optimizr: Further Numerical Optimization Algorithms

A collection of numerical optimization algorithms. One is a simple implementation of the primitive grid search algorithm, the other is an extension of the simulated annealing algorithm that can take custom boundaries into account. The methodology for this bounded simulated annealing algorithm is due to Haario and Saksman (1991), <doi:10.2307/1427681>.

Version:	1.0.1
Imports:	stats, progressr, future.apply
Suggests:	testthat (≥ 3.0.0), doFuture
Published:	2026-03-19
DOI:	10.32614/CRAN.package.optimizr
Author:	Lukas D Sauer [aut, cre]
Maintainer:	Lukas D Sauer <sauer at imbi.uni-heidelberg.de>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	optimizr results

Documentation:

Reference manual:

optimizr.html , optimizr.pdf

Downloads:

Package source:	optimizr_1.0.1.tar.gz
Windows binaries:	r-devel: optimizr_1.0.1.zip, r-release: optimizr_1.0.1.zip, r-oldrel: optimizr_1.0.1.zip
macOS binaries:	r-release (arm64): optimizr_1.0.1.tgz, r-oldrel (arm64): optimizr_1.0.1.tgz, r-release (x86_64): optimizr_1.0.1.tgz, r-oldrel (x86_64): optimizr_1.0.1.tgz

Reverse dependencies:

Reverse suggests:

baskoptr

Linking:

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