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Merge pull request #2511 from SciML/ChrisRackauckas-patch-8
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README.md

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@@ -15,6 +15,7 @@ ordinary differential equation solvers and utilities. While completely independe
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and usable on its own, users interested in using this
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functionality should check out [DifferentialEquations.jl](https://github.com/SciML/DifferentialEquations.jl).
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## Installation
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Assuming that you already have Julia correctly installed, it suffices to import

lib/OrdinaryDiffEqFIRK/test/ode_firk_tests.jl

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using OrdinaryDiffEqFIRK, DiffEqDevTools, Test, LinearAlgebra
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import ODEProblemLibrary: prob_ode_linear, prob_ode_2Dlinear, van
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testTol = 0.35
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testTol = 0.5
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for prob in [prob_ode_linear, prob_ode_2Dlinear]
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sim21 = test_convergence(1 .// 2 .^ (6:-1:3), prob, RadauIIA5())

lib/OrdinaryDiffEqNonlinearSolve/src/type.jl

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@@ -100,7 +100,7 @@ function NLSolver{iip, tType}(z, tmp, ztmp, γ, c, α, alg, κ, fast_convergence
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tmp,
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tmp2,
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ztmp,
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γ,
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float(γ),
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convert(tType, c),
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convert(tType, α),
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alg,

test/downstream/autodiff_events.jl

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@@ -24,7 +24,7 @@ prob = ODEProblem(f, eltype(p).([1.0, 0.0]), eltype(p).((0.0, 1.0)), copy(p))
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function test_f(p)
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_prob = remake(prob, p = p)
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solve(_prob, Tsit5(), abstol = 1e-14, reltol = 1e-14, callback = cb,
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save_everystep = false)[end]
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save_everystep = false).u[end]
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end
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findiff = Calculus.finite_difference_jacobian(test_f, p)
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findiff

test/downstream/delaydiffeq.jl

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@test sol.errors[:l∞] < error
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sol_scalar = solve(prob_scalar, ddealg)
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@test sol.tsol_scalar.t atol=1e-6
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@test sol[1, :] sol_scalar.u
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@test sol.tsol_scalar.t atol=1e-3
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@test sol[1, :] sol_scalar.u atol=1e-3
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end
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end
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