get.sensitivity.rhs {lpSolveAPI}

Get Sensitivity: Right-Hand-Side

Description

Retrieve the sensitivity of the constraints from a successfully solved lpSolve linear program model object.

Usage

get.sensitivity.rhs(lprec)

Arguments

lprec

an lpSolve linear program model object.

Value

a list with components

duals

a numeric vector of length m+n (where m is the number of constraints in m and n is the number of decision variables in lprec) containing the values of the dual variables (reduced costs).

dualsfrom

a numeric vector of length m+n (where m is the number of constraints in m and n is the number of decision variables in lprec) containing the values of the lower limits on the dual variables.

dualstill

a numeric vector of length m+n (where m is the number of constraints in m and n is the number of decision variables in lprec) containing the values of the upper limits on the dual variables.

Author(s)

Kjell Konis [e-mail]

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)
get.sensitivity.rhs(lps.model)