From 3e8932299d124200afc1d407c96a65fe335225dc Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Tue, 5 Nov 2024 07:58:17 -0100 Subject: [PATCH 1/4] Test master --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index 5e92a47..ab78d73 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,6 @@ functionality should check out [DifferentialEquations.jl](https://github.com/Sci DelayDiffEq.jl is part of the JuliaDiffEq common interface, but can be used independently of DifferentialEquations.jl. The only requirement is that the user passes a DelayDiffEq.jl algorithm to `solve`. For example, we can solve the [DDE tutorial from the documentation](https://diffeq.sciml.ai/stable/tutorials/dde_example/) using the `MethodOfSteps(Tsit5())` algorithm: - ```julia using DelayDiffEq const p0 = 0.2; const q0 = 0.3; const v0 = 1; const d0 = 5 From 2b611bb2e59a602bda9ca82216baf00f9f39d0bf Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Tue, 5 Nov 2024 08:26:15 -0100 Subject: [PATCH 2/4] Update waltman.jl --- test/regression/waltman.jl | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/test/regression/waltman.jl b/test/regression/waltman.jl index 8201b83..ed83af9 100644 --- a/test/regression/waltman.jl +++ b/test/regression/waltman.jl @@ -21,7 +21,7 @@ function test_waltman_sol(sol) end # standard factorization -sol1 = solve(PROB_WALTMAN, MethodOfSteps(Rosenbrock23()); PROB_KWARGS...) +sol1 = solve(PROB_WALTMAN, MethodOfSteps(Rodas5P()); PROB_KWARGS...) test_waltman_sol(sol1) # in-place LU factorization @@ -32,7 +32,7 @@ test_waltman_sol(sol2) # out-of-place LU factorization sol3 = solve( - PROB_WALTMAN, MethodOfSteps(Rosenbrock23(linsolve = GenericFactorization(lu))); + PROB_WALTMAN, MethodOfSteps(Rodas5P(linsolve = GenericFactorization(lu))); PROB_KWARGS...) test_waltman_sol(sol3) From 28bab47895fb202eee946d7b817ca6edd6a72d53 Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Tue, 5 Nov 2024 08:48:39 -0100 Subject: [PATCH 3/4] Update waltman.jl --- test/regression/waltman.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/regression/waltman.jl b/test/regression/waltman.jl index ed83af9..f124220 100644 --- a/test/regression/waltman.jl +++ b/test/regression/waltman.jl @@ -26,7 +26,7 @@ test_waltman_sol(sol1) # in-place LU factorization sol2 = solve(PROB_WALTMAN, - MethodOfSteps(Rosenbrock23(linsolve = GenericFactorization(lu!))); + MethodOfSteps(Rodas5P(linsolve = GenericFactorization(lu!))); PROB_KWARGS...) test_waltman_sol(sol2) From 83a47c387b53a96a4e8ef2f5a428275c8c0b2db3 Mon Sep 17 00:00:00 2001 From: Christopher Rackauckas Date: Tue, 5 Nov 2024 21:15:20 -0100 Subject: [PATCH 4/4] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index ab78d73..5e92a47 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,7 @@ functionality should check out [DifferentialEquations.jl](https://github.com/Sci DelayDiffEq.jl is part of the JuliaDiffEq common interface, but can be used independently of DifferentialEquations.jl. The only requirement is that the user passes a DelayDiffEq.jl algorithm to `solve`. For example, we can solve the [DDE tutorial from the documentation](https://diffeq.sciml.ai/stable/tutorials/dde_example/) using the `MethodOfSteps(Tsit5())` algorithm: + ```julia using DelayDiffEq const p0 = 0.2; const q0 = 0.3; const v0 = 1; const d0 = 5