Overview

In this session, you will learn about the different tools available for optimization in MATLAB. We demonstrate how you can use Optimization Toolbox™ and Global Optimization Toolbox to solve a wide variety of optimization problems.

You will learn best practices for setting up and solving optimization problems, as well as how to speed up optimizations with parallel computing.

Topics covered include:

Solving linear, nonlinear, and mixed-integer optimization problems in MATLAB
Finding better solutions to multiple minima and non-smooth problems using global optimization
Using symbolic math for setting up problems and automatically calculating gradients
Using parallel computing to speed up optimization problems

About the Presenter

Loren Shure

Loren has worked at MathWorks for over 30 years. For the first 27 of these years, Loren co-authored several MathWorks products in addition to adding core functionality to MATLAB, including major contributions to the design of the MATLAB language. She is currently part of the Application Engineering team, enabling Loren to spend more time and energy working with customers.

For more than 10 years, traveling worldwide over half of each year, Loren delivers more than 150 technical, strategic, and vision-setting presentations yearly to audiences ranging from hands-on problem solvers through high-level executives.

Loren graduated from MIT with a B.Sc. in physics and has a Ph.D. in marine geophysics from the University of California, San Diego, Scripps Institution of Oceanography. She is a Senior Member of IEEE; and she is co-author on several patent inventions. Loren writes about MATLAB on her blog, The Art of MATLAB.

Overview

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About the Presenter

Loren Shure