https://github.com/emmt/powellmethods.jl
Julia interface to some derivative-free optimization algorithms by M.J.D. Powell
https://github.com/emmt/powellmethods.jl
Last synced: 9 months ago
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Julia interface to some derivative-free optimization algorithms by M.J.D. Powell
- Host: GitHub
- URL: https://github.com/emmt/powellmethods.jl
- Owner: emmt
- License: mit
- Created: 2024-02-01T15:35:45.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-22T14:05:54.000Z (over 1 year ago)
- Last Synced: 2025-03-23T22:34:48.897Z (about 1 year ago)
- Language: Julia
- Size: 107 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# PowellMethods
[](./LICENSE.md)
[](https://github.com/emmt/PowellMethods.jl/actions/workflows/CI.yml?query=branch%3Amain)
[](https://codecov.io/gh/emmt/PowellMethods.jl)
`PowellMethods` is a [Julia](http://julialang.org/) interface to some of the
derivative-free optimization algorithms by M.J.D. Powell:
* `COBYLA` (Powell, 1994) accounts for general inequality constraints.
* `NEWUOA` (Powell, 2006) is for unconstrained optimization.
* `BOBYQA` (Powell, 2009) accounts for bound constraints on the variables.
This package is a wrapper over the implementations of these algorithms in the C
language in [`OptimPack`](https://github.com/emmt/OptimPack) libraries. Precompiled
versions of these libraries are provided by
[`OptimPack_jll`](https://github.com/JuliaBinaryWrappers/OptimPack_jll.jl)
package.
For a more mature interface to M.J.D. Powell algorithms, I strongly recommend to use the [`PRIMA`](https://github.com/libprima/PRIMA.jl) package.
## Installation
The easiest way to install `PowellMethods` is via Julia registry
[`EmmtRegistry`](https://github.com/emmt/EmmtRegistry):
```julia
using Pkg
pkg"registry add General" # if not yet any registries
pkg"registry add https://github.com/emmt/EmmtRegistry"
pkg"add PowellMethods"
```
## References
* M.J.D. Powell, "*A direct search optimization method that models the
objective and constraint functions by linear interpolation*" in Advances in
Optimization and Numerical Analysis Mathematics and Its Applications, vol.
**275** (eds. Susana Gomez and Jean-Pierre Hennart), Kluwer Academic
Publishers, pp. 51-67 (1994).
* M.J.D. Powell, "*The NEWUOA software for unconstrained minimization without
derivatives*" in Large-Scale Nonlinear Optimization, editors G. Di Pillo and
M. Roma, Springer, pp. 255-297 (2006).
* M.J.D. Powell, "*The BOBYQA Algorithm for Bound Constrained Optimization
Without Derivatives*", Technical report, Department of Applied Mathematics
and Theoretical Physics, University of Cambridge (2009).