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: | 0.2.3 |
| Imports: | methods |
| Suggests: | testthat, knitr, rmarkdown, covr |
| Published: | 2019-12-05 |
| Author: | James Melville [aut, cre] |
| Maintainer: | James Melville <jlmelville at gmail.com> |
| BugReports: | http://github.com/jlmelville/mize/issues |
| License: | BSD 2-clause License + file LICENSE |
| URL: | http://github.com/jlmelville/mize |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | mize results |
| Reference manual: | mize.pdf |
| Vignettes: |
Convergence Mize Metric MDS Stateful Optimization |
| Package source: | mize_0.2.3.tar.gz |
| Windows binaries: | r-devel: mize_0.2.3.zip, r-release: mize_0.2.3.zip, r-oldrel: mize_0.2.3.zip |
| macOS binaries: | r-release: mize_0.2.3.tgz, r-oldrel: mize_0.2.3.tgz |
| Old sources: | mize archive |
| Reverse imports: | CondIndTests, ctsem |
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