PuLP 1.6.9

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

Modifications Copyright (c) 2007- Stuart Anthony Mitchell ([e-mail])

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Description: # pulp [](https://travis-ci.org/coin-or/pulp)

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.

## Installation

The easiest way to install pulp is via [PyPi](https://pypi.python.org/pypi/PuLP)

If pip is available on your system

$pip install pulp

Otherwise follow the download instructions on the PyPi page
On Linux and OSX systems the tests must be run to make the default
solver executable.

$sudo pulptest

## Examples

See the examples directory for examples.

PuLP requires Python >= 2.6.

The examples use the default solver (cbc), to use other solvers they must be available.

# Documentation
Documentation is found on https://pythonhosted.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

To solve with the default included solver

>>> status = prob.solve()

To use another sovler to solve the problem.

>>> 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.
[e-mail]

Copyright J.S. Roy ([e-mail]), 2003-2005
Copyright Stuart A. Mitchell ([e-mail])
See the LICENSE file for copyright information.

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/

Keywords: Optimization,Linear Programming,Operations Research
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Mathematics