conv_opt
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  • 1. Installation
  • 2. Features
  • 3. Tutorial
  • 4. Testing
  • 5. About
  • 6. References
conv_opt
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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. About
    • 5.1. License
    • 5.2. Development team
    • 5.3. Acknowledgements
    • 5.4. Questions and comments
  • 6. References
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© Copyright 2020, Karr Lab Revision ad7fda40.

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