Package evaluation to test RayTraceHeatTransfer on Julia 1.13.0-alpha2.30 (5abf758bb1*) started at 2026-01-09T01:26:46.828 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.95s ################################################################################ # Installation # Installing RayTraceHeatTransfer... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [7cf1493d] + RayTraceHeatTransfer v0.6.1 Updating `~/.julia/environments/v1.13/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 v1.12.0 [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 v1.13.0 [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 v1.11.0 [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 v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+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 v1.67.1+0 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.36s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 60.65s ################################################################################ # Testing # Testing RayTraceHeatTransfer Status `/tmp/jl_7MqY3k/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_7MqY3k/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 v1.12.0 [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 v1.13.0 [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 v1.11.0 [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 v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.46.0+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 v1.67.1+0 [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 = 1.3443558531181326e-15 Converged after 5 iterations. d = 0.0 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.0569008315563939e-15 Converged after 4 iterations. d = 2.1138016631127878e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 7.691850745534255e-16 Converged after 6 iterations. d = 1.6184142622847344e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 6.485546236472086e-16 Converged after 4 iterations. d = 2.1138016631127878e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.2585248453105973e-15 Converged after 6 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 = 8.64442489944963e-16 Converged after 5 iterations. d = 0.0 Computing view factors (geometry only, wavelength-independent)... Matrix size: 6×6 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.2785653431858247e-15 Converged after 4 iterations. d = 2.1138016631127878e-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 = 1.545279929710839e-15 Converged after 5 iterations. d = 1.4387229126951138e-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 = 1.545279929710839e-15 Converged after 5 iterations. d = 1.4387229126951138e-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 = 1.545279929710839e-15 Converged after 5 iterations. d = 1.4387229126951138e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 1.741771048821297e-15 Converged after 5 iterations. d = 2.1647144989062977e-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 = 1.6708853471768988e-15 Converged after 5 iterations. d = 1.8174569082716346e-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 = 1.5394136982922497e-15 Converged after 5 iterations. d = 1.6288904732141786e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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: 0:03:06 Bin 1 progress: 62%|████████████████████▍ | ETA: 0:00:02 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:04 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001175503921696238 Iteration 10: d = 1.1003178255992694e-5 Iteration 20: d = 1.5060795666545226e-7 Iteration 30: d = 2.371217271899969e-9 Iteration 40: d = 3.903543840835849e-11 Iteration 50: d = 6.557752318098699e-13 Iteration 60: d = 1.112291703428996e-14 Converged after 64 iterations. d = 2.1687447423785018e-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: 39%|█████████████ | ETA: 0:00:02 Bin 1 progress: 79%|██████████████████████████ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0011715554795775132 Iteration 10: d = 1.1588713792445503e-5 Iteration 20: d = 1.497179984430794e-7 Iteration 30: d = 2.224628145417398e-9 Iteration 40: d = 3.519054623914088e-11 Iteration 50: d = 5.779050322087311e-13 Iteration 60: d = 9.709021831403396e-15 Converged after 64 iterations. d = 1.8988571746536463e-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: 39%|█████████████ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0010839391568597272 Iteration 10: d = 9.272842881380938e-6 Iteration 20: d = 1.1595338688817482e-7 Iteration 30: d = 1.7488774526273577e-9 Iteration 40: d = 2.8622203480348637e-11 Iteration 50: d = 4.855904222019292e-13 Iteration 60: d = 8.370137695223616e-15 Converged after 64 iterations. d = 1.6249736009040945e-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: 41%|█████████████▍ | ETA: 0:00:01 Bin 1 progress: 81%|██████████████████████████▊ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 165×165 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001025693298743245 Iteration 10: d = 8.750887508153758e-6 Iteration 20: d = 1.1722807454619552e-7 Iteration 30: d = 1.8061353401519738e-9 Iteration 40: d = 2.97494281743144e-11 Iteration 50: d = 5.096334614778822e-13 Iteration 60: d = 8.92897530684024e-15 Converged after 64 iterations. d = 1.793339612373301e-15 === Variable Extinction Memory-Optimized Steady State Solver === Found 44 surfaces and 121 volumes (total: 165 elements). Allocating workspace... Populating workspace from mesh... Computing emissive powers with variable extinction... Computing B matrix with variable extinction... Computing K matrix... Solving for S_infty... Assembling linear system... Solving linear system... Computing absorbed and reflected energies... Computing temperatures with variable extinction... Writing results to mesh... Grey results written: 121 volumes, 44 surfaces Computing energy conservation error... === Variable Extinction Steady State Solution Complete === Uniform extinction detected (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for grey extinction Using 1 threads for spectral bin 1 Bin 1 progress: 40%|█████████████▎ | ETA: 0:00:01 Bin 1 progress: 83%|███████████████████████████▍ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012731223985948798 Iteration 10: d = 1.1059572077059681e-5 Iteration 20: d = 1.249116801454555e-7 Iteration 30: d = 1.6359111797274505e-9 Iteration 40: d = 2.284249441193951e-11 Iteration 50: d = 3.3231539565304397e-13 Iteration 60: d = 4.914237330996782e-15 Converged after 62 iterations. d = 2.159340492619155e-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: 42%|█████████████▊ | ETA: 0:00:01 Bin 1 progress: 83%|███████████████████████████▍ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014678885223502343 Iteration 10: d = 1.6298283753843046e-5 Iteration 20: d = 2.1986772587051093e-7 Iteration 30: d = 3.250690060978982e-9 Iteration 40: d = 4.890151418167087e-11 Iteration 50: d = 7.400397162340809e-13 Iteration 60: d = 1.1238043447590172e-14 Converged after 64 iterations. d = 2.0687082646513187e-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: 40%|█████████████▎ | ETA: 0:00:01 Bin 1 progress: 82%|███████████████████████████ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015120942393124107 Iteration 10: d = 1.4336804459727072e-5 Iteration 20: d = 1.9246188495580465e-7 Iteration 30: d = 2.8714998301477805e-9 Iteration 40: d = 4.3398743906066745e-11 Iteration 50: d = 6.586659471089188e-13 Iteration 60: d = 9.984280147674148e-15 Converged after 64 iterations. d = 1.893541280111104e-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: 34%|███████████▏ | ETA: 0:00:02 Bin 1 progress: 73%|████████████████████████ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012882075182011955 Iteration 10: d = 1.6193654320947985e-5 Iteration 20: d = 2.3271078093814867e-7 Iteration 30: d = 3.5138291382342717e-9 Iteration 40: d = 5.349214386880527e-11 Iteration 50: d = 8.169409318792783e-13 Iteration 60: d = 1.2505808395037056e-14 Converged after 65 iterations. d = 1.588111114898944e-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: 39%|████████████▉ | ETA: 0:00:02 Bin 1 progress: 78%|█████████████████████████▊ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0013160303291859662 Iteration 10: d = 1.4127554527629268e-5 Iteration 20: d = 2.0374428427938918e-7 Iteration 30: d = 3.1356652865814248e-9 Iteration 40: d = 4.848111748979062e-11 Iteration 50: d = 7.49438708174654e-13 Iteration 60: d = 1.1577014639731684e-14 Converged after 64 iterations. d = 2.1481532275227387e-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: 39%|████████████▉ | ETA: 0:00:02 Bin 1 progress: 81%|██████████████████████████▋ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012996660234827152 Iteration 10: d = 1.3066819125716554e-5 Iteration 20: d = 1.841173230319456e-7 Iteration 30: d = 2.825664911945749e-9 Iteration 40: d = 4.3732408136445324e-11 Iteration 50: d = 6.772516933632003e-13 Iteration 60: d = 1.0486247562493455e-14 Converged after 64 iterations. d = 1.9561366106812387e-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 = 0.005001055301754897 Iteration 10: d = 7.058338986296359e-5 Iteration 20: d = 8.857019374560337e-7 Iteration 30: d = 1.150837887208365e-8 Iteration 40: d = 1.5108075469968157e-10 Iteration 50: d = 1.99479836211663e-12 Iteration 60: d = 2.6425898512191884e-14 Converged after 66 iterations. d = 1.9576136926165822e-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 = 0.0037364778450561854 Iteration 10: d = 5.008910824125759e-5 Iteration 20: d = 7.014536644788787e-7 Iteration 30: d = 1.0647429864059848e-8 Iteration 40: d = 1.649763799563427e-10 Iteration 50: d = 2.5758001032582907e-12 Iteration 60: d = 4.034030206202035e-14 Converged after 67 iterations. d = 2.1628396491699782e-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 = 0.0024259851201795866 Iteration 10: d = 2.4657083575972197e-5 Iteration 20: d = 2.745297177567276e-7 Iteration 30: d = 3.6894478778718123e-9 Iteration 40: d = 5.6055753750901444e-11 Iteration 50: d = 9.167638078244537e-13 Iteration 60: d = 1.5551763768476407e-14 Converged after 65 iterations. d = 2.034943294351232e-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 = 0.001912274181198359 Iteration 10: d = 1.858971035622715e-5 Iteration 20: d = 2.6981656719862166e-7 Iteration 30: d = 4.401472796432302e-9 Iteration 40: d = 7.563413630853038e-11 Iteration 50: d = 1.3353073908509898e-12 Iteration 60: d = 2.3888361788348002e-14 Converged after 66 iterations. d = 2.153852209210165e-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: 43%|██████████████▏ | ETA: 0:00:01 Bin 1 progress: 86%|████████████████████████████▎ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 77×77 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012731223985948798 Iteration 10: d = 1.1059572077059681e-5 Iteration 20: d = 1.249116801454555e-7 Iteration 30: d = 1.6359111797274505e-9 Iteration 40: d = 2.284249441193951e-11 Iteration 50: d = 3.3231539565304397e-13 Iteration 60: d = 4.914237330996782e-15 Converged after 62 iterations. d = 2.159340492619155e-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: 42%|█████████████▉ | ETA: 0:00:01 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for grey extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015870921685725283 Iteration 10: d = 1.2937232418745438e-5 Iteration 20: d = 1.1272805980820677e-7 Iteration 30: d = 1.3100877602610327e-9 Iteration 40: d = 1.7137359923469886e-11 Iteration 50: d = 2.3378002671087204e-13 Iteration 60: d = 3.2368138977176104e-15 Converged after 61 iterations. d = 2.1049511836903396e-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: 42%|█████████████▉ | ETA: 0:00:01 Bin 1 progress: 87%|████████████████████████████▋ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001431320106006051 Iteration 10: d = 1.4282513154674577e-5 Iteration 20: d = 1.392883244033948e-7 Iteration 30: d = 1.6516712368702272e-9 Iteration 40: d = 2.1495931288014903e-11 Iteration 50: d = 2.9316758565165995e-13 Iteration 60: d = 4.088852878330825e-15 Converged after 62 iterations. d = 1.7279574391586485e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.852497370564 Iteration 2: convergence error = 4833.348857706489 Iteration 3: convergence error = 1097.017100205405 Iteration 4: convergence error = 319.91625974713656 Iteration 5: convergence error = 94.83805243796178 Iteration 6: convergence error = 28.26194479192577 Iteration 7: convergence error = 8.434733672857192 Iteration 8: convergence error = 2.5267009995488934 Iteration 9: convergence error = 0.755101393345285 Iteration 10: convergence error = 0.22535275421046208 Iteration 11: convergence error = 0.06720209565992263 Iteration 12: convergence error = 0.020031399424397023 Iteration 13: convergence error = 0.005969403917561067 Iteration 14: convergence error = 0.001778642136741837 Iteration 15: convergence error = 0.0005299203678532649 Iteration 16: convergence error = 0.00015787457414262462 Iteration 17: convergence error = 4.703292006524862e-5 Iteration 18: convergence error = 1.4011505982125527e-5 Iteration 19: convergence error = 4.1741081986401696e-6 Iteration 20: convergence error = 1.2434886684786761e-6 Iteration 21: convergence error = 3.7043332667963114e-7 Iteration 22: convergence error = 1.1020483725587837e-7 Iteration 23: convergence error = 3.1933495847624727e-8 Iteration 24: convergence error = 9.18839759833645e-9 Iteration 25: convergence error = 2.6370798877906054e-9 Iteration 26: convergence error = 7.621565600857139e-10 Iteration 27: convergence error = 2.2009771782904863e-10 Iteration 28: convergence error = 6.411937647499144e-11 Iteration 29: convergence error = 1.978150976356119e-11 Converged after 29 iterations Writing spectral results to mesh... Spectral bin 1 results written: 25 volumes, 20 surfaces Spectral bin 2 results written: 25 volumes, 20 surfaces Spectral bin 3 results written: 25 volumes, 20 surfaces Spectral bin 4 results written: 25 volumes, 20 surfaces Spectral bin 5 results written: 25 volumes, 20 surfaces Spectral bin 6 results written: 25 volumes, 20 surfaces Spectral bin 7 results written: 25 volumes, 20 surfaces Spectral bin 8 results written: 25 volumes, 20 surfaces Spectral bin 9 results written: 25 volumes, 20 surfaces Spectral bin 10 results written: 25 volumes, 20 surfaces Uniform extinction detected across 10 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (10 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 78%|█████████████████████████▋ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015870921685725283 Iteration 10: d = 1.2937232418745438e-5 Iteration 20: d = 1.1272805980820677e-7 Iteration 30: d = 1.3100877602610327e-9 Iteration 40: d = 1.7137359923469886e-11 Iteration 50: d = 2.3378002671087204e-13 Iteration 60: d = 3.2368138977176104e-15 Converged after 61 iterations. d = 2.1049511836903396e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.961778466171 Iteration 2: convergence error = 4811.403130988921 Iteration 3: convergence error = 1090.468955942762 Iteration 4: convergence error = 318.32132431671357 Iteration 5: convergence error = 94.28653271700705 Iteration 6: convergence error = 28.089431851313293 Iteration 7: convergence error = 8.42621961435134 Iteration 8: convergence error = 2.523760821008409 Iteration 9: convergence error = 0.7541775143047289 Iteration 10: convergence error = 0.22507391557974188 Iteration 11: convergence error = 0.06711953349690702 Iteration 12: convergence error = 0.02000718916247024 Iteration 13: convergence error = 0.005962341540907801 Iteration 14: convergence error = 0.0017765881909781456 Iteration 15: convergence error = 0.0005293241979416052 Iteration 16: convergence error = 0.00015770177014928777 Iteration 17: convergence error = 4.698290013038786e-5 Iteration 18: convergence error = 1.3997034784551943e-5 Iteration 19: convergence error = 4.169921339780558e-6 Iteration 20: convergence error = 1.2422817690094234e-6 Iteration 21: convergence error = 3.70085444956203e-7 Iteration 22: convergence error = 1.1011093192792032e-7 Iteration 23: convergence error = 3.188461050740443e-8 Iteration 24: convergence error = 9.186123861582018e-9 Iteration 25: convergence error = 2.644355845404789e-9 Iteration 26: convergence error = 7.528342393925413e-10 Iteration 27: convergence error = 2.1373125491663814e-10 Iteration 28: convergence error = 6.184563972055912e-11 Iteration 29: convergence error = 1.864464138634503e-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: 6:51:47 Bin 1 ray tracing: 9%|██▊ | ETA: 0:00:35 Bin 1 ray tracing: 18%|█████▎ | ETA: 0:00:22 Bin 1 ray tracing: 26%|███████▊ | ETA: 0:00:16 Bin 1 ray tracing: 34%|██████████▏ | ETA: 0:00:13 Bin 1 ray tracing: 42%|████████████▌ | ETA: 0:00:11 Bin 1 ray tracing: 50%|██████████████▉ | ETA: 0:00:09 Bin 1 ray tracing: 58%|█████████████████▍ | ETA: 0:00:07 Bin 1 ray tracing: 66%|███████████████████▉ | ETA: 0:00:05 Bin 1 ray tracing: 75%|██████████████████████▍ | ETA: 0:00:04 Bin 1 ray tracing: 83%|█████████████████████████ | ETA: 0:00:03 Bin 1 ray tracing: 92%|███████████████████████████▌ | ETA: 0:00:01 Bin 1 ray tracing: 99%|█████████████████████████████▉| ETA: 0:00:00 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:14 Updating spectral results for spectral bin 1 Energy per ray: 0.0 Processing spectral bin 2/10 ┌ Warning: No emitters found for spectral bin 2 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 2 ray tracing: 8%|██▎ | ETA: 0:00:12 Bin 2 ray tracing: 15%|████▋ | ETA: 0:00:11 Bin 2 ray tracing: 23%|███████ | ETA: 0:00:10 Bin 2 ray tracing: 32%|█████████▌ | ETA: 0:00:09 Bin 2 ray tracing: 40%|████████████ | ETA: 0:00:07 Bin 2 ray tracing: 49%|██████████████▋ | ETA: 0:00:06 Bin 2 ray tracing: 57%|█████████████████▎ | ETA: 0:00:05 Bin 2 ray tracing: 66%|███████████████████▊ | ETA: 0:00:04 Bin 2 ray tracing: 75%|██████████████████████▌ | ETA: 0:00:03 Bin 2 ray tracing: 84%|█████████████████████████▏ | ETA: 0:00:02 Bin 2 ray tracing: 92%|███████████████████████████▊ | ETA: 0:00:01 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:12 Updating spectral results for spectral bin 2 Energy per ray: 0.0 Processing spectral bin 3/10 ┌ Warning: No emitters found for spectral bin 3 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 3 ray tracing: 8%|██▌ | ETA: 0:00:11 Bin 3 ray tracing: 17%|█████▏ | ETA: 0:00:10 Bin 3 ray tracing: 26%|███████▋ | ETA: 0:00:09 Bin 3 ray tracing: 34%|██████████▎ | ETA: 0:00:08 Bin 3 ray tracing: 43%|████████████▊ | ETA: 0:00:07 Bin 3 ray tracing: 51%|███████████████▎ | ETA: 0:00:06 Bin 3 ray tracing: 59%|█████████████████▉ | ETA: 0:00:05 Bin 3 ray tracing: 68%|████████████████████▌ | ETA: 0:00:04 Bin 3 ray tracing: 77%|███████████████████████ | ETA: 0:00:03 Bin 3 ray tracing: 85%|█████████████████████████▋ | ETA: 0:00:02 Bin 3 ray tracing: 94%|████████████████████████████▎ | ETA: 0:00:01 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 9%|██▉ | ETA: 0:00:10 Bin 4 ray tracing: 18%|█████▌ | ETA: 0:00:09 Bin 4 ray tracing: 27%|████████▏ | ETA: 0:00:08 Bin 4 ray tracing: 36%|██████████▉ | ETA: 0:00:07 Bin 4 ray tracing: 45%|█████████████▋ | ETA: 0:00:06 Bin 4 ray tracing: 54%|████████████████▎ | ETA: 0:00:05 Bin 4 ray tracing: 63%|███████████████████ | ETA: 0:00:04 Bin 4 ray tracing: 72%|█████████████████████▊ | ETA: 0:00:03 Bin 4 ray tracing: 81%|████████████████████████▍ | ETA: 0:00:02 Bin 4 ray tracing: 90%|███████████████████████████ | ETA: 0:00:01 Bin 4 ray tracing: 99%|█████████████████████████████▊| ETA: 0:00:00 Bin 4 ray tracing: 100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 4 Energy per ray: 0.0001853335835185918 Processing spectral bin 5/10 Bin 5 ray tracing: 9%|██▋ | ETA: 0:00:10 Bin 5 ray tracing: 18%|█████▎ | ETA: 0:00:09 Bin 5 ray tracing: 27%|████████ | ETA: 0:00:08 Bin 5 ray tracing: 36%|██████████▉ | ETA: 0:00:07 Bin 5 ray tracing: 45%|█████████████▋ | ETA: 0:00:06 Bin 5 ray tracing: 55%|████████████████▍ | ETA: 0:00:05 Bin 5 ray tracing: 64%|███████████████████▏ | ETA: 0:00:04 Bin 5 ray tracing: 73%|█████████████████████▉ | ETA: 0:00:03 Bin 5 ray tracing: 82%|████████████████████████▋ | ETA: 0:00:02 Bin 5 ray tracing: 91%|███████████████████████████▍ | ETA: 0:00:01 Bin 5 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 5 Energy per ray: 0.04303963948070305 Processing spectral bin 6/10 Bin 6 ray tracing: 9%|██▊ | ETA: 0:00:10 Bin 6 ray tracing: 19%|█████▋ | ETA: 0:00:09 Bin 6 ray tracing: 28%|████████▌ | ETA: 0:00:08 Bin 6 ray tracing: 38%|███████████▍ | ETA: 0:00:07 Bin 6 ray tracing: 47%|██████████████▎ | ETA: 0:00:06 Bin 6 ray tracing: 57%|█████████████████▏ | ETA: 0:00:05 Bin 6 ray tracing: 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100%|██████████████████████████████| Time: 0:00:11 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 10%|██▉ | ETA: 0:00:10 Bin 8 ray tracing: 19%|█████▊ | ETA: 0:00:09 Bin 8 ray tracing: 28%|████████▍ | ETA: 0:00:08 Bin 8 ray tracing: 37%|███████████▏ | ETA: 0:00:07 Bin 8 ray tracing: 47%|██████████████ | ETA: 0:00:06 Bin 8 ray tracing: 56%|████████████████▉ | ETA: 0:00:05 Bin 8 ray tracing: 66%|███████████████████▊ | ETA: 0:00:04 Bin 8 ray tracing: 75%|██████████████████████▌ | ETA: 0:00:03 Bin 8 ray tracing: 85%|█████████████████████████▍ | ETA: 0:00:02 Bin 8 ray tracing: 94%|████████████████████████████▏ | ETA: 0:00:01 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: 20%|█████▉ | ETA: 0:00:08 Bin 9 ray tracing: 29%|████████▊ | ETA: 0:00:07 Bin 9 ray tracing: 39%|███████████▋ | ETA: 0:00:06 Bin 9 ray tracing: 48%|██████████████▌ | ETA: 0:00:05 Bin 9 ray tracing: 58%|█████████████████▎ | ETA: 0:00:04 Bin 9 ray tracing: 67%|████████████████████ | ETA: 0:00:04 Bin 9 ray tracing: 76%|██████████████████████▊ | ETA: 0:00:03 Bin 9 ray tracing: 85%|█████████████████████████▌ | ETA: 0:00:02 Bin 9 ray tracing: 94%|████████████████████████████▎ | ETA: 0:00:01 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 9%|██▋ | ETA: 0:00:10 Bin 10 ray tracing: 18%|█████▎ | ETA: 0:00:09 Bin 10 ray tracing: 27%|███████▉ | ETA: 0:00:08 Bin 10 ray tracing: 37%|██████████▋ | ETA: 0:00:07 Bin 10 ray tracing: 46%|█████████████▎ | ETA: 0:00:06 Bin 10 ray tracing: 55%|████████████████▏ | ETA: 0:00:05 Bin 10 ray tracing: 65%|██████████████████▉ | ETA: 0:00:04 Bin 10 ray tracing: 74%|█████████████████████▌ | ETA: 0:00:03 Bin 10 ray tracing: 83%|████████████████████████▎ | ETA: 0:00:02 Bin 10 ray tracing: 93%|██████████████████████████▉ | ETA: 0:00:01 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:10 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Variable extinction detected - using variable ray tracing Found spectral variation: bin 2, face (1,1) β = 1.001111111111111 vs reference β = 1.0 Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing 10 separate F matrices for variable spectral extinction Computing F matrix for spectral bin 1/10 Using 1 threads for spectral bin 1 Bin 1 progress: 24%|████████▏ | ETA: 0:00:03 Bin 1 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 1 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 2/10 Using 1 threads for spectral bin 2 Bin 2 progress: 24%|████████▏ | ETA: 0:00:03 Bin 2 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 2 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 2 progress: 98%|████████████████████████████████▎| ETA: 0:00:00 Bin 2 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 3/10 Using 1 threads for spectral bin 3 Bin 3 progress: 24%|████████▏ | ETA: 0:00:03 Bin 3 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 3 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 3 progress: 98%|████████████████████████████████▎| ETA: 0:00:00 Bin 3 progress: 100%|█████████████████████████████████| Time: 0:00:04 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: 49%|████████████████▏ | ETA: 0:00:02 Bin 4 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 4 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 5/10 Using 1 threads for spectral bin 5 Bin 5 progress: 27%|████████▊ | ETA: 0:00:03 Bin 5 progress: 51%|████████████████▉ | ETA: 0:00:02 Bin 5 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 5 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 6/10 Using 1 threads for spectral bin 6 Bin 6 progress: 24%|████████▏ | ETA: 0:00:03 Bin 6 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 6 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 6 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 7/10 Using 1 threads for spectral bin 7 Bin 7 progress: 24%|████████▏ | ETA: 0:00:03 Bin 7 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 7 progress: 73%|████████████████████████▎ | ETA: 0:00:01 Bin 7 progress: 98%|████████████████████████████████▎| ETA: 0:00:00 Bin 7 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 8/10 Using 1 threads for spectral bin 8 Bin 8 progress: 24%|████████▏ | ETA: 0:00:03 Bin 8 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 8 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 8 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 9/10 Using 1 threads for spectral bin 9 Bin 9 progress: 24%|████████▏ | ETA: 0:00:03 Bin 9 progress: 49%|████████████████▏ | ETA: 0:00:02 Bin 9 progress: 76%|████████████████████████▉ | ETA: 0:00:01 Bin 9 progress: 100%|█████████████████████████████████| Time: 0:00:04 Computing F matrix for spectral bin 10/10 Using 1 threads for spectral bin 10 Bin 10 progress: 24%|███████▉ | ETA: 0:00:03 Bin 10 progress: 49%|███████████████▋ | ETA: 0:00:02 Bin 10 progress: 73%|███████████████████████▌ | ETA: 0:00:01 Bin 10 progress: 98%|███████████████████████████████▎| ETA: 0:00:00 Bin 10 progress: 100%|████████████████████████████████| Time: 0:00:04 Smoothing F matrix for spectral bin 1/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015870921685725283 Iteration 10: d = 1.2937232418745438e-5 Iteration 20: d = 1.1272805980820677e-7 Iteration 30: d = 1.3100877602610327e-9 Iteration 40: d = 1.7137359923469886e-11 Iteration 50: d = 2.3378002671087204e-13 Iteration 60: d = 3.2368138977176104e-15 Converged after 61 iterations. d = 2.1049511836903396e-15 Smoothing F matrix for spectral bin 2/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014397273810940845 Iteration 10: d = 1.431345987428794e-5 Iteration 20: d = 1.3993549598395303e-7 Iteration 30: d = 1.6637284766951753e-9 Iteration 40: d = 2.1679760883151967e-11 Iteration 50: d = 2.957270077105002e-13 Iteration 60: d = 4.1890301289679034e-15 Converged after 62 iterations. d = 1.771565953751121e-15 Smoothing F matrix for spectral bin 3/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001214538039393407 Iteration 10: d = 1.0727050283439382e-5 Iteration 20: d = 9.275039135082009e-8 Iteration 30: d = 9.244400026031171e-10 Iteration 40: d = 1.0132426838858604e-11 Iteration 50: d = 1.2204714630723602e-13 Converged after 60 iterations. d = 1.592190289961748e-15 Smoothing F matrix for spectral bin 4/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014466414386425422 Iteration 10: d = 1.4266310422440045e-5 Iteration 20: d = 1.7875308485802868e-7 Iteration 30: d = 2.427699407203762e-9 Iteration 40: d = 3.334665375713727e-11 Iteration 50: d = 4.598948011518867e-13 Iteration 60: d = 6.369319518549584e-15 Converged after 63 iterations. d = 1.7262766208112728e-15 Smoothing F matrix for spectral bin 5/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0012487143454981654 Iteration 10: d = 1.367455126573736e-5 Iteration 20: d = 1.6918924228835556e-7 Iteration 30: d = 2.2839322680043415e-9 Iteration 40: d = 3.155814668563235e-11 Iteration 50: d = 4.401560087540143e-13 Iteration 60: d = 6.2173053697968566e-15 Converged after 63 iterations. d = 1.7282944444901238e-15 Smoothing F matrix for spectral bin 6/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014305496264339246 Iteration 10: d = 1.6016913066119945e-5 Iteration 20: d = 2.0096471316833487e-7 Iteration 30: d = 2.7791179175379023e-9 Iteration 40: d = 3.8935039020403045e-11 Iteration 50: d = 5.46966982400196e-13 Iteration 60: d = 7.639239665953865e-15 Converged after 63 iterations. d = 2.1491724891495517e-15 Smoothing F matrix for spectral bin 7/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0014602959693146712 Iteration 10: d = 1.3994706586336038e-5 Iteration 20: d = 1.422901559961679e-7 Iteration 30: d = 1.7273818975056868e-9 Iteration 40: d = 2.2497160751303014e-11 Iteration 50: d = 3.0388638840435763e-13 Iteration 60: d = 4.217353901046924e-15 Converged after 62 iterations. d = 1.7516949467539194e-15 Smoothing F matrix for spectral bin 8/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001216143895439825 Iteration 10: d = 1.3146972608308266e-5 Iteration 20: d = 1.3297964069923209e-7 Iteration 30: d = 1.6069142688930255e-9 Iteration 40: d = 2.0927531240009895e-11 Iteration 50: d = 2.8160698180366956e-13 Iteration 60: d = 3.853732966446314e-15 Converged after 62 iterations. d = 1.6127567593605645e-15 Smoothing F matrix for spectral bin 9/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001124677618157247 Iteration 10: d = 1.1017778792436222e-5 Iteration 20: d = 1.3233185472472284e-7 Iteration 30: d = 1.7367767303885786e-9 Iteration 40: d = 2.3317448658360323e-11 Iteration 50: d = 3.1685496466401474e-13 Iteration 60: d = 4.322944420140286e-15 Converged after 62 iterations. d = 1.8488254462571474e-15 Smoothing F matrix for spectral bin 10/10 Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001710399852292345 Iteration 10: d = 1.5625801017022806e-5 Iteration 20: d = 1.7039637128285666e-7 Iteration 30: d = 2.236066215570183e-9 Iteration 40: d = 3.0442754395074004e-11 Iteration 50: d = 4.188729996109336e-13 Iteration 60: d = 5.773139817651878e-15 Converged after 63 iterations. d = 1.6247867973178572e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8650.968461370814 Iteration 2: convergence error = 4815.488734380167 Iteration 3: convergence error = 1101.4186921976698 Iteration 4: convergence error = 314.02298664905607 Iteration 5: convergence error = 93.02532647571684 Iteration 6: convergence error = 28.044756489690144 Iteration 7: convergence error = 8.440140764450916 Iteration 8: convergence error = 2.5313792442052545 Iteration 9: convergence error = 0.7576273967952147 Iteration 10: convergence error = 0.22647506674411488 Iteration 11: convergence error = 0.06765140625589083 Iteration 12: convergence error = 0.02020022022111334 Iteration 13: convergence error = 0.006030225581525883 Iteration 14: convergence error = 0.0017999164367665799 Iteration 15: convergence error = 0.000537201488214123 Iteration 16: convergence error = 0.00016032542544053285 Iteration 17: convergence error = 4.7847154519331525e-5 Iteration 18: convergence error = 1.4279177548814914e-5 Iteration 19: convergence error = 4.261343974576448e-6 Iteration 20: convergence error = 1.271706651095883e-6 Iteration 21: convergence error = 3.795139491558075e-7 Iteration 22: convergence error = 1.1312886272207834e-7 Iteration 23: convergence error = 3.2891648515942506e-8 Iteration 24: convergence error = 9.48807610257063e-9 Iteration 25: convergence error = 2.7284841053187847e-9 Iteration 26: convergence error = 7.853486749809235e-10 Iteration 27: convergence error = 2.2350832296069711e-10 Iteration 28: convergence error = 6.434675015043467e-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 Iter 1: T = 967.3283593445004 K, F = -7444.264402109171, relative_change = 0.0326716406554996 Iter 2: T = 936.731971283707 K, F = -6310.285089664868, relative_change = 0.031629785031348306 Iter 3: T = 908.1794644131313 K, F = -5347.533045302929, relative_change = 0.030480978279674928 Iter 5: T = 857.0675955144701 K, F = -3836.569155095023, relative_change = 0.027868147737547675 Iter 10: T = 762.0350961353826 K, F = -1661.2053491093677, relative_change = 0.019944468533808345 Iter 15: T = 706.4185073740296 K, F = -711.2152603905985, relative_change = 0.011944089704371535 Iter 20: T = 677.8266098049887 K, F = -301.4247201172302, relative_change = 0.006113804294232627 Iter 25: T = 664.4969599387709 K, F = -126.89106416483341, relative_change = 0.002823582441659193 Iter 30: T = 658.6296043975804 K, F = -53.22570777861607, relative_change = 0.00123497998267932 Iter 35: T = 656.119643522589 K, F = -22.28839453444499, relative_change = 0.0005265993670772499 Iter 40: T = 655.0597170517526 K, F = -9.326387363701263, relative_change = 0.00022205074241791223 Iter 45: T = 654.614622347795 K, F = -3.9013073492605277, relative_change = 9.31865750295692e-5 Iter 50: T = 654.4281576196411 K, F = -1.6317313311133057, relative_change = 3.9028397319025546e-5 Iter 55: T = 654.3501195605295 K, F = -0.6824371988275062, relative_change = 1.6332072702253596e-5 Iter 60: T = 654.3174732555595 K, F = -0.28540822837039814, relative_change = 6.832006317920318e-6 Iter 65: T = 654.3038184560668 K, F = -0.11936197659669978, relative_change = 2.8575308068200536e-6 Iter 70: T = 654.298107554096 K, F = -0.04991875224170517, relative_change = 1.1951067179314312e-6 Iter 75: T = 654.2957191339082 K, F = -0.020876644252140586, relative_change = 4.998172087769264e-7 Iter 80: T = 654.2947202588302 K, F = -0.008730866476732269, relative_change = 2.0903115357441294e-7 Iter 85: T = 654.2943025157289 K, F = -0.0036513534206759624, relative_change = 8.741960946768544e-8 Iter 90: T = 654.2941278102926 K, F = -0.0015270397444663297, relative_change = 3.655997446091464e-8 Iter 95: T = 654.2940547463435 K, F = -0.0006386262825084921, relative_change = 1.528982665736409e-8 Iter 100: T = 654.2940241901188 K, F = -0.0002670811432939346, relative_change = 6.394389652035332e-9 Iter 105: T = 654.2940114111391 K, F = -0.00011169652433362653, relative_change = 2.674210380310501e-9 Iter 110: T = 654.2940060668169 K, F = -4.671282080959127e-5, relative_change = 1.1183867708131824e-9 Iter 115: T = 654.2940038317575 K, F = -1.953586030944976e-5, relative_change = 4.677227301459663e-10 Iter 120: T = 654.2940028970289 K, F = -8.170129937035142e-6, relative_change = 1.9560722923169312e-10 Iter 125: T = 654.2940025061143 K, F = -3.4168459649430716e-6, relative_change = 8.180528081756744e-11 Iter 130: T = 654.2940023426291 K, F = -1.4289664391209378e-6, relative_change = 3.4211961021830225e-11 Iter 135: T = 654.2940022742577 K, F = -5.976104787142056e-7, relative_change = 1.4307842265880668e-11 Iter 140: T = 654.2940022456638 K, F = -2.499275271183876e-7, relative_change = 5.983703037385391e-12 Iter 145: T = 654.2940022337057 K, F = -1.0452281368200644e-7, relative_change = 2.5024593527997065e-12 Iter 150: T = 654.2940022287046 K, F = -4.371277873005397e-8, relative_change = 1.046560536598909e-12 Iter 155: T = 654.2940022266131 K, F = -1.828169443607308e-8, relative_change = 4.3769580646884415e-13 Converged in 159 iterations to T = 654.2940022258582 K Iter 1: T = 970.4114798584584 K, F = -6741.772460199108, relative_change = 0.029588520141541653 Iter 2: T = 942.9885792382804 K, F = -5710.019946072497, relative_change = 0.028259043910092495 Iter 3: T = 917.6861302091502 K, F = -4834.413281480446, relative_change = 0.02683219032150828 Iter 5: T = 873.2244813364935 K, F = -3461.2857032143884, relative_change = 0.02373216711566042 Iter 10: T = 794.3777116566155 K, F = -1489.6454308462137, relative_change = 0.015426669487314816 Iter 15: T = 751.4734913676441 K, F = -634.0398074231634, relative_change = 0.008434086691344591 Iter 20: T = 730.6670335530414 K, F = -267.61329913360777, relative_change = 0.004053727610890395 Iter 25: T = 721.3074350838228 K, F = -112.40225728590782, relative_change = 0.0018089444930035916 Iter 30: T = 717.2617517764369 K, F = -47.097269963735755, relative_change = 0.000778408524551757 Iter 35: T = 715.5454107068897 K, F = -19.712641201245276, relative_change = 0.0003295322851485432 Iter 40: T = 714.8232398702002 K, F = -8.246889370082512, relative_change = 0.00013852527598548787 Iter 45: T = 714.520445558987 K, F = -3.4494442856691374, relative_change = 5.805821253248804e-5 Iter 50: T = 714.3936773939529 K, F = -1.4426858200312296, relative_change = 2.4302620454497725e-5 Iter 55: T = 714.340637606696 K, F = -0.6033636714630403, relative_change = 1.016749600455073e-5 Iter 60: T = 714.3184515635647 K, F = -0.2523365580299543, relative_change = 4.252841979930057e-6 Iter 65: T = 714.3091723656703 K, F = -0.10553062824864634, relative_change = 1.7787071681538965e-6 Iter 70: T = 714.3052915666511 K, F = -0.04413425056164333, relative_change = 7.438971961397447e-7 Iter 75: T = 714.3036685478289 K, F = -0.018457484915375022, relative_change = 3.111102973213948e-7 Iter 80: T = 714.3029897780698 K, F = -0.0077191431132881405, relative_change = 1.3011067245441268e-7 Iter 85: T = 714.3027059077672 K, F = -0.003228238270815309, relative_change = 5.441394735627701e-8 Iter 90: T = 714.3025871896971 K, F = -0.0013500878723349263, relative_change = 2.2756581881831505e-8 Iter 95: T = 714.3025375403616 K, F = -0.0005646228854171431, relative_change = 9.517077695296082e-9 Iter 100: T = 714.3025167764131 K, F = -0.00023613203731065457, relative_change = 3.9801561617535856e-9 Iter 105: T = 714.302508092681 K, F = -9.875323878649755e-5, relative_change = 1.6645489492912517e-9 Iter 110: T = 714.3025044610405 K, F = -4.1299783657633427e-5, relative_change = 6.96134263565585e-10 Iter 115: T = 714.302502942245 K, F = -1.7272062679873912e-5, relative_change = 2.91131664400647e-10 Iter 120: T = 714.3025023070666 K, F = -7.223382894827601e-6, relative_change = 1.2175473958464347e-10 Iter 125: T = 714.3025020414274 K, F = -3.0209055076335645e-6, relative_change = 5.091929493400639e-11 Iter 130: T = 714.302501930334 K, F = -1.2633786181659445e-6, relative_change = 2.129505486245358e-11 Iter 135: T = 714.3025018838733 K, F = -5.283599989747145e-7, relative_change = 8.90584580662812e-12 Iter 140: T = 714.3025018644429 K, F = -2.20966858699434e-7, relative_change = 3.724537769751161e-12 Iter 145: T = 714.3025018563169 K, F = -9.241074150345696e-8, relative_change = 1.5576421690781842e-12 Iter 150: T = 714.3025018529185 K, F = -3.864691988653135e-8, relative_change = 6.514185595984984e-13 Iter 155: T = 714.3025018514971 K, F = -1.6161994409458202e-8, relative_change = 2.7242075563742726e-13 Converged in 157 iterations to T = 714.3025018511963 K Iter 1: T = 974.3299542347862 K, F = -5848.944346121403, relative_change = 0.02567004576521383 Iter 2: T = 950.8497251213283 K, F = -4948.529847606098, relative_change = 0.02409884763514084 Iter 3: T = 929.4852761707459 K, F = -4184.924962540636, relative_change = 0.022468796473445157 Iter 5: T = 892.7532313644272 K, F = -2988.9680891415323, relative_change = 0.019116011375702992 Iter 10: T = 830.8174310131379 K, F = -1278.2637755518558, relative_change = 0.011252625833819786 Iter 15: T = 799.3373435117451 K, F = -541.3027120905978, relative_change = 0.00568742736355989 Iter 20: T = 784.7683777038536 K, F = -227.7648446040502, relative_change = 0.00260785653565094 Iter 25: T = 778.380088997774 K, F = -95.51615549307795, relative_change = 0.0011366613854818333 Iter 30: T = 775.6521573958879 K, F = -39.99348627716447, relative_change = 0.00048392293172269354 Iter 35: T = 774.5010858678779 K, F = -16.734185519766314, relative_change = 0.00020391893724647654 Iter 40: T = 774.0178780648486 K, F = -6.999920413643, relative_change = 8.555309106617194e-5 Iter 45: T = 773.8154750300309 K, F = -2.9277105943508066, relative_change = 3.5827077531245815e-5 Iter 50: T = 773.730771578496 K, F = -1.224449109127084, relative_change = 1.4991680140318514e-5 Iter 55: T = 773.6953377624884 K, F = -0.5120872151115368, relative_change = 6.271164524782833e-6 Iter 60: T = 773.6805171989089 K, F = -0.21416238398881993, relative_change = 2.622932189569532e-6 Iter 65: T = 773.6743187615862 K, F = -0.0895655106188088, relative_change = 1.0969863981053466e-6 Iter 70: T = 773.6717264484865 K, F = -0.03745740884892812, relative_change = 4.5878065403425663e-7 Iter 75: T = 773.6706423029921 K, F = -0.01566514317830847, relative_change = 1.9186892003139576e-7 Iter 80: T = 773.6701888987901 K, F = -0.006551351262554128, relative_change = 8.024211362594733e-8 Iter 85: T = 773.6699992794569 K, F = -0.002739853565064121, relative_change = 3.355825215703958e-8 Iter 90: T = 773.6699199783379 K, F = -0.0011458395201393579, relative_change = 1.4034469142570945e-8 Iter 95: T = 773.6698868136543 K, F = -0.0004792037793699411, relative_change = 5.869383896260667e-9 Iter 100: T = 773.6698729437861 K, F = -0.0002004087453917336, relative_change = 2.454646674158231e-9 Iter 105: T = 773.6698671432412 K, F = -8.381332915707862e-5, relative_change = 1.0265625714458165e-9 Iter 110: T = 773.6698647173841 K, F = -3.505173572981857e-5, relative_change = 4.29320740072124e-10 Iter 115: T = 773.6698637028617 K, F = -1.4659055341370575e-5, relative_change = 1.795470722396875e-10 Iter 120: T = 773.6698632785764 K, F = -6.1305929057731134e-6, relative_change = 7.508874102498231e-11 Iter 125: T = 773.6698631011352 K, F = -2.5638889863399683e-6, relative_change = 3.1403030552072924e-11 Iter 130: T = 773.669863026927 K, F = -1.0722497992832203e-6, relative_change = 1.3133132285025357e-11 Iter 135: T = 773.6698629958923 K, F = -4.484271983740129e-7, relative_change = 5.492426971318503e-12 Iter 140: T = 773.6698629829132 K, F = -1.87536887352735e-7, relative_change = 2.296989705420256e-12 Iter 145: T = 773.6698629774852 K, F = -7.842913396505224e-8, relative_change = 9.606158866758099e-13 Iter 150: T = 773.6698629752151 K, F = -3.279893967533809e-8, relative_change = 4.01728043213265e-13 Converged in 154 iterations to T = 773.6698629743959 K Iter 1: T = 970.3686984018733 K, F = -6751.520255777684, relative_change = 0.029631301598126707 Iter 2: T = 942.9021956990558 K, F = -5718.34255721873, relative_change = 0.02830522331156483 Iter 3: T = 917.5555838816998 K, F = -4841.520660034644, relative_change = 0.02688148562276324 Iter 5: T = 873.005256633438 K, F = -3466.4705056639646, relative_change = 0.02378631878644703 Iter 10: T = 793.9533595300437 K, F = -1491.991503458506, relative_change = 0.015480626692972432 Iter 15: T = 750.8999025273343 K, F = -635.0814203512421, relative_change = 0.008472468839674915 Iter 20: T = 730.0075855431164 K, F = -268.06473629116925, relative_change = 0.0040749091831334345 Iter 25: T = 720.6058734336543 K, F = -112.59446265412411, relative_change = 0.001819030023415758 Iter 30: T = 716.5412478724828 K, F = -47.17830956010811, relative_change = 0.0007828743958471836 Iter 35: T = 714.8167299690057 K, F = -19.746652848459313, relative_change = 0.00033144616783168784 Iter 40: T = 714.0910930800059 K, F = -8.261134807099811, relative_change = 0.00013933398617195538 Iter 45: T = 713.7868409700842 K, F = -3.455405662290002, relative_change = 5.8397893351874745e-5 Iter 50: T = 713.6594616822343 K, F = -1.4451795995125734, relative_change = 2.444493711157068e-5 Iter 55: T = 713.6061660610537 K, F = -0.6044067155167914, relative_change = 1.0227059759261947e-5 Iter 60: T = 713.5838729804536 K, F = -0.2527727917557022, relative_change = 4.27776017072775e-6 Iter 65: T = 713.5745490103951 K, F = -0.10571306994547491, relative_change = 1.7891296383681257e-6 Iter 70: T = 713.5706494857548 K, F = -0.04421055047727551, relative_change = 7.482562399594418e-7 Iter 75: T = 713.569018635415 K, F = -0.01848939455931886, relative_change = 3.129333438817529e-7 Iter 80: T = 713.5683365903798 K, F = -0.007732488127292547, relative_change = 1.308730997254559e-7 Iter 85: T = 713.5680513503105 K, F = -0.00323381931816924, relative_change = 5.4732804839570476e-8 Iter 90: T = 713.5679320593863 K, F = -0.0013524219348695077, relative_change = 2.2889932137927728e-8 Iter 95: T = 713.5678821704761 K, F = -0.0005655990180453152, relative_change = 9.572846399551095e-9 Iter 100: T = 713.5678613063343 K, F = -0.0002365402647250825, relative_change = 4.003479257396441e-9 Iter 105: T = 713.5678525807004 K, F = -9.892396365251965e-5, relative_change = 1.6743029355278815e-9 Iter 110: T = 713.567848931536 K, F = -4.137118332647738e-5, relative_change = 7.002135055935357e-10 Iter 115: T = 713.5678474054118 K, F = -1.7301923778134665e-5, relative_change = 2.928376674643158e-10 Iter 120: T = 713.5678467671686 K, F = -7.235871335664612e-6, relative_change = 1.2246821337343556e-10 Iter 125: T = 713.5678465002476 K, F = -3.026128061578426e-6, relative_change = 5.121767380994002e-11 Iter 130: T = 713.567846388618 K, F = -1.2655632888325385e-6, relative_change = 2.1419849537936993e-11 Iter 135: T = 713.5678463419332 K, F = -5.29274114091649e-7, relative_change = 8.95804420982976e-12 Iter 140: T = 713.5678463224091 K, F = -2.2134908295168287e-7, relative_change = 3.74636661486416e-12 Iter 145: T = 713.5678463142439 K, F = -9.257164146347918e-8, relative_change = 1.5667889943621323e-12 Iter 150: T = 713.5678463108289 K, F = -3.871383447151544e-8, relative_change = 6.552374876580275e-13 Iter 155: T = 713.5678463094008 K, F = -1.6189277696199156e-8, relative_change = 2.7400596684788986e-13 Converged in 157 iterations to T = 713.5678463090986 K Iter 1: T = 969.3642808943695 K, F = -6980.377740310126, relative_change = 0.030635719105630475 Iter 2: T = 940.870604911468 K, F = -5913.793863040462, relative_change = 0.029394188072013726 Iter 3: T = 914.4796762089128 K, F = -5008.489005192347, relative_change = 0.028049477329604236 Iter 5: T = 867.81903117656 K, F = -3588.3790634276497, relative_change = 0.025082967918411393 Iter 10: T = 783.8040106232286 K, F = -1547.337392265446, relative_change = 0.01681143321499788 Iter 15: T = 737.0524174678604 K, F = -659.7527587971529, relative_change = 0.009444689677955049 Iter 20: T = 713.9928184809372 K, F = -278.79095207660566, relative_change = 0.00462096165623649 Iter 25: T = 703.5163069514223 K, F = -117.16956151422485, relative_change = 0.0020814629934263894 Iter 30: T = 698.9655839801271 K, F = -49.10900463532649, relative_change = 0.0008995856395717229 Iter 35: T = 697.0307073982634 K, F = -20.557267422999068, relative_change = 0.00038155910275117753 Iter 40: T = 696.2158057410168 K, F = -8.600709855541213, relative_change = 0.00016052642477046669 Iter 45: T = 695.873992211759 K, F = -3.597519888006303, relative_change = 6.730236530427069e-5 Iter 50: T = 695.730863782259 K, F = -1.5046309972024998, relative_change = 2.8176196781346883e-5 Iter 55: T = 695.6709745742435 K, F = -0.6292730707710704, relative_change = 1.1788797208051136e-5 Iter 60: T = 695.6459227320566 K, F = -0.2631727358952353, relative_change = 4.9311215154268185e-6 Iter 65: T = 695.635444797111 K, F = -0.11006254480047006, relative_change = 2.0624123643129184e-6 Iter 70: T = 695.6310626324635 K, F = -0.04602956925073998, relative_change = 8.625531983816305e-7 Iter 75: T = 695.6292299296424 K, F = -0.019250132810354592, relative_change = 3.607348965615308e-7 Iter 80: T = 695.628463466323 K, F = -0.008050638449740966, relative_change = 1.5086448971390258e-7 Iter 85: T = 695.6281429213151 K, F = -0.003366873670188064, relative_change = 6.309347957134185e-8 Iter 90: T = 695.6280088654084 K, F = -0.001408066871042557, relative_change = 2.638647260881544e-8 Iter 95: T = 695.6279528015999 K, F = -0.0005888703972760645, relative_change = 1.1035142499070868e-8 Iter 100: T = 695.6279293550409 K, F = -0.0002462726351903921, relative_change = 4.615029167091254e-9 Iter 105: T = 695.6279195494092 K, F = -0.00010299415874326368, relative_change = 1.9300604720980035e-9 Iter 110: T = 695.6279154485767 K, F = -4.307338872899802e-5, relative_change = 8.071743905957536e-10 Iter 115: T = 695.6279137335595 K, F = -1.8013805643146696e-5, relative_change = 3.375699751527624e-10 Iter 120: T = 695.6279130163188 K, F = -7.533588990749074e-6, relative_change = 1.4117580211986076e-10 Iter 125: T = 695.6279127163601 K, F = -3.150636192716938e-6, relative_change = 5.904139357138193e-11 Iter 130: T = 695.6279125909139 K, F = -1.3176342882337266e-6, relative_change = 2.4691827270118216e-11 Iter 135: T = 695.6279125384508 K, F = -5.510502809613627e-7, relative_change = 1.0326414909688697e-11 Iter 140: T = 695.62791251651 K, F = -2.304560338117767e-7, relative_change = 4.318634262897482e-12 Iter 145: T = 695.6279125073343 K, F = -9.638039499826334e-8, relative_change = 1.806121841345181e-12 Iter 150: T = 695.6279125034968 K, F = -4.030765921037016e-8, relative_change = 7.553459775359053e-13 Iter 155: T = 695.627912501892 K, F = -1.6858473506076166e-8, relative_change = 3.159196142819922e-13 Converged in 158 iterations to T = 695.627912501422 K Iter 1: T = 963.5630251367587 K, F = -8302.199383100628, relative_change = 0.036436974863241336 Iter 2: T = 929.0038135868843 K, F = -7044.691863555885, relative_change = 0.035866062362624795 Iter 3: T = 896.2888278084176 K, F = -5976.735540853828, relative_change = 0.0352151253848508 Iter 5: T = 836.2726728336031 K, F = -4299.6096102863585, relative_change = 0.033643942659901886 Iter 10: T = 716.5671318449463 K, F = -1878.9384772080905, relative_change = 0.027923472013949548 Iter 15: T = 636.9077994335441 K, F = -813.6327534324486, relative_change = 0.020010306686074914 Iter 20: T = 590.2396801325175 K, F = -348.3724935174659, relative_change = 0.011999841744797252 Iter 25: T = 566.2263544413755 K, F = -147.65574775708868, relative_change = 0.006148595876864982 Iter 30: T = 555.024628547349 K, F = -62.16117529401746, relative_change = 0.002841310567992417 Iter 35: T = 550.0923860890418 K, F = -26.07460938952523, relative_change = 0.001243088023708649 Iter 40: T = 547.9821433328343 K, F = -10.918898583539681, relative_change = 0.0005301243125814713 Iter 45: T = 547.09095584923 K, F = -4.568936080775858, relative_change = 0.00022354939355491882 Iter 50: T = 546.7167094141807 K, F = -1.9112278765418471, relative_change = 9.381768847374817e-5 Iter 55: T = 546.5599235293811 K, F = -0.7993762498176147, relative_change = 3.9293104863247986e-5 Iter 60: T = 546.4943061567137 K, F = -0.33432234049239506, relative_change = 1.6442911378303794e-5 Iter 65: T = 546.466855844126 K, F = -0.13981998339780088, relative_change = 6.878383987778482e-6 Iter 70: T = 546.4553743354595 K, F = -0.05847480459623022, relative_change = 2.8769306342791303e-6 Iter 75: T = 546.4505723759834 K, F = -0.02445493468354515, relative_change = 1.2032206803143736e-6 Iter 80: T = 546.4485640945036 K, F = -0.010227358516727125, relative_change = 5.032106912043836e-7 Iter 85: T = 546.44772419939 K, F = -0.004277205706096299, relative_change = 2.104503705393013e-7 Iter 90: T = 546.4473729438563 K, F = -0.0017887788975225194, relative_change = 8.80131468302787e-8 Iter 95: T = 546.4472260443582 K, F = -0.0007480887659634949, relative_change = 3.680819958191504e-8 Iter 100: T = 546.447164609192 K, F = -0.0003128596678135531, relative_change = 1.5393637468913157e-8 Iter 105: T = 546.4471389162644 K, F = -0.0001308416515810873, relative_change = 6.4378045761062114e-9 Iter 110: T = 546.447128171174 K, F = -5.4719541733166954e-5, relative_change = 2.692367032161249e-9 Iter 115: T = 546.4471236774485 K, F = -2.2884365415309915e-5, relative_change = 1.125980069584264e-9 Iter 120: T = 546.4471217981189 K, F = -9.570514881540593e-6, relative_change = 4.708983182687922e-10 Iter 125: T = 546.4471210121608 K, F = -4.002503002975555e-6, relative_change = 1.969352714249883e-10 Iter 130: T = 546.4471206834637 K, F = -1.67389434513332e-6, relative_change = 8.236067228295438e-11 Iter 135: T = 546.4471205459987 K, F = -7.000419595115659e-7, relative_change = 3.444418499191998e-11 Iter 140: T = 546.4471204885092 K, F = -2.9276591326232726e-7, relative_change = 1.4404969793271669e-11 Iter 145: T = 546.4471204644664 K, F = -1.224381598052826e-7, relative_change = 6.024328359319503e-12 Iter 150: T = 546.4471204544113 K, F = -5.120453247520196e-8, relative_change = 2.5194181097923514e-12 Iter 155: T = 546.4471204502063 K, F = -2.1414614914672114e-8, relative_change = 1.0536639243480975e-12 Iter 160: T = 546.4471204484478 K, F = -8.956212771416006e-9, relative_change = 4.4067279910346287e-13 Converged in 164 iterations to T = 546.447120447813 K Iter 1: T = 966.8428733551112 K, F = -7554.882846607898, relative_change = 0.03315712664488879 Iter 2: T = 935.7409557323584 K, F = -6404.895109750682, relative_change = 0.03216853377097747 Iter 3: T = 906.663951356023 K, F = -5428.501774089894, relative_change = 0.031073775491186343 Iter 5: T = 854.4546582508888 K, F = -3895.9727308731117, relative_change = 0.028565281182613162 Iter 10: T = 756.5822162867747 K, F = -1688.7223805943468, relative_change = 0.02079341320724698 Iter 15: T = 698.5176601415143 K, F = -723.8238810451135, relative_change = 0.012677418871657083 Iter 20: T = 668.3058205679157 K, F = -307.03952068248856, relative_change = 0.006577865390355257 Iter 25: T = 654.1085543920342 K, F = -129.3217730053032, relative_change = 0.0030619186972451534 Iter 30: T = 647.832785637827 K, F = -54.259174018561446, relative_change = 0.00134440280525887 Iter 35: T = 645.142775610744 K, F = -22.723780665235346, relative_change = 0.0005742523048690568 Iter 40: T = 644.0058233538687 K, F = -9.509044437570381, relative_change = 0.0002423256493721559 Iter 45: T = 643.5282048308807 K, F = -3.9777983364668605, relative_change = 0.00010172743731247676 Iter 50: T = 643.3280832562823 K, F = -1.6637386473222298, relative_change = 4.261115776042e-5 Iter 55: T = 643.2443240735146 K, F = -0.695826173800633, relative_change = 1.783233342973617e-5 Iter 60: T = 643.2092834319155 K, F = -0.2910082061164345, relative_change = 7.459767367203156e-6 Iter 65: T = 643.1946269956381 K, F = -0.12170405014236857, relative_change = 3.1201264427440066e-6 Iter 70: T = 643.1884971453052 K, F = -0.050898252157284274, relative_change = 1.304937577550105e-6 Iter 75: T = 643.1859335068309 K, F = -0.02128628575051611, relative_change = 5.457515750894101e-7 Iter 80: T = 643.184861351785 K, F = -0.008902183955745269, relative_change = 2.2824176704428856e-7 Iter 85: T = 643.1844129618484 K, F = -0.0037230005264918264, relative_change = 9.545377218482366e-8 Iter 90: T = 643.184225439491 K, F = -0.0015570034364905116, relative_change = 3.991996685486229e-8 Iter 95: T = 643.1841470153438 K, F = -0.0006511574592098501, relative_change = 1.669501728113414e-8 Iter 100: T = 643.1841142174187 K, F = -0.0002723218302541075, relative_change = 6.982057414213086e-9 Iter 105: T = 643.184100500933 K, F = -0.00011388824289465527, relative_change = 2.919980123109394e-9 Iter 110: T = 643.1840947645346 K, F = -4.762942320579722e-5, relative_change = 1.221170609070402e-9 Iter 115: T = 643.1840923655042 K, F = -1.9919193711082084e-5, relative_change = 5.107081444848873e-10 Iter 120: T = 643.1840913622011 K, F = -8.33044523212978e-6, relative_change = 2.1358426051469223e-10 Iter 125: T = 643.1840909426077 K, F = -3.4838913675061534e-6, relative_change = 8.932348068066294e-11 Iter 130: T = 643.1840907671286 K, F = -1.457004678129259e-6, relative_change = 3.735613877097586e-11 Iter 135: T = 643.1840906937413 K, F = -6.093366798909372e-7, relative_change = 1.5622781399606103e-11 Iter 140: T = 643.1840906630498 K, F = -2.548320394701875e-7, relative_change = 6.533637935394898e-12 Iter 145: T = 643.1840906502142 K, F = -1.0657368570976544e-7, relative_change = 2.732442425144095e-12 Iter 150: T = 643.1840906448463 K, F = -4.4570292623280494e-8, relative_change = 1.1427376059925302e-12 Iter 155: T = 643.1840906426012 K, F = -1.8639010890275642e-8, relative_change = 4.778855472905474e-13 Converged in 160 iterations to T = 643.1840906416624 K Iter 1: T = 965.1945158488558 K, F = -7930.462672400977, relative_change = 0.034805484151144206 Iter 2: T = 932.3642557864968 K, F = -6726.30159494981, relative_change = 0.03401413862519299 Iter 3: T = 901.4797727501913 K, F = -5703.760649171552, relative_change = 0.03312491104697361 Iter 5: T = 845.4350569129524 K, F = -4098.316219214178, relative_change = 0.03103421339258517 Iter 10: T = 737.2132079663434 K, F = -1783.3206421513778, relative_change = 0.024036957054816944 Iter 15: T = 669.576158763006 K, F = -767.8254201894326, relative_change = 0.015731721352157224 Iter 20: T = 632.5898858657275 K, F = -326.9357435987446, relative_change = 0.00865202091842016 Iter 25: T = 614.5876423573349 K, F = -138.02634553997115, relative_change = 0.004174345822478985 Iter 30: T = 606.4723925407228 K, F = -57.98107121211658, relative_change = 0.0018664648268309455 Iter 35: T = 602.9609480368713 K, F = -24.295921433070603, relative_change = 0.0008038968053211401 Iter 40: T = 601.4705595183963 K, F = -10.169369731420735, relative_change = 0.0003404589190948082 Iter 45: T = 600.8433350190497 K, F = -4.25445885400333, relative_change = 0.00014314294032255308 Iter 50: T = 600.5803277675953 K, F = -1.7795302573317302, relative_change = 5.999787021807886e-5 Iter 55: T = 600.4702129527687 K, F = -0.7442671987277225, relative_change = 2.5115301507879437e-5 Iter 60: T = 600.4241402345555 K, F = -0.3112695514685, relative_change = 1.0507630591444551e-5 Iter 65: T = 600.4048683297472 K, F = -0.13017806450435337, relative_change = 4.395136130532448e-6 Iter 70: T = 600.3968079339747 K, F = -0.05444226974363048, relative_change = 1.8382242953421956e-6 Iter 75: T = 600.3934368656203 K, F = -0.022768450849179833, relative_change = 7.687893714057304e-7 Iter 80: T = 600.3920270245341 K, F = -0.009522045658145961, relative_change = 3.215207474904815e-7 Iter 85: T = 600.3914374086495 K, F = -0.0039822345404104675, relative_change = 1.3446448992756334e-7 Iter 90: T = 600.3911908236321 K, F = -0.001665418275245134, relative_change = 5.623477334289655e-8 Iter 95: T = 600.3910876987256 K, F = -0.0006964978520510035, relative_change = 2.3518074381292275e-8 Iter 100: T = 600.3910445706396 K, F = -0.0002912837271230595, relative_change = 9.835543186783691e-9 Iter 105: T = 600.3910265339555 K, F = -0.00012181833418895005, relative_change = 4.113342238710147e-9 Iter 110: T = 600.3910189907983 K, F = -5.094588273141243e-5, relative_change = 1.7202489695615793e-9 Iter 115: T = 600.3910158361599 K, F = -2.130617659867884e-5, relative_change = 7.194286817890386e-10 Iter 120: T = 600.3910145168522 K, F = -8.910497556191554e-6, relative_change = 3.008736714590845e-10 Iter 125: T = 600.391013965102 K, F = -3.726475883536473e-6, relative_change = 1.2582894260599215e-10 Iter 130: T = 600.3910137343536 K, F = -1.5584565878357104e-6, relative_change = 5.262316221336351e-11 Iter 135: T = 600.3910136378519 K, F = -6.517652124671258e-7, relative_change = 2.2007636782851776e-11 Iter 140: T = 600.3910135974936 K, F = -2.725753122656549e-7, relative_change = 9.203833459487194e-12 Iter 145: T = 600.3910135806153 K, F = -1.1399472227280327e-7, relative_change = 3.8491689892195724e-12 Iter 150: T = 600.3910135735567 K, F = -4.7674334813230246e-8, relative_change = 1.6097812907151502e-12 Iter 155: T = 600.3910135706046 K, F = -1.993753601103876e-8, relative_change = 6.732148981211226e-13 Iter 160: T = 600.39101356937 K, F = -8.337796009172393e-9, relative_change = 2.815357167413688e-13 Converged in 162 iterations to T = 600.3910135691087 K Iter 1: T = 980.0723381254561 K, F = -4540.536714215005, relative_change = 0.019927661874543937 Iter 2: T = 962.1913985085625 K, F = -3835.476528810206, relative_change = 0.018244510044119453 Iter 3: T = 946.2367761525487 K, F = -3238.3889293015873, relative_change = 0.01658154747667063 Iter 5: T = 919.584809077303 K, F = -2305.426566967879, relative_change = 0.013405257419294988 Iter 10: T = 877.2419050623771 K, F = -978.8081549439382, relative_change = 0.007051035827175832 Iter 15: T = 857.1825529002629 K, F = -412.48308929985325, relative_change = 0.0033088323426112374 Iter 20: T = 848.276600941555 K, F = -173.1104351131063, relative_change = 0.0014586608001760895 Iter 25: T = 844.4512840323138 K, F = -72.50752176864115, relative_change = 0.0006241883303363043 Iter 30: T = 842.8330042366792 K, F = -30.34324666456982, relative_change = 0.0002636046545399323 Iter 35: T = 842.1529196218727 K, F = -12.693388348553828, relative_change = 0.00011069712987827865 Iter 40: T = 841.8679177655138 K, F = -5.309137404069451, relative_change = 4.637483895647655e-5 Iter 45: T = 841.748624358195 K, F = -2.2204516524401656, relative_change = 1.940853509819683e-5 Iter 50: T = 841.6987165234348 K, F = -0.9286381219780309, relative_change = 8.11933651515045e-6 Iter 55: T = 841.6778413369191 K, F = -0.3883708283604903, relative_change = 3.3960331299206286e-6 Iter 60: T = 841.6691105363304 K, F = -0.16242189146469332, relative_change = 1.4203367693552529e-6 Iter 65: T = 841.6654591153507 K, F = -0.06792687493370897, relative_change = 5.940149453523017e-7 Iter 70: T = 841.6639320307152 K, F = -0.028407847835319355, relative_change = 2.4842644346700735e-7 Iter 75: T = 841.6632933827494 K, F = -0.011880504289622396, relative_change = 1.0389530764293727e-7 Iter 80: T = 841.66302629203 K, F = -0.004968569310756621, relative_change = 4.345032874568945e-8 Iter 85: T = 841.6629145914117 K, F = -0.002077915116373674, relative_change = 1.817145868685104e-8 Iter 90: T = 841.6628678768635 K, F = -0.0008690089326486294, relative_change = 7.599523179146408e-9 Iter 95: T = 841.6628483402787 K, F = -0.00036342991683269155, relative_change = 3.1782117288353107e-9 Iter 100: T = 841.6628401698453 K, F = -0.00015199073147664777, relative_change = 1.3291661621870121e-9 Iter 105: T = 841.6628367528723 K, F = -6.356434070897699e-5, relative_change = 5.55873187821415e-10 Iter 110: T = 841.6628353238535 K, F = -2.6583368809562913e-5, relative_change = 2.3247282859922913e-10 Iter 115: T = 841.6628347262206 K, F = -1.1117481477862512e-5, relative_change = 9.722290629569391e-11 Iter 120: T = 841.6628344762835 K, F = -4.6494640248972985e-6, relative_change = 4.065978493033935e-11 Iter 125: T = 841.6628343717567 K, F = -1.944459488090189e-6, relative_change = 1.70043910900033e-11 Iter 130: T = 841.6628343280424 K, F = -8.1319686073833e-7, relative_change = 7.111445386891845e-12 Iter 135: T = 841.6628343097606 K, F = -3.400882393478355e-7, relative_change = 2.9740878966264104e-12 Iter 140: T = 841.662834302115 K, F = -1.4223135313962132e-7, relative_change = 1.2438199766119973e-12 Iter 145: T = 841.6628342989173 K, F = -5.9481878089684415e-8, relative_change = 5.201718649407786e-13 Converged in 150 iterations to T = 841.66283429758 K Iter 1: T = 976.5019530998424 K, F = -5354.0523386140485, relative_change = 0.023498046900157665 Iter 2: T = 955.1642458170267 K, F = -4527.123935032977, relative_change = 0.021851167030522062 Iter 3: T = 935.8946956489725 K, F = -3826.178334483943, relative_change = 0.02017406980259331 Iter 5: T = 903.1370153885196 K, F = -2729.267790476994, relative_change = 0.01682256316042785 Iter 10: T = 849.2258218939152 K, F = -1163.72093555661, relative_change = 0.009453116721571526 Iter 15: T = 822.6309437733539 K, F = -491.75721619199203, relative_change = 0.004625799619474081 Iter 20: T = 810.5472144335827 K, F = -206.67562604325295, relative_change = 0.002083814292356517 Iter 25: T = 805.2981281753389 K, F = -86.6236969832214, relative_change = 0.0009006367200854846 Iter 30: T = 803.0662771028796 K, F = -36.261140946588874, relative_change = 0.00038201142409535164 Iter 35: T = 802.126292184651 K, F = -15.170873555895538, relative_change = 0.00016071789128667085 Iter 40: T = 801.7320105743257 K, F = -6.345700705361612, relative_change = 6.738284657051555e-5 Iter 45: T = 801.5669118005059 K, F = -2.6540336411385033, relative_change = 2.8209926708995566e-5 Iter 50: T = 801.4978294998972 K, F = -1.1099810937103134, relative_change = 1.1802916036420676e-5 Iter 55: T = 801.4689321506429 K, F = -0.4642130407730276, relative_change = 4.9370283786518085e-6 Iter 60: T = 801.4568458306999 K, F = -0.19414043308272322, relative_change = 2.064883070125648e-6 Iter 65: T = 801.4517909943457 K, F = -0.0811920217643538, relative_change = 8.635865444327092e-7 Iter 70: T = 801.4496769676548 K, F = -0.03395550358859334, relative_change = 3.6116706600984495e-7 Iter 75: T = 801.448792850541 K, F = -0.014200602438701915, relative_change = 1.510452302179565e-7 Iter 80: T = 801.4484231011728 K, F = -0.005938862461286942, relative_change = 6.316906779224993e-8 Iter 85: T = 801.4482684673906 K, F = -0.0024837033654501184, relative_change = 2.6418084510428042e-8 Iter 90: T = 801.4482037976646 K, F = -0.001038714436691457, relative_change = 1.1048362978833527e-8 Iter 95: T = 801.4481767520075 K, F = -0.0004344027863005806, relative_change = 4.62055812807862e-9 Iter 100: T = 801.4481654411898 K, F = -0.00018167243517308584, relative_change = 1.9323727422222214e-9 Iter 105: T = 801.4481607108704 K, F = -7.59775828871323e-5, relative_change = 8.081413901728801e-10 Iter 110: T = 801.4481587325944 K, F = -3.177473342863557e-5, relative_change = 3.3797439417525167e-10 Iter 115: T = 801.4481579052557 K, F = -1.3288571989678033e-5, relative_change = 1.413449179621661e-10 Iter 120: T = 801.4481575592528 K, F = -5.55743929209207e-6, relative_change = 5.911213056190573e-11 Iter 125: T = 801.4481574145502 K, F = -2.3241861193401547e-6, relative_change = 2.4721384478316243e-11 Iter 130: T = 801.4481573540339 K, F = -9.72004281951655e-7, relative_change = 1.0338798333481781e-11 Iter 135: T = 801.4481573287253 K, F = -4.0650284027776706e-7, relative_change = 4.323798738635932e-12 Iter 140: T = 801.4481573181408 K, F = -1.7000409369138936e-7, relative_change = 1.808261623485138e-12 Iter 145: T = 801.4481573137143 K, F = -7.10968417472202e-8, relative_change = 7.562270277988417e-13 Iter 150: T = 801.4481573118632 K, F = -2.9732519335468055e-8, relative_change = 3.1625222968724894e-13 Converged in 153 iterations to T = 801.4481573113212 K Iter 1: T = 980.750630413581 K, F = -4385.9871711432, relative_change = 0.019249369586418992 Iter 2: T = 963.5173594311043 K, F = -3704.230242283597, relative_change = 0.01757151150156235 Iter 3: T = 948.1750722783736 K, F = -3126.9903678082073, relative_change = 0.015923207820344162 Iter 5: T = 922.6273558248404 K, F = -2225.3193202127322, relative_change = 0.012800952718628172 Iter 10: T = 882.2871145507522 K, F = -944.1025628205678, relative_change = 0.00665735866376573 Iter 15: T = 863.3043401782587 K, F = -397.6816060713412, relative_change = 0.003103142013692095 Iter 20: T = 854.9070089979572 K, F = -166.86159871716592, relative_change = 0.0013634187162200181 Iter 25: T = 851.3063759082796 K, F = -69.88316554981294, relative_change = 0.0005825512453011565 Iter 30: T = 849.7843093257867 K, F = -29.243721993638502, relative_change = 0.000245859842717579 Iter 35: T = 849.144867525342 K, F = -12.233201774756921, relative_change = 0.00010321680525801773 Iter 40: T = 848.876934787 K, F = -5.11661993648807, relative_change = 4.323602687602019e-5 Iter 45: T = 848.7647925162152 K, F = -2.139927688633324, relative_change = 1.809401178116674e-5 Iter 50: T = 848.7178775857504 K, F = -0.8949601374326823, relative_change = 7.569265794057654e-6 Iter 55: T = 848.6982544550826 K, F = -0.37428596036204154, relative_change = 3.1659307407365385e-6 Iter 60: T = 848.6900473470085 K, F = -0.15653137326503064, relative_change = 1.324095362332165e-6 Iter 65: T = 848.6866149523539 K, F = -0.06546337969811611, relative_change = 5.537639183929422e-7 Iter 70: T = 848.685179469218 K, F = -0.027377582929686284, relative_change = 2.315926822639521e-7 Iter 75: T = 848.6845791304562 K, F = -0.011449634890153826, relative_change = 9.685517501017583e-8 Iter 80: T = 848.6843280611669 K, F = -0.0047883745286534385, relative_change = 4.0506052000304074e-8 Iter 85: T = 848.684223060913 K, F = -0.0020025554973481796, relative_change = 1.6940125382187458e-8 Iter 90: T = 848.6841791485392 K, F = -0.0008374926410088523, relative_change = 7.08456462718653e-9 Iter 95: T = 848.6841607838576 K, F = -0.0003502494266978129, relative_change = 2.96284986067648e-9 Iter 100: T = 848.684153103528 K, F = -0.00014647849494009435, relative_change = 1.2390992645360842e-9 Iter 105: T = 848.6841498915225 K, F = -6.125905642417884e-5, relative_change = 5.182061241156971e-10 Iter 110: T = 848.6841485482233 K, F = -2.5619269241161646e-5, relative_change = 2.1671999359999964e-10 Iter 115: T = 848.6841479864395 K, F = -1.0714283244839251e-5, relative_change = 9.063488039845368e-11 Iter 120: T = 848.6841477514948 K, F = -4.480841563347937e-6, relative_change = 3.790459244293181e-11 Iter 125: T = 848.6841476532381 K, F = -1.8739401401735023e-6, relative_change = 1.5852142127919916e-11 Iter 130: T = 848.6841476121461 K, F = -7.837060693738351e-7, relative_change = 6.629571422671639e-12 Iter 135: T = 848.6841475949609 K, F = -3.2775353697722664e-7, relative_change = 2.7725515566943885e-12 Iter 140: T = 848.6841475877737 K, F = -1.370689630686428e-7, relative_change = 1.1595016500834293e-12 Iter 145: T = 848.6841475847681 K, F = -5.732430952143375e-8, relative_change = 4.849210936820916e-13 Converged in 150 iterations to T = 848.684147583511 K Iter 1: T = 967.4004725774722 K, F = -7427.833333379141, relative_change = 0.03259952742252775 Iter 2: T = 936.8790392080094 K, F = -6296.233940754373, relative_change = 0.031549946722833115 Iter 3: T = 908.4041395159581 K, F = -5335.510056274768, relative_change = 0.030393357627172955 Iter 5: T = 857.454066834231 K, F = -3827.7527875220358, relative_change = 0.02776571749349192 Iter 10: T = 762.8359460945526 K, F = -1657.1305993872993, relative_change = 0.019822042336311265 Iter 15: T = 707.5706176239603 K, F = -709.3545156448466, relative_change = 0.011840420549028495 Iter 20: T = 679.2077084255841 K, F = -300.5987767310408, relative_change = 0.006049192791716402 Iter 25: T = 665.999474590601 K, F = -126.53425930634323, relative_change = 0.002790692542201333 Iter 30: T = 660.1889642916768 K, F = -53.07417132335367, relative_change = 0.0012199457816267141 Iter 35: T = 657.7039995775443 K, F = -22.224586478380598, relative_change = 0.0005200649437879398 Iter 40: T = 656.6547544835367 K, F = -9.29962395063832, relative_change = 0.0002192729008934677 Iter 45: T = 656.2141677635192 K, F = -3.890100734876002, relative_change = 9.201682270416603e-5 Iter 50: T = 656.0295955638871 K, F = -1.6270421585558, relative_change = 3.853777851315937e-5 Iter 55: T = 655.9523502543941 K, F = -0.6804757044623353, relative_change = 1.612664188798398e-5 Iter 60: T = 655.9200357096287 K, F = -0.2845878333549034, relative_change = 6.746049234921408e-6 Iter 65: T = 655.906519695224 K, F = -0.11901886454240934, relative_change = 2.8215749221758687e-6 Iter 70: T = 655.9008668416596 K, F = -0.04977525639826441, relative_change = 1.180068206966289e-6 Iter 75: T = 655.8985026992025 K, F = -0.02081663217655444, relative_change = 4.935276911349005e-7 Iter 80: T = 655.8975139775703 K, F = -0.008705768638467226, relative_change = 2.0640076143537213e-7 Iter 85: T = 655.8971004807978 K, F = -0.003640857193806024, relative_change = 8.631954096652413e-8 Iter 90: T = 655.8969275512334 K, F = -0.0015226500960782707, relative_change = 3.609991145898137e-8 Iter 95: T = 655.896855229976 K, F = -0.0006367904771740762, relative_change = 1.5097422560246896e-8 Iter 100: T = 655.896824984354 K, F = -0.0002663133862657041, relative_change = 6.313923892941043e-9 Iter 105: T = 655.8968123352723 K, F = -0.00011137543897643543, relative_change = 2.6405586278190437e-9 Iter 110: T = 655.896807045275 K, F = -4.657853927736433e-5, relative_change = 1.1043132095660345e-9 Iter 115: T = 655.8968048329349 K, F = -1.947970178078906e-5, relative_change = 4.6183698918274743e-10 Iter 120: T = 655.8968039077079 K, F = -8.146643685702504e-6, relative_change = 1.9314574008153664e-10 Iter 125: T = 655.8968035207669 K, F = -3.407023480561655e-6, relative_change = 8.077585062808636e-11 Iter 130: T = 655.8968033589435 K, F = -1.424858863674494e-6, relative_change = 3.378144809688756e-11 Iter 135: T = 655.896803291267 K, F = -5.958927203342235e-7, relative_change = 1.412779856754384e-11 Iter 140: T = 655.8968032629639 K, F = -2.492099397399805e-7, relative_change = 5.908425644845577e-12 Iter 145: T = 655.8968032511273 K, F = -1.0422302865187305e-7, relative_change = 2.4709849694021656e-12 Iter 150: T = 655.8968032461769 K, F = -4.35861929326542e-8, relative_change = 1.0333688150021529e-12 Iter 155: T = 655.8968032441066 K, F = -1.822745226975897e-8, relative_change = 4.3214787723937135e-13 Converged in 159 iterations to T = 655.8968032433595 K Iter 1: T = 973.5230255310124 K, F = -6032.803818863598, relative_change = 0.026476974468987526 Iter 2: T = 949.2390753752752 K, F = -5105.213069978928, relative_change = 0.02494440246289134 Iter 3: T = 927.0806602445589 K, F = -4318.432798067724, relative_change = 0.02334334490176366 Iter 5: T = 888.8179006465267 K, F = -3085.824809034196, relative_change = 0.020013835127929862 Iter 10: T = 823.6766993188118 K, F = -1321.264698220213, relative_change = 0.012003213057660986 Iter 15: T = 790.1554375007286 K, F = -560.0137614437616, relative_change = 0.00615080897642413 Iter 20: T = 774.5176944485058 K, F = -235.75934899740443, relative_change = 0.002842462201925484 Iter 25: T = 767.6320495229157 K, F = -98.89359938097344, relative_change = 0.0012436193513069647 Iter 30: T = 764.6860153452321 K, F = -41.41231451662377, relative_change = 0.0005303561488475263 Iter 35: T = 763.4418540041023 K, F = -17.328695987299923, relative_change = 0.0002236481102245586 Iter 40: T = 762.919378105293 K, F = -7.24875340950925, relative_change = 9.385928658922651e-5 Iter 45: T = 762.7004931267942 K, F = -3.0318109595215805, relative_change = 3.9310556977945456e-5 Iter 50: T = 762.6088862651418 K, F = -1.267991335215564, relative_change = 1.6450219762569992e-5 Iter 55: T = 762.5705635268207 K, F = -0.5302981811489125, relative_change = 6.881442140499832e-6 Iter 60: T = 762.5545344604448 K, F = -0.22177861766912033, relative_change = 2.8782098876126892e-6 Iter 65: T = 762.5478305566606 K, F = -0.09275074377135828, relative_change = 1.2037557313755042e-6 Iter 70: T = 762.5450268416266 K, F = -0.038789517212132196, relative_change = 5.034344650170265e-7 Iter 75: T = 762.5438542836002 K, F = -0.01622224782134085, relative_change = 2.1054395702761517e-7 Iter 80: T = 762.5433639039211 K, F = -0.006784339255921368, relative_change = 8.805228609839201e-8 Iter 85: T = 762.543158820949 K, F = -0.0028372919568400157, relative_change = 3.6824568113933755e-8 Iter 90: T = 762.5430730527424 K, F = -0.0011865894236833263, relative_change = 1.5400482967722126e-8 Iter 95: T = 762.543037183444 K, F = -0.000496245875221013, relative_change = 6.440667435782775e-9 Iter 100: T = 762.5430221824732 K, F = -0.00020753595124678448, relative_change = 2.6935642891776744e-9 Iter 105: T = 762.5430159088878 K, F = -8.67940141373591e-5, relative_change = 1.1264808084959597e-9 Iter 110: T = 762.5430132851994 K, F = -3.629829315610067e-5, relative_change = 4.711077336121665e-10 Iter 115: T = 762.5430121879416 K, F = -1.5180378345025503e-5, relative_change = 1.9702286429119896e-10 Iter 120: T = 762.5430117290553 K, F = -6.348615832818538e-6, relative_change = 8.239731914587814e-11 Iter 125: T = 762.5430115371436 K, F = -2.6550668854596893e-6, relative_change = 3.445954197545055e-11 Iter 130: T = 762.5430114568838 K, F = -1.1103816615065654e-6, relative_change = 1.4411404737928517e-11 Iter 135: T = 762.5430114233181 K, F = -4.643751025934506e-7, relative_change = 6.02702456920421e-12 Iter 140: T = 762.5430114092807 K, F = -1.9420610630760393e-7, relative_change = 2.520559280140255e-12 Iter 145: T = 762.54301140341 K, F = -8.122023853474047e-8, relative_change = 1.0541400055526148e-12 Iter 150: T = 762.5430114009548 K, F = -3.396765435592641e-8, relative_change = 4.408588794848076e-13 Converged in 154 iterations to T = 762.5430114000686 K Iter 1: T = 969.9523350809536 K, F = -6846.389034512996, relative_change = 0.030047664919046372 Iter 2: T = 942.0608490520539 K, F = -5799.350808361461, relative_change = 0.02875552232839555 Iter 3: T = 916.2830777107783 K, F = -4910.710587526575, relative_change = 0.027363170189286957 Iter 5: T = 870.8645918748487 K, F = -3516.9633811444132, relative_change = 0.02431789022265577 Iter 10: T = 789.7900698276112 K, F = -1514.871769369458, relative_change = 0.016017082395847794 Iter 15: T = 745.2499945922535 K, F = -645.2571607952783, relative_change = 0.008858404713171033 Iter 20: T = 723.4957091428978 K, F = -272.48073234689906, relative_change = 0.004289464060430584 Iter 25: T = 713.6692597069538 K, F = -114.47604804463325, relative_change = 0.001921584721568242 Iter 30: T = 709.4131558738495 K, F = -47.97193176964026, relative_change = 0.000828367134860267 Iter 35: T = 707.60589688753 K, F = -20.079783566875747, relative_change = 0.0003509577468124261 Iter 40: T = 706.8451714708794 K, F = -8.400672994150618, relative_change = 0.00014758135776850567 Iter 45: T = 706.5261585597415 K, F = -3.5138007977250862, relative_change = 6.186250891234239e-5 Iter 50: T = 706.3925909126488 K, F = -1.4696079161701885, relative_change = 2.5896599149875283e-5 Iter 55: T = 706.3367045762326 K, F = -0.6146241156540168, relative_change = 1.0834638600286717e-5 Iter 60: T = 706.3133275600802 K, F = -0.257046038133341, relative_change = 4.531940299999286e-6 Iter 65: T = 706.3035501934182 K, F = -0.10750022893425404, relative_change = 1.8954453963188721e-6 Iter 70: T = 706.2994610385917 K, F = -0.04495796806343921, relative_change = 7.927213122237339e-7 Iter 75: T = 706.29775088014 K, F = -0.018801974630878182, relative_change = 3.3152961460182107e-7 Iter 80: T = 706.2970356670675 K, F = -0.007863213040311012, relative_change = 1.3865036031423413e-7 Iter 85: T = 706.2967365556522 K, F = -0.0032884900728686883, relative_change = 5.79853617711373e-8 Iter 90: T = 706.2966114635522 K, F = -0.0013752859043311139, relative_change = 2.425019269629897e-8 Iter 95: T = 706.2965591485184 K, F = -0.000575161004018887, relative_change = 1.014172402528427e-8 Iter 100: T = 706.2965372697425 K, F = -0.00024053920365196824, relative_change = 4.2413907817796375e-9 Iter 105: T = 706.2965281197763 K, F = -0.00010059636667048011, relative_change = 1.7738003706489087e-9 Iter 110: T = 706.2965242931512 K, F = -4.207060168370802e-5, relative_change = 7.418245136963009e-10 Iter 115: T = 706.2965226928108 K, F = -1.759442808313416e-5, relative_change = 3.102398747577849e-10 Iter 120: T = 706.2965220235293 K, F = -7.358198216511624e-6, relative_change = 1.2974599075606902e-10 Iter 125: T = 706.2965217436277 K, F = -3.0772861336902935e-6, relative_change = 5.4261318771347375e-11 Iter 130: T = 706.2965216265696 K, F = -1.2869575586327286e-6, relative_change = 2.269272708336877e-11 Iter 135: T = 706.2965215776145 K, F = -5.382198295933449e-7, relative_change = 9.490348478022446e-12 Iter 140: T = 706.2965215571409 K, F = -2.2508929919951015e-7, relative_change = 3.9689654132327814e-12 Iter 145: T = 706.2965215485787 K, F = -9.413522017442943e-8, relative_change = 1.6598720347419377e-12 Iter 150: T = 706.2965215449979 K, F = -3.937043491220038e-8, relative_change = 6.94212897010017e-13 Iter 155: T = 706.2965215435003 K, F = -1.6465618868366505e-8, relative_change = 2.903357557842141e-13 Converged in 157 iterations to T = 706.2965215431833 K Iter 1: T = 973.4135043081112 K, F = -6057.7583336832195, relative_change = 0.026586495691888742 Iter 2: T = 949.0201428969735 K, F = -5126.484264134444, relative_change = 0.025059608586873002 Iter 3: T = 926.7532990759083 K, F = -4336.562866633773, relative_change = 0.023462983359967046 Iter 5: T = 888.2804325756495 K, F = -3098.9867393511736, relative_change = 0.020137700526100304 Iter 10: T = 822.6940209565885 K, F = -1327.120857509817, relative_change = 0.012108930394330447 Iter 15: T = 788.8849608708059 K, F = -562.5672657518442, relative_change = 0.006217090576684253 Iter 20: T = 773.0950162882415 K, F = -236.85185314489527, relative_change = 0.0028763187483205996 Iter 25: T = 766.1381667391928 K, F = -99.35547836537494, relative_change = 0.0012591215512813916 Iter 30: T = 763.1608295479168 K, F = -41.60640854617091, relative_change = 0.0005370990876319209 Iter 35: T = 761.90329285351 K, F = -17.410035943721628, relative_change = 0.0002265155299468802 Iter 40: T = 761.3751721718082 K, F = -7.282800407790475, relative_change = 9.506692749833169e-5 Iter 45: T = 761.153917445798 K, F = -3.0460550344871224, relative_change = 3.98170965287186e-5 Iter 50: T = 761.0613179401083 K, F = -1.2739492913139872, relative_change = 1.6662322048922565e-5 Iter 55: T = 761.0225797880091 K, F = -0.5327900295163183, relative_change = 6.970191630419298e-6 Iter 60: T = 761.0063769419336 K, F = -0.2228207664063433, relative_change = 2.9153339958530677e-6 Iter 65: T = 760.9996003528837 K, F = -0.09318658771573274, relative_change = 1.2192828783802696e-6 Iter 70: T = 760.996766238513 K, F = -0.03897179320982347, relative_change = 5.099283484716925e-7 Iter 75: T = 760.9955809668603 K, F = -0.016298477968773928, relative_change = 2.1325981950358144e-7 Iter 80: T = 760.9950852701453 K, F = -0.006816219639296794, relative_change = 8.918809970877906e-8 Iter 85: T = 760.9948779635175 K, F = -0.002850624720237782, relative_change = 3.7299580264861354e-8 Iter 90: T = 760.9947912653502 K, F = -0.00119216534817701, relative_change = 1.559913898805421e-8 Iter 95: T = 760.9947550071307 K, F = -0.0004985777949307879, relative_change = 6.52374781374662e-9 Iter 100: T = 760.9947398435086 K, F = -0.00020851119096032544, relative_change = 2.7283095417635645e-9 Iter 105: T = 760.9947335019002 K, F = -8.720187048649741e-5, relative_change = 1.1410116821634775e-9 Iter 110: T = 760.9947308497639 K, F = -3.646886384200965e-5, relative_change = 4.771847224982766e-10 Iter 115: T = 760.9947297406087 K, F = -1.525171454497265e-5, relative_change = 1.9956435316438018e-10 Iter 120: T = 760.9947292767469 K, F = -6.378448879518217e-6, relative_change = 8.346019228027808e-11 Iter 125: T = 760.9947290827542 K, F = -2.6675430857547866e-6, relative_change = 3.490404380885358e-11 Iter 130: T = 760.9947290016243 K, F = -1.1155987539313017e-6, relative_change = 1.459729292022586e-11 Iter 135: T = 760.9947289676946 K, F = -4.66556554279407e-7, relative_change = 6.104760035016035e-12 Iter 140: T = 760.9947289535048 K, F = -1.9511761051305143e-7, relative_change = 2.553058530564137e-12 Iter 145: T = 760.9947289475707 K, F = -8.160176412363995e-8, relative_change = 1.0677359130468699e-12 Iter 150: T = 760.9947289450889 K, F = -3.4127995318655735e-8, relative_change = 4.4655512823690847e-13 Converged in 155 iterations to T = 760.994728944051 K Iter 1: T = 964.3471094332986 K, F = -8123.545030277297, relative_change = 0.03565289056670145 Iter 2: T = 930.6211046063661 K, F = -6891.64169252779, relative_change = 0.034972889426455225 Iter 3: T = 898.7910820565471 K, F = -5845.479100364916, relative_change = 0.034202988082118 Iter 5: T = 840.7060996643439 K, F = -4202.740167272271, relative_change = 0.032368157564600555 Iter 10: T = 726.6887866336608 K, F = -1832.7194937043826, relative_change = 0.025959481418412856 Iter 15: T = 653.1885114031702 K, F = -791.2935030476259, relative_change = 0.017754804259500743 Iter 20: T = 611.6619226094767 K, F = -337.80129615513613, relative_change = 0.010164736721953022 Iter 25: T = 590.9324878781672 K, F = -142.86411895801928, relative_change = 0.005037484499843582 Iter 30: T = 581.4462174375776 K, F = -60.07000733131471, relative_change = 0.002284831340949617 Iter 35: T = 577.3105830668514 K, F = -25.182448755265245, relative_change = 0.000990702599993973 Iter 40: T = 575.5492713425572 K, F = -10.54250273296335, relative_change = 0.00042081042264314035 Iter 45: T = 574.8069340085292 K, F = -4.410932455241003, relative_change = 0.0001771487375877818 Iter 50: T = 574.4954624314014 K, F = -1.845044399309126, relative_change = 7.42907131523606e-5 Iter 55: T = 574.3650223358918 K, F = -0.7716791665034661, relative_change = 3.11052632225701e-5 Iter 60: T = 574.3104393523959 K, F = -0.3227358711854086, relative_change = 1.3014899670645407e-5 Iter 65: T = 574.2876066031779 K, F = -0.1349738201938706, relative_change = 5.444090379640432e-6 Iter 70: T = 574.2780567135136 K, F = -0.056447982699546845, relative_change = 2.2769767446581517e-6 Iter 75: T = 574.274062667451 K, F = -0.023607276319080495, relative_change = 9.522926504910121e-7 Iter 80: T = 574.272392280276 K, F = -0.009872854649225826, relative_change = 3.9826606814761535e-7 Iter 85: T = 574.2716936992666 K, F = -0.0041289474282749095, relative_change = 1.665606594931872e-7 Iter 90: T = 574.2714015434458 K, F = -0.0017267754229360888, relative_change = 6.965783770691913e-8 Iter 95: T = 574.2712793602351 K, F = -0.0007221581553095158, relative_change = 2.9131771200818087e-8 Iter 100: T = 574.2712282617298 K, F = -0.0003020151738187815, relative_change = 1.2183260142280985e-8 Iter 105: T = 574.2712068917198 K, F = -0.00012630635398824808, relative_change = 5.095185852516369e-9 Iter 110: T = 574.2711979545255 K, F = -5.282282600310717e-5, relative_change = 2.130867744843402e-9 Iter 115: T = 574.2711942168839 K, F = -2.2091135846613597e-5, relative_change = 8.911543331354657e-10 Iter 120: T = 574.2711926537576 K, F = -9.238776188968956e-6, relative_change = 3.7269136351913444e-10 Iter 125: T = 574.2711920000396 K, F = -3.863766616596376e-6, relative_change = 1.558639831737082e-10 Iter 130: T = 574.2711917266469 K, F = -1.6158736175220234e-6, relative_change = 6.518419042736879e-11 Iter 135: T = 574.2711916123108 K, F = -6.757775876109484e-7, relative_change = 2.7260804633153135e-11 Iter 140: T = 574.2711915644941 K, F = -2.826182137205535e-7, relative_change = 1.1400792293656792e-11 Iter 145: T = 574.2711915444966 K, F = -1.1819498613174773e-7, relative_change = 4.7679746804835925e-12 Iter 150: T = 574.2711915361334 K, F = -4.9430493032076583e-8, relative_change = 1.9940214636041743e-12 Iter 155: T = 574.2711915326358 K, F = -2.0672638156860046e-8, relative_change = 8.339322888919427e-13 Iter 160: T = 574.271191531173 K, F = -8.645850924082765e-9, relative_change = 3.487728172823308e-13 Converged in 163 iterations to T = 574.2711915307448 K Iter 1: T = 963.55175731739 K, F = -8304.76676646224, relative_change = 0.03644824268261 Iter 2: T = 928.980541122497 K, F = -7046.8917527775975, relative_change = 0.03587894052639389 Iter 3: T = 896.2527664976685 K, F = -5978.622682370556, relative_change = 0.035229774119146975 Iter 5: T = 836.2085483996532 K, F = -4301.0034524293515, relative_change = 0.0336625763061477 Iter 10: T = 716.4188262247363 K, F = -1879.6064460071818, relative_change = 0.027953122215882472 Iter 15: T = 636.6650927925109 K, F = -813.9586575096919, relative_change = 0.02004594335783118 Iter 20: T = 589.914929360619 K, F = -348.5286889950209, relative_change = 0.012030195915656138 Iter 25: T = 565.8473816914039 K, F = -147.72732964249494, relative_change = 0.00616759800816675 Iter 30: T = 554.6167016490352 K, F = -62.192627817629145, relative_change = 0.0028510082457808388 Iter 35: T = 549.6708575246973 K, F = -26.088074001112787, relative_change = 0.0012475264614876078 Iter 40: T = 547.5546247921894 K, F = -10.924588029926245, relative_change = 0.0005320545087759231 Iter 45: T = 546.6608760059722 K, F = -4.571326007236256, relative_change = 0.00022437013626736674 Iter 50: T = 546.2855482976591 K, F = -1.9122292386967883, relative_change = 9.416333972279873e-5 Iter 55: T = 546.128308423395 K, F = -0.7997953596650025, relative_change = 3.9438084556611954e-5 Iter 60: T = 546.0625008726546 K, F = -0.3344976747778834, relative_change = 1.65036180527067e-5 Iter 65: T = 546.0349709702496 K, F = -0.13989332036407584, relative_change = 6.903785280421944e-6 Iter 70: T = 546.02345616653 K, F = -0.05850547675424289, relative_change = 2.8875560396006675e-6 Iter 75: T = 546.0186402809782 K, F = -0.024467762454157854, relative_change = 1.207664750796879e-6 Iter 80: T = 546.016626175152 K, F = -0.010232723296825508, relative_change = 5.050693243302239e-7 Iter 85: T = 546.0157838441759 K, F = -0.004279449331334756, relative_change = 2.1122768535421082e-7 Iter 90: T = 546.0154315699262 K, F = -0.0017897172099687053, relative_change = 8.8338231301006e-8 Iter 95: T = 546.0152842443873 K, F = -0.0007484811793032065, relative_change = 3.694415414274156e-8 Iter 100: T = 546.0152226310455 K, F = -0.0003130237796517832, relative_change = 1.545049534743705e-8 Iter 105: T = 546.0151968636028 K, F = -0.00013091028503883773, relative_change = 6.461583227335665e-9 Iter 110: T = 546.0151860873493 K, F = -5.474824564880021e-5, relative_change = 2.702311578842784e-9 Iter 115: T = 546.015181580591 K, F = -2.2896369980096587e-5, relative_change = 1.1301390100960263e-9 Iter 120: T = 546.015179695811 K, F = -9.575535233702359e-6, relative_change = 4.726376319654949e-10 Iter 125: T = 546.0151789075734 K, F = -4.0046028832729785e-6, relative_change = 1.9766268835386639e-10 Iter 130: T = 546.015178577923 K, F = -1.6747731617083872e-6, relative_change = 8.26649173780589e-11 Iter 135: T = 546.0151784400593 K, F = -7.004103409757878e-7, relative_change = 3.4571465772737416e-11 Iter 140: T = 546.0151783824031 K, F = -2.929199542089922e-7, relative_change = 1.445819912091923e-11 Iter 145: T = 546.0151783582905 K, F = -1.2250316935857875e-7, relative_change = 6.046618506019241e-12 Iter 150: T = 546.0151783482064 K, F = -5.123224211533994e-8, relative_change = 2.5287657856422415e-12 Iter 155: T = 546.0151783439891 K, F = -2.1425932639207446e-8, relative_change = 1.0575599104859906e-12 Iter 160: T = 546.0151783422253 K, F = -8.960526654000489e-9, relative_change = 4.422815065196785e-13 Converged in 164 iterations to T = 546.0151783415887 K Iter 1: T = 969.3140667515523 K, F = -6991.819080517002, relative_change = 0.030685933248447653 Iter 2: T = 940.7688629146772 K, F = -5923.5678408756285, relative_change = 0.029448869892642913 Iter 3: T = 914.3253468370021 K, F = -5016.841459569802, relative_change = 0.028108409110977745 Iter 5: T = 867.5577527848441 K, F = -3594.48282933006, relative_change = 0.025149088592268703 Iter 10: T = 783.2869402569419 K, F = -1550.11801733224, relative_change = 0.01688135046316831 Iter 15: T = 736.3400722476196 K, F = -660.9975550761466, relative_change = 0.0094971614673457 Iter 20: T = 713.1638586389031 K, F = -279.3339841883957, relative_change = 0.004650962731454642 Iter 25: T = 702.6288613183463 K, F = -117.40164211597147, relative_change = 0.0020960184398273935 Iter 30: T = 698.0515375572452 K, F = -49.207037507860434, relative_change = 0.000906087494139054 Iter 35: T = 696.1051199419844 K, F = -20.59844495881338, relative_change = 0.0003843562560082939 Iter 40: T = 695.2853154511282 K, F = -8.617962776305307, relative_change = 0.00016171030246800116 Iter 45: T = 694.9414379006597 K, F = -3.6047409099855177, relative_change = 6.779997145737798e-5 Iter 50: T = 694.7974438748691 K, F = -1.507651905790853, relative_change = 2.838474030557219e-5 Iter 55: T = 694.7371922432834 K, F = -0.6305366244159314, relative_change = 1.187608950568647e-5 Iter 60: T = 694.7119887575147 K, F = -0.2637011995013064, relative_change = 4.967641660660548e-6 Iter 65: T = 694.7014473905112 K, F = -0.11028355990820782, relative_change = 2.077687881017184e-6 Iter 70: T = 694.6970386955626 K, F = -0.04612200133853006, relative_change = 8.689420140068176e-7 Iter 75: T = 694.6951948970581 K, F = -0.019288789176754695, relative_change = 3.6340684765132937e-7 Iter 80: T = 694.6944237933222 K, F = -0.008066805033070668, relative_change = 1.5198194419199132e-7 Iter 85: T = 694.6941013076248 K, F = -0.003373634735288733, relative_change = 6.356081462016729e-8 Iter 90: T = 694.6939664400963 K, F = -0.0014108944285401437, relative_change = 2.658191806412081e-8 Iter 95: T = 694.6939100368575 K, F = -0.0005900529150977274, relative_change = 1.1116880177890436e-8 Iter 100: T = 694.6938864483446 K, F = -0.00024676717838756357, relative_change = 4.649212854083681e-9 Iter 105: T = 694.693876583346 K, F = -0.00010320098157012847, relative_change = 1.944356480649364e-9 Iter 110: T = 694.6938724576855 K, F = -4.315988267633575e-5, relative_change = 8.131531181376306e-10 Iter 115: T = 694.6938707322851 K, F = -1.804997776944095e-5, relative_change = 3.400703377524406e-10 Iter 120: T = 694.6938700107021 K, F = -7.548716769223418e-6, relative_change = 1.4222148674048533e-10 Iter 125: T = 694.6938697089274 K, F = -3.156963695571946e-6, relative_change = 5.947872797786474e-11 Iter 130: T = 694.6938695827216 K, F = -1.320279534033908e-6, relative_change = 2.4874707123688188e-11 Iter 135: T = 694.6938695299408 K, F = -5.52156904642942e-7, relative_change = 1.0402904036783318e-11 Iter 140: T = 694.6938695078672 K, F = -2.3091773782013547e-7, relative_change = 4.350602242039856e-12 Iter 145: T = 694.6938694986359 K, F = -9.657271549112778e-8, relative_change = 1.819476825506661e-12 Iter 150: T = 694.6938694947752 K, F = -4.038835255126827e-8, relative_change = 7.609361620997495e-13 Iter 155: T = 694.6938694931606 K, F = -1.688990280968028e-8, relative_change = 3.1821396542638954e-13 Converged in 158 iterations to T = 694.6938694926879 K Iter 1: T = 966.3986776956975 K, F = -7656.093250144463, relative_change = 0.03360132230430249 Iter 2: T = 934.832828187654 K, F = -6491.479704581019, relative_change = 0.032663382345793246 Iter 3: T = 905.2728268030387 K, F = -5502.624923722106, relative_change = 0.03162062830198507 Iter 5: T = 852.046814864304 K, F = -3950.3999476106374, relative_change = 0.029214839493435566 Iter 10: T = 751.4965728975408 K, F = -1714.0318936109338, relative_change = 0.021609880594509787 Iter 15: T = 691.0565684272826 K, F = -735.4910986335443, relative_change = 0.013407347865699236 Iter 20: T = 659.2310810934661 K, F = -312.26570260183365, relative_change = 0.007052309222812292 Iter 25: T = 644.154024448397 K, F = -131.59312502565166, relative_change = 0.0033094771222459095 Iter 30: T = 637.4600684934176 K, F = -55.22687545984401, relative_change = 0.0014589553165964503 Iter 35: T = 634.5848472277747 K, F = -23.1318498938225, relative_change = 0.0006243163432962256 Iter 40: T = 633.3684986221535 K, F = -9.680312679186091, relative_change = 0.0002636590786662526 Iter 45: T = 632.8573259166723 K, F = -4.049532788444805, relative_change = 0.00011072004905763119 Iter 50: T = 632.6431096218605 K, F = -1.6937578610273136, relative_change = 4.6384451961565926e-5 Iter 55: T = 632.5534449624191 K, F = -0.7083839006770836, relative_change = 1.9412560274015065e-5 Iter 60: T = 632.5159326697919 K, F = -0.2962605810687462, relative_change = 8.121020750413309e-6 Iter 65: T = 632.5002422251276 K, F = -0.12390075819129509, relative_change = 3.3967376474787984e-6 Iter 70: T = 632.4936798816266 K, F = -0.05181695956085408, relative_change = 1.4206314332834663e-6 Iter 75: T = 632.4909353591088 K, F = -0.021670503281928932, relative_change = 5.941381819030969e-7 Iter 80: T = 632.4897875544056 K, F = -0.009062868863475182, relative_change = 2.4847798328298804e-7 Iter 85: T = 632.4893075265655 K, F = -0.003790200969865265, relative_change = 1.0391686235500973e-7 Iter 90: T = 632.4891067728043 K, F = -0.0015851074797828546, relative_change = 4.3459343190646065e-8 Iter 95: T = 632.4890228151165 K, F = -0.0006629109088502894, relative_change = 1.8175228662553637e-8 Iter 100: T = 632.4889877029971 K, F = -0.0002772372646236976, relative_change = 7.60109985041443e-9 Iter 105: T = 632.4889730186873 K, F = -0.00011594393601604969, relative_change = 3.178871113588052e-9 Iter 110: T = 632.4889668775331 K, F = -4.848913821009493e-5, relative_change = 1.3294419113300156e-9 Iter 115: T = 632.488964309229 K, F = -2.027873620108478e-5, relative_change = 5.559884817691292e-10 Iter 120: T = 632.4889632351336 K, F = -8.480809654820565e-6, relative_change = 2.3252102475832645e-10 Iter 125: T = 632.4889627859341 K, F = -3.5467750689743838e-6, relative_change = 9.724304753674118e-11 Iter 130: T = 632.4889625980735 K, F = -1.4833036007244615e-6, relative_change = 4.066820138169899e-11 Iter 135: T = 632.4889625195079 K, F = -6.203357159062506e-7, relative_change = 1.7007939454427176e-11 Iter 140: T = 632.4889624866508 K, F = -2.5943079967616356e-7, relative_change = 7.112895842456952e-12 Iter 145: T = 632.4889624729096 K, F = -1.0849616055574884e-7, relative_change = 2.9746733633117544e-12 Iter 150: T = 632.4889624671629 K, F = -4.537384884484297e-8, relative_change = 1.2440290869663873e-12 Iter 155: T = 632.4889624647595 K, F = -1.8976154592120764e-8, relative_change = 5.202751997636444e-13 Converged in 160 iterations to T = 632.4889624637544 K Iter 1: T = 966.494560063214 K, F = -7634.246361498165, relative_change = 0.033505439936786056 Iter 2: T = 935.0289663109256 K, F = -6472.788180741211, relative_change = 0.032556410612627006 Iter 3: T = 905.5734754175311 K, F = -5486.621683992155, relative_change = 0.03150222287723188 Iter 5: T = 852.5679614977614 K, F = -3938.645323244344, relative_change = 0.029073666793499986 Iter 10: T = 752.6023523216339 K, F = -1708.5576923901394, relative_change = 0.021430288483058356 Iter 15: T = 692.686704407823 K, F = -732.9616051429244, relative_change = 0.01324465782394186 Iter 20: T = 661.2210471631186 K, F = -311.1299697522774, relative_change = 0.006945456001824381 Iter 25: T = 646.3415517992526 K, F = -131.09873373133212, relative_change = 0.00325337498158172 Iter 30: T = 639.741862723098 K, F = -55.01606321642444, relative_change = 0.001432914727309214 Iter 35: T = 636.9084678824555 K, F = -23.04291757668163, relative_change = 0.0006129196017678432 Iter 40: T = 635.7100640001012 K, F = -9.64298098940883, relative_change = 0.00025879972038744543 Iter 45: T = 635.2064776692679 K, F = -4.03389553034345, relative_change = 0.00010867117209737338 Iter 50: T = 634.9954485654445 K, F = -1.687213825765492, relative_change = 4.552465136374035e-5 Iter 55: T = 634.9071193739798 K, F = -0.7056463446494605, relative_change = 1.9052465985760236e-5 Iter 60: T = 634.8701660364751 K, F = -0.29511556896604096, relative_change = 7.970334730523743e-6 Iter 65: T = 634.854709431683 K, F = -0.12342187709993901, relative_change = 3.3337031524907632e-6 Iter 70: T = 634.848244896486 K, F = -0.051616681683983756, relative_change = 1.3942668901660194e-6 Iter 75: T = 634.8455412809615 K, F = -0.021586743968396105, relative_change = 5.831117315668597e-7 Iter 80: T = 634.8444105844699 K, F = -0.009027839593572395, relative_change = 2.4386650549581407e-7 Iter 85: T = 634.8439377115614 K, F = -0.0037755512874641517, relative_change = 1.0198827243685688e-7 Iter 90: T = 634.8437399500908 K, F = -0.0015789808049360698, relative_change = 4.265278129777478e-8 Iter 95: T = 634.8436572438169 K, F = -0.0006603486590910923, relative_change = 1.783791438018496e-8 Iter 100: T = 634.843622655054 K, F = -0.00027616570079974645, relative_change = 7.460030902829348e-9 Iter 105: T = 634.8436081896183 K, F = -0.00011549579501901608, relative_change = 3.119874376010873e-9 Iter 110: T = 634.8436021399999 K, F = -4.830172054287596e-5, relative_change = 1.3047687757900347e-9 Iter 115: T = 634.8435996099772 K, F = -2.0200355830890526e-5, relative_change = 5.456698799101483e-10 Iter 120: T = 634.8435985518915 K, F = -8.448030036301013e-6, relative_change = 2.2820566184858091e-10 Iter 125: T = 634.8435981093876 K, F = -3.533067847172333e-6, relative_change = 9.543835493375752e-11 Iter 130: T = 634.843597924327 K, F = -1.4775717513959563e-6, relative_change = 3.991347563800529e-11 Iter 135: T = 634.8435978469325 K, F = -6.179383464366417e-7, relative_change = 1.6692297431445857e-11 Iter 140: T = 634.8435978145652 K, F = -2.584286799001134e-7, relative_change = 6.9809041883080854e-12 Iter 145: T = 634.8435978010289 K, F = -1.080786653506749e-7, relative_change = 2.9195165489429687e-12 Iter 150: T = 634.8435977953677 K, F = -4.519939794667138e-8, relative_change = 1.2209661350369772e-12 Iter 155: T = 634.8435977930002 K, F = -1.890257722569899e-8, relative_change = 5.106131432356637e-13 Converged in 160 iterations to T = 634.8435977920101 K Iter 1: T = 976.4810222628404 K, F = -5358.821449735301, relative_change = 0.02351897773715958 Iter 2: T = 955.1228123593289 K, F = -4531.1825409753155, relative_change = 0.021872631844925373 Iter 3: T = 935.8333629698078 K, F = -3829.631201202466, relative_change = 0.020195779160454404 Iter 5: T = 903.0383620227967 K, F = -2731.763560250254, relative_change = 0.016843846368930368 Iter 10: T = 849.0537225994631 K, F = -1164.8168474536217, relative_change = 0.009469081617630857 Iter 15: T = 822.4155115578474 K, F = -492.2294440479828, relative_change = 0.004634924623098006 Iter 20: T = 810.3101687754811 K, F = -206.87616078904654, relative_change = 0.0020882406272419514 Iter 25: T = 805.0512758193922 K, F = -86.70815491891346, relative_change = 0.000902613778565388 Iter 30: T = 802.8151743785226 K, F = -36.29657077403434, relative_change = 0.0003828619400315001 Iter 35: T = 801.873384612368 K, F = -15.185710098062142, relative_change = 0.00016107786116334615 Iter 40: T = 801.4783433258704 K, F = -6.351908940481877, relative_change = 6.753414769659631e-5 Iter 45: T = 801.3129259881248 K, F = -2.6566305988159575, relative_change = 2.827333585566758e-5 Iter 50: T = 801.2437103096474 K, F = -1.1110672774535986, relative_change = 1.1829457851210195e-5 Iter 55: T = 801.2147571537924 K, F = -0.46466731416795526, relative_change = 4.948132570899515e-6 Iter 60: T = 801.2026474902451 K, F = -0.19433041885453883, relative_change = 2.0695276912472443e-6 Iter 65: T = 801.1975828905092 K, F = -0.08127147664724743, relative_change = 8.655291056077165e-7 Iter 70: T = 801.195464780514 K, F = -0.03398873266699087, relative_change = 3.619794901704371e-7 Iter 75: T = 801.1945789556892 K, F = -0.014214499253380919, relative_change = 1.5138499953308394e-7 Iter 80: T = 801.1942084921313 K, F = -0.005944674278314577, relative_change = 6.331116404877191e-8 Iter 85: T = 801.1940535596659 K, F = -0.0024861339407492578, relative_change = 2.647751101605912e-8 Iter 90: T = 801.1939887650268 K, F = -0.001039730932466676, relative_change = 1.107321587436279e-8 Iter 95: T = 801.1939616671294 K, F = -0.0004348278974330988, relative_change = 4.630951914089913e-9 Iter 100: T = 801.193950334464 K, F = -0.00018185021954009173, relative_change = 1.9367195249971547e-9 Iter 105: T = 801.1939455950078 K, F = -7.605193106929864e-5, relative_change = 8.099592309354343e-10 Iter 110: T = 801.1939436129107 K, F = -3.180582712614122e-5, relative_change = 3.3873464117991924e-10 Iter 115: T = 801.193942783974 K, F = -1.3301575764845808e-5, relative_change = 1.4166286253643675e-10 Iter 120: T = 801.1939424373028 K, F = -5.562876049247656e-6, relative_change = 5.924508198329692e-11 Iter 125: T = 801.1939422923208 K, F = -2.3264623637553328e-6, relative_change = 2.477701325182928e-11 Iter 130: T = 801.1939422316875 K, F = -9.729525267676564e-7, relative_change = 1.0362023488270182e-11 Iter 135: T = 801.19394220633 K, F = -4.0690042613089616e-7, relative_change = 4.333522610397335e-12 Iter 140: T = 801.1939421957252 K, F = -1.701699904321785e-7, relative_change = 1.8123242293144997e-12 Iter 145: T = 801.1939421912901 K, F = -7.116607103618833e-8, relative_change = 7.579244408478935e-13 Iter 150: T = 801.1939421894353 K, F = -2.9763804310078967e-8, relative_change = 3.169869350803438e-13 Converged in 153 iterations to T = 801.1939421888924 K Iter 1: T = 965.2552625420217 K, F = -7916.621480578112, relative_change = 0.03474473745797835 Iter 2: T = 932.489025407504 K, F = -6714.451927525085, relative_change = 0.033945670545454575 Iter 3: T = 901.6718936444096 K, F = -5693.606999194407, relative_change = 0.0330482514254011 Iter 5: T = 845.7716088969086 K, F = -4090.8411253252048, relative_change = 0.03094032488830655 Iter 10: T = 737.9520723709165 K, F = -1779.8004003624105, relative_change = 0.02390637832112696 Iter 15: T = 670.7077879465123 K, F = -766.167271964728, relative_change = 0.015600412774159125 Iter 20: T = 634.0143721735008 K, F = -326.17574566647795, relative_change = 0.00855785819815866 Iter 25: T = 616.1829064793513 K, F = -137.69059455911446, relative_change = 0.004122108382679456 Iter 30: T = 608.1519926074831 K, F = -57.836742366967414, relative_change = 0.0018415239079790395 Iter 35: T = 604.6786005220563 K, F = -24.23480214115336, relative_change = 0.0007928389213300065 Iter 40: T = 603.2046607370705 K, F = -10.143669937133955, relative_change = 0.0003357173422533949 Iter 45: T = 602.5844127318919 K, F = -4.243686108580278, relative_change = 0.00014113891392233027 Iter 50: T = 602.3243404744825 K, F = -1.7750205959670589, relative_change = 5.9156039054790476e-5 Iter 55: T = 602.2154561644431 K, F = -0.7423804374311063, relative_change = 2.4762583249222717e-5 Iter 60: T = 602.1698985940334 K, F = -0.3104803510078539, relative_change = 1.0360004911463125e-5 Iter 65: T = 602.1508422240574 K, F = -0.12984798793426855, relative_change = 4.333377231242248e-6 Iter 70: T = 602.1428719839525 K, F = -0.05430422366683618, relative_change = 1.8123924733790173e-6 Iter 75: T = 602.1395386226485 K, F = -0.022710717611045594, relative_change = 7.579855804695637e-7 Iter 80: T = 602.1381445516038 K, F = -0.009497900802652837, relative_change = 3.170023656195215e-7 Iter 85: T = 602.1375615310267 K, F = -0.003972136850655561, relative_change = 1.3257482984236127e-7 Iter 90: T = 602.137317704261 K, F = -0.0016611952963746512, relative_change = 5.544449162090352e-8 Iter 95: T = 602.1372157328913 K, F = -0.0006947317514346962, relative_change = 2.318756856084257e-8 Iter 100: T = 602.1371730872282 K, F = -0.00029054512145415545, relative_change = 9.697321565445088e-9 Iter 105: T = 602.1371552522996 K, F = -0.0001215094409845463, relative_change = 4.055536306130304e-9 Iter 110: T = 602.1371477935188 K, F = -5.0816699298017465e-5, relative_change = 1.6960738148820927e-9 Iter 115: T = 602.1371446741676 K, F = -2.1252151055806134e-5, relative_change = 7.093183599607432e-10 Iter 120: T = 602.1371433696177 K, F = -8.887903719723145e-6, relative_change = 2.9664542372375316e-10 Iter 125: T = 602.1371428240392 K, F = -3.7170272323971965e-6, relative_change = 1.2406065118109235e-10 Iter 130: T = 602.1371425958719 K, F = -1.5545051895715645e-6, relative_change = 5.1883646358485e-11 Iter 135: T = 602.1371425004495 K, F = -6.501121790902786e-7, relative_change = 2.1698345328785415e-11 Iter 140: T = 602.1371424605427 K, F = -2.718843470361776e-7, relative_change = 9.074496130189478e-12 Iter 145: T = 602.1371424438532 K, F = -1.1370487817963237e-7, relative_change = 3.795049212684548e-12 Iter 150: T = 602.1371424368735 K, F = -4.755285692992217e-8, relative_change = 1.5871388734761213e-12 Iter 155: T = 602.1371424339546 K, F = -1.988869685609629e-8, relative_change = 6.638113030798486e-13 Iter 160: T = 602.1371424327339 K, F = -8.317665167734134e-9, relative_change = 2.776129674849134e-13 Converged in 162 iterations to T = 602.1371424324755 K Iter 1: T = 964.5871992047977 K, F = -8068.8403474568795, relative_change = 0.03541280079520229 Iter 2: T = 931.1154795395735 K, F = -6844.789611825045, relative_change = 0.034700563819236085 Iter 3: T = 899.5544916870031 K, F = -5805.312448514316, relative_change = 0.0338958899793793 Iter 5: T = 842.052435901929 K, F = -4173.1263464740105, relative_change = 0.031985576402268484 Iter 10: T = 729.7127480039829 K, F = -1818.6671990896407, relative_change = 0.025394921476205593 Iter 15: T = 657.9503785375073 K, F = -784.5778903005826, relative_change = 0.01714273631199396 Iter 20: T = 617.8035754855524 K, F = -334.6697089371164, relative_change = 0.00969446176322158 Iter 25: T = 597.9191696195944 K, F = -141.4619791258108, relative_change = 0.004764232175382934 Iter 30: T = 588.8626980928019 K, F = -59.46260253027217, relative_change = 0.0021510957423381636 Iter 35: T = 584.9238917581948 K, F = -24.924264424535604, relative_change = 0.0009307163774852398 Iter 40: T = 583.2482399975304 K, F = -10.433758183441746, relative_change = 0.0003949567755026886 Iter 45: T = 582.5423411034192 K, F = -4.3653165157980505, relative_change = 0.0001661978062101243 Iter 50: T = 582.2462182596068 K, F = -1.825942948589484, relative_change = 6.968631380981487e-5 Iter 55: T = 582.1222165524179 K, F = -0.7636864402185398, relative_change = 2.917532232422e-5 Iter 60: T = 582.0703295793282 K, F = -0.3193924692011652, relative_change = 1.2207016824887712e-5 Iter 65: T = 582.048624929365 K, F = -0.13357543856343054, relative_change = 5.106091323128976e-6 Iter 70: T = 582.0395469285038 K, F = -0.05586313988440186, relative_change = 2.1355982653742627e-6 Iter 75: T = 582.0357502502077 K, F = -0.02336268406007319, relative_change = 8.931624170624103e-7 Iter 80: T = 582.0341624077791 K, F = -0.009770562543863492, relative_change = 3.735363873307363e-7 Iter 85: T = 582.0334983485262 K, F = -0.004086167524715911, relative_change = 1.562182872479006e-7 Iter 90: T = 582.033220630214 K, F = -0.0017088843347081162, relative_change = 6.533251236114464e-8 Iter 95: T = 582.0331044849589 K, F = -0.0007146758856680924, relative_change = 2.732286471669253e-8 Iter 100: T = 582.0330559116017 K, F = -0.00029888599801786153, relative_change = 1.1426753159030017e-8 Iter 105: T = 582.0330355976392 K, F = -0.00012499769546131523, relative_change = 4.778805492031979e-9 Iter 110: T = 582.0330271020968 K, F = -5.2275528456546816e-5, relative_change = 1.9985536447302265e-9 Iter 115: T = 582.0330235491595 K, F = -2.1862250654369753e-5, relative_change = 8.358190397526351e-10 Iter 120: T = 582.0330220632785 K, F = -9.143054541471685e-6, relative_change = 3.495495171542682e-10 Iter 125: T = 582.0330214418655 K, F = -3.823734468277884e-6, relative_change = 1.461857782696145e-10 Iter 130: T = 582.033021181983 K, F = -1.5991314475938267e-6, relative_change = 6.113663949687089e-11 Iter 135: T = 582.033021073297 K, F = -6.687757302947794e-7, relative_change = 2.55680674813563e-11 Iter 140: T = 582.0330210278433 K, F = -2.79689596482946e-7, relative_change = 1.069285584902438e-11 Iter 145: T = 582.0330210088341 K, F = -1.1696998103438716e-7, relative_change = 4.471897281079462e-12 Iter 150: T = 582.0330210008842 K, F = -4.891877902757358e-8, relative_change = 1.870221342320704e-12 Iter 155: T = 582.0330209975594 K, F = -2.0458438276804713e-8, relative_change = 7.821496909255418e-13 Iter 160: T = 582.033020996169 K, F = -8.556185204788846e-9, relative_change = 3.2711282860192124e-13 Converged in 163 iterations to T = 582.0330209957618 K Iter 1: T = 964.2847775277005 K, F = -8137.747414260754, relative_change = 0.03571522247229947 Iter 2: T = 930.4926906343806 K, F = -6903.80634914568, relative_change = 0.03504367971042583 Iter 3: T = 898.5926731099951 K, F = -5855.909016479001, relative_change = 0.03428293187626979 Iter 5: T = 840.3557138952941 K, F = -4210.432141685808, relative_change = 0.03246809338485717 Iter 10: T = 725.8980828820055 K, F = -1836.375243199095, relative_change = 0.026108756315399752 Iter 15: T = 651.9359481843323 K, F = -793.0461157249296, relative_change = 0.017919247417475265 Iter 20: T = 610.0376333738103 K, F = -338.62180230209486, relative_change = 0.010293024092753664 Iter 25: T = 589.0780186391762 K, F = -143.23267061555734, relative_change = 0.0051128166710709055 Iter 30: T = 579.4738744178154 K, F = -60.22996526146102, relative_change = 0.0023219135563046383 Iter 35: T = 575.2840709884096 K, F = -25.250503905057585, relative_change = 0.0010073810869032516 Iter 40: T = 573.499147022806 K, F = -10.57117882237393, relative_change = 0.00042800742337985054 Iter 45: T = 572.7467583926052 K, F = -4.422963608092488, relative_change = 0.0001801987771911552 Iter 50: T = 572.4310517141101 K, F = -1.850082769828793, relative_change = 7.557340497332032e-5 Iter 55: T = 572.298834883098 K, F = -0.7737874675353681, relative_change = 3.164295478030717e-5 Iter 60: T = 572.2435078704076 K, F = -0.32361779712415867, relative_change = 1.3239988683612923e-5 Iter 65: T = 572.2203637881065 K, F = -0.13534268878345934, relative_change = 5.538263809578418e-6 Iter 70: T = 572.2106836652674 K, F = -0.05660225435791327, relative_change = 2.3163679373686707e-6 Iter 75: T = 572.206635148894 K, F = -0.023671795689579, relative_change = 9.68767696683389e-7 Iter 80: T = 572.2049419806677 K, F = -0.009899837616393792, relative_change = 4.0515633543350686e-7 Iter 85: T = 572.2042338721901 K, F = -0.004140232061891902, relative_change = 1.694422876373091e-7 Iter 90: T = 572.2039377318404 K, F = -0.0017314947970503147, relative_change = 7.08629753016794e-8 Iter 95: T = 572.2038138822472 K, F = -0.0007241318554957465, relative_change = 2.9635775259575615e-8 Iter 100: T = 572.2037620868399 K, F = -0.0003028405993356631, relative_change = 1.2394040865671399e-8 Iter 105: T = 572.2037404253772 K, F = -0.00012665155752566992, relative_change = 5.183336930478386e-9 Iter 110: T = 572.2037313662937 K, F = -5.296719354430657e-5, relative_change = 2.1677335554289036e-9 Iter 115: T = 572.2037275776768 K, F = -2.2151513281776225e-5, relative_change = 9.065721052018238e-10 Iter 120: T = 572.2037259932318 K, F = -9.264027362843041e-6, relative_change = 3.791392846558728e-10 Iter 125: T = 572.203725330598 K, F = -3.874325909480891e-6, relative_change = 1.5856053791836426e-10 Iter 130: T = 572.2037250534768 K, F = -1.620289835024824e-6, relative_change = 6.631192997699837e-11 Iter 135: T = 572.2037249375812 K, F = -6.776243622885758e-7, relative_change = 2.773243300969635e-11 Iter 140: T = 572.2037248891122 K, F = -2.833896051712692e-7, relative_change = 1.1597993935287403e-11 Iter 145: T = 572.203724868842 K, F = -1.1851611758650904e-7, relative_change = 4.850386846063894e-12 Iter 150: T = 572.2037248603648 K, F = -4.9564872706131524e-8, relative_change = 2.0284903987183473e-12 Iter 155: T = 572.2037248568196 K, F = -2.0728855409934965e-8, relative_change = 8.48348475058478e-13 Iter 160: T = 572.2037248553368 K, F = -8.668209816597994e-9, relative_change = 3.5475487835976144e-13 Converged in 163 iterations to T = 572.2037248549027 K Iter 1: T = 980.0548134466864 K, F = -4544.52972894296, relative_change = 0.019945186553313662 Iter 2: T = 962.1571023906354 K, F = -3838.8681103428485, relative_change = 0.01826194903640927 Iter 3: T = 946.1865872325739 K, F = -3241.268203030613, relative_change = 0.01659865641315769 Iter 5: T = 919.5058641410328 K, F = -2307.497964514554, relative_change = 0.01342105047469712 Iter 10: T = 877.1104598886496 K, F = -979.7065127116769, relative_change = 0.007061442367821928 Iter 15: T = 857.0226789633779 K, F = -412.8665123463588, relative_change = 0.0033143069289510107 Iter 20: T = 848.1032416517568 K, F = -173.27237248304903, relative_change = 0.0014612044092550205 Iter 25: T = 844.271956005701 K, F = -72.57554433092916, relative_change = 0.0006253020463453052 Iter 30: T = 842.6511180949703 K, F = -30.371748405541155, relative_change = 0.00026407961434455685 Iter 35: T = 841.9699524692357 K, F = -12.70531767238447, relative_change = 0.0001108974061768035 Iter 40: T = 841.6844965400977 K, F = -5.314128070641611, relative_change = 4.645888677842958e-5 Iter 45: T = 841.5650128856719 K, F = -2.22253910350097, relative_change = 1.9443735795109107e-5 Iter 50: T = 841.5150254262115 K, F = -0.9295111705347536, relative_change = 8.134066782589565e-6 Iter 55: T = 841.4941169290005 K, F = -0.38873595671818084, relative_change = 3.402195064045886e-6 Iter 60: T = 841.4853721956101 K, F = -0.1625745940828245, relative_change = 1.4229140367781993e-6 Iter 65: T = 841.4817149474388 K, F = -0.06799073726882154, relative_change = 5.950928371222783e-7 Iter 70: T = 841.4801854257449 K, F = -0.028434555875257894, relative_change = 2.488772390336965e-7 Iter 75: T = 841.4795457585624 K, F = -0.011891673917014067, relative_change = 1.0408383717307267e-7 Iter 80: T = 841.4792782415924 K, F = -0.004973240581860994, relative_change = 4.35291742851973e-8 Iter 85: T = 841.4791663627108 K, F = -0.0020798686969760727, relative_change = 1.8204432868856884e-8 Iter 90: T = 841.4791195736107 K, F = -0.000869825942332092, relative_change = 7.613313374033827e-9 Iter 95: T = 841.4791000058475 K, F = -0.0003637716003983549, relative_change = 3.1839789574672755e-9 Iter 100: T = 841.4790918223748 K, F = -0.00015213362746768766, relative_change = 1.331578084927811e-9 Iter 105: T = 841.4790883999488 K, F = -6.362410118576634e-5, relative_change = 5.568818798513023e-10 Iter 110: T = 841.4790869686492 K, F = -2.6608359459556752e-5, relative_change = 2.3289465909053393e-10 Iter 115: T = 841.4790863700626 K, F = -1.112793187951766e-5, relative_change = 9.739931220411564e-11 Iter 120: T = 841.4790861197266 K, F = -4.653834732248896e-6, relative_change = 4.0733561957639337e-11 Iter 125: T = 841.4790860150331 K, F = -1.9462876248432792e-6, relative_change = 1.703524773914641e-11 Iter 130: T = 841.479085971249 K, F = -8.139621714420286e-7, relative_change = 7.124356681536339e-12 Iter 135: T = 841.479085952938 K, F = -3.4040867902263017e-7, relative_change = 2.979490856193716e-12 Iter 140: T = 841.4790859452801 K, F = -1.4236248779830873e-7, relative_change = 1.2460543952530395e-12 Iter 145: T = 841.4790859420775 K, F = -5.953887183274276e-8, relative_change = 5.211251509038481e-13 Converged in 150 iterations to T = 841.4790859407382 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: 7%|██ | ETA: 0:00:15 Bin 1 ray tracing: 13%|████ | ETA: 0:00:14 Bin 1 ray tracing: 20%|█████▉ | ETA: 0:00:13 Bin 1 ray tracing: 26%|███████▊ | ETA: 0:00:12 Bin 1 ray tracing: 32%|█████████▊ | ETA: 0:00:11 Bin 1 ray tracing: 39%|███████████▋ | ETA: 0:00:10 Bin 1 ray tracing: 45%|█████████████▋ | ETA: 0:00:09 Bin 1 ray tracing: 52%|███████████████▌ | ETA: 0:00:08 Bin 1 ray tracing: 58%|█████████████████▌ | ETA: 0:00:07 Bin 1 ray tracing: 65%|███████████████████▍ | ETA: 0:00:06 Bin 1 ray tracing: 71%|█████████████████████▍ | ETA: 0:00:05 Bin 1 ray tracing: 78%|███████████████████████▎ | ETA: 0:00:04 Bin 1 ray tracing: 84%|█████████████████████████▎ | ETA: 0:00:02 Bin 1 ray tracing: 91%|███████████████████████████▎ | ETA: 0:00:01 Bin 1 ray tracing: 97%|█████████████████████████████▎| ETA: 0:00:00 Bin 1 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 1 Energy per ray: 0.0 Processing spectral bin 2/10 ┌ Warning: No emitters found for spectral bin 2 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 2 ray tracing: 7%|██ | ETA: 0:00:15 Bin 2 ray tracing: 13%|███▉ | ETA: 0:00:14 Bin 2 ray tracing: 20%|█████▉ | ETA: 0:00:12 Bin 2 ray tracing: 26%|████████ | ETA: 0:00:11 Bin 2 ray tracing: 33%|██████████ | ETA: 0:00:10 Bin 2 ray tracing: 40%|████████████ | ETA: 0:00:09 Bin 2 ray tracing: 46%|█████████████▉ | ETA: 0:00:08 Bin 2 ray tracing: 53%|███████████████▊ | ETA: 0:00:07 Bin 2 ray tracing: 59%|█████████████████▊ | ETA: 0:00:06 Bin 2 ray tracing: 66%|███████████████████▊ | ETA: 0:00:05 Bin 2 ray tracing: 72%|█████████████████████▊ | ETA: 0:00:04 Bin 2 ray tracing: 79%|███████████████████████▊ | ETA: 0:00:03 Bin 2 ray tracing: 86%|█████████████████████████▉ | ETA: 0:00:02 Bin 2 ray tracing: 92%|███████████████████████████▊ | ETA: 0:00:01 Bin 2 ray tracing: 99%|█████████████████████████████▋| ETA: 0:00:00 Bin 2 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 2 Energy per ray: 0.0 Processing spectral bin 3/10 ┌ Warning: No emitters found for spectral bin 3 └ @ RayTraceHeatTransfer ~/.julia/packages/RayTraceHeatTransfer/UYbSj/src/RayTracing/RayTracing2D/DirectTracing/directRayTracing.jl:25 Bin 3 ray tracing: 6%|█▉ | ETA: 0:00:15 Bin 3 ray tracing: 13%|███▉ | ETA: 0:00:14 Bin 3 ray tracing: 19%|█████▊ | ETA: 0:00:13 Bin 3 ray tracing: 26%|███████▋ | ETA: 0:00:12 Bin 3 ray tracing: 32%|█████████▋ | ETA: 0:00:11 Bin 3 ray tracing: 38%|███████████▌ | ETA: 0:00:10 Bin 3 ray tracing: 45%|█████████████▍ | ETA: 0:00:09 Bin 3 ray tracing: 51%|███████████████▎ | ETA: 0:00:08 Bin 3 ray tracing: 57%|█████████████████▎ | ETA: 0:00:07 Bin 3 ray tracing: 64%|███████████████████▏ | ETA: 0:00:06 Bin 3 ray tracing: 70%|█████████████████████▏ | ETA: 0:00:05 Bin 3 ray tracing: 77%|███████████████████████ | ETA: 0:00:04 Bin 3 ray tracing: 83%|████████████████████████▉ | ETA: 0:00:03 Bin 3 ray tracing: 89%|██████████████████████████▉ | ETA: 0:00:02 Bin 3 ray tracing: 96%|████████████████████████████▊ | ETA: 0:00:01 Bin 3 ray tracing: 100%|██████████████████████████████| Time: 0:00:15 Updating spectral results for spectral bin 3 Energy per ray: 0.0 Processing spectral bin 4/10 Bin 4 ray tracing: 7%|██▏ | ETA: 0:00:14 Bin 4 ray tracing: 14%|████▏ | ETA: 0:00:13 Bin 4 ray tracing: 21%|██████▎ | ETA: 0:00:12 Bin 4 ray tracing: 28%|████████▍ | ETA: 0:00:11 Bin 4 ray tracing: 34%|██████████▎ | ETA: 0:00:10 Bin 4 ray tracing: 41%|████████████▎ | ETA: 0:00:09 Bin 4 ray tracing: 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0:00:06 Bin 7 ray tracing: 68%|████████████████████▍ | ETA: 0:00:05 Bin 7 ray tracing: 74%|██████████████████████▎ | ETA: 0:00:04 Bin 7 ray tracing: 81%|████████████████████████▍ | ETA: 0:00:03 Bin 7 ray tracing: 88%|██████████████████████████▌ | ETA: 0:00:02 Bin 7 ray tracing: 95%|████████████████████████████▌ | ETA: 0:00:01 Bin 7 ray tracing: 100%|██████████████████████████████| Time: 0:00:14 Updating spectral results for spectral bin 7 Energy per ray: 0.000216614824573769 Processing spectral bin 8/10 Bin 8 ray tracing: 7%|██▏ | ETA: 0:00:13 Bin 8 ray tracing: 14%|████▎ | ETA: 0:00:12 Bin 8 ray tracing: 22%|██████▌ | ETA: 0:00:11 Bin 8 ray tracing: 29%|████████▋ | ETA: 0:00:10 Bin 8 ray tracing: 36%|██████████▉ | ETA: 0:00:09 Bin 8 ray tracing: 43%|█████████████ | ETA: 0:00:08 Bin 8 ray tracing: 51%|███████████████▎ | ETA: 0:00:07 Bin 8 ray tracing: 58%|█████████████████▍ | ETA: 0:00:06 Bin 8 ray tracing: 65%|███████████████████▋ | ETA: 0:00:05 Bin 8 ray tracing: 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0:00:03 Bin 9 ray tracing: 89%|██████████████████████████▋ | ETA: 0:00:02 Bin 9 ray tracing: 95%|████████████████████████████▋ | ETA: 0:00:01 Bin 9 ray tracing: 100%|██████████████████████████████| Time: 0:00:13 Updating spectral results for spectral bin 9 Energy per ray: 2.172423637119241e-9 Processing spectral bin 10/10 Bin 10 ray tracing: 7%|█▉ | ETA: 0:00:14 Bin 10 ray tracing: 13%|███▉ | ETA: 0:00:13 Bin 10 ray tracing: 20%|█████▉ | ETA: 0:00:12 Bin 10 ray tracing: 28%|████████ | ETA: 0:00:11 Bin 10 ray tracing: 34%|██████████ | ETA: 0:00:10 Bin 10 ray tracing: 41%|████████████ | ETA: 0:00:09 Bin 10 ray tracing: 48%|██████████████ | ETA: 0:00:08 Bin 10 ray tracing: 55%|████████████████ | ETA: 0:00:07 Bin 10 ray tracing: 62%|██████████████████ | ETA: 0:00:06 Bin 10 ray tracing: 69%|████████████████████ | ETA: 0:00:05 Bin 10 ray tracing: 76%|██████████████████████ | ETA: 0:00:04 Bin 10 ray tracing: 82%|███████████████████████▉ | ETA: 0:00:03 Bin 10 ray tracing: 89%|█████████████████████████▉ | ETA: 0:00:02 Bin 10 ray tracing: 96%|███████████████████████████▉ | ETA: 0:00:01 Bin 10 ray tracing: 100%|█████████████████████████████| Time: 0:00:14 Updating spectral results for spectral bin 10 Energy per ray: 1.5017824710273407e-5 Iter 1: T = 967.2666347750899 K, F = -7458.328403964571, relative_change = 0.03273336522491008 Iter 2: T = 936.6060621574507 K, F = -6322.312446642213, relative_change = 0.031698160068106176 Iter 3: T = 907.9870666023277 K, F = -5357.82481099, relative_change = 0.030556064829646505 Iter 5: T = 856.7364620847878 K, F = -3844.1169352000634, relative_change = 0.027956050370420277 Iter 10: T = 761.3477693439286 K, F = -1664.69564404852, relative_change = 0.02004999678445052 Iter 15: T = 705.4280543638453 K, F = -712.8103826850544, relative_change = 0.01203386555981703 Iter 20: T = 676.6378594094398 K, F = -302.13328789844155, relative_change = 0.006169953212586946 Iter 25: T = 663.2028240526076 K, F = -127.19731123436146, relative_change = 0.002852222493487538 Iter 30: T = 657.286067601153 K, F = -53.355804661173636, relative_change = 0.0012480845302479074 Iter 35: T = 654.754371387301 K, F = -22.343181244007177, relative_change = 0.0005322976249093558 Iter 40: T = 653.6851545777175 K, F = -9.349368048181296, relative_change = 0.00022447358709519938 Iter 45: T = 653.2361385360347 K, F = -3.9109302310501177, relative_change = 9.420692064883732e-5 Iter 50: T = 653.0480274872947 K, F = -1.6357578601753728, relative_change = 3.9456366418173536e-5 Iter 55: T = 652.9692997976963 K, F = -0.6841215138578761, relative_change = 1.6511273536473194e-5 Iter 60: T = 652.9363648848138 K, F = -0.2861126942419841, relative_change = 6.906988609950264e-6 Iter 65: T = 652.9225893516991 K, F = -0.11965660404619333, relative_change = 2.8888960103219866e-6 Iter 70: T = 652.9168279514766 K, F = -0.05004197095563945, relative_change = 1.208225195094535e-6 Iter 75: T = 652.9144184112656 K, F = -0.020928176137552712, relative_change = 5.053037179974688e-7 Iter 80: T = 652.913410703358 K, F = -0.008752417787762312, relative_change = 2.1132571318738223e-7 Iter 85: T = 652.9129892662297 K, F = -0.0036603664480266973, relative_change = 8.837922800988304e-8 Iter 90: T = 652.9128130159016 K, F = -0.001530809103113262, relative_change = 3.69612995211607e-8 Iter 95: T = 652.9127393058591 K, F = -0.000640202672421486, relative_change = 1.5457665753385902e-8 Iter 100: T = 652.9127084794302 K, F = -0.00026774040706706304, relative_change = 6.464581967102917e-9 Iter 105: T = 652.9126955874481 K, F = -0.00011197223684150659, relative_change = 2.703565663021749e-9 Iter 110: T = 652.912690195867 K, F = -4.682812803880054e-5, relative_change = 1.1306635249765467e-9 Iter 115: T = 652.9126879410431 K, F = -1.9584081675294573e-5, relative_change = 4.728569795945889e-10 Iter 120: T = 652.9126869980489 K, F = -8.190296777565997e-6, relative_change = 1.9775443582527453e-10 Iter 125: T = 652.9126866036775 K, F = -3.4252798452594213e-6, relative_change = 8.270326505704386e-11 Iter 130: T = 652.9126864387466 K, F = -1.4324927216091687e-6, relative_change = 3.4587487954882575e-11 Iter 135: T = 652.9126863697707 K, F = -5.990856518089949e-7, relative_change = 1.446490265795706e-11 Iter 140: T = 652.9126863409241 K, F = -2.50545125979329e-7, relative_change = 6.049403534428792e-12 Iter 145: T = 652.91268632886 K, F = -1.0478105655353787e-7, relative_change = 2.5299350423772075e-12 Iter 150: T = 652.9126863238147 K, F = -4.381959400889812e-8, relative_change = 1.0580226051957024e-12 Iter 155: T = 652.9126863217048 K, F = -1.8326758277620314e-8, relative_change = 4.424989545553678e-13 Converged in 159 iterations to T = 652.9126863209432 K Iter 1: T = 970.261361734657 K, F = -6775.977017506439, relative_change = 0.02973863826534297 Iter 2: T = 942.6854100992525 K, F = -5739.224427623945, relative_change = 0.028421158177528136 Iter 3: T = 917.2278821222694 K, F = -4859.354303147321, relative_change = 0.027005327232446197 Iter 5: T = 872.454635902488 K, F = -3479.4816784771983, relative_change = 0.02392256424174207 Iter 10: T = 792.8858917386888 K, F = -1497.8816649202138, relative_change = 0.015616944376951923 Iter 15: T = 749.4551720997528 K, F = -637.697977059636, relative_change = 0.008569789840366868 Iter 20: T = 728.3452654895821 K, F = -269.19923462661865, relative_change = 0.004128742970858063 Iter 25: T = 718.8366700987407 K, F = -113.07760625043095, relative_change = 0.0018446942648618872 Iter 30: T = 714.7239347448002 K, F = -47.38204108842599, relative_change = 0.0007942449865310377 Iter 35: T = 712.9786424021559 K, F = -19.832161689162838, relative_change = 0.00033632033338874454 Iter 40: T = 712.24419825347 K, F = -8.29695011941951, relative_change = 0.00014139378110153894 Iter 45: T = 711.9362416455173 K, F = -3.470393659088164, relative_change = 5.926310336379896e-5 Iter 50: T = 711.8073093582439 K, F = -1.4514494442695176, relative_change = 2.48074424478758e-5 Iter 55: T = 711.7533635990857 K, F = -0.6070291346718479, relative_change = 1.0378780220229107e-5 Iter 60: T = 711.7307985083014 K, F = -0.2538695704243465, relative_change = 4.341231855141199e-6 Iter 65: T = 711.7213607602605 K, F = -0.10617176491801639, relative_change = 1.8156778197532606e-6 Iter 70: T = 711.7174136487974 K, F = -0.04440238377513306, relative_change = 7.593596301058043e-7 Iter 75: T = 711.7157628964657 K, F = -0.018569621811708847, relative_change = 3.1757702331594855e-7 Iter 80: T = 711.7150725280724 K, F = -0.007766040169271293, relative_change = 1.328151609755151e-7 Iter 85: T = 711.7147838070565 K, F = -0.0032478511920959185, relative_change = 5.5545001397985977e-8 Iter 90: T = 711.7146630603555 K, F = -0.0013582902327539115, relative_change = 2.3229603007321315e-8 Iter 95: T = 711.7146125626215 K, F = -0.0005680532096555835, relative_change = 9.71490090025911e-9 Iter 100: T = 711.7145914438623 K, F = -0.00023756663764373798, relative_change = 4.062888174463852e-9 Iter 105: T = 711.7145826117444 K, F = -9.93532054670565e-5, relative_change = 1.6991484639454539e-9 Iter 110: T = 711.7145789180471 K, F = -4.1550697656544955e-5, relative_change = 7.106042076006008e-10 Iter 115: T = 711.7145773732987 K, F = -1.7376997320628362e-5, relative_change = 2.971831578178544e-10 Iter 120: T = 711.7145767272664 K, F = -7.26726639199704e-6, relative_change = 1.2428552209345957e-10 Iter 125: T = 711.714576457088 K, F = -3.039256364245624e-6, relative_change = 5.197766867399171e-11 Iter 130: T = 711.7145763440961 K, F = -1.271052962881214e-6, relative_change = 2.1737675899568822e-11 Iter 135: T = 711.7145762968416 K, F = -5.315681761430824e-7, relative_change = 9.090932535952765e-12 Iter 140: T = 711.7145762770793 K, F = -2.2230791141275574e-7, relative_change = 3.801932312413522e-12 Iter 145: T = 711.7145762688145 K, F = -9.297305891831087e-8, relative_change = 1.5900346265621632e-12 Iter 150: T = 711.714576265358 K, F = -3.8882508657245296e-8, relative_change = 6.649725829540973e-13 Iter 155: T = 711.7145762639125 K, F = -1.6260889967867342e-8, relative_change = 2.7809537955712116e-13 Converged in 157 iterations to T = 711.7145762636065 K Iter 1: T = 974.3869770856571 K, F = -5835.951635307721, relative_change = 0.025613022914342868 Iter 2: T = 950.9633847552491 K, F = -4937.4601439144, relative_change = 0.02403931177371318 Iter 3: T = 929.6547172287142 K, F = -4175.49512252009, relative_change = 0.022407453187084727 Iter 5: T = 893.0297034921659 K, F = -2982.131340380776, relative_change = 0.01905353522609318 Iter 10: T = 831.3155640768265 K, F = -1275.2345856617128, relative_change = 0.011201401117333051 Iter 15: T = 799.9746607063603 K, F = -539.9870988614441, relative_change = 0.005656257449098232 Iter 20: T = 785.477900974905 K, F = -227.20342150928155, relative_change = 0.0025922055860619123 Iter 25: T = 779.1230481277595 K, F = -95.27912063893129, relative_change = 0.0011295547092468898 Iter 30: T = 776.409745078453 K, F = -39.89393941097981, relative_change = 0.0004808432946785929 Iter 35: T = 775.264910909488 K, F = -16.692479163514896, relative_change = 0.00020261143444012027 Iter 40: T = 774.7843330686188 K, F = -6.9824651144852545, relative_change = 8.500279906365114e-5 Iter 45: T = 774.583033701514 K, F = -2.9204082599515417, relative_change = 3.559632614741247e-5 Iter 50: T = 774.498792482083 K, F = -1.221394779148248, relative_change = 1.4895069680250406e-5 Iter 55: T = 774.463552093598 K, F = -0.5108097866800876, relative_change = 6.230742055961467e-6 Iter 60: T = 774.4488124441165 K, F = -0.21362813571473638, relative_change = 2.606023736939052e-6 Iter 65: T = 774.4426478496046 K, F = -0.08934207943223593, relative_change = 1.0899145051324725e-6 Iter 70: T = 774.4400696905968 K, F = -0.03736396687789112, relative_change = 4.5582300316412037e-7 Iter 75: T = 774.4389914646217 K, F = -0.015626064561782727, relative_change = 1.9063197746840518e-7 Iter 80: T = 774.4385405360526 K, F = -0.0065350081066753996, relative_change = 7.972480638975459e-8 Iter 85: T = 774.4383519520618 K, F = -0.002733018659874853, relative_change = 3.334190755148207e-8 Iter 90: T = 774.4382730839361 K, F = -0.0011429810800358542, relative_change = 1.3943991141181686e-8 Iter 95: T = 774.4382401003355 K, F = -0.0004780083442609273, relative_change = 5.8315448836556574e-9 Iter 100: T = 774.4382263061984 K, F = -0.00019990879986897525, relative_change = 2.4388219409453128e-9 Iter 105: T = 774.4382205373254 K, F = -8.360424854736426e-5, relative_change = 1.0199445100903072e-9 Iter 110: T = 774.4382181247137 K, F = -3.496429616767216e-5, relative_change = 4.265529931070735e-10 Iter 115: T = 774.4382171157307 K, F = -1.462248695993651e-5, relative_change = 1.7838956597925187e-10 Iter 120: T = 774.4382166937619 K, F = -6.115298604281172e-6, relative_change = 7.460464623222086e-11 Iter 125: T = 774.4382165172894 K, F = -2.557490137999885e-6, relative_change = 3.120054465718303e-11 Iter 130: T = 774.4382164434866 K, F = -1.069571606060471e-6, relative_change = 1.3048424382267546e-11 Iter 135: T = 774.4382164126214 K, F = -4.4730774639845094e-7, relative_change = 5.457008462564086e-12 Iter 140: T = 774.4382163997132 K, F = -1.870686673344224e-7, relative_change = 2.2821766647792554e-12 Iter 145: T = 774.4382163943147 K, F = -7.82340043858909e-8, relative_change = 9.544293106469894e-13 Iter 150: T = 774.4382163920571 K, F = -3.271780713021144e-8, relative_change = 3.9914656485657143e-13 Converged in 154 iterations to T = 774.4382163912422 K Iter 1: T = 970.3792912278592 K, F = -6749.106670300421, relative_change = 0.029620708772140823 Iter 2: T = 942.9235856693947 K, F = -5716.28183442667, relative_change = 0.028293787601056233 Iter 3: T = 917.5879111064864 K, F = -4839.760817203653, relative_change = 0.02686927652246831 Iter 5: T = 873.0595499747432 K, F = -3465.1866738579397, relative_change = 0.023772902603083585 Iter 10: T = 794.0584892958391 K, F = -1491.41052445823, relative_change = 0.015467246894459361 Iter 15: T = 751.0420433919854 K, F = -634.8234462700431, relative_change = 0.008462943844137467 Iter 20: T = 730.1710310152108 K, F = -267.9529197958281, relative_change = 0.0040696500966328954 Iter 25: T = 720.7797719942233 K, F = -112.54685287128508, relative_change = 0.0018165252759869425 Iter 30: T = 716.7198488409866 K, F = -47.158235342850524, relative_change = 0.0007817651602603839 Iter 35: T = 714.997360974757 K, F = -19.738227773703546, relative_change = 0.0003309707715028871 Iter 40: T = 714.272584617697 K, F = -8.257606032546693, relative_change = 0.0001391331031676923 Iter 45: T = 713.9686944464403 K, F = -3.4539289511262563, relative_change = 5.831351609058157e-5 Iter 50: T = 713.8414668874686 K, F = -1.4445618571200154, relative_change = 2.4409585284629714e-5 Iter 55: T = 713.7882347845866 K, F = -0.6041483395207599, relative_change = 1.0212263943335124e-5 Iter 60: T = 713.7659682792123 K, F = -0.2526647307969308, relative_change = 4.27157041281498e-6 Iter 65: T = 713.7566554251756 K, F = -0.105667876679999, relative_change = 1.7865406628082419e-6 Iter 70: T = 713.7527605497288 K, F = -0.04419164996175229, relative_change = 7.471734391683314e-7 Iter 75: T = 713.7511316437966 K, F = -0.01848149011082123, relative_change = 3.1248049310400717e-7 Iter 80: T = 713.7504504119463 K, F = -0.007729182386533084, relative_change = 1.3068371025476624e-7 Iter 85: T = 713.7501655119626 K, F = -0.003232436818034312, relative_change = 5.465359959450777e-8 Iter 90: T = 713.7500463632665 K, F = -0.0013518437572902497, relative_change = 2.2856807512773807e-8 Iter 95: T = 713.7499965338378 K, F = -0.0005653572175702282, relative_change = 9.558993281232087e-9 Iter 100: T = 713.7499756945721 K, F = -0.0002364391422258194, relative_change = 3.997685739027366e-9 Iter 105: T = 713.7499669793415 K, F = -9.888167325433628e-5, relative_change = 1.6718800207091518e-9 Iter 110: T = 713.7499633345279 K, F = -4.1353496027296544e-5, relative_change = 6.99200197569866e-10 Iter 115: T = 713.7499618102233 K, F = -1.7294526371669505e-5, relative_change = 2.9241388372392306e-10 Iter 120: T = 713.749961172741 K, F = -7.2327788387394065e-6, relative_change = 1.2229100201380494e-10 Iter 125: T = 713.7499609061382 K, F = -3.0248337465899056e-6, relative_change = 5.114354506074871e-11 Iter 130: T = 713.7499607946417 K, F = -1.26502082775648e-6, relative_change = 2.1388828337493194e-11 Iter 135: T = 713.7499607480127 K, F = -5.290477973485253e-7, relative_change = 8.945080013745414e-12 Iter 140: T = 713.7499607285117 K, F = -2.212533375400838e-7, relative_change = 3.740926278836609e-12 Iter 145: T = 713.7499607203563 K, F = -9.253156751931613e-8, relative_change = 1.5645132246245703e-12 Iter 150: T = 713.7499607169455 K, F = -3.8696980619867816e-8, relative_change = 6.542841492614194e-13 Iter 155: T = 713.7499607155191 K, F = -1.6184416140596625e-8, relative_change = 2.736442682690103e-13 Converged in 157 iterations to T = 713.7499607152173 K Iter 1: T = 969.3412055873076 K, F = -6985.635470974471, relative_change = 0.030658794412692408 Iter 2: T = 940.8238526837074 K, F = -5918.285345151957, relative_change = 0.029419313590741306 Iter 3: T = 914.4087625877129 K, F = -5012.327214345169, relative_change = 0.028076552290468924 Iter 5: T = 867.6989877606069 K, F = -3591.183866788686, relative_change = 0.025113337274973346 Iter 10: T = 783.5665147380786 K, F = -1548.6150290925998, relative_change = 0.0168435209147505 Iter 15: T = 736.725315393786 K, F = -660.3246494785672, relative_change = 0.00946875329291212 Iter 20: T = 713.6122329402838 K, F = -279.04041117633346, relative_change = 0.004634713332132224 Iter 25: T = 703.1089062710446 K, F = -117.27616919860758, relative_change = 0.002088133028352261 Iter 30: T = 698.5459890534777 K, F = -49.154035419764064, relative_change = 0.000902564740017916 Iter 35: T = 696.6058222546889 K, F = -20.57618183304134, relative_change = 0.0003828406660724006 Iter 40: T = 695.7886732916127 K, F = -8.608634736957608, relative_change = 0.00016106882560070897 Iter 45: T = 695.4459136922281 K, F = -3.600836753319161, relative_change = 6.753034433343642e-5 Iter 50: T = 695.3023885080136 K, F = -1.5060186037598635, relative_change = 2.8271740918047094e-5 Iter 55: T = 695.2423331799262 K, F = -0.6298534639145891, relative_change = 1.1828790070761353e-5 Iter 60: T = 695.217211830622 K, F = -0.2634154771538072, relative_change = 4.94785316434272e-6 Iter 65: T = 695.2067048210687 K, F = -0.11016406452952893, relative_change = 2.0694108168819674e-6 Iter 70: T = 695.2023104960406 K, F = -0.04607202644075381, relative_change = 8.654802232718186e-7 Iter 75: T = 695.2004727074227 K, F = -0.019267888989684456, relative_change = 3.619590463024329e-7 Iter 80: T = 695.1997041171305 K, F = -0.008058064308654744, relative_change = 1.5137644951266072e-7 Iter 85: T = 695.1993826825918 K, F = -0.0033699792568891995, relative_change = 6.330758831039217e-8 Iter 90: T = 695.1992482546717 K, F = -0.0014093656633094032, relative_change = 2.6476015587218058e-8 Iter 95: T = 695.1991920352825 K, F = -0.0005894135674897605, relative_change = 1.1072590467340135e-8 Iter 100: T = 695.1991685236578 K, F = -0.00024649979532331834, relative_change = 4.630690357214382e-9 Iter 105: T = 695.1991586908147 K, F = -0.00010308915835610666, relative_change = 1.9366101422255636e-9 Iter 110: T = 695.199154578602 K, F = -4.311311601301604e-5, relative_change = 8.099134905800081e-10 Iter 115: T = 695.1991528588256 K, F = -1.8030419419501342e-5, relative_change = 3.3871548733002276e-10 Iter 120: T = 695.1991521395946 K, F = -7.540535974737139e-6, relative_change = 1.4165484842969764e-10 Iter 125: T = 695.1991518388037 K, F = -3.153541920597469e-6, relative_change = 5.924174424679778e-11 Iter 130: T = 695.1991517130092 K, F = -1.318848176445897e-6, relative_change = 2.4775591510726224e-11 Iter 135: T = 695.1991516604005 K, F = -5.515575529635441e-7, relative_change = 1.0361438773513416e-11 Iter 140: T = 695.199151638399 K, F = -2.306680279007267e-7, relative_change = 4.333278794966601e-12 Iter 145: T = 695.1991516291976 K, F = -9.646699472565246e-8, relative_change = 1.8122077276572999e-12 Iter 150: T = 695.1991516253496 K, F = -4.034350842285761e-8, relative_change = 7.578842684439417e-13 Iter 155: T = 695.1991516237404 K, F = -1.6873513031256948e-8, relative_change = 3.169821014542446e-13 Converged in 158 iterations to T = 695.1991516232691 K Iter 1: T = 963.5229814072326 K, F = -8311.323384964571, relative_change = 0.036477018592767446 Iter 2: T = 928.9211036065594 K, F = -7052.509918248097, relative_change = 0.03591183445374277 Iter 3: T = 896.1606594340432 K, F = -5983.442205638194, relative_change = 0.03526719766116096 Iter 5: T = 836.0447329123268 K, F = -4304.563293541388, relative_change = 0.03371020229654664 Iter 10: T = 716.0397035432713 K, F = -1881.3128115267339, relative_change = 0.02802903587009999 Iter 15: T = 636.0440742260757 K, F = -814.791618807322, relative_change = 0.0201374087530366 Iter 20: T = 589.0832102230708 K, F = -348.92818471054005, relative_change = 0.012108305500802056 Iter 25: T = 564.8761393322868 K, F = -147.91052884941044, relative_change = 0.00621659199576972 Iter 30: T = 553.5708575821631 K, F = -62.27315658028039, relative_change = 0.0028760407335883505 Iter 35: T = 548.5899435910208 K, F = -26.122554913798535, relative_change = 0.0012589897562063578 Iter 40: T = 546.4582615031429 K, F = -10.939159246650522, relative_change = 0.000537040941382591 Iter 45: T = 545.5579056404351 K, F = -4.57744708811921, relative_change = 0.0002264906574916828 Iter 50: T = 545.1797885311811 K, F = -1.9147939725832093, relative_change = 9.505642652586497e-5 Iter 55: T = 545.0213774525839 K, F = -0.8008688105604664, relative_change = 3.981268743387271e-5 Iter 60: T = 544.9550792740658 K, F = -0.334946753521163, relative_change = 1.666047504786834e-5 Iter 65: T = 544.9273440422289 K, F = -0.1400811565013098, relative_change = 6.9694186557026606e-6 Iter 70: T = 544.91574334225 K, F = -0.05858403662657105, relative_change = 2.915010634633385e-6 Iter 75: T = 544.9108915294761 K, F = -0.024500617928988888, relative_change = 1.2191476284136444e-6 Iter 80: T = 544.9088623976902 K, F = -0.010246463988327237, relative_change = 5.098717824641668e-7 Iter 85: T = 544.9080137825441 K, F = -0.004285195876930381, relative_change = 2.132361624542623e-7 Iter 90: T = 544.9076588801561 K, F = -0.0017921204876896746, relative_change = 8.917820593823923e-8 Iter 95: T = 544.9075104554943 K, F = -0.0007494862592370422, relative_change = 3.729544252611568e-8 Iter 100: T = 544.9074483824854 K, F = -0.00031344411660083615, relative_change = 1.5597408533699676e-8 Iter 105: T = 544.9074224228043 K, F = -0.00013108607540737727, relative_change = 6.523024126650922e-9 Iter 110: T = 544.9074115661543 K, F = -5.482176224150259e-5, relative_change = 2.7280068502763964e-9 Iter 115: T = 544.9074070257735 K, F = -2.292711597784436e-5, relative_change = 1.1408851041716547e-9 Iter 120: T = 544.907405126932 K, F = -9.588394539489231e-6, relative_change = 4.771318248260901e-10 Iter 125: T = 544.9074043328137 K, F = -4.009981074165614e-6, relative_change = 1.995422270985786e-10 Iter 130: T = 544.907404000704 K, F = -1.6770222712181315e-6, relative_change = 8.34509574171516e-11 Iter 135: T = 544.9074038618116 K, F = -7.013508060704776e-7, relative_change = 3.490019025232364e-11 Iter 140: T = 544.9074038037252 K, F = -2.933128093740578e-7, relative_change = 1.459565279912805e-11 Iter 145: T = 544.9074037794329 K, F = -1.2266738633193164e-7, relative_change = 6.104099527320999e-12 Iter 150: T = 544.9074037692735 K, F = -5.1301199816000675e-8, relative_change = 2.5528189597867864e-12 Iter 155: T = 544.9074037650247 K, F = -2.1454590271030582e-8, relative_change = 1.0676102121746998e-12 Iter 160: T = 544.9074037632478 K, F = -8.972478343638457e-9, relative_change = 4.464829851012267e-13 Converged in 165 iterations to T = 544.9074037625047 K Iter 1: T = 966.8922293875161 K, F = -7543.6370276747375, relative_change = 0.03310777061248391 Iter 2: T = 935.8417782523172 K, F = -6395.275656975414, relative_change = 0.032113662920704195 Iter 3: T = 906.8182574449393 K, F = -5420.268115123486, relative_change = 0.031013277545248498 Iter 5: T = 854.7211858806104 K, F = -3889.9296353971613, relative_change = 0.02849380305093938 Iter 10: T = 757.1415274532446 K, F = -1685.918084273108, relative_change = 0.02070508847961819 Iter 15: T = 699.3326783790843 K, F = -722.5353951899299, relative_change = 0.012599925694999303 Iter 20: T = 669.2920575405562 K, F = -306.4642293291041, relative_change = 0.0065282382710322 Iter 25: T = 655.1872219423385 K, F = -129.07229094314692, relative_change = 0.00303625258763792 Iter 30: T = 648.9551493616764 K, F = -54.15300554773847, relative_change = 0.0013325787287564305 Iter 35: T = 646.2844417760183 K, F = -22.67903454582777, relative_change = 0.0005690950417671718 Iter 40: T = 645.1557545606012 K, F = -9.490268720337058, relative_change = 0.00024012992493511505 Iter 45: T = 644.681627251657 K, F = -3.9699350506507076, relative_change = 0.0001008022208809927 Iter 50: T = 644.4829718847988 K, F = -1.660448182273568, relative_change = 4.2222997586046406e-5 Iter 55: T = 644.3998269671778 K, F = -0.6944497210108418, relative_change = 1.766978545230944e-5 Iter 60: T = 644.3650434078279 K, F = -0.29043249741856575, relative_change = 7.391750245873359e-6 Iter 65: T = 644.3504945195438 K, F = -0.12146327144169161, relative_change = 3.0916742871969555e-6 Iter 70: T = 644.3444096528622 K, F = -0.05079755380141093, relative_change = 1.2930373946216776e-6 Iter 75: T = 644.341864828102 K, F = -0.021244172175238385, relative_change = 5.407745750037931e-7 Iter 80: T = 644.3408005413535 K, F = -0.008884571500298921, relative_change = 2.2616029095021948e-7 Iter 85: T = 644.3403554420637 K, F = -0.0037156347775008647, relative_change = 9.458326786128061e-8 Iter 90: T = 644.3401692958996 K, F = -0.0015539229909975472, relative_change = 3.955591048330593e-8 Iter 95: T = 644.3400914472937 K, F = -0.0006498691788701105, relative_change = 1.6542764346063634e-8 Iter 100: T = 644.3400588900671 K, F = -0.00027178305517067125, relative_change = 6.918383365015962e-9 Iter 105: T = 644.3400452742444 K, F = -0.00011366292008374579, relative_change = 2.893350853483068e-9 Iter 110: T = 644.3400395799443 K, F = -4.753519021089003e-5, relative_change = 1.2100339218160429e-9 Iter 115: T = 644.3400371985201 K, F = -1.987978355172393e-5, relative_change = 5.060506284398664e-10 Iter 120: T = 644.3400362025801 K, F = -8.313963183348427e-6, relative_change = 2.11636425204232e-10 Iter 125: T = 644.340035786066 K, F = -3.476998898077621e-6, relative_change = 8.850888598673459e-11 Iter 130: T = 644.3400356118748 K, F = -1.4541222042585566e-6, relative_change = 3.701546659227022e-11 Iter 135: T = 644.3400355390261 K, F = -6.081310041095023e-7, relative_change = 1.548030338339657e-11 Iter 140: T = 644.3400355085598 K, F = -2.543281033551281e-7, relative_change = 6.474059327911837e-12 Iter 145: T = 644.3400354958185 K, F = -1.0636409536468605e-7, relative_change = 2.7075555344898313e-12 Iter 150: T = 644.3400354904899 K, F = -4.448254375954974e-8, relative_change = 1.1323271930829021e-12 Iter 155: T = 644.3400354882614 K, F = -1.860296217071067e-8, relative_change = 4.73548456491156e-13 Converged in 160 iterations to T = 644.3400354873295 K Iter 1: T = 965.2012554471117 K, F = -7928.927048527339, relative_change = 0.03479874455288823 Iter 2: T = 932.3780997121685 K, F = -6724.9869040576705, relative_change = 0.03400654065637173 Iter 3: T = 901.501091848429 K, F = -5702.634106825687, relative_change = 0.03311640189025389 Iter 5: T = 845.4724119595791 K, F = -4097.486818615669, relative_change = 0.031023785569412453 Iter 10: T = 737.2952817813635 K, F = -1782.9299510412043, relative_change = 0.024022424381891852 Iter 15: T = 669.7019780523158 K, F = -767.6413040969318, relative_change = 0.01571707056664825 Iter 20: T = 632.7483903561097 K, F = -326.8513096549196, relative_change = 0.008641491270370486 Iter 25: T = 614.765236728182 K, F = -137.98902919792465, relative_change = 0.004168495959019129 Iter 30: T = 606.6594227754513 K, F = -57.96502640325403, relative_change = 0.0018636696709037077 Iter 35: T = 603.1522376697867 K, F = -24.289126150628867, relative_change = 0.0008026570991918736 Iter 40: T = 601.6636907184454 K, F = -10.166512272032774, relative_change = 0.00033992725594255725 Iter 45: T = 601.0372473627226 K, F = -4.25326104955614, relative_change = 0.00014291821821276948 Iter 50: T = 600.7745687488647 K, F = -1.7790288308049262, relative_change = 5.9903468603435785e-5 Iter 55: T = 600.6645917184907 K, F = -0.7440574100961279, relative_change = 2.5075747779551208e-5 Iter 60: T = 600.6185766837832 K, F = -0.3111818002809666, relative_change = 1.0491075807555164e-5 Iter 65: T = 600.5993289134841 K, F = -0.13014136327161224, relative_change = 4.388210456636704e-6 Iter 70: T = 600.5912786129028 K, F = -0.05442692038835767, relative_change = 1.835327499419379e-6 Iter 75: T = 600.5879117668017 K, F = -0.02276203148468381, relative_change = 7.675778274131717e-7 Iter 80: T = 600.5865036915687 K, F = -0.009519360989289682, relative_change = 3.210140532009809e-7 Iter 85: T = 600.585914814195 K, F = -0.0039811117769003035, relative_change = 1.3425258218757655e-7 Iter 90: T = 600.5856685380335 K, F = -0.0016649487220751213, relative_change = 5.614615063679111e-8 Iter 95: T = 600.5855655422946 K, F = -0.0006963014802847667, relative_change = 2.3481011277852738e-8 Iter 100: T = 600.5855224682279 K, F = -0.0002912016022196262, relative_change = 9.820042947236362e-9 Iter 105: T = 600.5855044541354 K, F = -0.0001217839888081329, relative_change = 4.1068598594403526e-9 Iter 110: T = 600.5854969204262 K, F = -5.093151819868247e-5, relative_change = 1.7175379309657978e-9 Iter 115: T = 600.5854937697391 K, F = -2.130016886014996e-5, relative_change = 7.182948822434649e-10 Iter 120: T = 600.5854924520839 K, F = -8.907984379802336e-6, relative_change = 3.0039948039672117e-10 Iter 125: T = 600.585491901025 K, F = -3.7254257214125452e-6, relative_change = 1.2563065988250181e-10 Iter 130: T = 600.5854916705655 K, F = -1.558017855063376e-6, relative_change = 5.2540253446176024e-11 Iter 135: T = 600.5854915741846 K, F = -6.515823492980743e-7, relative_change = 2.1972984255651548e-11 Iter 140: T = 600.585491533877 K, F = -2.725002413161981e-7, relative_change = 9.189388755643156e-12 Iter 145: T = 600.5854915170198 K, F = -1.1396258248197455e-7, relative_change = 3.843102923893099e-12 Iter 150: T = 600.58549150997 K, F = -4.7661388835607e-8, relative_change = 1.6072610747491185e-12 Iter 155: T = 600.5854915070216 K, F = -1.9932911043962775e-8, relative_change = 6.721875465830401e-13 Iter 160: T = 600.5854915057885 K, F = -8.335361456612844e-9, relative_change = 2.81089207446957e-13 Converged in 162 iterations to T = 600.5854915055276 K Iter 1: T = 980.0952001446643 K, F = -4535.32758139101, relative_change = 0.019904799855335685 Iter 2: T = 962.2361370209122 K, F = -3831.052051000949, relative_change = 0.018221763682870814 Iter 3: T = 946.3022423114378 K, F = -3234.6328254832856, relative_change = 0.016559235406400172 Iter 5: T = 919.6877719777009 K, F = -2302.7244316434653, relative_change = 0.013384668168483894 Iter 10: T = 877.41329945809 K, F = -977.6363212424294, relative_change = 0.0070374780441994815 Iter 15: T = 857.3909868540029 K, F = -411.9829676235613, relative_change = 0.003301702878036325 Iter 20: T = 848.5026006000037 K, F = -172.8992155686225, relative_change = 0.0014553489759831857 Iter 25: T = 844.685057526067 K, F = -72.41879900053115, relative_change = 0.0006227383868794103 Iter 30: T = 843.070109312751 K, F = -30.306071635605036, relative_change = 0.0002629863307056778 Iter 35: T = 842.3914325301879 K, F = -12.677828877563604, relative_change = 0.00011043640572497052 Iter 40: T = 842.1070220205731 K, F = -5.3026280609796235, relative_change = 4.626542441385483e-5 Iter 45: T = 841.9879763743368 K, F = -2.21772898407967, relative_change = 1.936271051352242e-5 Iter 50: T = 841.9381722356035 K, F = -0.9274994024370395, relative_change = 8.100160544343175e-6 Iter 55: T = 841.9173404299025 K, F = -0.3878945905035385, relative_change = 3.3880114828082955e-6 Iter 60: T = 841.9086277741206 K, F = -0.1622227210487195, relative_change = 1.4169816660739556e-6 Iter 65: T = 841.9049839419412 K, F = -0.06784357913065286, relative_change = 5.926117390824485e-7 Iter 70: T = 841.9034600311069 K, F = -0.028373012473272174, relative_change = 2.478395950003515e-7 Iter 75: T = 841.9028227104758 K, F = -0.011865935711598885, relative_change = 1.0364987868525218e-7 Iter 80: T = 841.9025561748659 K, F = -0.004962476558224793, relative_change = 4.334768711627805e-8 Iter 85: T = 841.9024447064014 K, F = -0.0020753670548678826, relative_change = 1.8128532679713797e-8 Iter 90: T = 841.9023980889427 K, F = -0.0008679433041158813, relative_change = 7.581571011336663e-9 Iter 95: T = 841.902378592962 K, F = -0.00036298425885905594, relative_change = 3.1707039214605267e-9 Iter 100: T = 841.9023704395096 K, F = -0.00015180435351824784, relative_change = 1.326026320542148e-9 Iter 105: T = 841.9023670296383 K, F = -6.34863916191275e-5, relative_change = 5.545600370184674e-10 Iter 110: T = 841.9023656035894 K, F = -2.6550766047295227e-5, relative_change = 2.3192362245341352e-10 Iter 115: T = 841.9023650071987 K, F = -1.110384858837854e-5, relative_change = 9.699323898562948e-11 Iter 120: T = 841.902364757781 K, F = -4.643762897327264e-6, relative_change = 4.0563738017808274e-11 Iter 125: T = 841.9023646534715 K, F = -1.942076175209806e-6, relative_change = 1.6964231587631377e-11 Iter 130: T = 841.9023646098481 K, F = -8.121998607002467e-7, relative_change = 7.09464783700962e-12 Iter 135: T = 841.9023645916043 K, F = -3.396714789438704e-7, relative_change = 2.9670646847365265e-12 Iter 140: T = 841.9023645839745 K, F = -1.4205620102458738e-7, relative_change = 1.2408752675867815e-12 Iter 145: T = 841.9023645807836 K, F = -5.9409004160571044e-8, relative_change = 5.189436533177716e-13 Converged in 150 iterations to T = 841.9023645794491 K Iter 1: T = 976.418697709311 K, F = -5373.022158542922, relative_change = 0.023581302290688944 Iter 2: T = 954.9994217852789 K, F = -4543.267889754403, relative_change = 0.021936568783742116 Iter 3: T = 935.6506867686751 K, F = -3839.913093383594, relative_change = 0.02026046778168014 Iter 5: T = 902.7444481493167 K, F = -2739.195852591424, relative_change = 0.01690731136277442 Iter 10: T = 848.5406888881442 K, F = -1168.0809565472598, relative_change = 0.009516766258452046 Iter 15: T = 821.773051848727 K, F = -493.6361374965681, relative_change = 0.004662209994334257 Iter 20: T = 809.603109868699 K, F = -207.47357109434995, relative_change = 0.0021014840896170606 Iter 25: T = 804.314895961941 K, F = -86.95977248985793, relative_change = 0.0009085307480637498 Iter 30: T = 802.0660843501798 K, F = -36.40212542876177, relative_change = 0.00038540769296038725 Iter 35: T = 801.1188970462999 K, F = -15.22991235413762, relative_change = 0.00016215537545637197 Iter 40: T = 800.721583821965 K, F = -6.370405090262173, relative_change = 6.798705443876464e-5 Iter 45: T = 800.5552137539706 K, F = -2.664367706708203, relative_change = 2.846314740130408e-5 Iter 50: T = 800.4855991797468 K, F = -1.1143033431736282, relative_change = 1.1908909523995759e-5 Iter 55: T = 800.4564791216559 K, F = -0.4660207305930446, relative_change = 4.981372502417515e-6 Iter 60: T = 800.4442996437274 K, F = -0.19489644340723622, relative_change = 2.083431178551083e-6 Iter 65: T = 800.4392058443565 K, F = -0.0815081965592952, relative_change = 8.713440862914969e-7 Iter 70: T = 800.4370755223008 K, F = -0.034087732058004416, relative_change = 3.6441145037205296e-7 Iter 75: T = 800.4361845901719 K, F = -0.014255902032477508, relative_change = 1.5240208584324836e-7 Iter 80: T = 800.4358119906657 K, F = -0.005961989423879488, relative_change = 6.373652370222288e-8 Iter 85: T = 800.4356561649188 K, F = -0.0024933753430987915, relative_change = 2.6655401856305968e-8 Iter 90: T = 800.4355909966984 K, F = -0.0010427593744527508, relative_change = 1.114761201797412e-8 Iter 95: T = 800.4355637425647 K, F = -0.0004360944289384383, relative_change = 4.662065289676823e-9 Iter 100: T = 800.4355523445595 K, F = -0.00018237989860381276, relative_change = 1.949731516939396e-9 Iter 105: T = 800.4355475777775 K, F = -7.627345062466429e-5, relative_change = 8.154010170185533e-10 Iter 110: T = 800.4355455842522 K, F = -3.1898466362312305e-5, relative_change = 3.4101043034732895e-10 Iter 115: T = 800.4355447505362 K, F = -1.3340321169286184e-5, relative_change = 1.4261465218419098e-10 Iter 120: T = 800.4355444018662 K, F = -5.579081395312713e-6, relative_change = 5.964314833602974e-11 Iter 125: T = 800.4355442560483 K, F = -2.33324024256909e-6, relative_change = 2.4943495918300235e-11 Iter 130: T = 800.4355441950654 K, F = -9.757874932514454e-7, relative_change = 1.0431652480447144e-11 Iter 135: T = 800.4355441695616 K, F = -4.0808405366021816e-7, relative_change = 4.3626210221823216e-12 Iter 140: T = 800.4355441588956 K, F = -1.7066537050247632e-7, relative_change = 1.8244974937928027e-12 Iter 145: T = 800.435544154435 K, F = -7.137197899353964e-8, relative_change = 7.63001869804111e-13 Iter 150: T = 800.4355441525695 K, F = -2.9846056737170557e-8, relative_change = 3.190691559646219e-13 Converged in 153 iterations to T = 800.4355441520233 K Iter 1: T = 980.9230970187443 K, F = -4346.690491098637, relative_change = 0.01907690298125565 Iter 2: T = 963.8540500491828 K, F = -3670.866499999952, relative_change = 0.017401004239209334 Iter 3: T = 948.666594181213 K, F = -3098.679066478456, relative_change = 0.01575700788640643 Iter 5: T = 923.3969574586964 K, F = -2204.9712334332335, relative_change = 0.012649436250009676 Iter 10: T = 883.5569744836174 K, F = -935.298141575926, relative_change = 0.00656001542728929 Iter 15: T = 864.8407627961752 K, F = -393.92995368468974, relative_change = 0.0030527026428745375 Iter 20: T = 856.5687528866098 K, F = -165.27849323171841, relative_change = 0.0013401600502506918 Iter 25: T = 853.0233511349483 K, F = -69.21844885185793, relative_change = 0.0005724022957126848 Iter 30: T = 851.5249108970446 K, F = -28.965253414009325, relative_change = 0.00024153809611412075 Iter 35: T = 850.8954449843199 K, F = -12.116658564533282, relative_change = 0.00010139560128834395 Iter 40: T = 850.6317011152222 K, F = -5.067865347578701, relative_change = 4.247194404716419e-5 Iter 45: T = 850.5213136391417 K, F = -2.119535338363182, relative_change = 1.7774036083181158e-5 Iter 50: T = 850.4751331035352 K, F = -0.8864313580368535, relative_change = 7.435373319666398e-6 Iter 55: T = 850.4558171963812 K, F = -0.3707190433611738, relative_change = 3.109922215477696e-6 Iter 60: T = 850.447738588739 K, F = -0.15503963205093307, relative_change = 1.3006696375240942e-6 Iter 65: T = 850.4443599372789 K, F = -0.06483951327096871, relative_change = 5.439665998309767e-7 Iter 70: T = 850.442946930675 K, F = -0.027116674110246652, relative_change = 2.2749525652862e-7 Iter 75: T = 850.4423559919525 K, F = -0.01134051963177396, relative_change = 9.514157037922748e-8 Iter 80: T = 850.4421088538867 K, F = -0.004742741212873325, relative_change = 3.9789399946970816e-8 Iter 85: T = 850.4420054977201 K, F = -0.0019834710971244895, relative_change = 1.6640412557293232e-8 Iter 90: T = 850.4419622729235 K, F = -0.0008295113145935229, relative_change = 6.95922106261643e-9 Iter 95: T = 850.441944195795 K, F = -0.0003469115397820577, relative_change = 2.9104296666969568e-9 Iter 100: T = 850.4419366357237 K, F = -0.00014508254987632974, relative_change = 1.2171765038939518e-9 Iter 105: T = 850.4419334740114 K, F = -6.067525327746459e-5, relative_change = 5.090377445625222e-10 Iter 110: T = 850.4419321517456 K, F = -2.537511371270007e-5, relative_change = 2.1288565024828667e-10 Iter 115: T = 850.4419315987583 K, F = -1.061217710396356e-5, relative_change = 8.903133423953545e-11 Iter 120: T = 850.4419313674923 K, F = -4.4381363968337695e-6, relative_change = 3.723394375987032e-11 Iter 125: T = 850.4419312707741 K, F = -1.8560813821455469e-6, relative_change = 1.557167776170086e-11 Iter 130: T = 850.4419312303255 K, F = -7.762345266559834e-7, relative_change = 6.5122542769963425e-12 Iter 135: T = 850.4419312134094 K, F = -3.2462882360029255e-7, relative_change = 2.7234880342606022e-12 Iter 140: T = 850.441931206335 K, F = -1.357653738320863e-7, relative_change = 1.1390096757659454e-12 Iter 145: T = 850.4419312033764 K, F = -5.678089043392731e-8, relative_change = 4.763658197848652e-13 Converged in 150 iterations to T = 850.441931202139 K Iter 1: T = 967.2768518369827 K, F = -7456.000436693369, relative_change = 0.03272314816301731 Iter 2: T = 936.6269052506508 K, F = -6320.321571475337, relative_change = 0.03168683973789274 Iter 3: T = 908.0189192744526 K, F = -5356.121197534007, relative_change = 0.030543630356787945 Iter 5: T = 856.791295014792 K, F = -3842.867480574487, relative_change = 0.027941485551118316 Iter 10: T = 761.4616583957132 K, F = -1664.1177438528086, relative_change = 0.02003248168732467 Iter 15: T = 705.5922774085268 K, F = -712.5461912108818, relative_change = 0.012018938228898659 Iter 20: T = 676.8350539567136 K, F = -302.0158976127098, relative_change = 0.0061606044732340735 Iter 25: T = 663.4175570245989 K, F = -127.14656491498108, relative_change = 0.002847450207235179 Iter 30: T = 657.5090258908145 K, F = -53.334245003743064, relative_change = 0.0012459000822710915 Iter 35: T = 654.9809494561546 K, F = -22.33410158212081, relative_change = 0.0005313475961877834 Iter 40: T = 653.9132800031234 K, F = -9.3455594433507, relative_change = 0.0002240696139108172 Iter 45: T = 653.4649171093978 K, F = -3.9093354108770444, relative_change = 9.40367878824178e-5 Iter 50: T = 653.2770802809165 K, F = -1.6350905328150618, relative_change = 3.938500576259913e-5 Iter 55: T = 653.1984674608514 K, F = -0.6838423674431438, relative_change = 1.648139296775825e-5 Iter 60: T = 653.1655806206129 K, F = -0.2859959409987036, relative_change = 6.8944857733994884e-6 Iter 65: T = 653.1518251977996 K, F = -0.11960777454176713, relative_change = 2.8836660502271957e-6 Iter 70: T = 653.1460722089508 K, F = -0.05002154953985871, relative_change = 1.2060377665746457e-6 Iter 75: T = 653.1436661866528 K, F = -0.020919635600627096, relative_change = 5.043888748867393e-7 Iter 80: T = 653.142659950009 K, F = -0.008748846021427392, relative_change = 2.1094310881533714e-7 Iter 85: T = 653.1422391281862 K, F = -0.0036588726901467528, relative_change = 8.821921722116811e-8 Iter 90: T = 653.1420631351872 K, F = -0.0015301843936781911, relative_change = 3.6894380872338885e-8 Iter 95: T = 653.141989532763 K, F = -0.00063994141172391, relative_change = 1.5429679550407128e-8 Iter 100: T = 653.1419587513415 K, F = -0.00026763114484290584, relative_change = 6.452877800290396e-9 Iter 105: T = 653.1419458781818 K, F = -0.00011192654140557146, relative_change = 2.698670823597881e-9 Iter 110: T = 653.1419404944725 K, F = -4.680901616599398e-5, relative_change = 1.128616408400968e-9 Iter 115: T = 653.1419382429409 K, F = -1.9576089859585366e-5, relative_change = 4.720008750477495e-10 Iter 120: T = 653.1419373013235 K, F = -8.186955653743944e-6, relative_change = 1.9739643037936918e-10 Iter 125: T = 653.1419369075278 K, F = -3.423881685615804e-6, relative_change = 8.255352212795674e-11 Iter 130: T = 653.1419367428379 K, F = -1.4319092724868199e-6, relative_change = 3.452489449328509e-11 Iter 135: T = 653.1419366739625 K, F = -5.988419323754712e-7, relative_change = 1.443873221652633e-11 Iter 140: T = 653.141936645158 K, F = -2.504422965676767e-7, relative_change = 6.038436958226494e-12 Iter 145: T = 653.1419366331116 K, F = -1.0473815803546671e-7, relative_change = 2.525351241149311e-12 Iter 150: T = 653.1419366280737 K, F = -4.380403506587527e-8, relative_change = 1.0561630679771907e-12 Iter 155: T = 653.1419366259668 K, F = -1.8319630812335674e-8, relative_change = 4.4170628240447627e-13 Converged in 159 iterations to T = 653.1419366252063 K Iter 1: T = 973.4858768431253 K, F = -6041.268182736213, relative_change = 0.026514123156874684 Iter 2: T = 949.1648240308466 K, F = -5112.427942811344, relative_change = 0.024983467547724902 Iter 3: T = 926.9696487413424 K, F = -4324.582109540155, relative_change = 0.023383899958752445 Iter 5: T = 888.6356862108212 K, F = -3090.2887965857217, relative_change = 0.020055794736084574 Iter 10: T = 823.3437515644989 K, F = -1323.2505187893853, relative_change = 0.012038965147319353 Iter 15: T = 789.7251700519987 K, F = -560.8795057705962, relative_change = 0.006173196020303042 Iter 20: T = 774.0360019456573 K, F = -236.1297114738843, relative_change = 0.0028538890454135354 Iter 25: T = 767.1263094179156 K, F = -99.0501685868552, relative_change = 0.0012488495713386253 Iter 30: T = 764.1697056280814 K, F = -41.47810732373071, relative_change = 0.0005326307502909818 Iter 35: T = 762.9210284511861 K, F = -17.356267778054395, relative_change = 0.00022461531167250817 Iter 40: T = 762.3966468152767 K, F = -7.260294255657088, relative_change = 9.4266620526395e-5 Iter 45: T = 762.1769617988315 K, F = -3.0366392360951155, relative_change = 3.948140923415036e-5 Iter 50: T = 762.0850198182108 K, F = -1.2700108860801327, relative_change = 1.652176000953315e-5 Iter 55: T = 762.0465568356293 K, F = -0.5311428353452818, relative_change = 6.911376502015915e-6 Iter 60: T = 762.0304691010608 K, F = -0.2221318715743149, relative_change = 2.890731485883767e-6 Iter 65: T = 762.0237406586741 K, F = -0.09289848042184201, relative_change = 1.208992884026199e-6 Iter 70: T = 762.0209266808025 K, F = -0.0388513027323214, relative_change = 5.056247871400131e-7 Iter 75: T = 762.0197498306472 K, F = -0.016248087312584314, relative_change = 2.1145999027771013e-7 Iter 80: T = 762.0192576559332 K, F = -0.00679514564784045, relative_change = 8.843538465266567e-8 Iter 85: T = 762.0190518222535 K, F = -0.0028418113203455553, relative_change = 3.698478494247472e-8 Iter 90: T = 762.0189657400915 K, F = -0.0011884794765850692, relative_change = 1.5467487646725327e-8 Iter 95: T = 762.0189297394932 K, F = -0.0004970363173990577, relative_change = 6.468689598854418e-9 Iter 100: T = 762.0189146836112 K, F = -0.00020786652572779563, relative_change = 2.7052835222429837e-9 Iter 105: T = 762.0189083870612 K, F = -8.693226344924643e-5, relative_change = 1.1313819206309127e-9 Iter 110: T = 762.0189057537688 K, F = -3.635611095631486e-5, relative_change = 4.731574410368833e-10 Iter 115: T = 762.0189046524944 K, F = -1.5204559812964646e-5, relative_change = 1.9788009425269404e-10 Iter 120: T = 762.0189041919283 K, F = -6.358727711708312e-6, relative_change = 8.275580865340477e-11 Iter 125: T = 762.018903999314 K, F = -2.659295005646989e-6, relative_change = 3.460945630678786e-11 Iter 130: T = 762.0189039187605 K, F = -1.1121503501465568e-6, relative_change = 1.447410644084761e-11 Iter 135: T = 762.0189038850721 K, F = -4.6511525442216595e-7, relative_change = 6.053253231721996e-12 Iter 140: T = 762.0189038709832 K, F = -1.9451629551525684e-7, relative_change = 2.531536825247279e-12 Iter 145: T = 762.018903865091 K, F = -8.134936801962311e-8, relative_change = 1.058723230947497e-12 Iter 150: T = 762.0189038626269 K, F = -3.402194403978598e-8, relative_change = 4.4277937732451727e-13 Converged in 154 iterations to T = 762.0189038617374 K Iter 1: T = 969.9442264266057 K, F = -6848.236599119497, relative_change = 0.030055773573394323 Iter 2: T = 942.0444524542567 K, F = -5800.928617005841, relative_change = 0.028764307485117185 Iter 3: T = 916.2582598816311 K, F = -4912.058392283276, relative_change = 0.027372585768586793 Iter 5: T = 870.8227741194977 K, F = -3517.947317239079, relative_change = 0.024328325107934198 Iter 10: T = 789.7083819260465 K, F = -1515.3182262143534, relative_change = 0.016027738044414187 Iter 15: T = 745.1387235266584 K, F = -645.4560374216879, relative_change = 0.00886615114681444 Iter 20: T = 723.3671606277325 K, F = -272.5671476935814, relative_change = 0.004293800048859989 Iter 25: T = 713.5321612213226 K, F = -114.51289478510085, relative_change = 0.001923664714720195 Iter 30: T = 709.2721947246944 K, F = -47.98747855589075, relative_change = 0.0008292913478817366 Iter 35: T = 707.4632650067799 K, F = -20.086310500056054, relative_change = 0.0003513544260191844 Iter 40: T = 706.7018307771255 K, F = -8.403407108380193, relative_change = 0.00014774908277615968 Iter 45: T = 706.3825196346271 K, F = -3.514945025695293, relative_change = 6.193297730127592e-5 Iter 50: T = 706.2488269468809 K, F = -1.4700865844004647, relative_change = 2.5926126790525174e-5 Iter 55: T = 706.1928882613963 K, F = -0.6148243246693053, relative_change = 1.0846997388562895e-5 Iter 60: T = 706.1694893425056 K, F = -0.25712977217790295, relative_change = 4.5371106392800734e-6 Iter 65: T = 706.1597028141535 K, F = -0.10753524825326288, relative_change = 1.8976079995051018e-6 Iter 70: T = 706.1556098275009 K, F = -0.04497261369034011, relative_change = 7.936257921484904e-7 Iter 75: T = 706.1538980664817 K, F = -0.01880809963004393, relative_change = 3.319078882641732e-7 Iter 80: T = 706.153182183187 K, F = -0.00786577459008797, relative_change = 1.3880856047743584e-7 Iter 85: T = 706.1528827914752 K, F = -0.0032895613436079163, relative_change = 5.8051523242989764e-8 Iter 90: T = 706.1527575821516 K, F = -0.001375733920599087, relative_change = 2.427786222745331e-8 Iter 95: T = 706.1527052180937 K, F = -0.0005753483697388262, relative_change = 1.0153295761434726e-8 Iter 100: T = 706.1526833188152 K, F = -0.00024061756129667433, relative_change = 4.246230204968094e-9 Iter 105: T = 706.1526741602746 K, F = -0.00010062913798669637, relative_change = 1.775824296870863e-9 Iter 110: T = 706.1526703300635 K, F = -4.208430816088349e-5, relative_change = 7.426709636423739e-10 Iter 115: T = 706.1526687282235 K, F = -1.7600160397091003e-5, relative_change = 3.105938720334589e-10 Iter 120: T = 706.1526680583148 K, F = -7.360597674921365e-6, relative_change = 1.2989407431980937e-10 Iter 125: T = 706.152667778151 K, F = -3.078288310920385e-6, relative_change = 5.4323226054610865e-11 Iter 130: T = 706.1526676609832 K, F = -1.287377454972649e-6, relative_change = 2.2718631101329872e-11 Iter 135: T = 706.1526676119821 K, F = -5.383964267746677e-7, relative_change = 9.501199328109103e-12 Iter 140: T = 706.1526675914894 K, F = -2.251643538286885e-7, relative_change = 3.973524528055994e-12 Iter 145: T = 706.152667582919 K, F = -9.41658402364709e-8, relative_change = 1.6617651486296979e-12 Iter 150: T = 706.1526675793348 K, F = -3.9380895766605306e-8, relative_change = 6.949632684634511e-13 Iter 155: T = 706.1526675778359 K, F = -1.6470225072673372e-8, relative_change = 2.906536589920774e-13 Converged in 157 iterations to T = 706.1526675775186 K Iter 1: T = 973.499961784897 K, F = -6038.058915355296, relative_change = 0.026500038215103 Iter 2: T = 949.1929775163799 K, F = -5109.692403688924, relative_change = 0.02496865456876915 Iter 3: T = 927.0117420255509 K, F = -4322.250564273684, relative_change = 0.023368520433924237 Iter 5: T = 888.7047837931632 K, F = -3088.5962217971687, relative_change = 0.020039879155249074 Iter 10: T = 823.470033300011 K, F = -1322.4975288991077, relative_change = 0.012025396919673472 Iter 15: T = 789.8883865909515 K, F = -560.5512122577195, relative_change = 0.00616469652531356 Iter 20: T = 774.2187404168023 K, F = -235.98926358579067, relative_change = 0.0028495497033906247 Iter 25: T = 767.3181780953664 K, F = -98.9907937081979, relative_change = 0.0012468631692681834 Iter 30: T = 764.3655875583956 K, F = -41.45315686282428, relative_change = 0.0005317668277997235 Iter 35: T = 763.1186250819339 K, F = -17.34581174910758, relative_change = 0.00022424794816542333 Iter 40: T = 762.5949670792837 K, F = -7.255917622400736, relative_change = 9.411190505716531e-5 Iter 45: T = 762.3755858492913 K, F = -3.03480820828854, relative_change = 3.941651508041544e-5 Iter 50: T = 762.2837711186693 K, F = -1.269245011385927, relative_change = 1.6494587108485917e-5 Iter 55: T = 762.2453613891118 K, F = -0.5308225169217322, relative_change = 6.900006622274977e-6 Iter 60: T = 762.2292959318178 K, F = -0.22199790700115707, relative_change = 2.8859754429916897e-6 Iter 65: T = 762.2225768071423 K, F = -0.09284245421169168, relative_change = 1.2070036710664797e-6 Iter 70: T = 762.2197667262392 K, F = -0.0388278717917786, relative_change = 5.047928431978772e-7 Iter 75: T = 762.218591505876 K, F = -0.01623828819631723, relative_change = 2.1111205593498962e-7 Iter 80: T = 762.2181000127663 K, F = -0.006791047535247174, relative_change = 8.828987337402488e-8 Iter 85: T = 762.2178944641428 K, F = -0.0028400974424345193, relative_change = 3.6923930250386755e-8 Iter 90: T = 762.217808501195 K, F = -0.0011877627148800807, relative_change = 1.544203749235713e-8 Iter 95: T = 762.2177725504532 K, F = -0.0004967365591642681, relative_change = 6.458046036393803e-9 Iter 100: T = 762.217757515422 K, F = -0.00020774116379274066, relative_change = 2.7008322634504423e-9 Iter 105: T = 762.217751227592 K, F = -8.687983451438619e-5, relative_change = 1.1295203369037917e-9 Iter 110: T = 762.2177485979464 K, F = -3.633418500670338e-5, relative_change = 4.72378910404486e-10 Iter 115: T = 762.2177474981971 K, F = -1.5195390776989726e-5, relative_change = 1.9755451199443119e-10 Iter 120: T = 762.2177470382688 K, F = -6.354893821169938e-6, relative_change = 8.261965550274393e-11 Iter 125: T = 762.2177468459214 K, F = -2.657693535690342e-6, relative_change = 3.4552540261641104e-11 Iter 130: T = 762.2177467654794 K, F = -1.1114806692802404e-6, relative_change = 1.4450304400752961e-11 Iter 135: T = 762.2177467318377 K, F = -4.6483479509973336e-7, relative_change = 6.043293844250157e-12 Iter 140: T = 762.2177467177681 K, F = -1.943989960118131e-7, relative_change = 2.5273715918314296e-12 Iter 145: T = 762.2177467118842 K, F = -8.130104756087775e-8, relative_change = 1.0569908395337813e-12 Iter 150: T = 762.2177467094234 K, F = -3.400139270137714e-8, relative_change = 4.42050400277903e-13 Converged in 154 iterations to T = 762.2177467085352 K Iter 1: T = 964.2990716953677 K, F = -8134.490474560514, relative_change = 0.03570092830463224 Iter 2: T = 930.5221413301216 K, F = -6901.01667320357, relative_change = 0.03502744258154442 Iter 3: T = 898.6381807105671 K, F = -5853.517123483047, relative_change = 0.03426459103270604 Iter 5: T = 840.4360966757843 K, F = -4208.668057994811, relative_change = 0.03244515340470049 Iter 10: T = 726.0796168173204 K, F = -1835.5366183031722, relative_change = 0.026074423920664492 Iter 15: T = 652.2237951318903 K, F = -792.6438624370102, relative_change = 0.0178813285072429 Iter 20: T = 610.4112363111667 K, F = -338.43336045062284, relative_change = 0.010263368488362993 Iter 25: T = 589.5048196275521 K, F = -143.1479821233164, relative_change = 0.005095372066334518 Iter 30: T = 579.9279485407869 K, F = -60.19319736205578, relative_change = 0.0023133182272352653 Iter 35: T = 575.7506857860561 K, F = -25.234858325200516, relative_change = 0.0010035133982401376 Iter 40: T = 573.9712297486825 K, F = -10.564585853436556, relative_change = 0.00042633812451825016 Iter 45: T = 573.2211689860985 K, F = -4.420197421431106, relative_change = 0.00017949127854438224 Iter 50: T = 572.9064432004703 K, F = -1.8489243395318011, relative_change = 7.527585607744401e-5 Iter 55: T = 572.774637888213 K, F = -0.7733027209392798, relative_change = 3.1518223348794184e-5 Iter 60: T = 572.7194832054246 K, F = -0.3234150217343963, relative_change = 1.3187773142744058e-5 Iter 65: T = 572.6964112334618 K, F = -0.13525787719136328, relative_change = 5.5164176529731234e-6 Iter 70: T = 572.6867612750134 K, F = -0.05656678364963885, relative_change = 2.307230040033281e-6 Iter 75: T = 572.6827253749706 K, F = -0.023656961156070466, relative_change = 9.64945843607829e-7 Iter 80: T = 572.6810374832584 K, F = -0.009893633592544082, relative_change = 4.0355794271077377e-7 Iter 85: T = 572.6803315815192 K, F = -0.004137637456813781, relative_change = 1.6877381227905633e-7 Iter 90: T = 572.6800363640605 K, F = -0.0017304097016261344, relative_change = 7.058340948309136e-8 Iter 95: T = 572.6799129004324 K, F = -0.0007236780552524746, relative_change = 2.9518857232422918e-8 Iter 100: T = 572.6798612664405 K, F = -0.00030265081464919685, relative_change = 1.2345144306868971e-8 Iter 105: T = 572.6798396724835 K, F = -0.00012657218606920706, relative_change = 5.1628877476452305e-9 Iter 110: T = 572.6798306416321 K, F = -5.29340005731016e-5, relative_change = 2.1591815073904762e-9 Iter 115: T = 572.679826864822 K, F = -2.2137631517149536e-5, relative_change = 9.02995533542604e-10 Iter 120: T = 572.6798252853148 K, F = -9.258222036123698e-6, relative_change = 3.7764352751404754e-10 Iter 125: T = 572.6798246247461 K, F = -3.8718990265085296e-6, relative_change = 1.5793503427260897e-10 Iter 130: T = 572.6798243484884 K, F = -1.6192751832178054e-6, relative_change = 6.605034903925255e-11 Iter 135: T = 572.6798242329539 K, F = -6.771996585164253e-7, relative_change = 2.7623021905608757e-11 Iter 140: T = 572.6798241846361 K, F = -2.832127024010589e-7, relative_change = 1.1552266140612362e-11 Iter 145: T = 572.6798241644291 K, F = -1.1844285674467159e-7, relative_change = 4.831292495705554e-12 Iter 150: T = 572.6798241559782 K, F = -4.9533926516076576e-8, relative_change = 2.020492362765728e-12 Iter 155: T = 572.679824152444 K, F = -2.071612820175872e-8, relative_change = 8.450123332212336e-13 Iter 160: T = 572.6798241509659 K, F = -8.66352756201394e-9, relative_change = 3.533859014529711e-13 Converged in 163 iterations to T = 572.6798241505332 K Iter 1: T = 963.53937037476 K, F = -8307.589143123505, relative_change = 0.03646062962523997 Iter 2: T = 928.954956217754 K, F = -7049.310150543107, relative_change = 0.03589309915126222 Iter 3: T = 896.2131202106502 K, F = -5980.697284760869, relative_change = 0.035245881178579755 Iter 5: T = 836.1380414709954 K, F = -4302.535789398266, relative_change = 0.033683070599324405 Iter 10: T = 716.2556948419523 K, F = -1880.3408841684206, relative_change = 0.027985766202744653 Iter 15: T = 636.397977950906 K, F = -814.3170988836574, relative_change = 0.02008523519282357 Iter 20: T = 589.55732363284 K, F = -348.7005505419686, relative_change = 0.012063714618893096 Iter 25: T = 565.4299024028655 K, F = -147.80612060473388, relative_change = 0.006188605499418875 Iter 30: T = 554.1672257366052 K, F = -62.227256168980695, relative_change = 0.0028617365553710223 Iter 35: T = 549.206344503836 K, F = -26.102899958506306, relative_change = 0.0012524382156394295 Iter 40: T = 547.0834883622407 K, F = -10.93085305740851, relative_change = 0.0005341908574370214 Iter 45: T = 546.1869071764248 K, F = -4.5739577774282605, relative_change = 0.0002252785954065662 Iter 50: T = 545.8103837054326 K, F = -1.913331942937274, relative_change = 9.454594259343135e-5 Iter 55: T = 545.6526417637737 K, F = -0.8002568871896505, relative_change = 3.959856503235717e-5 Iter 60: T = 545.5866238935503 K, F = -0.33469075481468774, relative_change = 1.657081561770518e-5 Iter 65: T = 545.5590059718777 K, F = -0.13997407989558952, relative_change = 6.931902590921082e-6 Iter 70: T = 545.5474543467451 K, F = -0.058539253306034406, relative_change = 2.899317569730405e-6 Iter 75: T = 545.5426230601659 K, F = -0.02448188855303124, relative_change = 1.2125840066638992e-6 Iter 80: T = 545.5406025131186 K, F = -0.010238631060095954, relative_change = 5.071266934729159e-7 Iter 85: T = 545.5397574882893 K, F = -0.0042819200381646605, relative_change = 2.1208811523042534e-7 Iter 90: T = 545.5394040874284 K, F = -0.0017907504914459194, relative_change = 8.86980757512223e-8 Iter 95: T = 545.5392562907253 K, F = -0.0007489133104479351, relative_change = 3.709464581279453e-8 Iter 100: T = 545.5391944803367 K, F = -0.0003132045022355978, relative_change = 1.5513432839717177e-8 Iter 105: T = 545.5391686304866 K, F = -0.00013098586597745654, relative_change = 6.487904479962143e-9 Iter 110: T = 545.5391578197692 K, F = -5.477985318480538e-5, relative_change = 2.713319378145372e-9 Iter 115: T = 545.539153298598 K, F = -2.2909589210334813e-5, relative_change = 1.1347426323443048e-9 Iter 120: T = 545.5391514077901 K, F = -9.581063867392103e-6, relative_change = 4.745629314050259e-10 Iter 125: T = 545.5391506170315 K, F = -4.006915078319517e-6, relative_change = 1.9846787422554805e-10 Iter 130: T = 545.5391502863268 K, F = -1.6757389868504724e-6, relative_change = 8.300159822114409e-11 Iter 135: T = 545.5391501480223 K, F = -7.008139923936341e-7, relative_change = 3.4712256473752696e-11 Iter 140: T = 545.5391500901817 K, F = -2.930887230412349e-7, relative_change = 1.4517077340534877e-11 Iter 145: T = 545.5391500659921 K, F = -1.2257315548658276e-7, relative_change = 6.0712127030469726e-12 Iter 150: T = 545.5391500558757 K, F = -5.126166846558533e-8, relative_change = 2.539059156629016e-12 Iter 155: T = 545.5391500516449 K, F = -2.1438032571374777e-8, relative_change = 1.0618544915098371e-12 Iter 160: T = 545.5391500498756 K, F = -8.966387354814032e-9, relative_change = 4.4411718537018387e-13 Converged in 164 iterations to T = 545.5391500492369 K Iter 1: T = 969.2874280784212 K, F = -6997.888727529875, relative_change = 0.030712571921578894 Iter 2: T = 940.7148818207595 K, F = -5928.753054989018, relative_change = 0.029477888013368456 Iter 3: T = 914.2434533376844 K, F = -5021.27264800776, relative_change = 0.028139693540129258 Iter 5: T = 867.4190659389402 K, F = -3597.7212423329497, relative_change = 0.02518421676776899 Iter 10: T = 783.0122486790594 K, F = -1551.593686451809, relative_change = 0.016918579086316787 Iter 15: T = 735.9613607092912 K, F = -661.6583816622112, relative_change = 0.009525159191079711 Iter 20: T = 712.7229369455912 K, F = -279.6223415053044, relative_change = 0.004666993192575705 Iter 25: T = 702.1567114616181 K, F = -117.52489952668267, relative_change = 0.002103801743471299 Iter 30: T = 697.5651779346088 K, F = -49.25910656738689, relative_change = 0.0009095655023765283 Iter 35: T = 695.6125939889188 K, F = -20.620316709417352, relative_change = 0.00038585275992878245 Iter 40: T = 694.7901696973798 K, F = -8.627126930076574, relative_change = 0.00016234373099379773 Iter 45: T = 694.4451892070424 K, F = -3.608576491185381, relative_change = 6.806622098109178e-5 Iter 50: T = 694.3007326297976 K, F = -1.5092565223341952, relative_change = 2.8496325089998835e-5 Iter 55: T = 694.2402873274647 K, F = -0.6312077871805674, relative_change = 1.1922796977618876e-5 Iter 60: T = 694.2150028066554 K, F = -0.2639819040540861, relative_change = 4.987182528121481e-6 Iter 65: T = 694.2044275428963 K, F = -0.11040095675196376, relative_change = 2.085861372835826e-6 Iter 70: T = 694.2000046707064 K, F = -0.046171098599238625, relative_change = 8.723604876640337e-7 Iter 75: T = 694.1981549428981 K, F = -0.019309322324633893, relative_change = 3.648365329477455e-7 Iter 80: T = 694.1973813594195 K, F = -0.008075392255947889, relative_change = 1.52579862440802e-7 Iter 85: T = 694.1970578366575 K, F = -0.003377226016975987, relative_change = 6.38108723564569e-8 Iter 90: T = 694.1969225354151 K, F = -0.0014123963454504285, relative_change = 2.6686495394828553e-8 Iter 95: T = 694.1968659507918 K, F = -0.0005906810359074255, relative_change = 1.1160615724295103e-8 Iter 100: T = 694.1968422864217 K, F = -0.00024702986630220636, relative_change = 4.667503593459528e-9 Iter 105: T = 694.1968323896986 K, F = -0.00010331083973147415, relative_change = 1.9520058672992054e-9 Iter 110: T = 694.1968282507706 K, F = -4.320582616879065e-5, relative_change = 8.163521736563867e-10 Iter 115: T = 694.1968265198216 K, F = -1.8069192705527648e-5, relative_change = 3.414082364462372e-10 Iter 120: T = 694.196825795918 K, F = -7.556752248505383e-6, relative_change = 1.427810037380976e-10 Iter 125: T = 694.1968254931729 K, F = -3.160324560824712e-6, relative_change = 5.971273094984503e-11 Iter 130: T = 694.1968253665614 K, F = -1.321686327160343e-6, relative_change = 2.4972593353434316e-11 Iter 135: T = 694.1968253136108 K, F = -5.527450341880069e-7, relative_change = 1.044383730712945e-11 Iter 140: T = 694.1968252914663 K, F = -2.311650886266392e-7, relative_change = 4.367747203044581e-12 Iter 145: T = 694.1968252822052 K, F = -9.667678269043023e-8, relative_change = 1.8266588165667983e-12 Iter 150: T = 694.1968252783321 K, F = -4.043220946936543e-8, relative_change = 7.639461083324261e-13 Iter 155: T = 694.1968252767123 K, F = -1.6909624700467418e-8, relative_change = 3.194987895285606e-13 Converged in 158 iterations to T = 694.196825276238 K Iter 1: T = 966.4621035121625 K, F = -7641.641617529395, relative_change = 0.03353789648783753 Iter 2: T = 934.9625797833012 K, F = -6479.115228488987, relative_change = 0.03259261135474499 Iter 3: T = 905.4717272930174 K, F = -5492.038638701397, relative_change = 0.031542281079440695 Iter 5: T = 852.3916379473491 K, F = -3942.62392724202, relative_change = 0.029121394626124314 Iter 10: T = 752.2285415482015 K, F = -1710.4100461936316, relative_change = 0.021490870339039566 Iter 15: T = 692.1361308100574 K, F = -733.8171534488678, relative_change = 0.013299401832794586 Iter 20: T = 660.5494064173805 K, F = -311.51393617624586, relative_change = 0.006981339698324403 Iter 25: T = 645.6035293766502 K, F = -131.26582558955667, relative_change = 0.003272192656358336 Iter 30: T = 638.9721896270031 K, F = -55.08730088217573, relative_change = 0.0014416439388774394 Iter 35: T = 636.1247563119886 K, F = -23.072967301619784, relative_change = 0.0006167389193593702 Iter 40: T = 634.9203304796646 K, F = -9.65559473556251, relative_change = 0.00026042801262886724 Iter 45: T = 634.4141984611626 K, F = -4.039179020159298, relative_change = 0.00010935768291243133 Iter 50: T = 634.202099892712 K, F = -1.689424899875719, relative_change = 4.581273594690411e-5 Iter 55: T = 634.1133225892582 K, F = -0.7065712974959126, relative_change = 1.9173118016848394e-5 Iter 60: T = 634.0761816971083 K, F = -0.2955024399848042, relative_change = 8.020822914083396e-6 Iter 65: T = 634.0606466286622 K, F = -0.12358367899955242, relative_change = 3.354823175335652e-6 Iter 70: T = 634.054149274468 K, F = -0.051684350537544665, relative_change = 1.4031004564156976e-6 Iter 75: T = 634.0514319328494 K, F = -0.021615044129901895, relative_change = 5.868061954695177e-7 Iter 80: T = 634.0502954958016 K, F = -0.009039675100792843, relative_change = 2.454116025800179e-7 Iter 85: T = 634.0498202220997 K, F = -0.003780501045853424, relative_change = 1.0263445543181479e-7 Iter 90: T = 634.0496214565843 K, F = -0.0015810508538388612, relative_change = 4.292302359264652e-8 Iter 95: T = 634.0495383304061 K, F = -0.0006612143780146407, relative_change = 1.7950933073143656e-8 Iter 100: T = 634.0495035660342 K, F = -0.00027652775495973225, relative_change = 7.507296699816804e-9 Iter 105: T = 634.0494890271566 K, F = -0.00011564721039680759, relative_change = 3.139641501313867e-9 Iter 110: T = 634.049482946824 K, F = -4.836504510236095e-5, relative_change = 1.3130356471907428e-9 Iter 115: T = 634.0494804039563 K, F = -2.022683926233837e-5, relative_change = 5.491271936653812e-10 Iter 120: T = 634.0494793404986 K, F = -8.45910538960215e-6, relative_change = 2.29651542703167e-10 Iter 125: T = 634.0494788957478 K, F = -3.5376983967827513e-6, relative_change = 9.604300451812805e-11 Iter 130: T = 634.0494787097479 K, F = -1.479508230095572e-6, relative_change = 4.0166345428248185e-11 Iter 135: T = 634.0494786319605 K, F = -6.18748079495024e-7, relative_change = 1.6798047218009282e-11 Iter 140: T = 634.0494785994289 K, F = -2.587685889454683e-7, relative_change = 7.025164393646232e-12 Iter 145: T = 634.0494785858236 K, F = -1.0821993617904369e-7, relative_change = 2.9380028136474007e-12 Iter 150: T = 634.0494785801337 K, F = -4.525804481181339e-8, relative_change = 1.2286854686643003e-12 Iter 155: T = 634.0494785777541 K, F = -1.8926570699573375e-8, relative_change = 5.138269336937596e-13 Converged in 160 iterations to T = 634.049478576759 K Iter 1: T = 966.4838257580176 K, F = -7636.692183148106, relative_change = 0.03351617424198237 Iter 2: T = 935.0070111876225 K, F = -6474.880703600099, relative_change = 0.03256838214101275 Iter 3: T = 905.5398269745896 K, F = -5488.413202027099, relative_change = 0.03151546871889713 Iter 5: T = 852.5096560801544 K, F = -3939.9611176197914, relative_change = 0.029089444997580472 Iter 10: T = 752.4787789209796 K, F = -1709.1702411750316, relative_change = 0.021450300859954755 Iter 15: T = 692.5047531492761 K, F = -733.2444809518307, relative_change = 0.013262726451117736 Iter 20: T = 660.9991382923038 K, F = -311.2569039549327, relative_change = 0.006957291643576954 Iter 25: T = 646.0977439477499 K, F = -131.15396636542118, relative_change = 0.003259579148658983 Iter 30: T = 639.4876160993114 K, F = -55.03960970959694, relative_change = 0.0014357921511239042 Iter 35: T = 636.64959175894 K, F = -23.052849786931723, relative_change = 0.0006141784527449736 Iter 40: T = 635.4492021107592 K, F = -9.647150111374268, relative_change = 0.0002593363856101695 Iter 45: T = 634.9447763469611 K, F = -4.035641832143116, relative_change = 0.00010889743381215818 Iter 50: T = 634.7333945937764 K, F = -1.6879446296491092, relative_change = 4.561959822020623e-5 Iter 55: T = 634.6449176407526 K, F = -0.7059520596661446, relative_change = 1.9092230337145973e-5 Iter 60: T = 634.6079024586197 K, F = -0.2952434373632557, relative_change = 7.98697454440625e-6 Iter 65: T = 634.5924199810905 K, F = -0.12347535576715402, relative_change = 3.340663851790045e-6 Iter 70: T = 634.5859446241055 K, F = -0.051639047552695494, relative_change = 1.3971782404940686e-6 Iter 75: T = 634.5832364825176 K, F = -0.021596097720682328, relative_change = 5.843293459986834e-7 Iter 80: T = 634.5821038931261 K, F = -0.009031751458297876, relative_change = 2.443757356554134e-7 Iter 85: T = 634.5816302285764 K, F = -0.0037771872792317085, relative_change = 1.0220124021293813e-7 Iter 90: T = 634.5814321360306 K, F = -0.0015796649963505938, relative_change = 4.274184724025325e-8 Iter 95: T = 634.5813492912968 K, F = -0.0006606347956223391, relative_change = 1.7875162855333097e-8 Iter 100: T = 634.5813146446284 K, F = -0.00027628536686385985, relative_change = 7.475608677763634e-9 Iter 105: T = 634.5813001549758 K, F = -0.00011554584015410763, relative_change = 3.1263891716064106e-9 Iter 110: T = 634.5812940952296 K, F = -4.832265031734506e-5, relative_change = 1.3074933495003786e-9 Iter 115: T = 634.5812915609714 K, F = -2.0209109043545226e-5, relative_change = 5.468093327380623e-10 Iter 120: T = 634.5812905011144 K, F = -8.451690966693182e-6, relative_change = 2.2868220092217536e-10 Iter 125: T = 634.5812900578695 K, F = -3.534597669330175e-6, relative_change = 9.563761622025557e-11 Iter 130: T = 634.5812898724992 K, F = -1.4782114028388804e-6, relative_change = 3.9996805367813254e-11 Iter 135: T = 634.5812897949751 K, F = -6.18205317604037e-7, relative_change = 1.672713235228133e-11 Iter 140: T = 634.5812897625535 K, F = -2.585403671151454e-7, relative_change = 6.995473537748401e-12 Iter 145: T = 634.5812897489944 K, F = -1.0812364131806973e-7, relative_change = 2.9255627667057367e-12 Iter 150: T = 634.581289743324 K, F = -4.521947410962568e-8, relative_change = 1.223528991236944e-12 Iter 155: T = 634.5812897409525 K, F = -1.8910635890545535e-8, relative_change = 5.116758146971636e-13 Converged in 160 iterations to T = 634.5812897399608 K Iter 1: T = 976.4923801833153 K, F = -5356.233536750941, relative_change = 0.02350761981668476 Iter 2: T = 955.1452961793306 K, F = -4528.980171228787, relative_change = 0.02186098369756583 Iter 3: T = 935.8666456020583 K, F = -3827.757525534923, relative_change = 0.02018399782147144 Iter 5: T = 903.091898675169 K, F = -2730.40923804564, relative_change = 0.016832295328486405 Iter 10: T = 849.1471228598673 K, F = -1164.2221429301517, relative_change = 0.00946041534814653 Iter 15: T = 822.5324342923049 K, F = -491.9731822036022, relative_change = 0.00462997063837849 Iter 20: T = 810.4388248947295 K, F = -206.7673364566746, relative_change = 0.0020858373951474587 Iter 25: T = 805.1852559574054 K, F = -86.66232186063317, relative_change = 0.0009015403207276873 Iter 30: T = 802.9514620676114 K, F = -36.277343916394294, relative_change = 0.0003824001398386839 Iter 35: T = 802.0106521722792 K, F = -15.17765868038595, relative_change = 0.00016088240901169213 Iter 40: T = 801.6160233233226 K, F = -6.34853988640194, relative_change = 6.745199580416835e-5 Iter 45: T = 801.450778938099 K, F = -2.655221294548749, relative_change = 2.8238906587712348e-5 Iter 50: T = 801.3816356722546 K, F = -1.1104778325447529, relative_change = 1.1815046434044241e-5 Iter 55: T = 801.3527128145587 K, F = -0.4644207912848256, relative_change = 4.942103323146049e-6 Iter 60: T = 801.3406158245716 K, F = -0.19422731829750528, relative_change = 2.067005799256455e-6 Iter 65: T = 801.3355565255087 K, F = -0.08122835845591558, relative_change = 8.644743522623906e-7 Iter 70: T = 801.3334406323949 K, F = -0.03397070006983227, relative_change = 3.615383678219888e-7 Iter 75: T = 801.3325557347097 K, F = -0.014206957795809827, relative_change = 1.512005148112631e-7 Iter 80: T = 801.3321856588952 K, F = -0.0059415203494631585, relative_change = 6.323400997544068e-8 Iter 85: T = 801.332030888589 K, F = -0.002484814928254364, relative_change = 2.64452441816215e-8 Iter 90: T = 801.3319661617669 K, F = -0.0010391793062493049, relative_change = 1.105972149422799e-8 Iter 95: T = 801.3319390922314 K, F = -0.000434597201159459, relative_change = 4.625308405550112e-9 Iter 100: T = 801.3319277714274 K, F = -0.0001817537399395608, relative_change = 1.934359345589273e-9 Iter 105: T = 801.3319230369318 K, F = -7.601158569681132e-5, relative_change = 8.089722134508177e-10 Iter 110: T = 801.3319210569092 K, F = -3.178895243793889e-5, relative_change = 3.383218398063943e-10 Iter 115: T = 801.33192022884 K, F = -1.329451816167726e-5, relative_change = 1.4149021974565103e-10 Iter 120: T = 801.3319198825317 K, F = -5.559925492226725e-6, relative_change = 5.917289154194232e-11 Iter 125: T = 801.3319197377014 K, F = -2.3252260179518203e-6, relative_change = 2.4746796927680133e-11 Iter 130: T = 801.3319196771316 K, F = -9.724382605824644e-7, relative_change = 1.0349416350157117e-11 Iter 135: T = 801.3319196518006 K, F = -4.0668458534121044e-7, relative_change = 4.328241974970861e-12 Iter 140: T = 801.3319196412069 K, F = -1.7008123309736334e-7, relative_change = 1.8101318781864134e-12 Iter 145: T = 801.3319196367765 K, F = -7.113129329994194e-8, relative_change = 7.570325026308738e-13 Iter 150: T = 801.3319196349236 K, F = -2.9747285967829384e-8, relative_change = 3.1659289882429935e-13 Converged in 153 iterations to T = 801.331919634381 K Iter 1: T = 965.1611392799791 K, F = -7938.06755536885, relative_change = 0.034838860720020924 Iter 2: T = 932.2956918194977 K, F = -6732.812417864103, relative_change = 0.034051772416986606 Iter 3: T = 901.3741790327731 K, F = -5709.339767539723, relative_change = 0.03316706604787285 Iter 5: T = 845.2500043761586 K, F = -4102.423922100088, relative_change = 0.031085896738363792 Iter 10: T = 736.8063847637897 K, F = -1785.2559615893638, relative_change = 0.02410909556168754 Iter 15: T = 668.9520652724691 K, F = -768.7377795437706, relative_change = 0.015804583459711294 Iter 20: T = 631.8032041236116 K, F = -327.3543140584066, relative_change = 0.008704475244612266 Iter 25: T = 613.7058891856142 K, F = -138.21139332212655, relative_change = 0.004203519244849175 Iter 30: T = 605.5436144536905 K, F = -58.06064948435288, relative_change = 0.0018804123403324084 Iter 35: T = 602.0109353834123 K, F = -24.3296271479263, relative_change = 0.0008100844490081418 Iter 40: T = 600.5113645948559 K, F = -10.183543721419838, relative_change = 0.0003431128758301134 Iter 45: T = 599.8802449601397 K, F = -4.2604004737500745, relative_change = 0.00014426476430515602 Iter 50: T = 599.6155989263129 K, F = -1.7820175629204678, relative_change = 6.0469137690434236e-5 Iter 55: T = 599.5047970280793 K, F = -0.745307849503489, relative_change = 2.5312761583482233e-5 Iter 60: T = 599.4584366607285 K, F = -0.3117048393461517, relative_change = 1.059027566905219e-5 Iter 65: T = 599.4390444046128 K, F = -0.13036012027098223, relative_change = 4.429710652674311e-6 Iter 70: T = 599.4309336672111 K, F = -0.05451840994560653, relative_change = 1.8526857616769133e-6 Iter 75: T = 599.4275415437633 K, F = -0.02280029399384792, relative_change = 7.748376771187515e-7 Iter 80: T = 599.4261228969017 K, F = -0.009535362911076928, relative_change = 3.2405028197174463e-7 Iter 85: T = 599.4255295982871 K, F = -0.00398780398674059, relative_change = 1.3552238208913068e-7 Iter 90: T = 599.4252814730993 K, F = -0.001667747485608273, relative_change = 5.667719831383679e-8 Iter 95: T = 599.4251777040738 K, F = -0.0006974719566317233, relative_change = 2.370310213399413e-8 Iter 100: T = 599.4251343066092 K, F = -0.00029169110941318355, relative_change = 9.912924061541213e-9 Iter 105: T = 599.4251161572678 K, F = -0.000121988706734244, relative_change = 4.145703867944874e-9 Iter 110: T = 599.4251085669958 K, F = -5.1017133937680814e-5, relative_change = 1.7337829698304625e-9 Iter 115: T = 599.4251053926534 K, F = -2.1335974952796377e-5, relative_change = 7.250887710729709e-10 Iter 120: T = 599.4251040651055 K, F = -8.922960154922333e-6, relative_change = 3.0324080786555304e-10 Iter 125: T = 599.4251035099091 K, F = -3.7316886453697684e-6, relative_change = 1.268189328280662e-10 Iter 130: T = 599.4251032777194 K, F = -1.5606373274246188e-6, relative_change = 5.303721172081309e-11 Iter 135: T = 599.4251031806148 K, F = -6.526768838166497e-7, relative_change = 2.2180785689706667e-11 Iter 140: T = 599.4251031400046 K, F = -2.7295832422113975e-7, relative_change = 9.276305387619976e-12 Iter 145: T = 599.4251031230208 K, F = -1.1415445144713487e-7, relative_change = 3.87946239098684e-12 Iter 150: T = 599.425103115918 K, F = -4.774002010377032e-8, relative_change = 1.6224125314442943e-12 Iter 155: T = 599.4251031129475 K, F = -1.9965697983792552e-8, relative_change = 6.78520841388232e-13 Iter 160: T = 599.4251031117053 K, F = -8.350717117799888e-9, relative_change = 2.837935147381356e-13 Converged in 162 iterations to T = 599.4251031114424 K Iter 1: T = 964.5939419046947 K, F = -8067.304016871393, relative_change = 0.03540605809530532 Iter 2: T = 931.1293578893257 K, F = -6843.47389898626, relative_change = 0.03469292368692432 Iter 3: T = 899.5759125499015 K, F = -5804.18457134236, relative_change = 0.033887284373622525 Iter 5: T = 842.090171643711 K, F = -4172.2949919188795, relative_change = 0.03197488555286627 Iter 10: T = 729.7971819163238 K, F = -1818.2732096381844, relative_change = 0.02537930087143159 Iter 15: T = 658.0827017978343 K, F = -784.390077080504, relative_change = 0.017126019611160857 Iter 20: T = 617.973502440145 K, F = -334.5824023775426, relative_change = 0.009681775067947946 Iter 25: T = 598.1119228666802 K, F = -141.42298632257837, relative_change = 0.004756923094949814 Iter 30: T = 589.0669979802493 K, F = -59.44573575807828, relative_change = 0.002147535065867324 Iter 35: T = 585.1334647408476 K, F = -24.917100184424342, relative_change = 0.000929122762378246 Iter 40: T = 583.4601049053883 K, F = -10.430741657289408, relative_change = 0.00039427060446446926 Iter 45: T = 582.7551804175135 K, F = -4.364051326241714, relative_change = 0.00016590728275596366 Iter 50: T = 582.4594679192345 K, F = -1.8254131879957654, relative_change = 6.956418252877925e-5 Iter 55: T = 582.3356383239442 K, F = -0.763464775055558, relative_change = 2.912413458692642e-5 Iter 60: T = 582.2838234179583 K, F = -0.3192997463929328, relative_change = 1.2185590045377817e-5 Iter 65: T = 582.2621489227072 K, F = -0.13353665731458764, relative_change = 5.097126981708527e-6 Iter 70: T = 582.2530835355998 K, F = -0.05584692049642348, relative_change = 2.131848674687345e-6 Iter 75: T = 582.2492921329974 K, F = -0.023355900812882024, relative_change = 8.915941892153801e-7 Iter 80: T = 582.2477064970095 K, F = -0.009767725691837814, relative_change = 3.728805175366819e-7 Iter 85: T = 582.2470433605307 K, F = -0.004084981115641928, relative_change = 1.5594399146096145e-7 Iter 90: T = 582.2467660281361 K, F = -0.0017083881630031161, relative_change = 6.521779800287683e-8 Iter 95: T = 582.2466500442769 K, F = -0.0007144683802047247, relative_change = 2.72748896880299e-8 Iter 100: T = 582.2466015384173 K, F = -0.00029879921750897154, relative_change = 1.1406689441530589e-8 Iter 105: T = 582.2465812526833 K, F = -0.00012496140228057673, relative_change = 4.770414582440135e-9 Iter 110: T = 582.2465727689464 K, F = -5.226035114558325e-5, relative_change = 1.995044501202926e-9 Iter 115: T = 582.2465692209461 K, F = -2.1855902761713786e-5, relative_change = 8.343514525401641e-10 Iter 120: T = 582.24656773713 K, F = -9.140399795826148e-6, relative_change = 3.489357553481494e-10 Iter 125: T = 582.2465671165804 K, F = -3.822624182914236e-6, relative_change = 1.4592909426724098e-10 Iter 130: T = 582.2465668570592 K, F = -1.598667325741765e-6, relative_change = 6.102929930122827e-11 Iter 135: T = 582.2465667485244 K, F = -6.685825849617189e-7, relative_change = 2.5523213031514754e-11 Iter 140: T = 582.2465667031338 K, F = -2.7960949999794593e-7, relative_change = 1.0674123133405037e-11 Iter 145: T = 582.2465666841508 K, F = -1.1693655754818622e-7, relative_change = 4.464065828481355e-12 Iter 150: T = 582.2465666762118 K, F = -4.890292770731719e-8, relative_change = 1.8668745949284736e-12 Iter 155: T = 582.2465666728917 K, F = -2.0452166960005513e-8, relative_change = 7.807637027055403e-13 Iter 160: T = 582.2465666715033 K, F = -8.55323950554876e-9, relative_change = 3.2652085031451235e-13 Converged in 163 iterations to T = 582.2465666710967 K Iter 1: T = 964.2357459475522 K, F = -8148.919306438613, relative_change = 0.03576425405244774 Iter 2: T = 930.3916587452444 K, F = -6913.375599986549, relative_change = 0.03509939072944171 Iter 3: T = 898.4365386274824 K, F = -5864.113952475931, relative_change = 0.03434587984253607 Iter 5: T = 840.0798455765441 K, F = -4216.483872300271, relative_change = 0.03254688294886298 Iter 10: T = 725.2744487946553 K, F = -1839.2531297370626, relative_change = 0.02622697849034493 Iter 15: T = 650.9458257048052 K, F = -794.4274572506904, relative_change = 0.018050269530116778 Iter 20: T = 608.7510101410096 K, F = -339.26947482865165, relative_change = 0.010395836360349353 Iter 25: T = 587.6070161920072 K, F = -143.52395145160685, relative_change = 0.005173437067200381 Iter 30: T = 577.9082023591284 K, F = -60.35647989932218, relative_change = 0.0023518211813265233 Iter 35: T = 573.674834080175 K, F = -25.30435007350032, relative_change = 0.0010208470894864602 Iter 40: T = 571.8709083104393 K, F = -10.593871473598472, relative_change = 0.0004338209539056506 Iter 45: T = 571.1104287446565 K, F = -4.432485065322228, relative_change = 0.00018266301352361518 Iter 50: T = 570.7913125622364 K, F = -1.8540702575645491, relative_change = 7.660982689732379e-5 Iter 55: T = 570.6576652849883 K, F = -0.7754560488688105, relative_change = 3.2077428176169086e-5 Iter 60: T = 570.6017392434969 K, F = -0.32431578709432346, relative_change = 1.3421871155399766e-5 Iter 65: T = 570.5783445002035 K, F = -0.1356346261642726, relative_change = 5.614360837196674e-6 Iter 70: T = 570.5685595234419 K, F = -0.0567243512421802, relative_change = 2.3481981535014564e-6 Iter 75: T = 570.5644671516192 K, F = -0.023722858972176936, relative_change = 9.820804406769276e-7 Iter 80: T = 570.5627556417705 K, F = -0.009921193050257043, relative_change = 4.1072405320647884e-7 Iter 85: T = 570.5620398624761 K, F = -0.0041491631861045875, relative_change = 1.7177080325864684e-7 Iter 90: T = 570.5617405140763 K, F = -0.0017352299053554066, relative_change = 7.183679354611369e-8 Iter 95: T = 570.5616153228342 K, F = -0.0007256939227530124, relative_change = 3.004303856418457e-8 Iter 100: T = 570.5615629663326 K, F = -0.0003034938740461568, relative_change = 1.2564363376147297e-8 Iter 105: T = 570.5615410702134 K, F = -0.00012692476441589218, relative_change = 5.254567848962287e-9 Iter 110: T = 570.5615319129938 K, F = -5.308145246524232e-5, relative_change = 2.1975232027881304e-9 Iter 115: T = 570.5615280833351 K, F = -2.219929751601235e-5, relative_change = 9.190304837246003e-10 Iter 120: T = 570.5615264817261 K, F = -9.2840103861902e-6, relative_change = 3.843494896177395e-10 Iter 125: T = 570.5615258119141 K, F = -3.882684142975101e-6, relative_change = 1.607395527324863e-10 Iter 130: T = 570.5615255317906 K, F = -1.6237843463162704e-6, relative_change = 6.722317874947565e-11 Iter 135: T = 570.5615254146396 K, F = -6.790853638860561e-7, relative_change = 2.8113509623893297e-11 Iter 140: T = 570.5615253656457 K, F = -2.840006766979819e-7, relative_change = 1.1757366872281317e-11 Iter 145: T = 570.5615253451559 K, F = -1.1877203048848983e-7, relative_change = 4.917052850344961e-12 Iter 150: T = 570.561525336587 K, F = -4.9672613133822097e-8, relative_change = 2.0564005095027457e-12 Iter 155: T = 570.5615253330034 K, F = -2.077436705993918e-8, relative_change = 8.60039694163887e-13 Iter 160: T = 570.5615253315045 K, F = -8.688056885031159e-9, relative_change = 3.596775663400633e-13 Converged in 163 iterations to T = 570.5615253310657 K Iter 1: T = 980.3147905953616 K, F = -4485.293688315188, relative_change = 0.01968520940463839 Iter 2: T = 962.6656860066947 K, F = -3788.557591945323, relative_change = 0.018003507401891074 Iter 3: T = 946.9305649802293 K, F = -3198.5602524294986, relative_change = 0.01634536397753763 Iter 5: T = 920.6752605545238 K, F = -2276.7778123640924, relative_change = 0.01318769805604643 Iter 10: T = 879.0547336054108 K, F = -966.3882356198357, relative_change = 0.006908295261467422 Iter 15: T = 859.3854717259021 K, F = -407.18370911788094, relative_change = 0.003233935375705063 Iter 20: T = 850.664277319359 K, F = -170.87260378618643, relative_change = 0.0014239073481373077 Iter 25: T = 846.9206753331381 K, F = -71.56757797512653, relative_change = 0.0006089805659004743 Iter 30: T = 845.3374058593515 K, F = -29.949418772368325, relative_change = 0.00025712075116633227 Iter 35: T = 844.672113850531 K, F = -12.528555029282531, relative_change = 0.00010796335969736946 Iter 40: T = 844.3933251763777 K, F = -5.2401793117767115, relative_change = 4.52276392424595e-5 Iter 45: T = 844.2766348985064 K, F = -2.191608552277871, relative_change = 1.8928077028368976e-5 Iter 50: T = 844.2278165479452 K, F = -0.9165748923053875, relative_change = 7.918283138012059e-6 Iter 55: T = 844.2073971410573 K, F = -0.38332571903752977, relative_change = 3.311929191537595e-6 Iter 60: T = 844.1988569782052 K, F = -0.1603119450464976, relative_change = 1.385159821356875e-6 Iter 65: T = 844.1952852886209 K, F = -0.0670444663939136, relative_change = 5.79302882508143e-7 Iter 70: T = 844.1937915493797 K, F = -0.02803881339015213, relative_change = 2.422735706060188e-7 Iter 75: T = 844.1931668469914 K, F = -0.011726169561090849, relative_change = 1.0132208304379264e-7 Iter 80: T = 844.1929055885025 K, F = -0.004904024662899076, relative_change = 4.237417203662878e-8 Iter 85: T = 844.1927963269969 K, F = -0.002050921769827019, relative_change = 1.7721396493174274e-8 Iter 90: T = 844.1927506325154 K, F = -0.0008577199917885192, relative_change = 7.411301686670926e-9 Iter 95: T = 844.1927315225349 K, F = -0.00035870874577970113, relative_change = 3.0994952252592504e-9 Iter 100: T = 844.1927235305125 K, F = -0.0001500162820582407, relative_change = 1.2962459833505576e-9 Iter 105: T = 844.1927201881531 K, F = -6.273859996608344e-5, relative_change = 5.421055543061812e-10 Iter 110: T = 844.1927187903385 K, F = -2.6238032043046644e-5, relative_change = 2.267150211261578e-10 Iter 115: T = 844.1927182057558 K, F = -1.0973057289698218e-5, relative_change = 9.481492054637927e-11 Iter 120: T = 844.1927179612763 K, F = -4.589064121818254e-6, relative_change = 3.9652736626181504e-11 Iter 125: T = 844.192717859032 K, F = -1.919201106481694e-6, relative_change = 1.6583245304867795e-11 Iter 130: T = 844.1927178162722 K, F = -8.026314359810272e-7, relative_change = 6.935299250573163e-12 Iter 135: T = 844.1927177983896 K, F = -3.356699218581838e-7, relative_change = 2.9004238475813207e-12 Iter 140: T = 844.1927177909109 K, F = -1.403819831491404e-7, relative_change = 1.2129989170901148e-12 Iter 145: T = 844.1927177877832 K, F = -5.870914598915533e-8, relative_change = 5.072882496162627e-13 Converged in 150 iterations to T = 844.1927177864752 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: 40%|█████████████▎ | ETA: 0:00:02 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015870921685725283 Iteration 10: d = 1.2937232418745438e-5 Iteration 20: d = 1.1272805980820677e-7 Iteration 30: d = 1.3100877602610327e-9 Iteration 40: d = 1.7137359923469886e-11 Iteration 50: d = 2.3378002671087204e-13 Iteration 60: d = 3.2368138977176104e-15 Converged after 61 iterations. d = 2.1049511836903396e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 8651.961778466171 Iteration 2: convergence error = 4811.403130988921 Iteration 3: convergence error = 1090.468955942762 Iteration 4: convergence error = 318.32132431671357 Iteration 5: convergence error = 94.28653271700705 Iteration 6: convergence error = 28.089431851313293 Iteration 7: convergence error = 8.42621961435134 Iteration 8: convergence error = 2.523760821008409 Iteration 9: convergence error = 0.7541775143047289 Iteration 10: convergence error = 0.22507391557974188 Iteration 11: convergence error = 0.06711953349690702 Iteration 12: convergence error = 0.02000718916247024 Iteration 13: convergence error = 0.005962341540907801 Iteration 14: convergence error = 0.0017765881909781456 Iteration 15: convergence error = 0.0005293241979416052 Iteration 16: convergence error = 0.00015770177014928777 Iteration 17: convergence error = 4.698290013038786e-5 Iteration 18: convergence error = 1.3997034784551943e-5 Iteration 19: convergence error = 4.169921339780558e-6 Iteration 20: convergence error = 1.2422817690094234e-6 Iteration 21: convergence error = 3.70085444956203e-7 Iteration 22: convergence error = 1.1011093192792032e-7 Iteration 23: convergence error = 3.188461050740443e-8 Iteration 24: convergence error = 9.186123861582018e-9 Iteration 25: convergence error = 2.644355845404789e-9 Iteration 26: convergence error = 7.528342393925413e-10 Iteration 27: convergence error = 2.1373125491663814e-10 Iteration 28: convergence error = 6.184563972055912e-11 Iteration 29: convergence error = 1.864464138634503e-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: 44%|██████████████▌ | ETA: 0:00:01 Bin 1 progress: 91%|█████████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001452887477172344 Iteration 10: d = 1.3946436299610228e-5 Iteration 20: d = 1.5189473143541038e-7 Iteration 30: d = 1.8967774945894614e-9 Iteration 40: d = 2.4410253457388757e-11 Iteration 50: d = 3.172214595604806e-13 Iteration 60: d = 4.0908650874101454e-15 Converged after 62 iterations. d = 1.7524226117162214e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 12292.814350962455 Iteration 2: convergence error = 8329.229880342642 Iteration 3: convergence error = 1950.0111051605966 Iteration 4: convergence error = 478.47927030084816 Iteration 5: convergence error = 121.63477699257805 Iteration 6: convergence error = 32.389196141698676 Iteration 7: convergence error = 8.800001756985921 Iteration 8: convergence error = 2.4045398791981825 Iteration 9: convergence error = 0.6578137141641491 Iteration 10: convergence error = 0.17998218625484697 Iteration 11: convergence error = 0.04924142969684908 Iteration 12: convergence error = 0.013471207854081513 Iteration 13: convergence error = 0.0036852540974905423 Iteration 14: convergence error = 0.001008139721761836 Iteration 15: convergence error = 0.0002757848697001464 Iteration 16: convergence error = 7.544292907368799e-5 Iteration 17: convergence error = 2.0637923626054544e-5 Iteration 18: convergence error = 5.645637884299504e-6 Iteration 19: convergence error = 1.5444006749021355e-6 Iteration 20: convergence error = 4.224814347253414e-7 Iteration 21: convergence error = 1.1644715414149687e-7 Iteration 22: convergence error = 3.116042535111774e-8 Iteration 23: convergence error = 8.307779353344813e-9 Iteration 24: convergence error = 2.2118911147117615e-9 Iteration 25: convergence error = 5.89807314099744e-10 Iteration 26: convergence error = 1.5620571502950042e-10 Iteration 27: convergence error = 4.274625098332763e-11 Iteration 28: convergence error = 1.0913936421275139e-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: 47%|███████████████▌ | ETA: 0:00:01 Bin 1 progress: 91%|█████████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001452887477172344 Iteration 10: d = 1.3946436299610228e-5 Iteration 20: d = 1.5189473143541038e-7 Iteration 30: d = 1.8967774945894614e-9 Iteration 40: d = 2.4410253457388757e-11 Iteration 50: d = 3.172214595604806e-13 Iteration 60: d = 4.0908650874101454e-15 Converged after 62 iterations. d = 1.7524226117162214e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10995.804874453537 Iteration 2: convergence error = 5737.940458910545 Iteration 3: convergence error = 2013.8870587254355 Iteration 4: convergence error = 893.8747650520954 Iteration 5: convergence error = 409.5756261524107 Iteration 6: convergence error = 192.95595334437894 Iteration 7: convergence error = 90.98798799133829 Iteration 8: convergence error = 42.92678051862049 Iteration 9: convergence error = 20.25252731328419 Iteration 10: convergence error = 9.552967822547089 Iteration 11: convergence error = 4.504900379181436 Iteration 12: convergence error = 2.1238964612020936 Iteration 13: convergence error = 1.0011642918589132 Iteration 14: convergence error = 0.4718701769506879 Iteration 15: convergence error = 0.22238309656995625 Iteration 16: convergence error = 0.10470188138197045 Iteration 17: convergence error = 0.048843948900412215 Iteration 18: convergence error = 0.02227252602506269 Iteration 19: convergence error = 0.010117795905898674 Iteration 20: convergence error = 0.004586277777434589 Iteration 21: convergence error = 0.0020763039387929894 Iteration 22: convergence error = 0.0009393009413543041 Iteration 23: convergence error = 0.0004247489800945914 Iteration 24: convergence error = 0.0001920212907862151 Iteration 25: convergence error = 8.679608572492725e-5 Iteration 26: convergence error = 3.922933592548361e-5 Iteration 27: convergence error = 1.7729527371557197e-5 Iteration 28: convergence error = 8.012518719624495e-6 Iteration 29: convergence error = 3.621020368882455e-6 Iteration 30: convergence error = 1.636388788028853e-6 Iteration 31: convergence error = 7.395051397907082e-7 Iteration 32: convergence error = 3.3418882594560273e-7 Iteration 33: convergence error = 1.5102432371350005e-7 Iteration 34: convergence error = 6.824666343163699e-8 Iteration 35: convergence error = 3.0838691600365564e-8 Iteration 36: convergence error = 1.3940734788775444e-8 Iteration 37: convergence error = 6.296431820373982e-9 Iteration 38: convergence error = 2.84353518509306e-9 Iteration 39: convergence error = 1.28738975035958e-9 Iteration 40: convergence error = 5.82986103836447e-10 Iteration 41: convergence error = 2.6193447411060333e-10 Iteration 42: convergence error = 1.2505552149377763e-10 Iteration 43: convergence error = 5.5933924159035087e-11 Iteration 44: convergence error = 2.5011104298755527e-11 Iteration 45: convergence error = 1.1368683772161603e-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: 41%|█████████████▍ | ETA: 0:00:02 Bin 1 progress: 84%|███████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001452887477172344 Iteration 10: d = 1.3946436299610228e-5 Iteration 20: d = 1.5189473143541038e-7 Iteration 30: d = 1.8967774945894614e-9 Iteration 40: d = 2.4410253457388757e-11 Iteration 50: d = 3.172214595604806e-13 Iteration 60: d = 4.0908650874101454e-15 Converged after 62 iterations. d = 1.7524226117162214e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 10826.998127565394 Iteration 2: convergence error = 7357.466540678979 Iteration 3: convergence error = 1730.4446131432283 Iteration 4: convergence error = 504.4015137993547 Iteration 5: convergence error = 156.46554376227368 Iteration 6: convergence error = 48.529933293799786 Iteration 7: convergence error = 15.026383112546227 Iteration 8: convergence error = 4.644808351336906 Iteration 9: convergence error = 1.4340719455849467 Iteration 10: convergence error = 0.44244515075752133 Iteration 11: convergence error = 0.1364468970350572 Iteration 12: convergence error = 0.04206900964891247 Iteration 13: convergence error = 0.012968832692877186 Iteration 14: convergence error = 0.00399765603015112 Iteration 15: convergence error = 0.0012322266843511898 Iteration 16: convergence error = 0.0003798085822381836 Iteration 17: convergence error = 0.00011706652185239363 Iteration 18: convergence error = 3.608252700360026e-5 Iteration 19: convergence error = 1.1121381248813123e-5 Iteration 20: convergence error = 3.427844148973236e-6 Iteration 21: convergence error = 1.0565245247562416e-6 Iteration 22: convergence error = 3.2547040973440744e-7 Iteration 23: convergence error = 9.904533726512454e-8 Iteration 24: convergence error = 2.9423517844406888e-8 Iteration 25: convergence error = 8.708866516826674e-9 Iteration 26: convergence error = 2.571141521912068e-9 Iteration 27: convergence error = 7.639755494892597e-10 Iteration 28: convergence error = 2.3146640160121024e-10 Iteration 29: convergence error = 6.502887117676437e-11 Iteration 30: convergence error = 2.1827872842550278e-11 Converged after 30 iterations Writing spectral results to mesh... Spectral bin 1 results written: 16 volumes, 16 surfaces Spectral bin 2 results written: 16 volumes, 16 surfaces Spectral bin 3 results written: 16 volumes, 16 surfaces Spectral bin 4 results written: 16 volumes, 16 surfaces Spectral bin 5 results written: 16 volumes, 16 surfaces Spectral bin 6 results written: 16 volumes, 16 surfaces Spectral bin 7 results written: 16 volumes, 16 surfaces Spectral bin 8 results written: 16 volumes, 16 surfaces Spectral bin 9 results written: 16 volumes, 16 surfaces Spectral bin 10 results written: 16 volumes, 16 surfaces Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 44%|██████████████▌ | ETA: 0:00:01 Bin 1 progress: 91%|█████████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001452887477172344 Iteration 10: d = 1.3946436299610228e-5 Iteration 20: d = 1.5189473143541038e-7 Iteration 30: d = 1.8967774945894614e-9 Iteration 40: d = 2.4410253457388757e-11 Iteration 50: d = 3.172214595604806e-13 Iteration 60: d = 4.0908650874101454e-15 Converged after 62 iterations. d = 1.7524226117162214e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 7541.792033015315 Iteration 2: convergence error = 5526.116301903311 Iteration 3: convergence error = 935.0706983828479 Iteration 4: convergence error = 169.96136805340484 Iteration 5: convergence error = 30.781615567970675 Iteration 6: convergence error = 5.5888240394215245 Iteration 7: convergence error = 1.0188913466395206 Iteration 8: convergence error = 0.18607699420954305 Iteration 9: convergence error = 0.03394200526190616 Iteration 10: convergence error = 0.006187624165704619 Iteration 11: convergence error = 0.001127663776060217 Iteration 12: convergence error = 0.00020547939038806362 Iteration 13: convergence error = 3.7438818708324106e-5 Iteration 14: convergence error = 6.821143870183732e-6 Iteration 15: convergence error = 1.2427440196915995e-6 Iteration 16: convergence error = 2.2641643226961605e-7 Iteration 17: convergence error = 4.125240593566559e-8 Iteration 18: convergence error = 7.499693310819566e-9 Iteration 19: convergence error = 1.3787939678877592e-9 Iteration 20: convergence error = 2.5147528504021466e-10 Iteration 21: convergence error = 4.3428372009657323e-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: 44%|██████████████▌ | ETA: 0:00:01 Bin 1 progress: 88%|████████████████████████████▉ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 32×32 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.001452887477172344 Iteration 10: d = 1.3946436299610228e-5 Iteration 20: d = 1.5189473143541038e-7 Iteration 30: d = 1.8967774945894614e-9 Iteration 40: d = 2.4410253457388757e-11 Iteration 50: d = 3.172214595604806e-13 Iteration 60: d = 4.0908650874101454e-15 Converged after 62 iterations. d = 1.7524226117162214e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 3298.4961948443906 Iteration 2: convergence error = 2717.122909739919 Iteration 3: convergence error = 204.32821005669848 Iteration 4: convergence error = 19.301994969155054 Iteration 5: convergence error = 1.591988510764581 Iteration 6: convergence error = 0.12936025354430086 Iteration 7: convergence error = 0.01052435563231979 Iteration 8: convergence error = 0.0008582102746768106 Iteration 9: convergence error = 7.015001809952756e-5 Iteration 10: convergence error = 5.736827123998942e-6 Iteration 11: convergence error = 4.6926388997716503e-7 Iteration 12: convergence error = 3.838969745621871e-8 Iteration 13: convergence error = 3.141778895140183e-9 Iteration 14: convergence error = 2.561164784103039e-10 Iteration 15: convergence error = 2.2282620193436742e-11 Iteration 16: convergence error = 4.092726157978177e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 1885.2319049346345 Iteration 2: convergence error = 858.4060420534043 Iteration 3: convergence error = 199.12106737711986 Iteration 4: convergence error = 59.265629268140856 Iteration 5: convergence error = 17.98548291103714 Iteration 6: convergence error = 5.463033078096942 Iteration 7: convergence error = 1.660989611064906 Iteration 8: convergence error = 0.5052487627306164 Iteration 9: convergence error = 0.15371874094194027 Iteration 10: convergence error = 0.046771316975991795 Iteration 11: convergence error = 0.014231269026709015 Iteration 12: convergence error = 0.00433023651169151 Iteration 13: convergence error = 0.0013175920927324114 Iteration 14: convergence error = 0.0004009136252989265 Iteration 15: convergence error = 0.00012198904050819692 Iteration 16: convergence error = 3.711853867116588e-5 Iteration 17: convergence error = 1.1294342129986035e-5 Iteration 18: convergence error = 3.4366162253718358e-6 Iteration 19: convergence error = 1.0456861900820513e-6 Iteration 20: convergence error = 3.181812644470483e-7 Iteration 21: convergence error = 9.681605206424138e-8 Iteration 22: convergence error = 2.9460807127179578e-8 Iteration 23: convergence error = 8.963411346485373e-9 Iteration 24: convergence error = 2.730530468397774e-9 Iteration 25: convergence error = 8.295728548546322e-10 Iteration 26: convergence error = 2.538627086323686e-10 Iteration 27: convergence error = 7.707967597525567e-11 Iteration 28: convergence error = 2.4556356947869062e-11 Iteration 29: convergence error = 8.640199666842818e-12 Converged after 29 iterations Energy conservation errors by band: [4.6852026882886333e-26, 1.7771458472818954e-26, 2.50416005753358e-26, 4.13994203059987e-26, 6.522933053091502e-26, 4.828087799349512e-20, -1.176836406102666e-14, 1.1084466677857563e-12, -1.4779288903810084e-12, -7.389644451905042e-13, -1.1368683772161603e-13, 7.993605777301127e-15, 2.220446049250313e-16, 1.5612511283791264e-16, 6.451002926288751e-18, 2.0328790734103208e-20, 1.3923104070492562e-20, 4.793511649744795e-22, 1.0481929324695398e-23, 1.318298825299594e-16] Writing spectral results to mesh... Computing final scalar temperatures and heat fluxes... === 3D Spectral Solution Complete === Uniform extinction detected across 20 spectral bins (β_g=1.0) - using fast uniform ray tracing Building optimized cache structures... Pre-computing coarse mesh geometry... Pre-computing fine mesh geometry... Optimization cache built successfully! Building spatial acceleration structures... Building coarse mesh acceleration... Building fine mesh acceleration... Spatial acceleration structures built! element type of rtm.fine_mesh[1][1].T_in_g is Float64 Computing single F matrix for uniform spectral extinction (20 bins) Using 1 threads for spectral bin 1 Bin 1 progress: 38%|████████████▌ | ETA: 0:00:02 Bin 1 progress: 82%|███████████████████████████▏ | ETA: 0:00:00 Bin 1 progress: 100%|█████████████████████████████████| Time: 0:00:02 Smoothing single F matrix for uniform spectral extinction Matrix size: 45×45 Strategy: Serial Tolerance: 2.220446049250313e-15 Iteration 1: d = 0.0015870921685725283 Iteration 10: d = 1.2937232418745438e-5 Iteration 20: d = 1.1272805980820677e-7 Iteration 30: d = 1.3100877602610327e-9 Iteration 40: d = 1.7137359923469886e-11 Iteration 50: d = 2.3378002671087204e-13 Iteration 60: d = 3.2368138977176104e-15 Converged after 61 iterations. d = 2.1049511836903396e-15 ==== Building and Factorizing Block matrix ==== Starting spectral steady-state iteration... Iteration 1: convergence error = 6030.416552686841 Iteration 2: convergence error = 3600.88600642104 Iteration 3: convergence error = 589.0356479703131 Iteration 4: convergence error = 104.18074433594234 Iteration 5: convergence error = 18.508047091775097 Iteration 6: convergence error = 3.2595429918646914 Iteration 7: convergence error = 0.5719872959905388 Iteration 8: convergence error = 0.10022089399399192 Iteration 9: convergence error = 0.017549178764056705 Iteration 10: convergence error = 0.0030721484849891567 Iteration 11: convergence error = 0.0005377504169246095 Iteration 12: convergence error = 9.412389522367448e-5 Iteration 13: convergence error = 1.6474435597046977e-5 Iteration 14: convergence error = 2.883482238758006e-6 Iteration 15: convergence error = 5.046945261710789e-7 Iteration 16: convergence error = 8.833762876747642e-8 Iteration 17: convergence error = 1.5465047908946872e-8 Iteration 18: convergence error = 2.691649569896981e-9 Iteration 19: convergence error = 4.758931027026847e-10 Iteration 20: convergence error = 8.139977580867708e-11 Iteration 21: convergence error = 1.3415046851150692e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 1885.4924275130247 Iteration 2: convergence error = 871.3046026617826 Iteration 3: convergence error = 207.75299581225215 Iteration 4: convergence error = 62.495505504907555 Iteration 5: convergence error = 18.979315309184585 Iteration 6: convergence error = 5.766215594047026 Iteration 7: convergence error = 1.7533061530645 Iteration 8: convergence error = 0.5333443699004192 Iteration 9: convergence error = 0.16226812526360845 Iteration 10: convergence error = 0.04937275062957269 Iteration 11: convergence error = 0.015022831427586425 Iteration 12: convergence error = 0.004571091655407145 Iteration 13: convergence error = 0.0013908789693459767 Iteration 14: convergence error = 0.00042321318755966786 Iteration 15: convergence error = 0.00012877429912805383 Iteration 16: convergence error = 3.918314223483321e-5 Iteration 17: convergence error = 1.192255740534165e-5 Iteration 18: convergence error = 3.6277690469432855e-6 Iteration 19: convergence error = 1.1038503089366714e-6 Iteration 20: convergence error = 3.358788944751723e-7 Iteration 21: convergence error = 1.0220196600130294e-7 Iteration 22: convergence error = 3.1098920771910343e-8 Iteration 23: convergence error = 9.464429240324534e-9 Iteration 24: convergence error = 2.8813929020543583e-9 Iteration 25: convergence error = 8.774350135354325e-10 Iteration 26: convergence error = 2.6773250283440575e-10 Iteration 27: convergence error = 8.174083632184193e-11 Iteration 28: convergence error = 2.546585164964199e-11 Iteration 29: convergence error = 8.526512829121202e-12 Converged after 29 iterations Energy conservation errors by band: [3.473512337869159e-26, 2.928251680180396e-26, 6.54312789226516e-26, 3.0090310368750274e-26, 3.4028304007613565e-26, 3.3881317890172014e-20, -1.4654943925052066e-14, 3.552713678800501e-13, -3.268496584496461e-13, 2.0463630789890885e-12, 7.815970093361102e-14, 2.220446049250313e-14, 1.6653345369377348e-15, 1.8735013540549517e-16, 3.7947076036992655e-18, -1.3976043629695956e-19, 2.2658131339052534e-20, 1.5923226791645783e-22, -7.302453845194697e-25, 1.6176561218948528e-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 = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 4381.115813729989 Iteration 2: convergence error = 2115.1156110176375 Iteration 3: convergence error = 714.8959934551624 Iteration 4: convergence error = 296.0190747132401 Iteration 5: convergence error = 115.88799395378715 Iteration 6: convergence error = 44.115249236190266 Iteration 7: convergence error = 16.5995810251261 Iteration 8: convergence error = 6.21598340493324 Iteration 9: convergence error = 2.323124567003333 Iteration 10: convergence error = 0.8675636398231745 Iteration 11: convergence error = 0.32389343048794217 Iteration 12: convergence error = 0.12090784413680922 Iteration 13: convergence error = 0.04513241840777482 Iteration 14: convergence error = 0.016846741615609062 Iteration 15: convergence error = 0.0062884074734483875 Iteration 16: convergence error = 0.002347277756598487 Iteration 17: convergence error = 0.0008761691049130604 Iteration 18: convergence error = 0.0003270478227932472 Iteration 19: convergence error = 0.00012207719078105583 Iteration 20: convergence error = 4.556777048492222e-5 Iteration 21: convergence error = 1.7009089560815482e-5 Iteration 22: convergence error = 6.3489862895949045e-6 Iteration 23: convergence error = 2.369887170061702e-6 Iteration 24: convergence error = 8.846072887536138e-7 Iteration 25: convergence error = 3.3019910006260034e-7 Iteration 26: convergence error = 1.2325517673161812e-7 Iteration 27: convergence error = 4.600769898388535e-8 Iteration 28: convergence error = 1.7175352695630863e-8 Iteration 29: convergence error = 6.410573405446485e-9 Iteration 30: convergence error = 2.39469954976812e-9 Iteration 31: convergence error = 8.956249075708911e-10 Iteration 32: convergence error = 3.3514879760332406e-10 Iteration 33: convergence error = 1.2505552149377763e-10 Iteration 34: convergence error = 4.8203219193965197e-11 Iteration 35: convergence error = 1.887201506178826e-11 Converged after 35 iterations Energy conservation errors by band: [-2.3022116657970009e-26, -1.308625578453032e-25, -1.0743654440386004e-25, -8.320273739547056e-26, -1.0057029908481635e-25, -6.945670167485263e-20, -9.769962616701378e-15, -1.4068746168049984e-12, -7.837286375433905e-12, -1.0373923942097463e-12, -8.881784197001252e-15, -1.5543122344752192e-15, 9.71445146547012e-16, 2.927345865710862e-18, 1.4365678785432934e-18, 4.1504614415460717e-20, 5.717472393966527e-21, 1.2904017555827232e-22, -3.9291079096268815e-24, 5.551115123125783e-17] 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 = 1.4646130478247967e-15 Converged after 4 iterations. d = 1.8817279035324215e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 54×54 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.4646130478247967e-15 Converged after 4 iterations. d = 1.8817279035324215e-16 Computing view factors (geometry only, wavelength-independent)... Matrix size: 96×96 Strategy: Serial Tolerance: 2.220446049250313e-16 Iteration 1: d = 1.3476831790190225e-15 Converged after 4 iterations. d = 1.7665135137169624e-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 = 1885.362166223825 Iteration 2: convergence error = 864.8522700482426 Iteration 3: convergence error = 203.43244494690714 Iteration 4: convergence error = 60.87736397590493 Iteration 5: convergence error = 18.481426659698172 Iteration 6: convergence error = 5.614330618626127 Iteration 7: convergence error = 1.7070587705939033 Iteration 8: convergence error = 0.5192694771479864 Iteration 9: convergence error = 0.15798519284180657 Iteration 10: convergence error = 0.04806952669321163 Iteration 11: convergence error = 0.01462628739034244 Iteration 12: convergence error = 0.00445043197044015 Iteration 13: convergence error = 0.0013541649042281279 Iteration 14: convergence error = 0.00041204191563792847 Iteration 15: convergence error = 0.00012537513089228014 Iteration 16: convergence error = 3.814885076280916e-5 Iteration 17: convergence error = 1.1607843816818786e-5 Iteration 18: convergence error = 3.5320085771672893e-6 Iteration 19: convergence error = 1.074713281923323e-6 Iteration 20: convergence error = 3.270117758802371e-7 Iteration 21: convergence error = 9.950326784746721e-8 Iteration 22: convergence error = 3.0277988116722554e-8 Iteration 23: convergence error = 9.213749763148371e-9 Iteration 24: convergence error = 2.8026079235132784e-9 Iteration 25: convergence error = 8.545839591533877e-10 Iteration 26: convergence error = 2.629576556500979e-10 Iteration 27: convergence error = 8.01492205937393e-11 Iteration 28: convergence error = 2.489741746103391e-11 Iteration 29: convergence error = 8.86757334228605e-12 Converged after 29 iterations Energy conservation errors by band: [4.281305904815475e-26, 4.52364397489937e-26, 4.119747191426212e-26, 5.634360129450555e-26, 9.895471195092372e-26, -6.606856988583543e-20, 2.4424906541753444e-15, -8.526512829121202e-14, 3.126388037344441e-12, 5.684341886080801e-13, 2.984279490192421e-13, 3.552713678800501e-14, 8.326672684688674e-16, 1.3010426069826053e-16, 2.0599841277224584e-18, 3.9810548520952116e-19, 2.3002238473874594e-20, 5.438712527536157e-22, -1.2782525403358506e-23, 3.1963148993622903e-16] 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 8m54.6s Testing RayTraceHeatTransfer tests passed Testing completed after 562.34s PkgEval succeeded after 699.27s