Welcome to ilpy’s documentation!

ilpy is a Python library that provides unified wrappers for popular Integer Linear Programming (ILP) solvers such as Gurobi and SCIP. It offers a consistent API that abstracts away the differences between solver implementations.

With ilpy, you can:

• Define linear and quadratic optimization problems using a simple, intuitive syntax

• Express constraints using natural Python expressions

• Switch between different solver backends (currently Gurobi and SCIP)

• Monitor solver progress through callback events

• Support for continuous, binary, and integer variables

Contents:

• API Reference
  • Constraint
  • Constraints
  • Expression
  • Objective
  • Preference
  • Relation
  • Sense
  • Solution
  • Solver
  • SolverBackend
  • SolverStatus
  • Variable
  • VariableType
  • solve()

Indices and tables

• Index

• Module Index

• Search Page