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ConConPiWiFun  

Optimisation with Continuous Convex Piecewise (Linear and Quadratic) Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ConConPiWiFun", "0.4.6.1")



Attach the package and use:
library("ConConPiWiFun")
Maintained by
Robin Girard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-01-12
Latest Update: 2020-10-14
Description:
Continuous convex piecewise linear (ccpl) resp. quadratic (ccpq) functions can be implemented with sorted breakpoints and slopes. This includes functions that are ccpl (resp. ccpq) on a convex set (i.e. an interval or a point) and infinite out of the domain. These functions can be very useful for a large class of optimisation problems. Efficient manipulation (such as log(N) insertion) of such data structure is obtained with map standard template library of C++ (that hides balanced trees). This package is a wrapper on such a class based on Rcpp modules.
How to cite:
Robin Girard (2013). ConConPiWiFun: Optimisation with Continuous Convex Piecewise (Linear and Quadratic) Functions. R package version 0.4.6.1, https://cran.r-project.org/web/packages/ConConPiWiFun. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1 (2013-01-12 15:01), 0.2 (2013-01-22 11:44), 0.3 (2013-02-13 06:14), 0.4.1 (2013-06-06 09:41), 0.4.2 (2013-11-05 10:55), 0.4.3 (2014-10-01 18:28), 0.4.4 (2014-10-02 08:21), 0.4.6 (2015-11-18 09:31)
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Other R packages that ConConPiWiFun depends, imports, suggests or enhances
Complete documentation for ConConPiWiFun
Functions, R codes and Examples using the ConConPiWiFun R package
Some associated functions: ConConPiWiFun-package . OptimPriceStorage . cplfunction . cplfunctionvec . cpqfunction . cpqfunctionvec . 
Some associated R codes: OptimStorage.R . zzz.R .  Full ConConPiWiFun package functions and examples
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