IDE Tutorials
The tutorials use examples from the product distribution to illustrate typical features and use cases of the CPLEX Studio IDE.
- About IDE tutorials
Gives the prerequisites for reading this document and outlines the structure. - Understanding solving statistics and progress (MP models)
Shows how the IDE displays a dynamically updated progress chart for a mixed integer programming (MIP) example that takes some time to solve. - Understanding solving statistics and progress (CP models)
Shows how the IDE displays a dynamically updated progress chart for a constraint programming example that takes a few seconds to solve. - Working with external data
Explains how to connect to data sources from OPL, based on the example of databases, and then provides two practical cases. - Using IBM ILOG Script for OPL
Scripting features are available in the IDE, including script debugging facilities. - Relaxing infeasible models
Uses the nurses example to demonstrate how the IDE detects conflicts and searches for relaxations in OPL models that appear infeasible after execution. - Profiling the execution of a model
Explains how the IDE Profiler table can help you improve your model to make it run faster while consuming less memory. - Working with the solution pool
Explains how to access a project solution pool in the IDE and how you can set options and define filters on solution pool generation. - Using the performance tuning tool
Describes how to improve the combination of parameters for the CPLEX part of an OPL model. - Using the CPLEX distributed MIP algorithm with OPL
You can use the distributed MIP algorithm to solve a standalone OPL model from the IDE, from the OPL APIs, or from OPLScript. - Solving OPL models on the cloud
IBM Decision Optimization on Cloud enables OPL models to be solved on the cloud.
Parent topic: CPLEX Studio IDE