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Pijavski: Global Univariate Minimization

Global univariate minimization of Lipschitz functions is performed by using Pijavski method, which was published in Pijavski (1972) <doi:10.1016/0041-5553(72)90115-2>.

Version: 1.0.3
Imports: Rcpp (≥ 0.12.3)
LinkingTo: Rcpp
Published: 2020-10-22
Author: Gleb Beliakov [aut, cre], Gita Das [aut], Jonathan Wells [ctb], Hewlett-Packard Company [ctb], Silicon Graphics Computer Systems Inc. [ctb]
Maintainer: Gleb Beliakov <gleb at deakin.edu.au>
License: LGPL-3
Copyright: Implementation of the binary heap is by Hewlett-Packard Company (1994), Silicon Graphics Computer Systems, Inc.(1996-1999). Modifications to the code by Johnathan Wells (2002)
NeedsCompilation: yes
CRAN checks: Pijavski results

Documentation:

Reference manual: Pijavski.pdf

Downloads:

Package source: Pijavski_1.0.3.tar.gz
Windows binaries: r-devel: Pijavski_1.0.3.zip, r-release: Pijavski_1.0.3.zip, r-oldrel: Pijavski_1.0.3.zip
macOS binaries: r-release (arm64): Pijavski_1.0.3.tgz, r-oldrel (arm64): Pijavski_1.0.3.tgz, r-release (x86_64): Pijavski_1.0.3.tgz, r-oldrel (x86_64): Pijavski_1.0.3.tgz
Old sources: Pijavski archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Pijavski 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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