High-Performance Open-Source Archive
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: | 1.0.5 |
| Imports: | Rcpp (≥ 0.12.3) |
| LinkingTo: | Rcpp |
| Published: | 2025-12-16 |
| DOI: | 10.32614/CRAN.package.Pijavski |
| 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 |
| Reference manual: | Pijavski.html , Pijavski.pdf |
| Package source: | Pijavski_1.0.5.tar.gz |
| Windows binaries: | r-devel: Pijavski_1.0.5.zip, r-release: Pijavski_1.0.5.zip, r-oldrel: Pijavski_1.0.5.zip |
| macOS binaries: | r-release (arm64): Pijavski_1.0.5.tgz, r-oldrel (arm64): Pijavski_1.0.5.tgz, r-release (x86_64): Pijavski_1.0.5.tgz, r-oldrel (x86_64): Pijavski_1.0.5.tgz |
| Old sources: | Pijavski archive |
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