Convex Partition is a black-box optimisation algorithm for single objective real-parameters functions. The basic principle is to progressively estimate and exploit a regression tree similar to a CART (Classification and Regression Tree) of the objective function. For more details see 'de Paz' (2024) <doi:10.1007/978-3-031-62836-8_3> and 'Loh' (2011) <doi:10.1002/widm.8> .
| Version: | 0.1.0 | 
| Depends: | R (≥ 2.10.0) | 
| Published: | 2024-07-12 | 
| DOI: | 10.32614/CRAN.package.CPoptim | 
| Author: | Erick G.G. de Paz | 
| Maintainer: | Erick G.G. de Paz <giles.erick at colpos.mx> | 
| License: | GPL-2 | 
| NeedsCompilation: | yes | 
| CRAN checks: | CPoptim results | 
| Reference manual: | CPoptim.html , CPoptim.pdf | 
| Package source: | CPoptim_0.1.0.tar.gz | 
| Windows binaries: | r-devel: CPoptim_0.1.0.zip, r-release: CPoptim_0.1.0.zip, r-oldrel: CPoptim_0.1.0.zip | 
| macOS binaries: | r-release (arm64): CPoptim_0.1.0.tgz, r-oldrel (arm64): CPoptim_0.1.0.tgz, r-release (x86_64): CPoptim_0.1.0.tgz, r-oldrel (x86_64): CPoptim_0.1.0.tgz | 
| Reverse suggests: | nls2 | 
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