Learn R Programming

lpSolveAPI (version 5.5.2.0-17.12)

set.type: Set Type

Description

Set the type of a decision variable in an lpSolve linear program model object.

Usage

set.type(lprec, columns, type = c("integer", "binary", "real"))

Value

a NULL value is invisibly returned.

Arguments

lprec

an lpSolve linear program model object.

columns

a numeric vector of unique values from the set {1, ..., n} (where n is the number of decision variables in lprec) specifying which variables are to have their type set.

type

either "integer", "binary" or "real". The decision variables in columns will have their type set to this value.

Author

Kjell Konis kjell.konis@me.com

Details

A binary decision variable is simply an integer decision with an upper bound of one and a lower bound of zero. When type = "binary" the type of the decision variable will be set to "integer" and the bounds will be set to zero and one respectively.

References

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

See Also

set.type

Examples

Run this code
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)
set.type(lps.model, 2, "binary")
xt <- c(4,5,4)
add.constraint(lps.model, xt, "=", 40)
set.type(lps.model, 3, "integer")
set.objfn(lps.model, c(-3,-4,-3))

get.type(lps.model)

Run the code above in your browser using DataLab