Videos and Webinars

Description
Related Resources

Best Practices for Optimisation in MATLAB

Jasmina Lazic, MathWorks

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

Related Products

MATLAB

Learn More

Code covered by the MathWorks Limited License

Related Information

Featured Product

MATLAB

Up Next:

See best practices for creating and calibrating models, performing simulations, and optimizing code for performance using MATLAB through an example Monte Carlo simulation of interest rate models for counterparty credit risk analysis.

Calibration and Simulation Best Practices: Multifactor...

Related Videos:

This presentation discusses how Simulink Design Verifier is used to generate controlled and optimized test cases with maximum structural coverage.

Best Practices and Lessons Learned During Test Case...

Engineers integrate MATLAB and Simulink as part of their design process for hardware-in-the-loop testing, where a predictive controller is implemented in real-time on an FPGA target.

Imperial College London Codesigns Optimisation-Based...

Marco Roggero and Christoph Hahn, of MathWorks, explain how MATLAB and Simulink can assist in the development of an advanced driver assistance system. They will cover lane tracking, adaptive cruise control, and sensor fusion.

Developing Algorithms for ADAS Systems with MATLAB and...

This session provides a quick introduction on using MATLAB to control LEGO MINDSTORMS NXT robots.

MATLAB Meets MINDSTORMS: How to Control LEGO NXT Robots...

View more related videos