Comments (3)
ChrisRackauckas
commented on May 23, 2024
As noted in the docs, you have to be on the JuliaODE repository's version of ODE.jl, at least until pwl's PR goes through. It saying ExplicitODE not defined is telling me you're on JuliaLang/ODE.jl which doesn't have that part defined.
BTW, you might want to check out the benchmarks I just ran for nonstiff methods. ODE.jl's methods don't fair too well. For pure speed go with ODEInterface algs. For slightly less speed but lower error go with the DifferentialEquations.jl algs. But I haven't found a case where ode45 performs well...
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rveltz
commented on May 23, 2024
Thank you!
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ChrisRackauckas
commented on May 23, 2024
No problem. Hopefully the standard branch will be able to be used soon.
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Related Issues (20)
- LoadError: TypeError: in setfield! HOT 1
- oneunit(::Type{Any} HOT 1
- Failed to precompile LoadError: UndefVarError: `OperatorAssumptions` not defined HOT 2
- ImplicitEuler fails to solve a nonlinear spring-damper problem HOT 5
- Plotting ODESolution using plot(sol) fails when using ODEFunction in combination with 'syms' keyword HOT 4
- SciML UDE tutorial code breaks in Julia 1.10 HOT 1
- StackOverflowError when passing tuple of parameters containing an `ODESolution` HOT 3
- Type-instability when using nested structs HOT 2
- I/O: Example of interface to `IterableTables` errors when trying to predefine column names HOT 1
- Unable to get full matrix whose columns is the solution to an ODE with newer version of RecursiveArrayTools. HOT 2
- Unexpected behavior with `PresetTimeCallback`
- Type-instability arising from initial condition HOT 5
- Error in ContinuousCallback event handling HOT 1
- autodiff in default algorithm HOT 5
- Seems idxs not working for EnsembleSummary plot HOT 2
- DAE with continuous callback and `DImplicitEuler` results in incorrect `integrator.u` in `affect!()`
- Failed to precompile BoundaryValueDiffEq HOT 2
- Alignment between “Recommended Methods” and the polyalgorithms HOT 3
- tstops should give meaningful error if given duals
- Permit setting `seed` for multiple stochastic ensemble simulations
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