solve.lpExtPtr: Solve a Linear Program

View source: R/solve.R

solve.lpExtPtrR Documentation

Solve a Linear Program

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 kjell.konis@me.com

References

https://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)

lpSolveAPI documentation built on Sept. 11, 2024, 9:27 p.m.