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:

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