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Contents

  • Welcome
  • Decision Optimization on Cloud
    • Get Started
    • How to get API Key and Base URL
    • How to see your jobs and usage history
    • Pricing Plans and Free Trial
  • Decision Optimization in Watson Studio
  • DOcplexcloud APIs
    • Java API
      • Java Example
      • Javadoc
      • Java Library
      • Streaming Data in Java
    • Python API
      • Python Example
      • Python Reference
    • REST API
      • REST Example
      • REST Reference
      • Curl Commands
    • Node.js API
      • Node.js Example
      • Node.js Reference
    • R API
      • R Example
      • R Reference
    • Input and Output Files
    • Job Parameters
    • Job Status
    • Streaming Data
    • OPL Data Format
  • Optimization Modeling
    • Linear Programming
    • Constraint Programming
    • CPLEX Optimization Studio CE
    • DOcplex Modeling for Python

Optimization Modeling

December 7, 2015

In order to solve an optimization problem, you first need to model it. There are many ways to model a problem, from working directly in text files to using a specialized model development environment. This section presents two approaches to modeling:

  • DOcplex modeling for Python is a comprehensive library that helps you add the power of optimization to your applications.
  • CPLEX® Optimization Studio Community Edition is a full-featured dedicated environment for writing, testing, debugging, and tuning optimization models.
  • Linear Programming
  • Constraint Programming
  • CPLEX Optimization Studio CE
  • DOcplex Modeling for Python
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