42575497289579e-9 Iter 100: T = 762.8227249745064 K, F = -0.00020735934851368043, relative_change = 2.6873277336715347e-9 Iter 105: T = 762.8227187131508 K, F = -8.672015655164511e-5, relative_change = 1.1238726035145107e-9 Iter 110: T = 762.822716094577 K, F = -3.6267405173706635e-5, relative_change = 4.700169529467533e-10 Iter 115: T = 762.8227149994582 K, F = -1.5167461902554358e-5, relative_change = 1.9656670340648613e-10 Iter 120: T = 762.8227145414664 K, F = -6.343213510673351e-6, relative_change = 8.220654057821156e-11 Iter 125: T = 762.8227143499289 K, F = -2.652809298675507e-6, relative_change = 3.437977850683865e-11 Iter 130: T = 762.8227142698255 K, F = -1.109437170243588e-6, relative_change = 1.4378042258198498e-11 Iter 135: T = 762.8227142363253 K, F = -4.639796078453884e-7, relative_change = 6.013065533466435e-12 Iter 140: T = 762.8227142223152 K, F = -1.9404151074819964e-7, relative_change = 2.5147318992359513e-12 Iter 145: T = 762.8227142164559 K, F = -8.115051786106164e-8, relative_change = 1.0516914402764464e-12 Iter 150: T = 762.8227142140056 K, F = -3.393936343076831e-8, relative_change = 4.398460903259777e-13 Converged in 154 iterations to T = 762.8227142131211 K Iter 1: T = 964.2582292994248 K, F = -8143.796453327264, relative_change = 0.035741770700575194 Iter 2: T = 930.4379888074484 K, F = -6908.987605126182, relative_change = 0.03507384169959149 Iter 3: T = 898.5081406070482 K, F = -5860.351532643104, relative_change = 0.034317008317045414 Iter 5: T = 840.2063716372646 K, F = -4213.708744753601, relative_change = 0.03251073463638531 Iter 10: T = 725.5605961396128 K, F = -1837.9332386248454, relative_change = 0.02617268006207861 Iter 15: T = 651.4003759135038 K, F = -793.7937484854165, relative_change = 0.017990005434811766 Iter 20: T = 609.3419729646484 K, F = -338.97223799758154, relative_change = 0.0103484813643974 Iter 25: T = 588.2828936598687 K, F = -143.39023359830261, relative_change = 0.005145488064343832 Iter 30: T = 578.6277070315724 K, F = -60.29839061719288, relative_change = 0.0023380248202315313 Iter 35: T = 574.414421601942 K, F = -25.27962437963744, relative_change = 0.0010146336316443241 Iter 40: T = 572.619256749717 K, F = -10.58345078927186, relative_change = 0.0004311381787722419 Iter 45: T = 571.8625078137958 K, F = -4.4281126450394925, relative_change = 0.0001815257844338768 Iter 50: T = 571.5449637554755 K, F = -1.8522391198432502, relative_change = 7.613151499014259e-5 Iter 55: T = 571.411976065576 K, F = -0.7746897990894093, relative_change = 3.187691562205707e-5 Iter 60: T = 571.3563262412351 K, F = -0.323995254113407, relative_change = 1.33379307984249e-5 Iter 65: T = 571.3330470800458 K, F = -0.13550056176010522, relative_change = 5.579241337499697e-6 Iter 70: T = 571.3233104524408 K, F = -0.056668281514477475, relative_change = 2.3335081976450865e-6 Iter 75: T = 571.3192383027966 K, F = -0.02369940952319713, relative_change = 9.759364775507488e-7 Iter 80: T = 571.3175352504517 K, F = -0.00991138613714651, relative_change = 4.081544960572631e-7 Iter 85: T = 571.3168230082471 K, F = -0.004145061805680972, relative_change = 1.7069617008547948e-7 Iter 90: T = 571.316525139111 K, F = -0.0017335146571080817, relative_change = 7.138736673234178e-8 Iter 95: T = 571.3164005665167 K, F = -0.0007249765857810231, relative_change = 2.9855082513854005e-8 Iter 100: T = 571.3163484687411 K, F = -0.00030319387519750496, relative_change = 1.2485757842454936e-8 Iter 105: T = 571.3163266808243 K, F = -0.00012679930095604863, relative_change = 5.221694048887388e-9 Iter 110: T = 571.3163175688563 K, F = -5.302898227438346e-5, relative_change = 2.183774990071177e-9 Iter 115: T = 571.3163137581224 K, F = -2.2177353940500133e-5, relative_change = 9.132808200724554e-10 Iter 120: T = 571.3163121644279 K, F = -9.2748348460292e-6, relative_change = 3.8194497456447474e-10 Iter 125: T = 571.3163114979259 K, F = -3.878846529303814e-6, relative_change = 1.5973394370867384e-10 Iter 130: T = 571.3163112191867 K, F = -1.6221798437854318e-6, relative_change = 6.680263900540283e-11 Iter 135: T = 571.3163111026146 K, F = -6.784136761806003e-7, relative_change = 2.793760761105844e-11 Iter 140: T = 571.3163110538628 K, F = -2.8372128546561015e-7, relative_change = 1.1683865207566073e-11 Iter 145: T = 571.3163110334742 K, F = -1.1865489174534005e-7, relative_change = 4.886301566452198e-12 Iter 150: T = 571.3163110249476 K, F = -4.962320215851079e-8, relative_change = 2.043522411002973e-12 Iter 155: T = 571.3163110213816 K, F = -2.075332683482145e-8, relative_change = 8.546382870580962e-13 Iter 160: T = 571.3163110198902 K, F = -8.67953409144917e-9, relative_change = 3.5743002591875657e-13 Converged in 163 iterations to T = 571.3163110194536 K Iter 1: T = 963.5137635589083 K, F = -8313.423680473703, relative_change = 0.03648623644109175 Iter 2: T = 928.9020626511729 K, F = -7054.309614885205, relative_change = 0.03592237310642143 Iter 3: T = 896.1311505706118 K, F = -5984.98608889327, relative_change = 0.035279189699536036 Iter 5: T = 835.9922412382726 K, F = -4305.703694351696, relative_change = 0.03372547033528829 Iter 10: T = 715.9181433409527 K, F = -1881.8595667293569, relative_change = 0.02805341215390966 Iter 15: T = 635.8447787282764 K, F = -815.0586452906745, relative_change = 0.020166847473105667 Iter 20: T = 588.8160608132317 K, F = -349.0563398930473, relative_change = 0.012133507688426894 Iter 25: T = 564.5639737964942 K, F = -147.96933358459347, relative_change = 0.006232429650690244 Iter 30: T = 553.2345923878341 K, F = -62.29901532093244, relative_change = 0.0028841414774588817 Iter 35: T = 548.2423417043528 K, F = -26.133629327893285, relative_change = 0.0012627013654574726 Iter 40: T = 546.1056638818604 K, F = -10.943839582482967, relative_change = 0.0005386558462165916 Iter 45: T = 545.203171244808 K, F = -4.57941328207204, relative_change = 0.00022717748004589194 Iter 50: T = 544.824151970321 K, F = -1.9156178219117643, relative_change = 9.53457040162472e-5 Iter 55: T = 544.6653620840948 K, F = -0.8012136291846433, relative_change = 3.993402634311937e-5 Iter 60: T = 544.5989052180622 K, F = -0.3350910089973241, relative_change = 1.6711283530589906e-5 Iter 65: T = 544.5711035746551 K, F = -0.14014149430450418, relative_change = 6.990678421652361e-6 Iter 70: T = 544.5594750924147 K, F = -0.05860927209281741, relative_change = 2.923903656686469e-6 Iter 75: T = 544.5546116593413 K, F = -0.024511171960817202, relative_change = 1.2228671347977305e-6 Iter 80: T = 544.5525776675579 K, F = -0.01025087785527809, relative_change = 5.114273836184011e-7 Iter 85: T = 544.5517270198592 K, F = -0.004287041816435494, relative_change = 2.1388674377295445e-7 Iter 90: T = 544.5513712674259 K, F = -0.0017928924843637895, relative_change = 8.94502886928702e-8 Iter 95: T = 544.5512224872635 K, F = -0.00074980911772074, relative_change = 3.740923110071485e-8 Iter 100: T = 544.5511602655798 K, F = -0.0003135791399633825, relative_change = 1.5644996332244658e-8 Iter 105: T = 544.5511342437211 K, F = -0.0001311425433602187, relative_change = 6.542925900243972e-9 Iter 110: T = 544.5511233610678 K, F = -5.4845378069851014e-5, relative_change = 2.736330024030042e-9 Iter 115: T = 544.5511188098119 K, F = -2.2936992277788892e-5, relative_change = 1.1443659490885717e-9 Iter 120: T = 544.5511169064223 K, F = -9.592523869866865e-6, relative_change = 4.78587503200969e-10 Iter 125: T = 544.5511161104021 K, F = -4.01170842398435e-6, relative_change = 2.0015102986585464e-10 Iter 130: T = 544.5511157774969 K, F = -1.6777442350957017e-6, relative_change = 8.37055443699828e-11 Iter 135: T = 544.5511156382719 K, F = -7.01652297568911e-7, relative_change = 3.5006639492099785e-11 Iter 140: T = 544.5511155800465 K, F = -2.934396513554205e-7, relative_change = 1.4640208730887685e-11 Iter 145: T = 544.5511155556959 K, F = -1.2272041624572516e-7, relative_change = 6.12273256685812e-12 Iter 150: T = 544.5511155455122 K, F = -5.1323469307806846e-8, relative_change = 2.5606161274243244e-12 Iter 155: T = 544.5511155412532 K, F = -2.1464343941124397e-8, relative_change = 1.0708930242545378e-12 Iter 160: T = 544.5511155394721 K, F = -8.977131149556783e-9, relative_change = 4.478845080193296e-13 Converged in 165 iterations to T = 544.5511155387271 K Iter 1: T = 969.3224244054883 K, F = -6989.914781117524, relative_change = 0.03067757559451175 Iter 2: T = 940.7857980425707 K, F = -5921.941039695845, relative_change = 0.029439767041828015 Iter 3: T = 914.3510371364823 K, F = -5015.451240947147, relative_change = 0.0280985968974972 Iter 5: T = 867.6012533959656 K, F = -3593.4668561490516, relative_change = 0.02513807473100817 Iter 10: T = 783.3730672989577 K, F = -1549.655116619644, relative_change = 0.016869689975200924 Iter 15: T = 736.4587735951817 K, F = -660.7902923288635, relative_change = 0.009488400547565492 Iter 20: T = 713.3020283050715 K, F = -279.2435543784411, relative_change = 0.004645949783631855 Iter 25: T = 702.7767996755748 K, F = -117.36299097985048, relative_change = 0.00209358533623398 Iter 30: T = 698.2039200479655 K, F = -49.1907102406726, relative_change = 0.0009050004269688556 Iter 35: T = 696.2594307830601 K, F = -20.591586755326148, relative_change = 0.00038388855057396905 Iter 40: T = 695.4404455292109 K, F = -8.615089243267605, relative_change = 0.0001615123418391244 Iter 45: T = 695.0969128726813 K, F = -3.6035382198772767, relative_change = 6.771676358622225e-5 Iter 50: T = 694.9530634876132 K, F = -1.507148760642596, relative_change = 2.8349868198973274e-5 Iter 55: T = 694.8928724170528 K, F = -0.6303261740633475, relative_change = 1.1861492674818592e-5 Iter 60: T = 694.8676942709851 K, F = -0.2636131815678859, relative_change = 4.961534833352573e-6 Iter 65: T = 694.8571635035098 K, F = -0.11024674886915176, relative_change = 2.075133537783332e-6 Iter 70: T = 694.8527592417887 K, F = -0.04610660636706321, relative_change = 8.67873688042749e-7 Iter 75: T = 694.8509172973789 K, F = -0.019282350787968028, relative_change = 3.629600488718102e-7 Iter 80: T = 694.8501469690592 K, F = -0.008064112416527158, relative_change = 1.5179508547857068e-7 Iter 85: T = 694.8498248076521 K, F = -0.0033725086486527944, relative_change = 6.348266767826798e-8 Iter 90: T = 694.8496900757461 K, F = -0.0014104234860069509, relative_change = 2.6549236024324236e-8 Iter 95: T = 694.8496337292264 K, F = -0.0005898559628956246, relative_change = 1.1103212177640959e-8 Iter 100: T = 694.849610164434 K, F = -0.00024668481016698607, relative_change = 4.64349672264572e-9 Iter 105: T = 694.8496003093557 K, F = -0.00010316653359043748, relative_change = 1.941965914474583e-9 Iter 110: T = 694.8495961878441 K, F = -4.314547761719023e-5, relative_change = 8.121533829481035e-10 Iter 115: T = 694.8495944641786 K, F = -1.804395460947017e-5, relative_change = 3.396522592922141e-10 Iter 120: T = 694.8495937433211 K, F = -7.5461969900603165e-6, relative_change = 1.4204662585732442e-10 Iter 125: T = 694.8495934418498 K, F = -3.155908351981651e-6, relative_change = 5.940557004149647e-11 Iter 130: T = 694.8495933157711 K, F = -1.319838936697515e-6, relative_change = 2.4844125912585545e-11 Iter 135: T = 694.8495932630434 K, F = -5.519727461766877e-7, relative_change = 1.0390116574069954e-11 Iter 140: T = 694.8495932409921 K, F = -2.3084241040915998e-7, relative_change = 4.345286196404185e-12 Iter 145: T = 694.8495932317699 K, F = -9.654008492621102e-8, relative_change = 1.8172323608669729e-12 Iter 150: T = 694.849593227913 K, F = -4.037383982691267e-8, relative_change = 7.599811863014487e-13 Iter 155: T = 694.8495932263 K, F = -1.6884560083418876e-8, relative_change = 3.1782827834876804e-13 Converged in 158 iterations to T = 694.8495932258278 K Iter 1: T = 966.4495378756101 K, F = -7644.504709770877, relative_change = 0.03355046212438998 Iter 2: T = 934.9368761508349 K, F = -6481.564790060969, relative_change = 0.03260662920284935 Iter 3: T = 905.4323290402838 K, F = -5494.13588249609, relative_change = 0.03155779589315413 Iter 5: T = 852.3233500511392 K, F = -3944.1643587801095, relative_change = 0.029139888961908618 Iter 10: T = 752.0836826157448 K, F = -1711.1273775162151, relative_change = 0.021514382527123944 Iter 15: T = 691.9226367225813 K, F = -734.1485716384087, relative_change = 0.013320685618099001 Iter 20: T = 660.2888394411539 K, F = -311.6627221341823, relative_change = 0.0069953104159098285 Iter 25: T = 645.3171277623983 K, F = -131.33058717247624, relative_change = 0.0032795251999591956 Iter 30: T = 638.6734636741706 K, F = -55.11491439086157, relative_change = 0.0014450468266739367 Iter 35: T = 635.8205626035602 K, F = -23.08461595223181, relative_change = 0.000618228081076339 Iter 40: T = 634.6137910598844 K, F = -9.660484516245225, relative_change = 0.0002610629408325359 Iter 45: T = 634.1066673803142 K, F = -4.04122721142747, relative_change = 0.0001096253870035219 Iter 50: T = 633.8941521983702 K, F = -1.6902820458031127, relative_change = 4.59250758660256e-5 Iter 55: T = 633.8052003299247 K, F = -0.7069298657434835, relative_change = 1.9220167129535653e-5 Iter 60: T = 633.7679863743614 K, F = -0.29565241494361816, relative_change = 8.040511189699912e-6 Iter 65: T = 633.7524207397256 K, F = -0.12364640336961402, relative_change = 3.3630591081185845e-6 Iter 70: T = 633.7459106006015 K, F = -0.051710583153862344, relative_change = 1.4065451824491593e-6 Iter 75: T = 633.7431879118603 K, F = -0.021626015017980227, relative_change = 5.882468841353394e-7 Iter 80: T = 633.7420492385274 K, F = -0.009044263273666031, relative_change = 2.460141268196401e-7 Iter 85: T = 633.7415730295747 K, F = -0.0037824198777403617, relative_change = 1.0288644020300438e-7 Iter 90: T = 633.7413738729248 K, F = -0.0015818533335986706, relative_change = 4.3028406993800024e-8 Iter 95: T = 633.741290583169 K, F = -0.0006615499841567396, relative_change = 1.799500571370088e-8 Iter 100: T = 633.7412557503869 K, F = -0.00027666810943910436, relative_change = 7.525728413892924e-9 Iter 105: T = 633.7412411828994 K, F = -0.00011570590824883098, relative_change = 3.147349864156442e-9 Iter 110: T = 633.7412350906019 K, F = -4.838959296715739e-5, relative_change = 1.3162593693551846e-9 Iter 115: T = 633.7412325427302 K, F = -2.023710636706033e-5, relative_change = 5.504754171464701e-10 Iter 120: T = 633.7412314771799 K, F = -8.463399374492031e-6, relative_change = 2.3021539018188099e-10 Iter 125: T = 633.741231031554 K, F = -3.5394947998090842e-6, relative_change = 9.627882876100452e-11 Iter 130: T = 633.7412308451879 K, F = -1.4802601557284412e-6, relative_change = 4.026498760849711e-11 Iter 135: T = 633.7412307672473 K, F = -6.190621555379749e-7, relative_change = 1.6839289998962984e-11 Iter 140: T = 633.7412307346517 K, F = -2.5889893073838266e-7, relative_change = 7.042385222860232e-12 Iter 145: T = 633.7412307210199 K, F = -1.0827560448234408e-7, relative_change = 2.945236254572766e-12 Iter 150: T = 633.7412307153188 K, F = -4.528203811915432e-8, relative_change = 1.2317299080693533e-12 Iter 155: T = 633.7412307129346 K, F = -1.893714918210776e-8, relative_change = 5.151149106895952e-13 Converged in 160 iterations to T = 633.7412307119374 K Iter 1: T = 966.4600346081005 K, F = -7642.11301928796, relative_change = 0.033539965391899546 Iter 2: T = 934.95834781115 K, F = -6479.518542235083, relative_change = 0.032594919260913284 Iter 3: T = 905.4652406967814 K, F = -5492.383943071354, relative_change = 0.031544835321718395 Iter 5: T = 852.3803954107275 K, F = -3942.8775518368184, relative_change = 0.029124439048002982 Iter 10: T = 752.2046961177956 K, F = -1710.5281459808532, relative_change = 0.021494739346886456 Iter 15: T = 692.100992487562 K, F = -733.8717133900544, relative_change = 0.013302902714097236 Iter 20: T = 660.5065254077291 K, F = -311.5384283581276, relative_change = 0.006983636929273526 Iter 25: T = 645.5563999478087 K, F = -131.2764856852391, relative_change = 0.003273398121358654 Iter 30: T = 638.9230337497629 K, F = -55.09184608835996, relative_change = 0.0014422033157201301 Iter 35: T = 636.0747014432266 K, F = -23.07488465506467, relative_change = 0.0006169837011738597 Iter 40: T = 634.8698899463127 K, F = -9.656399582979066, relative_change = 0.000260532377279908 Iter 45: T = 634.3635948880222 K, F = -4.039516147260642, relative_change = 0.00010940168570242228 Iter 50: T = 634.151427824138 K, F = -1.6895659837854453, relative_change = 4.5831201307605075e-5 Iter 55: T = 634.0626218205074 K, F = -0.706630316838045, relative_change = 1.918085148835169e-5 Iter 60: T = 634.0254689160339 K, F = -0.2955271254436218, relative_change = 8.024059077655531e-6 Iter 65: T = 634.009928822216 K, F = -0.12359400325505476, relative_change = 3.356176915984551e-6 Iter 70: T = 634.0034293660583 K, F = -0.05168866835406177, relative_change = 1.4036666661724813e-6 Iter 75: T = 634.0007111453219 K, F = -0.021616849908507707, relative_change = 5.870430015296319e-7 Iter 80: T = 633.9995743406079 K, F = -0.009040430302137081, relative_change = 2.45510639526751e-7 Iter 85: T = 633.9990989131418 K, F = -0.003780816881904625, relative_change = 1.0267587421942572e-7 Iter 90: T = 633.9989000833202 K, F = -0.0015811829404567823, relative_change = 4.294034548313007e-8 Iter 95: T = 633.9988169302482 K, F = -0.000661269617490301, relative_change = 1.7958177284209922e-8 Iter 100: T = 633.998782154629 K, F = -0.000276550856442237, relative_change = 7.510326308177781e-9 Iter 105: T = 633.9987676110477 K, F = -0.00011565687230596922, relative_change = 3.140908536107531e-9 Iter 110: T = 633.998761528748 K, F = -4.836908564614939e-5, relative_change = 1.3135655313837243e-9 Iter 115: T = 633.9987589850576 K, F = -2.0228530244803533e-5, relative_change = 5.493488295825512e-10 Iter 120: T = 633.9987579212558 K, F = -8.459813040206932e-6, relative_change = 2.297442460232551e-10 Iter 125: T = 633.9987574763612 K, F = -3.537994638258546e-6, relative_change = 9.60817821213654e-11 Iter 130: T = 633.9987572903009 K, F = -1.479631593526154e-6, relative_change = 4.018254834260594e-11 Iter 135: T = 633.9987572124883 K, F = -6.187991076767041e-7, relative_change = 1.6804808157585784e-11 Iter 140: T = 633.9987571799461 K, F = -2.587887975580294e-7, relative_change = 7.027961164465448e-12 Iter 145: T = 633.9987571663366 K, F = -1.0822869372928423e-7, relative_change = 2.9391807669627267e-12 Iter 150: T = 633.9987571606449 K, F = -4.5262103010035304e-8, relative_change = 1.2291888413420973e-12 Iter 155: T = 633.9987571582645 K, F = -1.8928256906303176e-8, relative_change = 5.140371442869486e-13 Converged in 160 iterations to T = 633.9987571572691 K Iter 1: T = 976.5154108093766 K, F = -5350.985986695076, relative_change = 0.023484589190623382 Iter 2: T = 955.1908844346688 K, F = -4524.5144342830345, relative_change = 0.0218373679909805 Iter 3: T = 935.9341257589642 K, F = -3823.9583198305368, relative_change = 0.020160115626628557 Iter 5: T = 903.2004314404635 K, F = -2727.663177809098, relative_change = 0.016808887011964754 Iter 10: T = 849.3364230713852 K, F = -1163.0163849779738, relative_change = 0.009442864973605514 Iter 15: T = 822.7693711350123 K, F = -491.4536426448111, relative_change = 0.0046199427515445255 Iter 20: T = 810.6995169017455 K, F = -206.5467157847156, relative_change = 0.0020809739577327792 Iter 25: T = 805.456725308523 K, F = -86.5694055694916, relative_change = 0.0008993682087127189 Iter 30: T = 803.2276022576482 K, F = -36.23836604539071, relative_change = 0.00038146574777014235 Iter 35: T = 802.2887757150239 K, F = -15.161336402495909, relative_change = 0.00016048694588136807 Iter 40: T = 801.8949816691159 K, F = -6.341709963476445, relative_change = 6.728577739933702e-5 Iter 45: T = 801.7300873503568 K, F = -2.6523642807421175, relative_change = 2.816924591810708e-5 Iter 50: T = 801.6610906517868 K, F = -1.109282879907184, relative_change = 1.178588788947446e-5 Iter 55: T = 801.6322291192282 K, F = -0.46392102763789556, relative_change = 4.929904386199625e-6 Iter 60: T = 801.6201577812125 K, F = -0.19401830763870898, relative_change = 2.061903273299862e-6 Iter 65: T = 801.6151092109968 K, F = -0.08114094708345676, relative_change = 8.623402776693004e-7 Iter 70: T = 801.6129978049703 K, F = -0.033934143484856905, relative_change = 3.6064584835859004e-7 Iter 75: T = 801.6121147838655 K, F = -0.014191669375238303, relative_change = 1.5082724829924997e-7 Iter 80: T = 801.6117454928641 K, F = -0.005935126544939884, relative_change = 6.307790471551037e-8 Iter 85: T = 801.611591050777 K, F = -0.002482140961046264, relative_change = 2.6379958956199737e-8 Iter 90: T = 801.6115264612204 K, F = -0.0010380610236813137, relative_change = 1.103241843795534e-8 Iter 95: T = 801.6114994490908 K, F = -0.0004341295238159404, relative_change = 4.613889956542835e-9 Iter 100: T = 801.6114881522947 K, F = -0.0001815581519937215, relative_change = 1.9295840164401984e-9 Iter 105: T = 801.6114834278394 K, F = -7.592978539161521e-5, relative_change = 8.069750807984657e-10 Iter 110: T = 801.6114814520157 K, F = -3.1754741252054686e-5, relative_change = 3.3748660102454947e-10 Iter 115: T = 801.6114806257027 K, F = -1.3280211825117405e-5, relative_change = 1.4114092557601684e-10 Iter 120: T = 801.6114802801288 K, F = -5.553943436042985e-6, relative_change = 5.902682344918164e-11 Iter 125: T = 801.6114801356057 K, F = -2.3227250622870343e-6, relative_change = 2.4685718151277877e-11 Iter 130: T = 801.6114800751643 K, F = -9.71390303527997e-7, relative_change = 1.0323850913622113e-11 Iter 135: T = 801.6114800498872 K, F = -4.062491949508029e-7, relative_change = 4.317580799240392e-12 Iter 140: T = 801.6114800393158 K, F = -1.6989806406186858e-7, relative_change = 1.8056617179426786e-12 Iter 145: T = 801.6114800348947 K, F = -7.105291466302788e-8, relative_change = 7.551441428545458e-13 Iter 150: T = 801.6114800330457 K, F = -2.9713566940259284e-8, relative_change = 3.157931823756026e-13 Converged in 153 iterations to T = 801.6114800325045 K Iter 1: T = 965.1562748748228 K, F = -7939.175914710958, relative_change = 0.03484372512517723 Iter 2: T = 932.2856984572085 K, F = -6733.761334959543, relative_change = 0.034057258159439045 Iter 3: T = 901.358787395277 K, F = -5710.1529041538015, relative_change = 0.03317321193826187 Iter 5: T = 845.2230260657198 K, F = -4103.022627007966, relative_change = 0.03109343500746814 Iter 10: T = 736.7470418274912 K, F = -1785.538090157692, relative_change = 0.02411963268314923 Iter 15: T = 668.8609689689521 K, F = -768.8708276060019, relative_change = 0.01581524544445004 Iter 20: T = 631.688311000776 K, F = -327.4153774545641, relative_change = 0.008712163206525288 Iter 25: T = 613.5770655942788 K, F = -138.23839706975295, relative_change = 0.004207799504497501 Iter 30: T = 605.4078959314355 K, F = -58.07226415037286, relative_change = 0.001882459809965047 Iter 35: T = 601.872102367085 K, F = -24.334546981036986, relative_change = 0.0008109930152660819 Iter 40: T = 600.3711846065784 K, F = -10.185612692061676, relative_change = 0.0003435026146021985 Iter 45: T = 599.7394935472843 K, F = -4.2612677823655885, relative_change = 0.00014442951420900001 Iter 50: T = 599.474607094077 K, F = -1.782380641596593, relative_change = 6.0538348931099904e-5 Iter 55: T = 599.3637043953565 K, F = -0.7454597565012284, relative_change = 2.5341761191483956e-5 Iter 60: T = 599.3173018274342 K, F = -0.3117683797285716, relative_change = 1.0602413227985033e-5 Iter 65: T = 599.2978919147241 K, F = -0.13038669555302065, relative_change = 4.434788401155377e-6 Iter 70: T = 599.2897737917567 K, F = -0.05452952438372288, relative_change = 1.854809630014038e-6 Iter 75: T = 599.286378579338 K, F = -0.022804942243526805, relative_change = 7.757259555190775e-7 Iter 80: T = 599.2849586405902 K, F = -0.009537306875225027, relative_change = 3.2442177959019137e-7 Iter 85: T = 599.284364801686 K, F = -0.003988616977736947, relative_change = 1.3567774840492767e-7 Iter 90: T = 599.2841164505413 K, F = -0.001668087488629011, relative_change = 5.67421746425253e-8 Iter 95: T = 599.2840125870177 K, F = -0.0006976141489955512, relative_change = 2.373027602411106e-8 Iter 100: T = 599.2839691500327 K, F = -0.00029175057549762906, relative_change = 9.924288499338362e-9 Iter 105: T = 599.2839509841635 K, F = -0.00012201357586671957, relative_change = 4.150456602954606e-9 Iter 110: T = 599.2839433869796 K, F = -5.102753475133559e-5, relative_change = 1.7357706289581017e-9 Iter 115: T = 599.2839402097463 K, F = -2.1340324532992394e-5, relative_change = 7.259200283198745e-10 Iter 120: T = 599.2839388809895 K, F = -8.924778561625324e-6, relative_change = 3.03588427841266e-10 Iter 125: T = 599.2839383252875 K, F = -3.7324492274115606e-6, relative_change = 1.2696431515083978e-10 Iter 130: T = 599.2839380928863 K, F = -1.560954425938732e-6, relative_change = 5.309797882350059e-11 Iter 135: T = 599.2839379956933 K, F = -6.528105502279224e-7, relative_change = 2.220623499477176e-11 Iter 140: T = 599.2839379550461 K, F = -2.7301374072585816e-7, relative_change = 9.286932147774135e-12 Iter 145: T = 599.283937938047 K, F = -1.1417761641707713e-7, relative_change = 3.883906259750929e-12 Iter 150: T = 599.2839379309377 K, F = -4.7750203679974845e-8, relative_change = 1.6242878491179669e-12 Iter 155: T = 599.2839379279644 K, F = -1.9969476239278805e-8, relative_change = 6.792887801456549e-13 Iter 160: T = 599.283937926721 K, F = -8.351177305243596e-9, relative_change = 2.840766065439839e-13 Converged in 162 iterations to T = 599.2839379264578 K Iter 1: T = 964.5827949924117 K, F = -8069.843851438532, relative_change = 0.035417205007588354 Iter 2: T = 931.1064142783533 K, F = -6845.649014691822, relative_change = 0.03470555445094965 Iter 3: T = 899.5404994043025 K, F = -5806.049162847318, relative_change = 0.03390151156730641 Iter 5: T = 842.0277853800262 K, F = -4173.6693820642395, relative_change = 0.031992561050088804 Iter 10: T = 729.6575828943957 K, F = -1818.9245652540576, relative_change = 0.02540513140410908 Iter 15: T = 657.8639063860724 K, F = -784.7005894888491, relative_change = 0.01715366895212731 Iter 20: T = 617.6925084521606 K, F = -334.7267545219923, relative_change = 0.009702763276530666 Iter 25: T = 597.7931671586898 K, F = -141.48745957114292, relative_change = 0.004769016621300957 Iter 30: T = 588.7291387857686 K, F = -59.473625083159384, relative_change = 0.002153426988046897 Iter 35: T = 584.7868809922281 K, F = -24.928946450990214, relative_change = 0.0009317598472234711 Iter 40: T = 583.1097289892234 K, F = -10.435729593106014, relative_change = 0.00039540608628548966 Iter 45: T = 582.4031922555927 K, F = -4.36614336820257, relative_change = 0.00016638804688364178 Iter 50: T = 582.1068007997247 K, F = -1.826289169386161, relative_change = 6.976628845971943e-5 Iter 55: T = 581.9826864276585 K, F = -0.7638313078647823, relative_change = 2.920884145400719e-5 Iter 60: T = 581.9307522791786 K, F = -0.31945306754089847, relative_change = 1.2221047684388605e-5 Iter 65: T = 581.9090278898154 K, F = -0.13360078378112566, relative_change = 5.111961429957415e-6 Iter 70: T = 581.8999416319359 K, F = -0.05587373995391248, relative_change = 2.138053605012805e-6 Iter 75: T = 581.8961415001472 K, F = -0.02336711720530349, relative_change = 8.941893378019683e-7 Iter 80: T = 581.894552213373 K, F = -0.009772416551265983, relative_change = 3.7396586984513184e-7 Iter 85: T = 581.8938875500678 K, F = -0.0040869428946047615, relative_change = 1.563979040458715e-7 Iter 90: T = 581.8936095791322 K, F = -0.0017092086041972654, relative_change = 6.540763062349733e-8 Iter 95: T = 581.8934933282267 K, F = -0.0007148114986982312, relative_change = 2.7354280119495998e-8 Iter 100: T = 581.8934447106851 K, F = -0.0002989427146660173, relative_change = 1.1439891529887692e-8 Iter 105: T = 581.8934243782442 K, F = -0.00012502141450176918, relative_change = 4.784300096885164e-9 Iter 110: T = 581.8934158749739 K, F = -5.228544909779975e-5, relative_change = 2.0008515947806937e-9 Iter 115: T = 581.8934123188046 K, F = -2.186639995088724e-5, relative_change = 8.367800839768561e-10 Iter 120: T = 581.893410831572 K, F = -9.144789006099163e-6, relative_change = 3.499514059367086e-10 Iter 125: T = 581.8934102095936 K, F = -3.824460009516084e-6, relative_change = 1.4635385936155152e-10 Iter 130: T = 581.8934099494749 K, F = -1.5994350304748828e-6, relative_change = 6.12069388681782e-11 Iter 135: T = 581.89340984069 K, F = -6.689023717143527e-7, relative_change = 2.5597455245546315e-11 Iter 140: T = 581.8934097951949 K, F = -2.7974212407633203e-7, relative_change = 1.0705129487956561e-11 Iter 145: T = 581.8934097761684 K, F = -1.16991614840245e-7, relative_change = 4.477017503889357e-12 Iter 150: T = 581.8934097682112 K, F = -4.89269134096304e-8, relative_change = 1.8723277566479333e-12 Iter 155: T = 581.8934097648835 K, F = -2.0462070704496682e-8, relative_change = 7.830394412745394e-13 Iter 160: T = 581.8934097634918 K, F = -8.557814179521728e-9, relative_change = 3.274891446967637e-13 Converged in 163 iterations to T = 581.8934097630843 K Iter 1: T = 964.3532008514184 K, F = -8122.157094864261, relative_change = 0.035646799148581626 Iter 2: T = 930.6336524963381 K, F = -6890.452916281088, relative_change = 0.03496597338538378 Iter 3: T = 898.8104669558651 K, F = -5844.459873012885, relative_change = 0.03419518030012165 Iter 5: T = 840.7403224275598 K, F = -4201.988546090962, relative_change = 0.03235840483881815 Iter 10: T = 726.7659331539695 K, F = -1832.3624008017064, relative_change = 0.02594495405637072 Iter 15: T = 653.3105529981021 K, F = -791.1224325578771, relative_change = 0.017738859605448725 Iter 20: T = 611.8199836298742 K, F = -337.72128113350993, relative_change = 0.010152341945386483 Iter 25: T = 591.1127953249088 K, F = -142.8282051184992, relative_change = 0.005030224207564054 Iter 30: T = 581.6378988490694 K, F = -60.054427042150515, relative_change = 0.002281262350528614 Iter 35: T = 577.5074870825476 K, F = -25.17582147780558, relative_change = 0.0009890984175683088 Iter 40: T = 575.7484510201838 K, F = -10.539710503664312, relative_change = 0.00042011839490586656 Iter 45: T = 575.0070822326319 K, F = -4.409761015805883, relative_change = 0.00017685549719553928 Iter 50: T = 574.6960187225098 K, F = -1.8445538362594895, relative_change = 7.416739756636866e-5 Iter 55: T = 574.5657498166505 K, F = -0.7714738924571927, relative_change = 3.105357169796224e-5 Iter 60: T = 574.5112385199667 K, F = -0.322650003027326, relative_change = 1.2993260708321728e-5 Iter 65: T = 574.4884357673664 K, F = -0.13493790558653226, relative_change = 5.435037039192169e-6 Iter 70: T = 574.478898425505 K, F = -0.056432962166783535, relative_change = 2.273189887761414e-6 Iter 75: T = 574.4749096275835 K, F = -0.02360099444481434, relative_change = 9.507088294197422e-7 Iter 80: T = 574.4732414353315 K, F = -0.009870227475101523, relative_change = 3.9760367560395244e-7 Iter 85: T = 574.4725437722802 K, F = -0.00412784870919225, relative_change = 1.6628363557802223e-7 Iter 90: T = 574.4722520003634 K, F = -0.0017263159246401205, relative_change = 6.954198238526587e-8 Iter 95: T = 574.4721299777063 K, F = -0.0007219659882553575, relative_change = 2.9083319045734064e-8 Iter 100: T = 574.4720789463465 K, F = -0.0003019348078568407, relative_change = 1.2162996878701418e-8 Iter 105: T = 574.4720576044175 K, F = -0.00012627274342968953, relative_change = 5.086711488312623e-9 Iter 110: T = 574.4720486789671 K, F = -5.2808769624768104e-5, relative_change = 2.1273236623177934e-9 Iter 115: T = 574.472044946237 K, F = -2.2085258039261646e-5, relative_change = 8.896721851794915e-10 Iter 120: T = 574.4720433851647 K, F = -9.236318448346825e-6, relative_change = 3.7207152882958124e-10 Iter 125: T = 574.4720427323056 K, F = -3.862738318149983e-6, relative_change = 1.5560474309285034e-10 Iter 130: T = 574.4720424592721 K, F = -1.6154428049697245e-6, relative_change = 6.507574226195236e-11 Iter 135: T = 574.4720423450863 K, F = -6.755976155181642e-7, relative_change = 2.7215458329196645e-11 Iter 140: T = 574.4720422973323 K, F = -2.8254274764272225e-7, relative_change = 1.1381819889687986e-11 Iter 145: T = 574.4720422773612 K, F = -1.1816312422974207e-7, relative_change = 4.760028027719894e-12 Iter 150: T = 574.4720422690091 K, F = -4.941784786938186e-8, relative_change = 1.990725469367112e-12 Iter 155: T = 574.472042265516 K, F = -2.0667557554254756e-8, relative_change = 8.325622217058977e-13 Iter 160: T = 574.4720422640552 K, F = -8.642928372992742e-9, relative_change = 3.4816768403625555e-13 Converged in 163 iterations to T = 574.4720422636275 K Iter 1: T = 980.1683117088339 K, F = -4518.669041947919, relative_change = 0.019831688291166102 Iter 2: T = 962.3791866154778 K, F = -3816.903166573915, relative_change = 0.01814905142397678 Iter 3: T = 946.5115361672658 K, F = -3222.621647914578, relative_change = 0.016487940168381888 Iter 5: T = 920.0168475906924 K, F = -2294.0841282450456, relative_change = 0.01331892918876574 Iter 10: T = 877.9607736671495 K, F = -973.8898368886989, relative_change = 0.006994258674247991 Iter 15: T = 858.0565520134038 K, F = -410.3841895239927, relative_change = 0.003278997527705056 Iter 20: T = 849.2241375023538 K, F = -172.22403192299083, relative_change = 0.0014448068391643542 Iter 25: T = 845.4313583509185 K, F = -72.13519571622278, relative_change = 0.0006181239672172127 Iter 30: T = 843.8270217546625 K, F = -30.187242657777308, relative_change = 0.0002610187132042997 Iter 35: T = 843.1528289051076 K, F = -12.628093699067838, relative_change = 0.00010960676816877222 Iter 40: T = 842.8703017876871 K, F = -5.281821270628035, relative_change = 4.591726767994589e-5 Iter 45: T = 842.7520452333581 K, F = -2.2090261183163378, relative_change = 1.9216897867875298e-5 Iter 50: T = 842.7025713538196 K, F = -0.9238595468785473, relative_change = 8.039143282510484e-6 Iter 55: T = 842.6818777104951 K, F = -0.38637232214438455, relative_change = 3.3624869169988907e-6 Iter 60: T = 842.6732228435742 K, F = -0.16158608371865646, relative_change = 1.406305864976104e-6 Iter 65: T = 842.6696031807343 K, F = -0.067577328652344, relative_change = 5.881467951317036e-7 Iter 70: T = 842.6680893780422 K, F = -0.02826166314301992, relative_change = 2.4597226775512076e-7 Iter 75: T = 842.6674562847983 K, F = -0.011819368059637236, relative_change = 1.028689341451579e-7 Iter 80: T = 842.6671915171393 K, F = -0.004943001401371605, relative_change = 4.30210857099115e-8 Iter 85: T = 842.6670807880542 K, F = -0.002067222309221739, relative_change = 1.799194387512208e-8 Iter 90: T = 842.6670344798131 K, F = -0.0008645370734787772, relative_change = 7.524447905075673e-9 Iter 95: T = 842.6670151131509 K, F = -0.0003615597305057783, relative_change = 3.1468143332675825e-9 Iter 100: T = 842.667007013781 K, F = -0.00015120859881134763, relative_change = 1.3160354090394944e-9 Iter 105: T = 842.6670036265277 K, F = -6.323724157364374e-5, relative_change = 5.503817331018216e-10 Iter 110: T = 842.6670022099379 K, F = -2.6446568810456483e-5, relative_change = 2.3017620836687353e-10 Iter 115: T = 842.6670016175032 K, F = -1.1060269735185813e-5, relative_change = 9.626242927495725e-11 Iter 120: T = 842.6670013697399 K, F = -4.625536060398616e-6, relative_change = 4.025809036824058e-11 Iter 125: T = 842.6670012661223 K, F = -1.9344552049105346e-6, relative_change = 1.6836421007489706e-11 Iter 130: T = 842.6670012227883 K, F = -8.090109915315224e-7, relative_change = 7.041181218293656e-12 Iter 135: T = 842.6670012046653 K, F = -3.3833821655449015e-7, relative_change = 2.944707452699138e-12 Iter 140: T = 842.6670011970862 K, F = -1.414962695900357e-7, relative_change = 1.2315047464986655e-12 Iter 145: T = 842.6670011939165 K, F = -5.9173820954327994e-8, relative_change = 5.150159900763493e-13 Converged in 150 iterations to T = 842.6670011925909 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: 67%|██████████████████████ | 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 = 0.0017886042711990741 Iteration 10: d = 1.750959263574792e-5 Iteration 20: d = 1.7338889129100677e-7 Iteration 30: d = 2.0990170794214813e-9 Iteration 40: d = 2.7561053886372675e-11 Iteration 50: d = 3.7593652085388963e-13 Iteration 60: d = 5.215991828554605e-15 Converged after 63 iterations. d = 1.4623057026209883e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.793544882012 Iteration 2: convergence error = 4819.730763604419 Iteration 3: convergence error = 1098.9770220776752 Iteration 4: convergence error = 319.0824486296415 Iteration 5: convergence error = 94.65874110188861 Iteration 6: convergence error = 28.279109839476405 Iteration 7: convergence error = 8.512308034738908 Iteration 8: convergence error = 2.5523313517892348 Iteration 9: convergence error = 0.763511931134417 Iteration 10: convergence error = 0.2280920817133847 Iteration 11: convergence error = 0.06808808721484638 Iteration 12: convergence error = 0.02031619273020624 Iteration 13: convergence error = 0.006060456623117716 Iteration 14: convergence error = 0.0018076171918437467 Iteration 15: convergence error = 0.0005391033096202591 Iteration 16: convergence error = 0.0001607744377452036 Iteration 17: convergence error = 4.794575170308235e-5 Iteration 18: convergence error = 1.4298027508630184e-5 Iteration 19: convergence error = 4.263819619154674e-6 Iteration 20: convergence error = 1.2715011052932823e-6 Iteration 21: convergence error = 3.7917016015853733e-7 Iteration 22: convergence error = 1.1293423085589893e-7 Iteration 23: convergence error = 3.2769776225904934e-8 Iteration 24: convergence error = 9.447376214666292e-9 Iteration 25: convergence error = 2.7193891583010554e-9 Iteration 26: convergence error = 7.819380698492751e-10 Iteration 27: convergence error = 2.2077983885537833e-10 Iteration 28: convergence error = 6.298250809777528e-11 Iteration 29: convergence error = 1.8417267710901797e-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 = 0.0017192518068860961 Iteration 10: d = 1.5909387381109937e-5 Iteration 20: d = 1.64772499325227e-7 Iteration 30: d = 1.863187663960707e-9 Iteration 40: d = 2.142968407410674e-11 Iteration 50: d = 2.489149036516786e-13 Iteration 60: d = 2.903012248150109e-15 Converged after 61 iterations. d = 1.8570263994356264e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 12277.601272429929 Iteration 2: convergence error = 8317.337568906321 Iteration 3: convergence error = 1958.997586745985 Iteration 4: convergence error = 483.11722961172904 Iteration 5: convergence error = 123.29949609715163 Iteration 6: convergence error = 32.94656238379093 Iteration 7: convergence error = 8.982138866170999 Iteration 8: convergence error = 2.462853143763141 Iteration 9: convergence error = 0.6761435546209213 Iteration 10: convergence error = 0.1856554613220851 Iteration 11: convergence error = 0.050975168597005904 Iteration 12: convergence error = 0.013995512163546664 Iteration 13: convergence error = 0.003842434830403363 Iteration 14: convergence error = 0.0010549165369866387 Iteration 15: convergence error = 0.0002896189473631239 Iteration 16: convergence error = 7.951237444103754e-5 Iteration 17: convergence error = 2.1829416937180213e-5 Iteration 18: convergence error = 5.993067816234543e-6 Iteration 19: convergence error = 1.645342990741483e-6 Iteration 20: convergence error = 4.5171441342972685e-7 Iteration 21: convergence error = 1.2485725164879113e-7 Iteration 22: convergence error = 3.362561074027326e-8 Iteration 23: convergence error = 8.997631084639579e-9 Iteration 24: convergence error = 2.407432475592941e-9 Iteration 25: convergence error = 6.423306331271306e-10 Iteration 26: convergence error = 1.723492459859699e-10 Iteration 27: convergence error = 4.5929482439532876e-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: 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 = 0.0017192518068860961 Iteration 10: d = 1.5909387381109937e-5 Iteration 20: d = 1.64772499325227e-7 Iteration 30: d = 1.863187663960707e-9 Iteration 40: d = 2.142968407410674e-11 Iteration 50: d = 2.489149036516786e-13 Iteration 60: d = 2.903012248150109e-15 Converged after 61 iterations. d = 1.8570263994356264e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10995.030900754311 Iteration 2: convergence error = 5721.414305051296 Iteration 3: convergence error = 2019.2525609306635 Iteration 4: convergence error = 896.330225142729 Iteration 5: convergence error = 412.4901847328265 Iteration 6: convergence error = 194.76149065947448 Iteration 7: convergence error = 92.02444433635583 Iteration 8: convergence error = 43.49971047261215 Iteration 9: convergence error = 20.5619473519414 Iteration 10: convergence error = 9.717341487294561 Iteration 11: convergence error = 4.591121909617868 Iteration 12: convergence error = 2.168666023367223 Iteration 13: convergence error = 1.024216192669428 Iteration 14: convergence error = 0.4836562495970611 Iteration 15: convergence error = 0.2283730330209437 Iteration 16: convergence error = 0.10774162242250895 Iteration 17: convergence error = 0.050401061771026434 Iteration 18: convergence error = 0.02303839252817852 Iteration 19: convergence error = 0.010490076484074962 Iteration 20: convergence error = 0.004765839079482248 Iteration 21: convergence error = 0.0021624366090691183 Iteration 22: convergence error = 0.0009804461587918922 Iteration 23: convergence error = 0.0004443387356332096 Iteration 24: convergence error = 0.000201322395241732 Iteration 25: convergence error = 9.120165123022161e-5 Iteration 26: convergence error = 4.1311667246191064e-5 Iteration 27: convergence error = 1.8711911707214313e-5 Iteration 28: convergence error = 8.475168215227313e-6 Iteration 29: convergence error = 3.838565135083627e-6 Iteration 30: convergence error = 1.7385418686899357e-6 Iteration 31: convergence error = 7.874032235122286e-7 Iteration 32: convergence error = 3.5662378650158644e-7 Iteration 33: convergence error = 1.6151307136169635e-7 Iteration 34: convergence error = 7.315384209505282e-8 Iteration 35: convergence error = 3.312607077532448e-8 Iteration 36: convergence error = 1.499984136899002e-8 Iteration 37: convergence error = 6.803020369261503e-9 Iteration 38: convergence error = 3.0722731025889516e-9 Iteration 39: convergence error = 1.394255377817899e-9 Iteration 40: convergence error = 6.384652806445956e-10 Iteration 41: convergence error = 2.9058355721645057e-10 Iteration 42: convergence error = 1.3142198440618813e-10 Iteration 43: convergence error = 5.729816621169448e-11 Iteration 44: convergence error = 2.8194335754960775e-11 Iteration 45: convergence error = 1.4097167877480388e-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: 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 = 0.0017192518068860961 Iteration 10: d = 1.5909387381109937e-5 Iteration 20: d = 1.64772499325227e-7 Iteration 30: d = 1.863187663960707e-9 Iteration 40: d = 2.142968407410674e-11 Iteration 50: d = 2.489149036516786e-13 Iteration 60: d = 2.903012248150109e-15 Converged after 61 iterations. d = 1.8570263994356264e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10826.793955527753 Iteration 2: convergence error = 7339.672200047124 Iteration 3: convergence error = 1734.4334732778825 Iteration 4: convergence error = 507.69077746149424 Iteration 5: convergence error = 157.95711271382015 Iteration 6: convergence error = 49.12135268187694 Iteration 7: convergence error = 15.247857704241142 Iteration 8: convergence error = 4.725024110489812 Iteration 9: convergence error = 1.4624715722075052 Iteration 10: convergence error = 0.4523320195889937 Iteration 11: convergence error = 0.13984420941869757 Iteration 12: convergence error = 0.04322423688563504 Iteration 13: convergence error = 0.013358297066133673 Iteration 14: convergence error = 0.004128016670620127 Iteration 15: convergence error = 0.0012755951511280728 Iteration 16: convergence error = 0.0003941609020330361 Iteration 17: convergence error = 0.00012179461282357806 Iteration 18: convergence error = 3.7633893043675926e-5 Iteration 19: convergence error = 1.1628623269643867e-5 Iteration 20: convergence error = 3.5931611819250975e-6 Iteration 21: convergence error = 1.1102561074949335e-6 Iteration 22: convergence error = 3.429081516514998e-7 Iteration 23: convergence error = 1.0474059308762662e-7 Iteration 24: convergence error = 3.121476765954867e-8 Iteration 25: convergence error = 9.27411747397855e-9 Iteration 26: convergence error = 2.7448550099506974e-9 Iteration 27: convergence error = 8.071765478234738e-10 Iteration 28: convergence error = 2.3874235921539366e-10 Iteration 29: convergence error = 7.139533408917487e-11 Iteration 30: convergence error = 2.2737367544323206e-11 Iteration 31: convergence error = 6.366462912410498e-12 Converged after 31 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 69%|██████████████████████▊ | ETA: 0:00:00 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 = 0.0017192518068860961 Iteration 10: d = 1.5909387381109937e-5 Iteration 20: d = 1.64772499325227e-7 Iteration 30: d = 1.863187663960707e-9 Iteration 40: d = 2.142968407410674e-11 Iteration 50: d = 2.489149036516786e-13 Iteration 60: d = 2.903012248150109e-15 Converged after 61 iterations. d = 1.8570263994356264e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 7541.744112219117 Iteration 2: convergence error = 5512.363895804588 Iteration 3: convergence error = 939.1403048350703 Iteration 4: convergence error = 170.91564024205422 Iteration 5: convergence error = 31.03591871074059 Iteration 6: convergence error = 5.651325611676839 Iteration 7: convergence error = 1.035220684169417 Iteration 8: convergence error = 0.18961654500253644 Iteration 9: convergence error = 0.03468966805257878 Iteration 10: convergence error = 0.006342601764572464 Iteration 11: convergence error = 0.0011593259596338612 Iteration 12: convergence error = 0.00021187403399380855 Iteration 13: convergence error = 3.871825492751668e-5 Iteration 14: convergence error = 7.075141638779314e-6 Iteration 15: convergence error = 1.2928398973599542e-6 Iteration 16: convergence error = 2.3625625544809736e-7 Iteration 17: convergence error = 4.315597834647633e-8 Iteration 18: convergence error = 7.880771590862423e-9 Iteration 19: convergence error = 1.451098796678707e-9 Iteration 20: convergence error = 2.660272002685815e-10 Iteration 21: convergence error = 4.774847184307873e-11 Iteration 22: convergence error = 8.640199666842818e-12 Converged after 22 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Spectral bin 11 results written: 16 volumes, 16 surfaces Spectral bin 12 results written: 16 volumes, 16 surfaces Spectral bin 13 results written: 16 volumes, 16 surfaces Spectral bin 14 results written: 16 volumes, 16 surfaces Spectral bin 15 results written: 16 volumes, 16 surfaces Spectral bin 16 results written: 16 volumes, 16 surfaces Spectral bin 17 results written: 16 volumes, 16 surfaces Spectral bin 18 results written: 16 volumes, 16 surfaces Spectral bin 19 results written: 16 volumes, 16 surfaces Spectral bin 20 results written: 16 volumes, 16 surfaces Uniform extinction detected across 50 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (50 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 69%|██████████████████████▊ | ETA: 0:00:00 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 = 0.0017192518068860961 Iteration 10: d = 1.5909387381109937e-5 Iteration 20: d = 1.64772499325227e-7 Iteration 30: d = 1.863187663960707e-9 Iteration 40: d = 2.142968407410674e-11 Iteration 50: d = 2.489149036516786e-13 Iteration 60: d = 2.903012248150109e-15 Converged after 61 iterations. d = 1.8570263994356264e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 3298.489438232817 Iteration 2: convergence error = 2711.9233907425464 Iteration 3: convergence error = 205.01852767455568 Iteration 4: convergence error = 19.34291685186401 Iteration 5: convergence error = 1.601087551171509 Iteration 6: convergence error = 0.13056990361362036 Iteration 7: convergence error = 0.010660350709871987 Iteration 8: convergence error = 0.00087339482987589 Iteration 9: convergence error = 7.162805656746007e-5 Iteration 10: convergence error = 5.877064647823079e-6 Iteration 11: convergence error = 4.823295033552763e-7 Iteration 12: convergence error = 3.958982603813562e-8 Iteration 13: convergence error = 3.2506051644010386e-9 Iteration 14: convergence error = 2.659656324873221e-10 Iteration 15: convergence error = 2.2737367544323206e-11 Iteration 16: convergence error = 4.141207870487036e-12 Converged after 16 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Spectral bin 11 results written: 16 volumes, 16 surfaces Spectral bin 12 results written: 16 volumes, 16 surfaces Spectral bin 13 results written: 16 volumes, 16 surfaces Spectral bin 14 results written: 16 volumes, 16 surfaces Spectral bin 15 results written: 16 volumes, 16 surfaces Spectral bin 16 results written: 16 volumes, 16 surfaces Spectral bin 17 results written: 16 volumes, 16 surfaces Spectral bin 18 results written: 16 volumes, 16 surfaces Spectral bin 19 results written: 16 volumes, 16 surfaces Spectral bin 20 results written: 16 volumes, 16 surfaces Spectral bin 21 results written: 16 volumes, 16 surfaces Spectral bin 22 results written: 16 volumes, 16 surfaces Spectral bin 23 results written: 16 volumes, 16 surfaces Spectral bin 24 results written: 16 volumes, 16 surfaces Spectral bin 25 results written: 16 volumes, 16 surfaces Spectral bin 26 results written: 16 volumes, 16 surfaces Spectral bin 27 results written: 16 volumes, 16 surfaces Spectral bin 28 results written: 16 volumes, 16 surfaces Spectral bin 29 results written: 16 volumes, 16 surfaces Spectral bin 30 results written: 16 volumes, 16 surfaces Spectral bin 31 results written: 16 volumes, 16 surfaces Spectral bin 32 results written: 16 volumes, 16 surfaces Spectral bin 33 results written: 16 volumes, 16 surfaces Spectral bin 34 results written: 16 volumes, 16 surfaces Spectral bin 35 results written: 16 volumes, 16 surfaces Spectral bin 36 results written: 16 volumes, 16 surfaces Spectral bin 37 results written: 16 volumes, 16 surfaces Spectral bin 38 results written: 16 volumes, 16 surfaces Spectral bin 39 results written: 16 volumes, 16 surfaces Spectral bin 40 results written: 16 volumes, 16 surfaces Spectral bin 41 results written: 16 volumes, 16 surfaces Spectral bin 42 results written: 16 volumes, 16 surfaces Spectral bin 43 results written: 16 volumes, 16 surfaces Spectral bin 44 results written: 16 volumes, 16 surfaces Spectral bin 45 results written: 16 volumes, 16 surfaces Spectral bin 46 results written: 16 volumes, 16 surfaces Spectral bin 47 results written: 16 volumes, 16 surfaces Spectral bin 48 results written: 16 volumes, 16 surfaces Spectral bin 49 results written: 16 volumes, 16 surfaces Spectral bin 50 results written: 16 volumes, 16 surfaces ✓ 2D Spectral Participating Media tests complete ------------------------------------------------------------ Testing Spectral Consistency ------------------------------------------------------------ Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Surface-Only Grey Solver === Found 96 surfaces Populating workspace... Computing emissive powers... Computing B matrix... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures... Writing results to domain... Grey results written: 96 surfaces Computing energy conservation error... === 3D Grey Solution Complete === Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3443865071168132e-15 Converged after 4 iterations. d = 1.8549284161345355e-16 === 3D Spectral Surface Radiation Solver === Spectral mode: spectral_uniform Number of spectral bins: 20 Computing GERT matrices for each spectral band... (Using same view factor matrix F for all bands) Building matrices for spectral bin 1... Building matrices for spectral bin 2... Building matrices for spectral bin 3... Building matrices for spectral bin 4... Building matrices for spectral bin 5... Building matrices for spectral bin 6... Building matrices for spectral bin 7... Building matrices for spectral bin 8... Building matrices for spectral bin 9... Building matrices for spectral bin 10... Building matrices for spectral bin 11... Building matrices for spectral bin 12... Building matrices for spectral bin 13... Building matrices for spectral bin 14... Building matrices for spectral bin 15... Building matrices for spectral bin 16... Building matrices for spectral bin 17... Building matrices for spectral bin 18... Building matrices for spectral bin 19... Building matrices for spectral bin 20... Assembling block matrix structure... Setting up boundary conditions... Starting spectral iteration... Iteration 1: convergence error = 1885.2319049346352 Iteration 2: convergence error = 858.4060420534064 Iteration 3: convergence error = 199.12106737711963 Iteration 4: convergence error = 59.265629268140174 Iteration 5: convergence error = 17.985482911037252 Iteration 6: convergence error = 5.463033078096487 Iteration 7: convergence error = 1.660989611064224 Iteration 8: convergence error = 0.5052487627317532 Iteration 9: convergence error = 0.15371874094239502 Iteration 10: convergence error = 0.04677131697644654 Iteration 11: convergence error = 0.014231269026709015 Iteration 12: convergence error = 0.004330236512828378 Iteration 13: convergence error = 0.0013175920926187246 Iteration 14: convergence error = 0.0004009136245031186 Iteration 15: convergence error = 0.00012198903971238906 Iteration 16: convergence error = 3.711853855747904e-5 Iteration 17: convergence error = 1.1294342471046548e-5 Iteration 18: convergence error = 3.4366166801191866e-6 Iteration 19: convergence error = 1.045686303768889e-6 Iteration 20: convergence error = 3.1818046863918426e-7 Iteration 21: convergence error = 9.68161657510791e-8 Iteration 22: convergence error = 2.946035237982869e-8 Iteration 23: convergence error = 8.963752406998537e-9 Iteration 24: convergence error = 2.7299620342091657e-9 Iteration 25: convergence error = 8.292317943414673e-10 Iteration 26: convergence error = 2.5431745598325506e-10 Iteration 27: convergence error = 7.696598913753405e-11 Iteration 28: convergence error = 2.3646862246096134e-11 Iteration 29: convergence error = 9.094947017729282e-12 Converged after 29 iterations Energy conservation errors by band: [1.5428857128674637e-25, 8.401053096241687e-26, 1.1490863489811346e-25, 9.400697635337753e-26, 1.2440020930973268e-25, -3.2610768469290563e-19, 2.7533531010703882e-14, 1.7053025658242404e-12, 5.6701310313655995e-12, 2.6432189770275727e-12, 7.176481631177012e-13, 8.526512829121202e-14, 4.9960036108132044e-15, 2.636779683484747e-16, 2.0166160408230382e-17, 1.0062751413381088e-18, 3.560185356428231e-20, 1.2755125045567687e-21, 4.105530024647957e-23, 5.6284752489113644e-15] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 60%|███████████████████▊ | 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 = 0.0017886042711990741 Iteration 10: d = 1.750959263574792e-5 Iteration 20: d = 1.7338889129100677e-7 Iteration 30: d = 2.0990170794214813e-9 Iteration 40: d = 2.7561053886372675e-11 Iteration 50: d = 3.7593652085388963e-13 Iteration 60: d = 5.215991828554605e-15 Converged after 63 iterations. d = 1.4623057026209883e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 6030.3656288956045 Iteration 2: convergence error = 3608.0866954431053 Iteration 3: convergence error = 594.6289502623058 Iteration 4: convergence error = 104.3848185033869 Iteration 5: convergence error = 18.572295747118687 Iteration 6: convergence error = 3.2749110773600023 Iteration 7: convergence error = 0.5753481464071228 Iteration 8: convergence error = 0.10092443960070341 Iteration 9: convergence error = 0.017692514921009206 Iteration 10: convergence error = 0.003100790916732876 Iteration 11: convergence error = 0.0005433892874862067 Iteration 12: convergence error = 9.522084019408794e-5 Iteration 13: convergence error = 1.668575396251981e-5 Iteration 14: convergence error = 2.923872443716391e-6 Iteration 15: convergence error = 5.123417849972611e-7 Iteration 16: convergence error = 8.978395271697082e-8 Iteration 17: convergence error = 1.57428985403385e-8 Iteration 18: convergence error = 2.741671778494492e-9 Iteration 19: convergence error = 4.870344127994031e-10 Iteration 20: convergence error = 8.276401786133647e-11 Iteration 21: convergence error = 1.4551915228366852e-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 7m18.6s Testing RayTraceHeatTransfer tests passed Testing completed after 446.83s PkgEval succeeded after 500.63s