ao: Alternating Optimization

Alternating optimization of (high-dimensional) functions is an iterative procedure for optimizing jointly over all parameters by alternately optimizing parameter subsets. For a reference on the method, see Bezdek and Hathaway (2002) "Some Notes on Alternating Optimization" <doi:10.1007/3-540-45631-7_39>.

Version: 0.2.4
Depends: R (≥ 4.0.0), optimizeR (≥ 0.2.0)
Imports: ggplot2, rlang
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, covr
Published: 2022-12-04
Author: Lennart Oelschläger ORCID iD [aut, cre]
Maintainer: Lennart Oelschläger <oelschlaeger.lennart at gmail.com>
BugReports: https://github.com/loelschlaeger/ao/issues
License: GPL-3
URL: https://github.com/loelschlaeger/ao/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ao results

Documentation:

Reference manual: ao.pdf
Vignettes: Alternating optimization with {ao}

Downloads:

Package source: ao_0.2.4.tar.gz
Windows binaries: r-devel: ao_0.2.4.zip, r-release: ao_0.2.4.zip, r-oldrel: ao_0.2.4.zip
macOS binaries: r-release (arm64): ao_0.2.3.tgz, r-oldrel (arm64): ao_0.2.3.tgz, r-release (x86_64): ao_0.2.4.tgz, r-oldrel (x86_64): ao_0.2.4.tgz
Old sources: ao archive

Reverse dependencies:

Reverse imports: ino

Linking:

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