get.sensitivity.rhs {lpSolveAPI} | R Documentation |
Retrieve the sensitivity of the constraints from a successfully solved lpSolve linear program model object.
get.sensitivity.rhs(lprec)
lprec |
an lpSolve linear program model object. |
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. |
Kjell Konis kjell.konis@epfl.ch
http://lpsolve.sourceforge.net/5.5/index.htm
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)