Added reinit! for NewtonRaphson

src/raphson.jl

@@ -198,3 +198,22 @@ function SciMLBase.solve!(cache::NewtonRaphsonCache)
     SciMLBase.build_solution(cache.prob, cache.alg, cache.u, cache.fu;
                              retcode = cache.retcode)
 end
+
+function SciMLBase.reinit!(cache::NewtonRaphsonCache{iip}, u0 = cache.u0; p = cache.p,
+                           abstol = cache.abstol, maxiters = cache.maxiters) where {iip}
+    cache.p = p
+    if iip
+        recursivecopy!(cache.u, u0)
+        cache.f(cache.fu, cache.u, p)
+    else
+        # don't have alias_u0 but cache.u is never mutated for OOP problems so it doesn't matter
+        cache.u = u0
+        cache.fu = cache.f(cache.u, p)
+    end
+    cache.abstol = abstol
+    cache.maxiters = maxiters
+    cache.iter = 1
+    cache.force_stop = false
+    cache.retcode = ReturnCode.Default
+    return cache
+end

test/basictests.jl

@@ -111,6 +111,37 @@ end
 @test gnewton(p) ≈ [sqrt(p[2] / p[1])]
 @test ForwardDiff.jacobian(gnewton, p) ≈ ForwardDiff.jacobian(t, p)
 
+# Iterator interface
+f = (u, p) -> u * u - p
+g = function (p_range)
+    probN = NonlinearProblem{false}(f, 0.5, p_range[begin])
+    cache = init(probN, NewtonRaphson(); maxiters = 100, abstol=1e-10)
+    sols = zeros(length(p_range))
+    for (i, p) in enumerate(p_range)
+        reinit!(cache, cache.u; p = p)
+        sol = solve!(cache)
+        sols[i] = sol.u
+    end
+    return sols
+end
+p = range(0.01, 2, length = 200)
+@test g(p) ≈ sqrt.(p)
+
+f = (res, u, p) -> (res[begin] = u[1] * u[1] - p)
+g = function (p_range)
+    probN = NonlinearProblem{true}(f, [0.5], p_range[begin])
+    cache = init(probN, NewtonRaphson(); maxiters = 100, abstol=1e-10)
+    sols = zeros(length(p_range))
+    for (i, p) in enumerate(p_range)
+        reinit!(cache, [cache.u[1]]; p = p)
+        sol = solve!(cache)
+        sols[i] = sol.u[1]
+    end
+    return sols
+end
+p = range(0.01, 2, length = 200)
+@test g(p) ≈ sqrt.(p)
+
 # Error Checks
 
 f, u0 = (u, p) -> u .* u .- 2.0, @SVector[1.0, 1.0]