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 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 Demo files: https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/company/events/post-event-email/3229065-Presentation.zip Check out these other great resources: * See if your school has a MATLAB campus license: https://www.mathworks.com/academia/tah-support-program/eligibility.html?s_eid=PSM_15028_ls_8_cl * Get a free product trial: https://www.mathworks.com/campaigns/products/trials.html?s_eid=PSM_15028_ls_8_trial * MATLAB EXPO 2020 On Demand: https://www.matlabexpo.com/online.html?s_eid=PSM_15028_ls_8_expo * Join the Simulink Student Challenge: https://www.mathworks.com/academia/student-challenge/simulink-student-challenge-2020.html?s_eid=PSM_15028_ls_8_ssc * Learn more about MATLAB: https://www.mathworks.com/products/matlab.html?s_eid=PSM_15028_ls_8_ml * Learn more about Simulink: https://www.mathworks.com/products/simulink.html?s_eid=PSM_15028_ls_8_sl * See what's new in MATLAB and Simulink: https://www.mathworks.com/products/new_products/latest_features.html?s_eid=PSM_15028_ls_8_lf