ao: Alternating Optimization
Alternating optimization of (high-dimensional) functions is an iterative procedure for minimizing (or maximizing) jointly over all parameters by alternately optimizing parameter subsets. For a reference, see Bezdek and Hathaway (2002) "Some Notes on Alternating Optimization" <doi:10.1007/3-540-45631-7_39>.
| Version: | 0.2.1 |
| Imports: | R.utils, optimx, ggplot2 |
| Suggests: | testthat (≥ 3.0.0), magrittr, knitr, rmarkdown, covr |
| Published: | 2022-01-04 |
| Author: | Lennart Oelschläger
 [aut, cre] |
| Maintainer: | Lennart Oelschläger <lennart.oelschlaeger at uni-bielefeld.de> |
| BugReports: | https://github.com/loelschlaeger/ao/issues |
| License: | GPL-3 |
| URL: | https://loelschlaeger.github.io/ao/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | ao results |
Documentation:
| Reference manual: | ao.pdf |
| Vignettes: |
ao |
Downloads:
| Package source: | ao_0.2.1.tar.gz |
| Windows binaries: | r-devel: ao_0.2.1.zip, r-release: ao_0.2.1.zip, r-oldrel: ao_0.2.1.zip |
| macOS binaries: | r-release (arm64): ao_0.2.1.tgz, r-oldrel (arm64): ao_0.2.1.tgz, r-release (x86_64): ao_0.2.1.tgz, r-oldrel (x86_64): ao_0.2.1.tgz |
| Old sources: | ao archive |
Linking:
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