get.sensitivity.rhs: Get Sensitivity: Right-Hand-Side

In lpSolveAPI: R Interface to 'lp_solve' Version 5.5.2.0

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

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)
get.sensitivity.rhs(lps.model)

Example output

[1] 0
$duals
[1]  0.0  0.0 -0.8  0.2  0.0  0.2

$dualsfrom
[1] -1.000000e+30 -1.000000e+30  0.000000e+00 -4.000000e+01 -1.000000e+30
[6] -1.538462e+00

$dualstill
[1] 1.00e+30 1.00e+30 3.75e+02 1.00e+01 1.00e+30 1.00e+01

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