Python-MIP

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Documentation

Contents:

  • Introduction
  • Installation
  • Quick start
  • Modeling Examples
  • Special Ordered Sets
  • Developing Customized Branch-&-Cut algorithms
  • Benchmarks
  • External Documentation/Examples
  • Classes

Python MIP Documentation¶

Contents:

  • Introduction
    • Acknowledgments
  • Installation
    • Gurobi Installation and Configuration (optional)
    • Pypy installation (optional)
    • Using your own CBC binaries (optional)
  • Quick start
    • Creating Models
      • Variables
      • Constraints
      • Objective Function
    • Saving, Loading and Checking Model Properties
    • Optimizing and Querying Optimization Results
      • Performance Tuning
  • Modeling Examples
    • The 0/1 Knapsack Problem
    • The Traveling Salesman Problem
    • n-Queens
    • Frequency Assignment
    • Resource Constrained Project Scheduling
    • Job Shop Scheduling Problem
    • Cutting Stock / One-dimensional Bin Packing Problem
    • Two-Dimensional Level Packing
    • Plant Location with Non-Linear Costs
  • Special Ordered Sets
  • Developing Customized Branch-&-Cut algorithms
    • Cutting Planes
    • Cut Callback
    • Lazy Constraints
    • Providing initial feasible solutions
  • Benchmarks
    • n-Queens
  • External Documentation/Examples
  • Classes
    • Model
    • LinExpr
    • LinExprTensor
    • Var
    • Constr
    • Column
    • ConflictGraph
    • VarList
    • ConstrList
    • ConstrsGenerator
    • IncumbentUpdater
    • CutType
    • CutPool
    • OptimizationStatus
    • SearchEmphasis
    • LP_Method
    • ProgressLog
    • Exceptions
    • Useful functions
Departament of Computing |  ICEB  |  Federal University of Ouro Preto
Campus Universitário Morro do Cruzeiro  |  CEP 35400-000  | Ouro Preto - MG, Brazil

Python-MIP