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problem.getSlack

Purpose
Return the slack for one or more constraints of the problem w.r.t. the solution found by solve(). This function works both with continuous and mixed-integer optimization problems.
Synopsis
s = problem.getSlack(*constraints)
Arguments
constraints 
(optional) constraint objects whose slacks will be returned. If none is provided, a list of slacks for all constraints in the problem will be returned.
s 
A list of slack values if *constraints contains more than one constraint object, a single slack value otherwise.
Example 
import xpress as xp
import numpy as np
x = xp.vars(10)
A = np.random.random((5,10))
b = np.random.random(5)
constr = xp.Dot(A,x) >= b
p = xp.problem(x, constr, xp.Sum(x))
p.solve()
print("slack of 2nd and 3rd constraint:", p.getSlack(constr[1], constr[2]))
print("slack of first three constraints:", p.getSlack(constr[:3]))
Related topics
problem.solve, problem.getlpsol, problem.getmipsol, problem.getSolution, problem.getDual, problem.getRCost, problem.getProbStatus, problem.getProbStatusString.

Parent Topic Xpress problem methods

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