passagemath-polyhedra 10.4.17

passagemath: Convex polyhedra in arbitrary dimension, mixed integer linear optimization

About SageMath

“Creating a Viable Open Source Alternative to

Magma, Maple, Mathematica, and MATLAB”

Copyright (C) 2005-2024 The Sage Development Team

https://www.sagemath.org

SageMath fully supports all major Linux distributions, recent versions of macOS, and Windows (Windows Subsystem for Linux).

See https://doc.sagemath.org/html/en/installation/index.html for general installation instructions.

About this pip-installable source distribution

This pip-installable source distribution sagemath-polyhedra is a distribution of a part of the Sage Library. It provides a small subset of the modules of the Sage library (“sagelib”, sagemath-standard), sufficient for computations with convex polyhedra in arbitrary dimension (in exact rational arithmetic), and linear and mixed integer linear optimization (in floating point arithmetic).

What is included

• Combinatorial and Discrete Geometry: Polyhedra, lattice polyhedra, lattice points in polyhedra, triangulations, fans, polyhedral complexes, hyperplane arrrangements

• Parma Polyhedra Library (PPL) backends for rational polyhedra, lattice polygons, lattice polytopes; via pplpy

• Python backend for polyhedra over general ordered fields

• Linear, Mixed Integer Linear, and Semidefinite Optimization frontends

• GNU Linear Programming Kit (GLPK) backend for large-scale linear and mixed integer linear optimization (floating point arithmetic)

• Interactive Simplex Method

Available as extras, from other distributions

Additional features:

pip install “sagemath-polyhedra[graphs]”

Face lattices, combinatorial polyhedra, graph-theoretic constructions

pip install “sagemath-polyhedra[groups]”

Constructing symmetric polyhedra, computing automorphisms, lattice point counting modulo group actions

pip install “sagemath-polyhedra[toric]”

Toric Varieties

Other backends for polyhedral computations can be installed:

pip install “sagemath-polyhedra[normaliz]”

Normaliz, via PyNormaliz

pip install “sagemath-polyhedra[polymake]”

Polymake, via JuPyMake

sagemath-polyhedra also provides integration with other packages for additional functionality:

• LattE integrale

• lrslib

Optional backends for optimization:

pip install “sagemath-polyhedra[cbc]”

COIN/OR CBC Mixed Integer Linear Optimization solver, via sage_numerical_backends_coin

pip install “sagemath-polyhedra[cplex]”

CPLEX Mixed Integer Optimization solver (proprietary; requires licensed installation), via sage_numerical_backends_cplex

pip install “sagemath-polyhedra[cvxpy]”

CVXPy as middle-end for various backends

pip install “sagemath-polyhedra[gurobi]”

Gurobi Mixed Integer Optimization solver (proprietary; requires licensed installation), via sage_numerical_backends_gurobi

pip install “sagemath-polyhedra[scip]”

SCIP Mixed Integer Optimization solver, via PySCIPOpt