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Add SciML.build_solution #28

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merged 9 commits into from
Feb 3, 2021
Merged

Add SciML.build_solution #28

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949d46e
Remove local isinplace after SciMLBase import
utkarsh530 Jan 31, 2021
d5ed597
Add build_solution for Newton Raphson
utkarsh530 Jan 31, 2021
df1fd74
pass resid from solve!
utkarsh530 Feb 1, 2021
99ebebc
Add resid param in struct and update build_solution in solve.jl
utkarsh530 Feb 2, 2021
17898cf
add prob to integrator struct
utkarsh530 Feb 3, 2021
254ce8b
return build_solution in scalar.jl
utkarsh530 Feb 3, 2021
4119a8e
handle build_solution in solve.jl
utkarsh530 Feb 3, 2021
973d041
Fix local var warnings
utkarsh530 Feb 3, 2021
f081339
Remove local algo solution types
utkarsh530 Feb 3, 2021
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10 changes: 9 additions & 1 deletion src/solve.jl
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Expand Up @@ -3,7 +3,15 @@ function SciMLBase.solve(prob::NonlinearProblem,
kwargs...)
solver = init(prob, alg, args...; kwargs...)
sol = solve!(solver)
return sol
if typeof(sol) <: NewtonSolution
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Why is this branching needed? It makes the solution type unstable and break non-Newton solvers. We can just assume that sol.u exists.

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There are two types of solver, Newton solver and Bracketing methods, which outputs sol.left and sol.right. That's why I wanted to ask how to pass bracketing methods to build_solution?

resid = zero(prob.u0)
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if isinplace(prob)
prob.f(resid,sol.u,prob.p)
else
resid = prob.f(sol.u,prob.p)
end
return SciMLBase.build_solution(prob, alg, sol.u, resid;retcode=:Success)
end
end

function SciMLBase.init(prob::NonlinearProblem{uType, iip}, alg::AbstractBracketingAlgorithm, args...;
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15 changes: 0 additions & 15 deletions src/utils.jl
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Expand Up @@ -101,21 +101,6 @@ function num_types_in_tuple(sig::UnionAll)
length(Base.unwrap_unionall(sig).parameters)
end

function numargs(f)
typ = Tuple{Any, Val{:analytic}, Vararg}
typ2 = Tuple{Any, Type{Val{:analytic}}, Vararg} # This one is required for overloaded types
typ3 = Tuple{Any, Val{:jac}, Vararg}
typ4 = Tuple{Any, Type{Val{:jac}}, Vararg} # This one is required for overloaded types
typ5 = Tuple{Any, Val{:tgrad}, Vararg}
typ6 = Tuple{Any, Type{Val{:tgrad}}, Vararg} # This one is required for overloaded types
numparam = maximum([(m.sig<:typ || m.sig<:typ2 || m.sig<:typ3 || m.sig<:typ4 || m.sig<:typ5 || m.sig<:typ6) ? 0 : num_types_in_tuple(m.sig) for m in methods(f)])
return (numparam-1) #-1 in v0.5 since it adds f as the first parameter
end

function isinplace(f,inplace_param_number)
numargs(f)>=inplace_param_number
end

### Default Linsolve

# Try to be as smart as possible
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