Contentsfiles used in the August 21, 2008 Webinar entitled "Tips and Tricks: Getting started using optimization with MATLAB". In that session, Stuart provides an overview of Optimization Toolbox and Global Optimization Toolbox with several examples, ranging from constrained curve fitting to general maximization problems. Stuart steps through a totally-cool illustrative example of maxima detection by attempting to locate the highest peak in a range of mountains. (Here, we can think of the topography as a analogy for an objective function.) File Exchange link to the files used in that Webinar. speeding up optimization problems, providing instruction for using the Parallel Computing Toolbox and MATLAB Distributed Computing Server to parallelize the calculation of optima. In this Webinar, Stuart minimizes the potential energy of electrons on a conducting body. He solves the optimization problem without the Parallel Computing Toolbox in about 84 seconds. Next, he opens a non-local 4-core cluster and re-solves the problem in parallel, simply by checking an "evaluate in parallel" checkbox. This time the same problem is solved in 25 seconds--approximately a 3.4x speedup. Not bad for checking a checkbox! Comments?
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