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
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-prerel: optimg_0.1.2.zip, r-release: optimg_0.1.2.zip, r-oldrel: optimg_0.1.2.zip
macOS binaries:	r-prerel (arm64): optimg_0.1.2.tgz, r-release (arm64): optimg_0.1.2.tgz, r-oldrel (arm64): optimg_0.1.2.tgz, r-prerel (x86_64): optimg_0.1.2.tgz, r-release (x86_64): optimg_0.1.2.tgz

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