Comments (3)
The repo is setup for it, and the method itself can be adaptive, it's just no one ever got to it. If @YingboMa finds time it might be a good time to finish it up. It just needs three steps: the definition of the interpolation, then the calculation of error estimates, then a resizing. It's not very difficult, but our main priority has been IVPs for awhile. As our work on stiff IVPs is starting to wrap up, this is a nice thing to keep in mind as an easy thing to finish up.
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Indeed. I am planning to look for covering it in the next GSoC round.
from boundaryvaluediffeq.jl.
This together with #27 would increase a lot the usability of this package. Or maybe it would easier to implement the ODEInterface BVP solvers within the DifferentialEquations package?
from boundaryvaluediffeq.jl.
Related Issues (20)
- Sensitivity Analysis of BVProblems HOT 3
- Pre-compilation failure HOT 1
- `TrustRegion(; radius_update_scheme = RadiusUpdateSchemes.Bastin)` doesn't work with `Shooting`
- Solving via Continuation: Interpolation error when using previous solution as initial guess HOT 3
- Example from the docs doesn't run HOT 1
- Manifolds.jl / `EmbeddedTorus` is failing again HOT 2
- MIRK4 adaptive time steps HOT 7
- Documentation
- Support Non-Vector Inputs for Multiple Shooting
- VJP Computation (for NonlinearSolve) is extremely inefficient
- Precompilation triggered at each include
- Indexing in boundary conditions HOT 1
- Solving via Continuation: Perfomance in a loop HOT 1
- Shooting methods fail on flow in a channel tests HOT 2
- MIRK methods don't support Static Arrays HOT 2
- MIRK4 interpolation bug HOT 1
- Bug when plotting with MIRK solver HOT 2
- BoundaryValueDiffEq.jl fails to precompile HOT 6
- Possibly incorrect warning and retcode while using BVPSOL HOT 2
- Shooting method fail when specified line search algorithm from LineSearches.jl for nonlinear solvers
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