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Description:

ppulp 0.1.0

ppulp
P(retty)PuLP is an extension of PuLP, linear programming problem modeling tool.
You can use the basic features of pulp plus the following useful extensions to make modeling simpler.

Install
PyPI
pip install ppulp

GitHub
git clone https://github.com/nariaki3551/ppulp.git

Features

Variable product
If-then constraints
Absolute values
Piecewise linear approximation of nonlinear functions
Logical operations (And, Or, Xor)
Reduction (Sum, Prod)

Examples
Variables productions
# from pulp import *
from ppulp import *

# create variables
x = LpVariable("x", cat="Binary")
y = LpVariable("y", cat="Binary")

# create variable production
z = x * y

If-then constriant
from ppulp import *

x = LpVariable("x", lowBound=-1)
y = LpVariable("y", lowBound=-1)

prob = LpProblem(sense="Minimize")

# add if-then constraints
prob += (x <= 0) >> (y >= 0) # if (x <= 0) then (y >= 0)
prob += (y <= 0) >> (x >= 0) # if (y <= 0) then (x >= 0)

Absolution value
x = LpVariable("x")
y = LpVariable("y")
Abs(x+y)

Approximation of nonlinear functions
from ppulp import *
import math

x = LpVariable("x", lowBound=3)
y = LpVariable("y", lowBound=4)

# create non-linear function
f = PiecewiseLinear(math.log, xl=7, xu=100, num=3)

prob = LpProblem()
prob += f(x + y)
prob += f(x) >= 10

Reduction
from ppulp import *

x = [LpVariable(name=f"x{i}", ini_value=2) for i in range(5)]

# summation
lpSum(x)

# production
lpProd(x)