Optimization Direct at INFORMS, Phoenix, AZ 2-3 November, 2018

Technology Tutorial at INFORMS

A DOCplex and ODH|CPLEX python primer

This short tutorial shows participants how to build a basic model using the DOCplex API in python. This session includes setting the python environment, reading data from a csv or spreadsheet, creating variables, objective functions, constraints, solving the model, and returning the results. Additionally this session points the participants to further reading so that they may expand their capabilities. Furthermore we will present the brand new ODH|CPLEX API for python, which improves solution times for large models.
Slides: PDF | PPT | Python code .zip

Technology workshop at INFORMS

Watson Studio and CPLEX: Overview of Watson Studio for advanced modeling and optimization / Latest developments/results in CPLEX and ODH+CPLEX

Organizations are increasingly hiring data scientists with open source skills. Find out how to leverage the capabilities of Watson Studio to work with open source tools like R, Python, Spark, as well as integration with CPLEX and Weather Company data. Come and learn how Watson integrates with Open Source tools to enable clients to get the best of both worlds (open source programming and the modeler GUI for those who prefer not to code). We will also review the latest developments/results in CPLEX Optimization Studio and the new ODH+CPLEX.

/ Alkiviadis Vazacopoulos: Introduction to Watson Studio and Recent Case Studies
Slides: PDF | PPT
/ Ed Klotz, IBM: Identification, Assessment and Correction of Ill-Conditioning and Numerical Instability in Linear and Integer Programs
Slides: PDF
/ Joshua Woodruff, Optimized Financial Systems: Leveraging python packages to improve model-building performance
Slides: PDF | PPT
/ Robert Ashford: Recent benchmarking results with ODH|CPLEX
Slides: PDF | PPT

Technology Tutorial details | Informs pre-meeting events.