Mixed-Integer Linear Programming in MATLAB
Learn how to use the problem-based approach for specifying and solving linear and mixed-integer linear optimization problems in MATLAB. This approach greatly simplifies setting up and running your linear programming (LP) or mixed-integer linear programing (MILP) problems. These problems are commonly encountered in finance, energy, logistics, supply chain and operations research.
Highlights:
- Introduction to LP and MILP problems and algorithms
- Setting up and solving LP and MILP problems
- Tuning the solver for your application
- Using LP and MILP in deployed applications
About the Presenter:
Mary Fenelon is product marketing manager for the MATLAB optimization products. Prior to joining MathWorks, Mary worked as a developer and development manager for optimization software. She earned a PhD in Operations Research at Stanford University.
Recorded: 16 Nov 2017
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