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Test master #297

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Nov 6, 2024
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Test master #297

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3e89322
Test master
ChrisRackauckas Nov 5, 2024
2b611bb
Update waltman.jl
ChrisRackauckas Nov 5, 2024
28bab47
Update waltman.jl
ChrisRackauckas Nov 5, 2024
83a47c3
Update README.md
ChrisRackauckas Nov 5, 2024
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1 change: 0 additions & 1 deletion README.md
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Expand Up @@ -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:

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```julia
using DelayDiffEq
const p0 = 0.2; const q0 = 0.3; const v0 = 1; const d0 = 5
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6 changes: 3 additions & 3 deletions test/regression/waltman.jl
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Expand Up @@ -21,18 +21,18 @@ 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
sol2 = solve(PROB_WALTMAN,
MethodOfSteps(Rosenbrock23(linsolve = GenericFactorization(lu!)));
MethodOfSteps(Rodas5P(linsolve = GenericFactorization(lu!)));
PROB_KWARGS...)
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)

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