Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
| Version: | 0.2.4 |
| Imports: | methods |
| Suggests: | testthat,knitr,rmarkdown,covr |
| Published: | 2020-08-30 |
| DOI: | 10.32614/CRAN.package.mize |
| Author: | James Melville [aut, cre] |
| Maintainer: | James Melville <jlmelville at gmail.com> |
| BugReports: | https://github.com/jlmelville/mize/issues |
| License: | BSD 2-clause License + fileLICENSE |
| URL: | https://github.com/jlmelville/mize |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | mize results |
| Reference manual: | mize.html ,mize.pdf |
| Vignettes: | Convergence (source,R code) Mize (source,R code) Metric MDS (source,R code) Stateful Optimization (source,R code) |
| Package source: | mize_0.2.4.tar.gz |
| Windows binaries: | r-devel:mize_0.2.4.zip, r-release:mize_0.2.4.zip, r-oldrel:mize_0.2.4.zip |
| macOS binaries: | r-release (arm64):mize_0.2.4.tgz, r-oldrel (arm64):mize_0.2.4.tgz, r-release (x86_64):mize_0.2.4.tgz, r-oldrel (x86_64):mize_0.2.4.tgz |
| Old sources: | mize archive |
| Reverse imports: | CMTFtoolbox,CondIndTests,ctsem |
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