solve.lpExtPtr {lpSolveAPI}

Solve a Linear Program

Package:

lpSolveAPI

Version:

5.5.2.0-8

Description

Attempt to compute the optimal solution of an lpSolve linear program model object.

Usage

 
## S3 method for class 'lpExtPtr':
solve((a, b, ...))

Arguments

a: an lpSolve linear program model object.
b: this argument is ignored.
...: additional arguments are ignored.

Values

a single integer value containing the status code.

Status Codes

0:	"optimal solution found"
1:	"the model is sub-optimal"
2:	"the model is infeasible"
3:	"the model is unbounded"
4:	"the model is degenerate"
5:	"numerical failure encountered"
6:	"process aborted"
7:	"timeout"
9:	"the model was solved by presolve"
10:	"the branch and bound routine failed"
11:	"the branch and bound was stopped because of a break-at-first or break-at-value"
12:	"a feasible branch and bound solution was found"
13:	"no feasible branch and bound solution was found"

References

http://lpsolve.sourceforge.net/5.5/index.htm

Examples

lps.model <- make.lp(0, 3)
xt <- c(6,2,4)
add.constraint(lps.model, xt, "<=", 150)
xt <- c(1,1,6)
add.constraint(lps.model, xt, ">=", 0)
xt <- c(4,5,4)
add.constraint(lps.model, xt, "=", 40)
set.objfn(lps.model, c(-3,-4,-3))
 
solve(lps.model)

Author(s)

Kjell Konis kjell.konis@me.com

Documentation reproduced from package lpSolveAPI, version 5.5.2.0-8. License: LGPL-2