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[Help-glpk] PuLP 1.1: A Python Linear Programming modeler

From: Jean-Sebastien Roy
Subject: [Help-glpk] PuLP 1.1: A Python Linear Programming modeler
Date: Thu, 05 May 2005 11:48:15 +0200
User-agent: Mozilla Thunderbird 1.0.2 (X11/20050325)

I would like to announce the release of PuLP v 1.1.

PuLP is an LP modeler written in python. PuLP can generate MPS or LP
files and call GLPK[1], COIN CLP/SBB[2], CPLEX[3] and XPRESS[4] to solve linear problems.

PuLP provides a nice syntax for the creation of linear problems, and a
simple way to call the solvers to perform the optimization. See the example below.

This version adds C modules to use the GLPK, COIN and CPLEX solvers without using intermediate MPS or LP files. It is faster and more reliable.

While distribution of C sources is not a problem under Unix where a compiler is almost always available, it is a problem under Windows, so I would like to provide compiled modules for this platform. The problem is, I do not have access to a computer running Windows (much less Visual C++). Would someone be interested in compiling and testing these modules under Windows ?

You can get it at:

The latest version is always available at:

Multiple examples are provided.




Example script:

from pulp import *

prob = LpProblem("test1", LpMinimize)

# Variables
x = LpVariable("x", 0, 4)
y = LpVariable("y", -1, 1)
z = LpVariable("z", 0)

# Objective
prob += x + 4*y + 9*z

# Constraints
prob += x+y <= 5
prob += x+z >= 10
prob += -y+z == 7


# Solution
for v in prob.variables():
   print, "=", v.varValue

print "objective=", value(prob.objective)

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