testupdate

Author: TorkelE

Project.toml

@@ -42,4 +42,4 @@ Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["DelayDiffEq", "DDEProblemLibrary", "ODEProblemLibrary", "SDEProblemLibrary", "OrdinaryDiffEq", "ParameterizedFunctions", "Random", "StochasticDiffEq", "StochasticDelayDiffEq", "Plots", "Test"]
+test = ["DelayDiffEq", "DDEProblemLibrary", "NonlinearSolve", "ODEProblemLibrary", "SDEProblemLibrary", "OrdinaryDiffEq", "ParameterizedFunctions", "Random", "StochasticDiffEq", "StochasticDelayDiffEq", "Plots", "Test"]

src/benchmark.jl

@@ -297,7 +297,7 @@ function WorkPrecision(prob::NonlinearProblem, alg, abstols, reltols, dts = noth
             sol = solve(_prob, alg; kwargs..., abstol = abstols[i], reltol = reltols[i])
 
             if error_estimate == :l2
-                errors[i] = sqrt(sum(ab2, sol .- appxsol))
+                errors[i] = sqrt(sum(abs2, sol .- appxsol))
             else
                 error("Unsupported norm used: $(error_estimate).")
             end

test/nonlinearsolve_wpdiagram_tests.jl

@@ -1,9 +1,9 @@
 # Fetch pakages.
-using NonlinearSolve, StaticArrays, DiffEqDevTools, Plots
+using NonlinearSolve, DiffEqDevTools, Plots
 
 # Prepares NonlinearProblem.
 f(u, p) = u .* u .- p
-u0 = @SVector[1.0, 1.0]
+u0 = [1.0, 1.0]
 p = 2.0
 static_prob = NonlinearProblem(f, u0, p)
 real_sol = solve(static_prob, NewtonRaphson(), reltol = 1e-15, abstol = 1e-15)