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 + file LICENSE |
URL: | https://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_0.2.4.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: | CondIndTests, ctsem, parafac4microbiome |
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