Merge pull request #25 from JuliaComputing/scimlbase

Extend SciMLBase

Author: ChrisRackauckas

Project.toml

@@ -8,6 +8,7 @@ FiniteDiff = "6a86dc24-6348-571c-b903-95158fe2bd41"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
+SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 UnPack = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"

src/NonlinearSolve.jl

@@ -8,6 +8,8 @@ using Setfield
 using StaticArrays
 using RecursiveArrayTools
 
+@reexport using SciMLBase
+
 abstract type AbstractNonlinearProblem{uType,isinplace} end
 abstract type AbstractNonlinearSolveAlgorithm end
 abstract type AbstractBracketingAlgorithm <: AbstractNonlinearSolveAlgorithm end
@@ -27,10 +29,4 @@ include("scalar.jl")
 # DiffEq styled algorithms
 export Bisection, Falsi, NewtonRaphson
 
-export NonlinearProblem
-
-export solve, init, solve!
-
-export reinit!
-
 end # module

src/raphson.jl

@@ -1,4 +1,4 @@
-struct NewtonRaphson{CS, AD, DT, L} <: AbstractNewtonAlgorithm{CS,AD} 
+struct NewtonRaphson{CS, AD, DT, L} <: AbstractNewtonAlgorithm{CS,AD}
     diff_type::DT
     linsolve::L
 end

src/scalar.jl

@@ -1,4 +1,4 @@
-function solve(prob::NonlinearProblem{<:Number}, alg::NewtonRaphson, args...; xatol = nothing, xrtol = nothing, maxiters = 1000, kwargs...)
+function SciMLBase.solve(prob::NonlinearProblem{<:Number}, alg::NewtonRaphson, args...; xatol = nothing, xrtol = nothing, maxiters = 1000, kwargs...)
   f = Base.Fix2(prob.f, prob.p)
   x = float(prob.u0)
   T = typeof(x)
@@ -48,28 +48,28 @@ function scalar_nlsolve_ad(prob, alg, args...; kwargs...)
   return sol, partials
 end
 
-function solve(prob::NonlinearProblem{<:Number, iip, <:Dual{T,V,P}}, alg::NewtonRaphson, args...; kwargs...) where {iip, T, V, P}
+function SciMLBase.solve(prob::NonlinearProblem{<:Number, iip, <:Dual{T,V,P}}, alg::NewtonRaphson, args...; kwargs...) where {iip, T, V, P}
   sol, partials = scalar_nlsolve_ad(prob, alg, args...; kwargs...)
   return NewtonSolution(Dual{T,V,P}(sol.u, partials), sol.retcode)
 end
-function solve(prob::NonlinearProblem{<:Number, iip, <:AbstractArray{<:Dual{T,V,P}}}, alg::NewtonRaphson, args...; kwargs...) where {iip, T, V, P}
+function SciMLBase.solve(prob::NonlinearProblem{<:Number, iip, <:AbstractArray{<:Dual{T,V,P}}}, alg::NewtonRaphson, args...; kwargs...) where {iip, T, V, P}
   sol, partials = scalar_nlsolve_ad(prob, alg, args...; kwargs...)
   return NewtonSolution(Dual{T,V,P}(sol.u, partials), sol.retcode)
 end
 
 # avoid ambiguities
 for Alg in [Bisection]
-  @eval function solve(prob::NonlinearProblem{uType, iip, <:Dual{T,V,P}}, alg::$Alg, args...; kwargs...) where {uType, iip, T, V, P}
+  @eval function SciMLBase.solve(prob::NonlinearProblem{uType, iip, <:Dual{T,V,P}}, alg::$Alg, args...; kwargs...) where {uType, iip, T, V, P}
     sol, partials = scalar_nlsolve_ad(prob, alg, args...; kwargs...)
     return BracketingSolution(Dual{T,V,P}(sol.left, partials), Dual{T,V,P}(sol.right, partials), sol.retcode)
   end
-  @eval function solve(prob::NonlinearProblem{uType, iip, <:AbstractArray{<:Dual{T,V,P}}}, alg::$Alg, args...; kwargs...) where {uType, iip, T, V, P}
+  @eval function SciMLBase.solve(prob::NonlinearProblem{uType, iip, <:AbstractArray{<:Dual{T,V,P}}}, alg::$Alg, args...; kwargs...) where {uType, iip, T, V, P}
     sol, partials = scalar_nlsolve_ad(prob, alg, args...; kwargs...)
     return BracketingSolution(Dual{T,V,P}(sol.left, partials), Dual{T,V,P}(sol.right, partials), sol.retcode)
   end
 end
 
-function solve(prob::NonlinearProblem, ::Bisection, args...; maxiters = 1000, kwargs...)
+function SciMLBase.solve(prob::NonlinearProblem, ::Bisection, args...; maxiters = 1000, kwargs...)
   f = Base.Fix2(prob.f, prob.p)
   left, right = prob.u0
   fl, fr = f(left), f(right)
@@ -116,7 +116,7 @@ function solve(prob::NonlinearProblem, ::Bisection, args...; maxiters = 1000, kw
   return BracketingSolution(left, right, MAXITERS_EXCEED)
 end
 
-function solve(prob::NonlinearProblem, ::Falsi, args...; maxiters = 1000, kwargs...)
+function SciMLBase.solve(prob::NonlinearProblem, ::Falsi, args...; maxiters = 1000, kwargs...)
   f = Base.Fix2(prob.f, prob.p)
   left, right = prob.u0
   fl, fr = f(left), f(right)

src/solve.jl

@@ -1,12 +1,12 @@
-function solve(prob::NonlinearProblem,
-                          alg::AbstractNonlinearSolveAlgorithm, args...;
-                          kwargs...)
+function SciMLBase.solve(prob::NonlinearProblem,
+                         alg::AbstractNonlinearSolveAlgorithm, args...;
+                         kwargs...)
   solver = init(prob, alg, args...; kwargs...)
   sol = solve!(solver)
   return sol
 end
 
-function init(prob::NonlinearProblem{uType, iip}, alg::AbstractBracketingAlgorithm, args...;
+function SciMLBase.init(prob::NonlinearProblem{uType, iip}, alg::AbstractBracketingAlgorithm, args...;
     alias_u0 = false,
     maxiters = 1000,
     kwargs...
@@ -33,7 +33,7 @@ function init(prob::NonlinearProblem{uType, iip}, alg::AbstractBracketingAlgorit
   return BracketingImmutableSolver(1, f, alg, left, right, fl, fr, p, false, maxiters, DEFAULT, cache, iip)
 end
 
-function init(prob::NonlinearProblem{uType, iip}, alg::AbstractNewtonAlgorithm, args...;
+function SciMLBase.init(prob::NonlinearProblem{uType, iip}, alg::AbstractNewtonAlgorithm, args...;
     alias_u0 = false,
     maxiters = 1000,
     tol = 1e-6,
@@ -58,7 +58,7 @@ function init(prob::NonlinearProblem{uType, iip}, alg::AbstractNewtonAlgorithm,
   return NewtonImmutableSolver(1, f, alg, u, fu, p, false, maxiters, internalnorm, DEFAULT, tol, cache, iip)
 end
 
-function solve!(solver::AbstractImmutableNonlinearSolver)
+function SciMLBase.solve!(solver::AbstractImmutableNonlinearSolver)
   solver = mic_check(solver)
   while !solver.force_stop && solver.iter < solver.maxiters
     solver = perform_step(solver, solver.alg, Val(solver.iip))
@@ -115,14 +115,14 @@ end
 
 Reinitialize solver to the original starting conditions
 """
-function reinit!(solver::NewtonImmutableSolver, prob::NonlinearProblem{uType, true}) where {uType}
+function SciMLBase.reinit!(solver::NewtonImmutableSolver, prob::NonlinearProblem{uType, true}) where {uType}
   @. solver.u = prob.u0
   @set! solver.iter = 1
   @set! solver.force_stop = false
   return solver
 end
 
-function reinit!(solver::NewtonImmutableSolver, prob::NonlinearProblem{uType, false}) where {uType}
+function SciMLBase.reinit!(solver::NewtonImmutableSolver, prob::NonlinearProblem{uType, false}) where {uType}
   @set! solver.u = prob.u0
   @set! solver.iter = 1
   @set! solver.force_stop = false

src/types.jl

@@ -1,17 +1,3 @@
-struct NullParameters end
-
-struct NonlinearProblem{uType,isinplace,P,F,K} <: AbstractNonlinearProblem{uType,isinplace}
-    f::F
-    u0::uType
-    p::P
-    kwargs::K
-    @add_kwonly function NonlinearProblem{iip}(f,u0,p=NullParameters();kwargs...) where iip
-        new{typeof(u0),iip,typeof(p),typeof(f),typeof(kwargs)}(f,u0,p,kwargs)
-    end
-end
-
-NonlinearProblem(f,u0,args...;kwargs...) = NonlinearProblem{isinplace(f, 3)}(f,u0,args...;kwargs...)
-
 @enum Retcode::Int begin
     DEFAULT
     EXACT_SOLUTION_LEFT
@@ -37,7 +23,7 @@ struct BracketingImmutableSolver{fType, algType, uType, resType, pType, cacheTyp
 end
 
 # function BracketingImmutableSolver(iip, iter, f, alg, left, right, fl, fr, p, force_stop, maxiters, retcode, cache)
-#     BracketingImmutableSolver{iip, typeof(f), typeof(alg), 
+#     BracketingImmutableSolver{iip, typeof(f), typeof(alg),
 #         typeof(left), typeof(fl), typeof(p), typeof(cache)}(iter, f, alg, left, right, fl, fr, p, force_stop, maxiters, retcode, cache)
 # end
 
@@ -58,7 +44,7 @@ struct NewtonImmutableSolver{fType, algType, uType, resType, pType, INType, tolT
 end
 
 # function NewtonImmutableSolver{iip}(iter, f, alg, u, fu, p, force_stop, maxiters, internalnorm, retcode, tol, cache) where iip
-#     NewtonImmutableSolver{iip, typeof(f), typeof(alg), typeof(u), 
+#     NewtonImmutableSolver{iip, typeof(f), typeof(alg), typeof(u),
 #         typeof(fu), typeof(p), typeof(internalnorm), typeof(tol), typeof(cache)}(iter, f, alg, u, fu, p, force_stop, maxiters, internalnorm, retcode, tol, cache)
 # end