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CPoptim  

Convex Partition Optimisation
View on CRAN: Click here


Download and install CPoptim package within the R console
Install from CRAN:
install.packages("CPoptim")

Install from Github:
library("remotes")
install_github("cran/CPoptim")

Install by package version:
library("remotes")
install_version("CPoptim", "0.1.0")



Attach the package and use:
library("CPoptim")
Maintained by
Erick G.G. de Paz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-07-12
Latest Update: 2024-07-12
Description:
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> .
How to cite:
Erick G.G. de Paz (2024). CPoptim: Convex Partition Optimisation. R package version 0.1.0, https://cran.r-project.org/web/packages/CPoptim. Accessed 10 Nov. 2024.
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