![]() | |||||||||||||
| |||||||||||||
Using indicators Description Construct a problem from scratch with variables of various types. Adds indicator constraints and
shows how to retrieve such data once it has been added to the problem using the API functions Further explanation of this example: 'Xpress Python Reference Manual'
Source Files By clicking on a file name, a preview is opened at the bottom of this page.
example_indicators.py # Construct a problem from scratch with variables of various # types. Adds indicator constraints and shows how to retrieve # such data once it has been added to the problem using the # API functions. # # (C) Fair Isaac Corp., 1983-2025 import xpress as xp m = xp.problem() m.controls.miprelstop = 0 # All variables used in this example v1 = m.addVariable(lb=0, ub=10, vartype=xp.continuous) v2 = m.addVariable(lb=1, ub=7, vartype=xp.continuous) v3 = m.addVariable(lb=5, ub=10, threshold=7, vartype=xp.semicontinuous) vb = m.addVariable(vartype=xp.binary) # Indicator constraints consist of a tuple with a condition on a # binary variable and a constraint ind1 = (vb == 0, v1 + v2 >= 6) ind2 = (vb == 1, v1 + v3 >= 4) # Adds the first indicator constraint m.addIndicator(ind1) # Adds another indicator constraint and the second one defined above m.addIndicator((vb == 1, v2 + v3 >= 5), ind2) ind_inds = [] ind_flags = [] # Returns the indicator constraint condition (indicator variable and complement flag) associated to the rows in a given range m.getindicators(ind_inds, ind_flags, 0, 2) print("Indicator variables and flags: ", ind_inds, ind_flags) m.setObjective(xp.Sum(v1,v2,v3)) m.optimize() print("v1: ", m.getSolution(v1), ", v2: ", m.getSolution(v2), "; sol vector: ", m.getSolution(), "; obj: ", m.attributes.objval, sep="") # default separator between strings is " "
| |||||||||||||
© Copyright 2025 Fair Isaac Corporation. |