Publisher's Synopsis
In MATLAB you can set up and run optimizations, including automated tradeoffs. There are standard routines available and also templates provided so you can write your own optimization routines. MATLAB offers numerous functions for optimization. MATLAB automatically runs optimizations in parallel if you have Parallel Computing Toolbox available. The optimization runs are then executed in parallel. This option can significantly reduce the computation time for larger problems where each run is taking a lot longer than the time it takes to send the problem to another computer. So we have a MATLAB application to big data. This book develops the following topics: - "Create and run Optimizations" - "Sum Optimizations" - "Multiobjective Optimizations" - "Modal Optimizations" - "MultiStart Optimizations" - "Objectives and Constraints" - "Edit Optimization Parameters" - "Optimization Analysis" - "Analyzing Point Optimization Output" - "Analyzing Modal Optimization Results" - "Analyzing MultiStart Optimization Results" - "Analyzing Multiobjective Optimization Results" - "Tools for Optimizations with Multiple Solutions" - "User-Defined Optimizations" - "Optimization Functions"
