Create ode.md #924
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Create ode.md #924
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Added documentation for MOO in BBO
MOO docs update.
MOO docs update.
updated project.toml for the docs.
Added compat for BBO.
Added required packages for MOO docs.
added required packages for MOO
Corrected function names for MOO docs.
Removed unnecessary FowardDiff function.
Added the package for the algorithms.
Added evolutionary to the package.
updated algorithm call.
Correction of changeing tuple to vector.
corrected algorithm calls.
Adding argument mapping for num_dimensions and fitness_scheme.
syntax change for num_dimensions and fitness_scheme passing in solve().
Docs for first draft of OptimizationODE.jl
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| * `HighOrderDescent()` — uses the Vern7 high-order Runge-Kutta method. | ||
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Missing a description of the generic one, and where to find more solvers
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Describe them all as gradient-based local optimizers.
Co-authored-by: Christopher Rackauckas <[email protected]>
Method descriptions for the solvers added.
ChrisRackauckas
approved these changes
Jun 2, 2025
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Looks good, needs to bump after registration. |
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| function finite_difference_jacobian(f, x; ϵ = 1e-8) |
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no just use the jac function provided by the initialization on f.
| RKChebyshevDescent() = ODEOptimizer(ROCK2()) | ||
| RKAccelerated() = ODEOptimizer(Tsit5()) | ||
| HighOrderDescent() = ODEOptimizer(Vern7()) | ||
| DAEMassMatrix() = DAEOptimizer(Rodas5()) |
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DAE is a different PR do not merge different PRs together.
Updated docs.
updated docs
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Docs for first draft of OptimizationODE.jl
Checklist
contributor guidelines, in particular the SciML Style Guide and
COLPRAC.
Additional context
Add any other context about the problem here.