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L_constraint

Linear Constraints


Description

Linear constraints are typically of the form

Lx ≤q rhs

where L is a m \times n (sparse) matrix of coefficients to the objective variables x and the right hand side rhs is a vector of length m.

Usage

L_constraint(L, dir, rhs, names = NULL)

## S3 method for class 'L_constraint'
variable.names(object, ...)

as.L_constraint(x, ...)

is.L_constraint(x)

## S3 method for class 'L_constraint'
length(x)

## S3 method for class 'L_constraint'
terms(x, ...)

Arguments

L

a numeric vector of length n (a single constraint) or a matrix of dimension m \times n, where n is the number of objective variables and m is the number of constraints. Matrices can be of class "simple_triplet_matrix" to allow a sparse representation of constraints.

dir

a character vector with the directions of the constraints. Each element must be one of "<=", ">=" or "==".

rhs

a numeric vector with the right hand side of the constraints.

names

an optional character vector giving the names of x (column names of A).

object

an R object.

...

further arguments passed to or from other methods (currently ignored).

x

an R object.

Value

an object of class "L_constraint" which inherits from "constraint".

Author(s)

Stefan Theussl


ROI

R Optimization Infrastructure

v1.0-0
GPL-3
Authors
Kurt Hornik [aut], David Meyer [aut], Florian Schwendinger [aut], Stefan Theussl [aut, cre], Diethelm Wuertz [ctb]
Initial release

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