Comments (3)
The polyalgorithm constrains itself to a smaller set of algorithms to keep compilation time down, and prefers robustness over performance over a wide range of problems. Because of that, it sometimes deviates from the most optimal to something slightly less optimal in order to cut the number of algorithms in the list.
from differentialequations.jl.
If DifferentialEquations
includes all algorithms. (?) Can't we add an option to choose between "most optimal" or "best tradeoff"? Maybe in alg_hints
from differentialequations.jl.
Or just make those algorithms like SciML/OrdinaryDiffEq.jl#2103
from differentialequations.jl.
Related Issues (20)
- 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!()` HOT 1
- Failed to precompile BoundaryValueDiffEq HOT 3
- tstops should give meaningful error if given duals HOT 1
- Permit setting `seed` for multiple stochastic ensemble simulations HOT 1
- Bug when using auto-algorithm selection with continious callbacks HOT 2
- Allow symbolic indices to be passed to the `save_idxs` kwarg of `solve` HOT 1
- `ODESolution` interpolation fails for single value times with symbolic index HOT 2
- Error using interpolation with default algorithm HOT 2
- Callback finds only one solution
- Large Interpolation errors for exponential integrators in SplitODEProblems HOT 3
- SRA3 solver outputs an incorrect constant solution when given non-diagonal noise
- Memory leak during auto-algorithm selection with `EnsembleProblem` HOT 4
- Precompile error due to dependency version HOT 6
- Callback dosen't work when is set to "save_positions = (false, true)" HOT 1
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from differentialequations.jl.