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modopt.matlab

Modeling Optimization Problems with R - MatLab compatibility functions. This package allows for MatLab-Style notation of matrix-based optimization models and reformats them to the appropriate ROI formulation.

Example Usage

Optimization Problem

maximize: 2x1 + x2
subject to: 
  x1 + x2 <= 5
  x1 <= 3
  x1 >= 0, x2 >= 0

Solution

Matrix formulation and solution using modopt.matlab and the function linprog()

f <- c(2, 1)
A <- matrix(c(1, 1, 1, 0), nrow=2, byrow=TRUE)
b <- c(5, 3)

sol <- linprog(-f, A, b)
sol$x

Install modopt.matlab from CRAN

install.packages("modopt.matlab")

Install latest development version of modopt.matlab

devtools::install_github("rhochreiter/modopt.matlab")
library("modopt.matlab")

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Version

Install

install.packages('modopt.matlab')

Monthly Downloads

217

Version

1.0-2

License

MIT + file LICENSE

Last Published

August 18th, 2018

Functions in modopt.matlab (1.0-2)

modopt.matlab-package

MatLab(R)-style Optimization Modeling in R using ROI
linprog

MatLab(R)-style Linear Programming in R using ROI
quadprog

MatLab(R)-style Quadratic Programming in R using ROI
intlinprog

MatLab(R)-style Mixed Integer Linear Programming in R using ROI