Skip to main content

PuLP is an LP modeler written in python. PuLP can generate MPS or LP filesand call GLPK, COIN CLP/CBC, CPLEX, and GUROBI to solve linearproblems.

Project description

# Copyright J.S. Roy (js@jeannot.org), 2003-2005 # Copyright Stuart A. Mitchell (stu@stuartmitchell.com) # See the LICENSE file for copyright information.

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

See the examples directory for examples.

PuLP requires Python >= 2.5.

The examples require at least a solver in your PATH or a shared library file.

Documentation is found on https://www.coin-or.org/PuLP/. A comprehensive wiki can be found at https://www.coin-or.org/PuLP/

Use LpVariable() to create new variables. To create a variable 0 <= x <= 3 >>> x = LpVariable(“x”, 0, 3)

To create a variable 0 <= y <= 1 >>> y = LpVariable(“y”, 0, 1)

Use LpProblem() to create new problems. Create “myProblem” >>> prob = LpProblem(“myProblem”, LpMinimize)

Combine variables to create expressions and constraints and add them to the problem. >>> prob += x + y <= 2

If you add an expression (not a constraint), it will become the objective. >>> prob += -4*x + y

Choose a solver and solve the problem. ex: >>> status = prob.solve(GLPK(msg = 0))

Display the status of the solution >>> LpStatus[status] ‘Optimal’

You can get the value of the variables using value(). ex: >>> value(x) 2.0

Exported Classes:
  • LpProblem – Container class for a Linear programming problem
  • LpVariable – Variables that are added to constraints in the LP
  • LpConstraint – A constraint of the general form a1x1+a2x2 …anxn (<=, =, >=) b
  • LpConstraintVar – Used to construct a column of the model in column-wise modelling
Exported Functions:
  • value() – Finds the value of a variable or expression
  • lpSum() – given a list of the form [a1*x1, a2x2, …, anxn] will construct a linear expression to be used as a constraint or variable
  • lpDot() –given two lists of the form [a1, a2, …, an] and [ x1, x2, …, xn] will construct a linear epression to be used as a constraint or variable

Comments, bug reports, patches and suggestions are welcome. pulp-or-discuss@googlegroups.com

References: [1] http://www.gnu.org/software/glpk/glpk.html [2] http://www.coin-or.org/ [3] http://www.cplex.com/ [4] http://www.gurobi.com/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for PuLP, version 1.5.2
Filename, size File type Python version Upload date Hashes
Filename, size PuLP-1.5.2.tar.gz (7.1 MB) File type Source Python version None Upload date Hashes View hashes
Filename, size PuLP-1.5.2.zip (7.1 MB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page