conv_opt documentation

conv_opt is a high-level Python package for solving linear and quadratic optimization problems using multiple open-source and commercials solvers including Cbc, CVXOPT, FICO XPRESS Optimizer, GLPK, Gurobi, IBM CPLEX, MINOS, MOSEK Optimizer, quadprog, SciPy, and SoPlex.

Contents

• 1. Installation
  • 1.1. Requirements
  • 1.2. Optional requirements
  • 1.3. Installing this package
• 2. Features
  • 2.1. Problems
  • 2.2. Objectives
  • 2.3. Variable types
  • 2.4. Constraints
  • 2.5. Solvers
    • 2.5.1. Objective types
    • 2.5.2. Variable types
    • 2.5.3. Constraint types
    • 2.5.4. Python versions
    • 2.5.5. Licensing
• 3. Tutorial
• 4. Testing
• 5. API documentation
  • 5.1. Subpackages
    • 5.1.1. conv_opt.solver package
  • 5.2. Submodules
  • 5.3. conv_opt._version module
  • 5.4. conv_opt.core module
  • 5.5. Module contents
• 6. About
  • 6.1. License
  • 6.2. Development team
  • 6.3. Acknowledgements
  • 6.4. Questions and comments
• 7. References