Best Practices for Optimisation in MATLAB
Get started using MATLAB® optimisation tools to improve your designs and make better business decisions. Discover the new mixed-integer linear programming capabilities and the latest performance enhancements. Using a logistics example, Jasmina demonstrates best practices for setting up and solving optimisation problems. You will learn how to:
- Solve linear, nonlinear, and mixed-integer optimisation problems
- Tune solver options to increase performance
- Use parallel computing to run your optimisations faster
Recorded: 7 Oct 2014
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