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MaxIters
Describe the bug 🐞
The following NonlinearProblem (which is actually just a linear system) retcodes with MaxIters despite having an almost-zero residual:
NonlinearProblem
julia> rhs = (out, var"##arg#9935777206874629696", var"##arg#5772744033551999711")->begin #= /Users/aayush/.julia/packages/SymbolicUtils/jf8aQ/src/code.jl:385 =# #= /Users/aayush/.julia/packages/SymbolicUtils/jf8aQ/src/code.jl:386 =# #= /Users/aayush/.julia/packages/SymbolicUtils/jf8aQ/src/code.jl:387 =# begin var"b[1]" = var"##arg#9935777206874629696"[1] var"b[3]" = var"##arg#9935777206874629696"[2] var"b[4]" = var"##arg#9935777206874629696"[3] var"b[5]" = var"##arg#9935777206874629696"[4] var"b[6]" = var"##arg#9935777206874629696"[5] var"a[3, 2]" = var"##arg#5772744033551999711"[1] var"a[4, 2]" = var"##arg#5772744033551999711"[2] var"a[5, 2]" = var"##arg#5772744033551999711"[3] var"a[6, 2]" = var"##arg#5772744033551999711"[4] var"a[4, 3]" = var"##arg#5772744033551999711"[5] var"a[5, 3]" = var"##arg#5772744033551999711"[6] var"a[6, 3]" = var"##arg#5772744033551999711"[7] var"a[5, 4]" = var"##arg#5772744033551999711"[8] var"a[6, 4]" = var"##arg#5772744033551999711"[9] var"a[6, 5]" = var"##arg#5772744033551999711"[10] DEF = var"##arg#5772744033551999711"[11] var"b[2]" = var"##arg#5772744033551999711"[12] DEF = var"##arg#5772744033551999711"[13] DEF = var"##arg#5772744033551999711"[14] DEF = var"##arg#5772744033551999711"[15] DEF = var"##arg#5772744033551999711"[16] var"bh[1]" = var"##arg#5772744033551999711"[17] var"bh[2]" = var"##arg#5772744033551999711"[18] var"bh[3]" = var"##arg#5772744033551999711"[19] var"bh[4]" = var"##arg#5772744033551999711"[20] var"bh[5]" = var"##arg#5772744033551999711"[21] var"bh[6]" = var"##arg#5772744033551999711"[22] var"c[2]" = var"##arg#5772744033551999711"[23] var"c[3]" = var"##arg#5772744033551999711"[24] var"c[4]" = var"##arg#5772744033551999711"[25] var"c[5]" = var"##arg#5772744033551999711"[26] begin #= /Users/aayush/.julia/packages/SymbolicUtils/jf8aQ/src/code.jl:430 =# out[1] = (+)((+)((+)((+)((+)((+)(-1, var"b[1]"), var"b[2]"), var"b[3]"), var"b[4]"), var"b[5]"), var"b[6]") out[2] = (+)((+)((+)((+)((+)(-1//2, var"b[6]"), (*)(var"b[2]", var"c[2]")), (*)(var"b[3]", var"c[3]")), (*)(var"b[4]", var"c[4]")), (*)(var"b[5]", var"c[5]")) out[3] = (+)((+)((+)((+)((+)(-1//3, var"b[6]"), (*)(var"b[2]", (^)(var"c[2]", 2))), (*)(var"b[3]", (^)(var"c[3]", 2))), (*)(var"b[4]", (^)(var"c[4]", 2))), (*)(var"b[5]", (^)(var"c[5]", 2))) out[4] = (+)((+)((+)((+)((+)(-1//4, var"b[6]"), (*)(var"b[2]", (^)(var"c[2]", 3))), (*)(var"b[3]", (^)(var"c[3]", 3))), (*)(var"b[4]", (^)(var"c[4]", 3))), (*)(var"b[5]", (^)(var"c[5]", 3))) out[5] = (+)((+)((+)((+)((+)(-1//5, var"b[6]"), (*)(var"b[2]", (^)(var"c[2]", 4))), (*)(var"b[3]", (^)(var"c[3]", 4))), (*)(var"b[4]", (^)(var"c[4]", 4))), (*)(var"b[5]", (^)(var"c[5]", 4))) #= /Users/aayush/.julia/packages/SymbolicUtils/jf8aQ/src/code.jl:432 =# nothing end end end julia> buf = [-3.9832922616275948, -4.897257424419193, 0.09342981865962026, 0.012311116055817766, -0.8184897230589248, 0.03567038175398558, 0.007904372737270881, -0.023021565778278998, -0.004547784942303123, -0.08604742939071738, 0.3222220453337315, 4.0, 14.510754334138149, -0.06388830199314302, -14.877423429110568, -2.8916646483591006, 0.7838826954260111, 3.558969354280331, 0.5437040690837686, -0.20242602909940763, -0.26057184466461175, -3.4485994161224918, 1.0, 2.0, 3.0, 2.000017523009925] julia> idxs = [11, 13, 14, 15, 16] julia> nlp2 = NonlinearProblem(rhs, buf[idxs], buf) julia> sol = solve(nlp2) retcode: MaxIters u: 5-element Vector{Float64}: 0.3222226846094242 -18071.685098970098 -0.06389073858644431 18071.31843923952 -2.8916722154444034 julia> sol.resid 5-element Vector{Float64}: -1.7355006320940447e-12 0.0 0.0 0.0 0.0
Expected behavior
It returns successfully
Environment (please complete the following information):
using Pkg; Pkg.status()
[47edcb42] ADTypes v1.9.0 ⌃ [7da242da] Enzyme v0.13.11 [6a86dc24] FiniteDiff v2.26.0 [f6369f11] ForwardDiff v0.10.36 [14197337] GenericLinearAlgebra v0.3.14 [86223c79] Graphs v1.12.0 ⌃ [0b43b601] Groebner v0.7.5 [f213a82b] HomotopyContinuation v2.11.1 [7ed4a6bd] LinearSolve v2.36.1 ⌃ [961ee093] ModelingToolkit v9.46.1 [bdf0d083] MultiFloats v2.3.0 ⌅ [2edaba10] Nemo v0.45.7 [8913a72c] NonlinearSolve v3.15.1 [d236fae5] PreallocationTools v0.4.24 [47965b36] RootedTrees v2.23.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.13 [d1185830] SymbolicUtils v3.7.2 ⌃ [0c5d862f] Symbolics v6.15.3
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
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versioninfo()
Julia Version 1.11.1 Commit 8f5b7ca12ad (2024-10-16 10:53 UTC) Build Info: Official https://julialang.org/ release Platform Info: OS: macOS (arm64-apple-darwin22.4.0) CPU: 8 × Apple M2 WORD_SIZE: 64 LLVM: libLLVM-16.0.6 (ORCJIT, apple-m2) Threads: 16 default, 2 interactive, 4 GC (on 4 virtual cores) Environment: JULIA_PKG_USE_CLI_GIT = true JULIA_PKG_SERVER = https://internal.juliahub.com
The text was updated successfully, but these errors were encountered:
with inf-norm the residual norm is 1e-12. The default convergence is around 1e-14 IIRC
Sorry, something went wrong.
Docs:
abstol::Number: The absolute tolerance. Defaults to real(oneunit(T)) * (eps(real(one(T))))^(4 // 5). reltol::Number: The relative tolerance. Defaults to real(oneunit(T)) * (eps(real(one(T))))^(4 // 5).
abstol::Number
real(oneunit(T)) * (eps(real(one(T))))^(4 // 5)
reltol::Number
julia> T = Float64 Float64 julia> real(oneunit(T)) * (eps(real(one(T))))^(4/5) 3.000213634488528e-13
I see, thanks!
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Describe the bug 🐞
The following
NonlinearProblem
(which is actually just a linear system) retcodes withMaxIters
despite having an almost-zero residual:Expected behavior
It returns successfully
Environment (please complete the following information):
using Pkg; Pkg.status()
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
versioninfo()
The text was updated successfully, but these errors were encountered: