solve.lpExtPtr: Solve a Linear Program

In lpSolveAPI: R Interface to 'lp_solve' Version 5.5.2.0

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.

Value

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"

Author(s)

Kjell Konis [e-mail]

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)

Example output

[1] 0

lpSolveAPI documentation built on May 2, 2019, 6:50 p.m.