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optimg: General-Purpose Gradient-Based Optimization

Provides general purpose tools for helping users to implement steepest gradient descent methods for function optimization; for details see Ruder (2016) <doi:10.48550/arXiv.1609.04747>. Currently, the Steepest 2-Groups Gradient Descent and the Adaptive Moment Estimation (Adam) are the methods implemented. Other methods will be implemented in the future.

Version: 0.1.2
Imports: ucminf (≥ 1.1-4)
Published: 2021-10-07
DOI: 10.32614/CRAN.package.optimg
Author: Vithor Rosa Franco
Maintainer: Vithor Rosa Franco <vithorfranco at gmail.com>
License: GPL-3
URL: https://github.com/vthorrf/optimg
NeedsCompilation: no
CRAN checks: optimg results

Documentation:

Reference manual: optimg.pdf

Downloads:

Package source: optimg_0.1.2.tar.gz
Windows binaries: r-devel: optimg_0.1.2.zip, r-release: optimg_0.1.2.zip, r-oldrel: optimg_0.1.2.zip
macOS binaries: r-release (arm64): optimg_0.1.2.tgz, r-oldrel (arm64): optimg_0.1.2.tgz, r-release (x86_64): optimg_0.1.2.tgz, r-oldrel (x86_64): optimg_0.1.2.tgz

Reverse dependencies:

Reverse imports: skipTrack

Linking:

Please use the canonical form https://CRAN.R-project.org/package=optimg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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