Global Optimization with MATLAB Products

Engineers, scientists, and financial analysts use optimization to find better solutions to their problems. This webinar will present MathWorks global optimization solutions for finding the best solution, or multiple good solutions, to problems that contain multiple maxima or minima, including problems that are nonsmooth or discontinuous. Product demonstrations will illustrate how you can use global search, genetic algorithm, simulated annealing, or direct search solvers to solve challenging real-world problems. Improving optimization execution speed using parallel computing will also be discussed.

This is an introductory webinar, and requires no previous knowledge of MATLAB.

View MATLAB code from this webinar at MATLAB Central

About the Presenter: Stuart Kozola is a product marketing manager at MathWorks and focuses on MATLAB and add-on products for data analysis, optimization, and symbolic math.  Prior to joining MathWorks in 2006, Stuart worked at Pratt & Whitney (United Technologies) as a design engineer working on combustion systems for gas turbine engines.  Stuart earned a B.S. in Chemical Engineering from the University of Wyoming, M.S. in Chemical Engineering from Arizona State University, M.S. in Electrical Engineering from Rensselaer Polytechnic Institute, and an M.B.A. from Carnegie Mellon University.