MindOpt
0.25.0
Contents:
1. Quick start
2. Overview
2.1. Introduction
2.2. Changelog
2.2.1. MindOpt 0.25.0
2.2.2. MindOpt 0.24.1
2.2.3. MindOpt 0.24.0
2.2.4. MindOpt 0.23.1
2.2.5. MindOpt 0.23.0
2.2.6. Previous versions
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
2.3.7. Cereal
2.3.8. CURL
2.3.9. TFlite
3. Installation
3.1. Supported platforms
3.2. Folder structure
3.3. Download
MindOpt
3.4. Installation instructions
3.4.1. Installation on Windows
3.4.2. Installation on Linux
3.4.3. Installation on OSX
3.5. License settings
3.5.1. Obtain License
3.5.2. Installation on Windows
3.5.3. Installation on Linux
3.5.4. Installation on OSX
4. Call methods
4.1. Commandline interface
4.1.1. Brief description
4.1.2. Example
4.1.3. Input file format: mps/lp/dat-s
4.1.4. Input parameters
4.1.5. Sanitize Model Files
4.2. Using C language
4.2.1. Brief description
4.2.2. Windows
4.2.3. Linux
4.2.4. OSX
4.2.5. C compilation example: MdoMps
4.3. Using C++
4.3.1. Brief description
4.3.2. Windows
4.3.3. Linux
4.3.4. OSX
4.3.5. C++ compilation example: MdoMps
4.4. Using Python
4.4.1. Brief description
4.4.2. Install
MindOpt
Python from the complete installation package
4.4.3. pip install
MindOpt
Python package
4.4.4. Python compilation example: mdo_mps
4.5. Using Java
5. Modeling and Optimization
5.1. Linear Programming (LP)
5.1.1. Modeling for linear programming
5.1.2. Modeling and optimization in C
5.1.3. Modeling and optimization in C++
5.1.4. Modeling and optimization in Python
5.2. Mixed Integer Linear Programming (MILP)
5.2.1. 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 Python
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 Python
5.4. Semidefinite Programming (SDP)
5.4.1. Semidefinite Programming Modeling
5.4.2. Examples of SDP Problems
5.4.3. SDP modeling and optimization in C language
5.4.4. SDP modeling and optimization in C++ language
5.4.5. SDP modeling and optimization in Python language
5.5. Analysis of constraint conflicts
5.5.1. C API: Mdo_computeIIS
5.5.2. C++ APIļ¼computeIIS
5.5.3. Python API: compute_iis
6. Use Modeling Languages
6.1. Modeling and optimization in AMPL
6.1.1. Verify mindoptampl
6.1.2. Install AMPL
6.1.3. Parameters and return values of AMPL API
6.1.4. Example of calling MindOpt by AMPL
6.2. Modeling and optimization by Pyomo
6.2.1. Install Pyomo
6.2.2. Call the Pyomo API document
6.2.3. Modeling example: mdo_pyomo_lo_ex1
6.3. Modeling and optimization in PuLP
6.3.1. Install PuLP
6.3.2. Call the PuLP API
6.3.3. Modeling example: mdo_pulp_lo_ex1
6.4. MindOpt APL
7. Remote computing service
7.1. C/S architecture
7.2. Deployment and installation
7.2.1. Download and install the client SDK
7.2.2. Deploy the compute server
7.2.3. Web verification
7.3. Operation and Maintenance
7.3.1. Restart the compute server
7.3.2. Clear disk data
7.4. C/S API calls
7.5. Example: C program
7.5.1. Upload a model
7.5.2. Obtain the result
7.6. Example: C++ program
7.6.1. Upload a model
7.6.2. Obtain the result
7.7. Example: Python program
7.7.1. Upload a model
7.7.2. Obtain the result
7.8. Modeling in a client program
7.9. Operations on the web page of the server
7.9.1. Access and logon
7.9.2. Workbench
7.9.3. Job list
7.9.4. Downloads list
8. API Reference
8.1. C API
8.1.1. Environment management
8.1.2. Model management
8.1.3. IO management
8.1.4. Attribute management
8.1.5. Parameter management
8.1.6. Solution management
8.2. C++ API
8.2.1. MdoCol
8.2.2. MdoCons
8.2.3. MdoEnv
8.2.4. MdoException
8.2.5. MdoExpr
8.2.6. MdoExprLinear
8.2.7. MdoModel
8.2.8. MdoVar
8.3. Python API
8.3.1. MdoCol
8.3.2. MdoCons
8.3.3. MdoEnv
8.3.4. MdoException
8.3.5. MdoExpr
8.3.6. MdoExprLinear
8.3.7. MdoModel
8.3.8. MdoVar
8.3.9. quicksum
8.4. Java API
8.5. Definitions
8.5.1. Data types in C/C++
8.5.2. Result Code
8.5.3. Solution code
8.5.4. Alias of Attributes
8.5.5. Constants
8.6. Optional input parameters
8.6.1. Integer parameters
8.6.2. Real-number parameters
8.6.3. String parameters
8.7. Attributes during modeling and solving
8.7.1. Model attributes
8.7.2. Solution attributes
8.7.3. Simplex method attributes
8.7.4. IPM attributes
9. Contact us
MindOpt
»
8.
API Reference
»
8.1.
C API
8.1.
C API
Ā¶
This section provides
MindOpt
C-API reference. Contents of the C-API are the following:
8.1.1. Environment management
8.1.2. Model management
8.1.3. IO management
8.1.4. Attribute management
8.1.5. Parameter management
8.1.6. Solution management