MindOpt
2.0.0

Contents:

  • 1. Introduction
  • 2. Overview
    • 2.1. Description
      • 2.1.1. Overview of Solving Capabilities
      • 2.1.2. Platform Usage and Acquisition of the Solver
      • 2.1.3. Interaction and Invocation of the Solver
      • 2.1.4. Modeling Tools
      • 2.1.5. Advanced Modeling Techniques
    • 2.2. Change Log
      • 2.2.1. V2.0.0
      • 2.2.2. V1.3.0
      • 2.2.3. V1.2.1
      • 2.2.4. V1.2.0
      • 2.2.5. V1.1.0
      • 2.2.6. V1.0.1
      • 2.2.7. V1.0.0
      • 2.2.8. V0.25.0
      • 2.2.9. V0.24.1
      • 2.2.10. V0.24.0
      • 2.2.11. V0.23.1
      • 2.2.12. V0.23.0
      • 2.2.13. Previous version
    • 2.3. License Agreement
      • 2.3.1. MindOpt Solver
      • 2.3.2. ZLIB
      • 2.3.3. BZLIB2
      • 2.3.4. Intel MKL
      • 2.3.5. Sphinx
      • 2.3.6. JSON for C++
      • 2.3.7. Cereal
      • 2.3.8. CURL
      • 2.3.9. TFlite
  • 3. Software Installation
    • 3.1. Supported Platforms
    • 3.2. Installer Download
    • 3.3. Installation Instructions
      • 3.3.1. Windows Platform
      • 3.3.2. Linux Platform
      • 3.3.3. macOS Platform
    • 3.4. Directory Structure
    • 3.5. License Setup
      • 3.5.1. License Acquisition
      • 3.5.2. License Configuration
      • 3.5.3. Windows Platform
      • 3.5.4. Linux & macOS Platforms
  • 4. Command-Line & API
    • 4.1. Command Line
      • 4.1.1. Brief Description
      • 4.1.2. An Example
      • 4.1.3. Input File Format
      • 4.1.4. Parameter Settings
      • 4.1.5. Data Desensitization
    • 4.2. Call MindOpt with C
      • 4.2.1. Edit .c File
      • 4.2.2. Compile on Linux Platform
      • 4.2.3. Compile on macOS Platform
      • 4.2.4. Compile on Windows Platform
    • 4.3. Call MindOpt with C++
      • 4.3.1. Edit .cpp File
      • 4.3.2. Compile on Linux Platform
      • 4.3.3. Compile on macOS Platform
      • 4.3.4. Compile on Windows Platform
    • 4.4. Call MindOpt with Python
      • 4.4.1. Install mindoptpy Library
      • 4.4.2. Edit .py File
      • 4.4.3. Execution on Windows Platform
      • 4.4.4. Execution on Linux and macOS
    • 4.5. Call MindOpt with JAVA
      • 4.5.1. Edit .java File
      • 4.5.2. Compile on Linux and macOS Platforms
      • 4.5.3. Compile on Windows Platform
    • 4.6. Call MindOpt with C#
      • 4.6.1. Edit .cs File
      • 4.6.2. Compile on Linux and macOS Platforms
      • 4.6.3. Compile on Windows Platform
    • 4.7. Call MindOpt with MATLAB
      • 4.7.1. Edit .m File
      • 4.7.2. Execution on Linux
      • 4.7.3. Execution on macOS
      • 4.7.4. Execution on Windows
  • 5. Modeling and Optimization
    • 5.1. Linear Programming (LP)
      • 5.1.1. Modeling for Linear Programming
      • 5.1.2. LP Modeling and Optimization in C
      • 5.1.3. LP Modeling and Optimization in C++
      • 5.1.4. LP Modeling and Optimization in JAVA
      • 5.1.5. LP Modeling and Optimization in Python
      • 5.1.6. LP Modeling and Optimization in C#
    • 5.2. Mixed-Integer Linear Programming (MILP)
      • 5.2.1. Modeling for Mixed-Integer Linear Programming
      • 5.2.2. MILP Modeling and Optimization in C
      • 5.2.3. MILP Modeling and Optimization in C++
      • 5.2.4. MILP Modeling and Optimization in JAVA
      • 5.2.5. MILP Modeling and Optimization in Python
      • 5.2.6. MILP Modeling and Optimization in C#
      • 5.2.7. MILP Warmstart
      • 5.2.8. General Constraints in MILP
      • 5.2.9. MILP Solution Pool
    • 5.3. Quadratic Programming (QP)
      • 5.3.1. Modeling for Quadratic Programming
      • 5.3.2. QP Modeling and Optimization in C
      • 5.3.3. QP Modeling and Optimization in C++
      • 5.3.4. QP Modeling and Optimization in JAVA
      • 5.3.5. QP Modeling and Optimization in Python
      • 5.3.6. QP Modeling and Optimization in C#
    • 5.4. Quadratically Constrained Programming (QCP)
      • 5.4.1. Modeling for Quadratically Constrained Programming
      • 5.4.2. QCP Modeling and Optimization in C
      • 5.4.3. QCP Modeling and Optimization in C++
      • 5.4.4. QCP Modeling and Optimization in Python
      • 5.4.5. QCP Modeling and Optimization in Java
      • 5.4.6. QCP Modeling and Optimization in C#
    • 5.5. Mixed Integer Quadratic Programming (MIQP)
      • 5.5.1. Modeling for Mixed Integer Quadratic Programming
      • 5.5.2. MIQP Modeling and Optimization in C
      • 5.5.3. MIQP Modeling and Optimization in C++
      • 5.5.4. MIQP Modeling and Optimization in Python
      • 5.5.5. MIQP Modeling and Optimization in JAVA
      • 5.5.6. MIQP Modeling and Optimization in C#
    • 5.6. Mixed-Integer Quadratically Constrained Programming (MIQCP)
      • 5.6.1. Modeling for Mixed Integer Quadratically Constrained Programming
      • 5.6.2. MIQCP Modeling and Optimization in C
      • 5.6.3. MIQCP Modeling and Optimization in C++
      • 5.6.4. MIQCP Modeling and Optimization in Python
      • 5.6.5. MIQCP Modeling and Optimization in Java
      • 5.6.6. MIQCP Modeling and Optimization in C#
    • 5.7. Semi-Definite Programming (SDP)
      • 5.7.1. Modeling for Semi-Definite Programming
      • 5.7.2. SDP Modeling and Optimization in C
      • 5.7.3. SDP Modeling and Optimization in C++
      • 5.7.4. SDP Modeling and Optimization in JAVA
      • 5.7.5. SDP Modeling and Optimization in Python
      • 5.7.6. SDP Modeling and Optimization in C#
  • 6. Advanced Modeling Tools
    • 6.1. Irreducible Inconsistent Subsystem (IIS)
      • 6.1.1. IIS Computation in C
      • 6.1.2. IIS Computation in C++
      • 6.1.3. IIS Computation in Python
    • 6.2. Callback
      • 6.2.1. Callback API
      • 6.2.2. Callback Code
      • 6.2.3. Callback SDK
      • 6.2.4. Example
  • 7. Modeling Languages for MindOpt
    • 7.1. MindOpt APL
      • 7.1.1. Try MAPL Locally
      • 7.1.2. Try MAPL on the Cloud
      • 7.1.3. Set MindOpt Parameters with MAPL
      • 7.1.4. An Example of MAPL
    • 7.2. AMPL
      • 7.2.1. Install mindoptampl
      • 7.2.2. Install AMPL
      • 7.2.3. Parameters and Return Values
      • 7.2.4. An Example of AMPL Calling MindOpt
    • 7.3. Pyomo
      • 7.3.1. Install Pyomo
      • 7.3.2. Pyomo Interface
      • 7.3.3. SOS Function
      • 7.3.4. Callback Function
      • 7.3.5. Modeling Example: mdo_pyomo_lo_ex1
    • 7.4. PuLP
      • 7.4.1. Install PuLP
      • 7.4.2. PuLP Interface
      • 7.4.3. Modeling Example: mdo_pulp_lo_ex1
    • 7.5. JuMP
      • 7.5.1. Install JuMP
      • 7.5.2. JuMP Interface
      • 7.5.3. Modeling Example: jump_lp_ex1
  • 8. API
    • 8.1. Attributes
      • 8.1.1. Model attributes
      • 8.1.2. Variable attributes
      • 8.1.3. Constraint attributes
      • 8.1.4. Quadratic constraint attributes
      • 8.1.5. General constraint attributes
      • 8.1.6. PSD variable attributes
      • 8.1.7. PSD constraint attributes
    • 8.2. Parameters
      • 8.2.1. Int parameters
      • 8.2.2. Double parameters
      • 8.2.3. String parameters
    • 8.3. Constants
      • 8.3.1. status
      • 8.3.2. errors
    • 8.4. C API
      • 8.4.1. Attribute Accessor
      • 8.4.2. Parameter Accessor
      • 8.4.3. Environment
      • 8.4.4. Model Operations
      • 8.4.5. Callback
      • 8.4.6. Examples
    • 8.5. C++ API
      • 8.5.1. MDOException
      • 8.5.2. MDOMatrix
      • 8.5.3. MDOVar
      • 8.5.4. MDOConstr
      • 8.5.5. MDOQConstr
      • 8.5.6. MDOSOS
      • 8.5.7. MDOGenConstr
      • 8.5.8. MDOPsdVar
      • 8.5.9. MDOPsdConstr
      • 8.5.10. MDOLinExpr
      • 8.5.11. MDOQuadExpr
      • 8.5.12. MDOPsdExpr
      • 8.5.13. MDOColumn
      • 8.5.14. MDOTempConstr
      • 8.5.15. MDOEnv
      • 8.5.16. MDOModel
      • 8.5.17. MDOCallback
      • 8.5.18. Examples
    • 8.6. Python API
      • 8.6.1. Global functions
      • 8.6.2. MindoptError
      • 8.6.3. tuplelist
      • 8.6.4. tupledict
      • 8.6.5. Var
      • 8.6.6. MVar
      • 8.6.7. PsdVar
      • 8.6.8. Constr
      • 8.6.9. QConstr
      • 8.6.10. SOS
      • 8.6.11. GenConstr
      • 8.6.12. MConstr
      • 8.6.13. MQConstr
      • 8.6.14. PsdConstr
      • 8.6.15. TempConstr
      • 8.6.16. Column
      • 8.6.17. LinExpr
      • 8.6.18. QuadExpr
      • 8.6.19. MLinExpr
      • 8.6.20. MQuadExpr
      • 8.6.21. PsdExpr
      • 8.6.22. Env
      • 8.6.23. Model
      • 8.6.24. Examples
    • 8.7. C# API
      • 8.7.1. MDOException
      • 8.7.2. MDOMatrix
      • 8.7.3. MDOEnv
      • 8.7.4. MDOPsdExpr
      • 8.7.5. MDOConstr
      • 8.7.6. MDOQConstr
      • 8.7.7. MDOSOS
      • 8.7.8. MDOGenConstr
      • 8.7.9. MDOPsdConstr
      • 8.7.10. MDOPsdVar
      • 8.7.11. MDOColumn
      • 8.7.12. MDOVar
      • 8.7.13. MDOModel
      • 8.7.14. MDOLinExpr
      • 8.7.15. MDOQuadExpr
      • 8.7.16. MDOCallback
      • 8.7.17. Examples
    • 8.8. MATLAB API
      • 8.8.1. MATLAB functions
      • 8.8.2. model
      • 8.8.3. Examples
    • 8.9. JAVA API
      • 8.9.1. MDOException
      • 8.9.2. MDOMatrix
      • 8.9.3. MDOEnv
      • 8.9.4. MDOPsdExpr
      • 8.9.5. MDOConstr
      • 8.9.6. MDOQConstr
      • 8.9.7. MDOSOS
      • 8.9.8. MDOGenConstr
      • 8.9.9. MDOPsdConstr
      • 8.9.10. MDOPsdVar
      • 8.9.11. MDOColumn
      • 8.9.12. MDOVar
      • 8.9.13. MDOModel
      • 8.9.14. MDOLinExpr
      • 8.9.15. MDOQuadExpr
      • 8.9.16. MDOCallback
      • 8.9.17. Examples
  • 9. Contact Us
MindOpt
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  • 5. Modeling and Optimization »
  • 5.6. Mixed-Integer Quadratically Constrained Programming (MIQCP)

5.6. Mixed-Integer Quadratically Constrained Programming (MIQCP)ΒΆ

In this chapter we discuss how to use MindOpt to model and solve mixed-integer quadratic (quadratically constrained) programs.

  • 5.6.1. Modeling for Mixed Integer Quadratically Constrained Programming
    • 5.6.1.1. Example of Mixed Integer Quadratically Constrained Programming
  • 5.6.2. MIQCP Modeling and Optimization in C
  • 5.6.3. MIQCP Modeling and Optimization in C++
  • 5.6.4. MIQCP Modeling and Optimization in Python
  • 5.6.5. MIQCP Modeling and Optimization in Java
  • 5.6.6. MIQCP Modeling and Optimization in C#
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