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: http://www.jeannot.org/~js/code/pulp-1.1.tgz
The latest version is always available at: http://www.jeannot.org/~js/code/index.en.html
Multiple examples are provided.
Thanks,
Jean-Sebastien
References: [1] http://www.gnu.org/software/glpk/glpk.html [2] http://www.coin-or.org/ [3] http://www.cplex.com/ [4] http://www.dashoptimization.com/
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
GLPK().solve(prob)
# Solution for v in prob.variables(): print v.name, "=", v.varValue
print "objective=", value(prob.objective)
_______________________________________________ Help-glpk mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-glpk
