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Add a default for NLLS
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avik-pal committed Nov 4, 2023
1 parent b8d43a3 commit baf44dd
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2 changes: 1 addition & 1 deletion Project.toml
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@@ -1,7 +1,7 @@
name = "NonlinearSolve"
uuid = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
authors = ["SciML"]
version = "2.6.1"
version = "2.7.0"

[deps]
ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
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21 changes: 15 additions & 6 deletions src/default.jl
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Expand Up @@ -268,12 +268,21 @@ end

## Defaults

function SciMLBase.__init(prob::NonlinearProblem{uType, iip}, alg::Nothing, args...;
kwargs...) where {uType, iip}
SciMLBase.__init(prob, FastShortcutNonlinearPolyalg(), args...; kwargs...)
function SciMLBase.__init(prob::NonlinearProblem, ::Nothing, args...; kwargs...)
return SciMLBase.__init(prob, FastShortcutNonlinearPolyalg(), args...; kwargs...)
end

function SciMLBase.__solve(prob::NonlinearProblem{uType, iip}, alg::Nothing, args...;
kwargs...) where {uType, iip}
SciMLBase.__solve(prob, FastShortcutNonlinearPolyalg(), args...; kwargs...)
function SciMLBase.__solve(prob::NonlinearProblem, ::Nothing, args...; kwargs...)
return SciMLBase.__solve(prob, FastShortcutNonlinearPolyalg(), args...; kwargs...)
end

# FIXME: We default to using LM currently. But once we have line searches for GN implemented
# we should default to a polyalgorithm.
function SciMLBase.__init(prob::NonlinearLeastSquaresProblem, ::Nothing, args...; kwargs...)
return SciMLBase.__init(prob, LevenbergMarquardt(), args...; kwargs...)

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end

function SciMLBase.__solve(prob::NonlinearLeastSquaresProblem, ::Nothing, args...;
kwargs...)
return SciMLBase.__solve(prob, LevenbergMarquardt(), args...; kwargs...)
end
1 change: 1 addition & 0 deletions test/nonlinear_least_squares.jl
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Expand Up @@ -34,6 +34,7 @@ solvers = [
LevenbergMarquardt(; linsolve = LUFactorization()),
LeastSquaresOptimJL(:lm),
LeastSquaresOptimJL(:dogleg),
nothing,
]

for prob in nlls_problems, solver in solvers
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