addColsToProb-methods: Add New Columns (Variables) to an Optimization Problem

In sybil: Efficient Constrained Based Modelling

Description

Add new columns (variables) to an optimization problem.

Usage

## S4 method for signature 'optObj_clpAPI'
addColsToProb(lp, j, obj, lb, ub, rind, nzval)

## S4 method for signature 'optObj_cplexAPI'
addColsToProb(lp, j, obj, lb, ub, rind, nzval)

## S4 method for signature 'optObj_glpkAPI'
addColsToProb(lp, j, obj, lb, ub, rind, nzval)

## S4 method for signature 'optObj_lpSolveAPI'
addColsToProb(lp, j, obj, lb, ub, rind, nzval)

Arguments

lp	An object extending class optObj.
j	A numeric vector containing the new column indices.
obj	A numeric vector containing the objective coefficients of the new variables.
lb	A numeric vector containing the lower bounds of the new variables.
ub	A numeric vector containing the upper bounds of the new variables.
rind	A list containing the row indices of the new non-zero elements.
nzval	A list containing the new non-zero elements.

Methods

signature(lp = "optObj_clpAPI")

method to use with package optObj_clpAPI.

signature(lp = "optObj_cplexAPI")

method to use with package optObj_cplexAPI.

signature(lp = "optObj_glpkAPI")

method to use with package optObj_glpkAPI.

signature(lp = "optObj_lpSolveAPI")

method to use with package optObj_lpSolveAPI.

Note

Arguments j, obj, lb, lu, rind and nzval must have the same length.

Author(s)

Gabriel Gelius-Dietrich <[e-mail]>

Maintainer: Mayo Roettger <[e-mail]>

See Also

Superclass optObj and constructor function optObj.

sybil documentation built on May 31, 2021, 5:08 p.m.