Solving Optimization Problems with MATLAB (De Gruyter STEM)
Book information
Description
The book focused on solving equations and optimization problems with MATLAB. The topics on unconstrained optimization, linear and quadratic programming, nonlinear constrained optimization problems, mixed integer programming, multi-objective programming, dynamic programming and intelligent optimization methods are covered. With extensive exercises, the book sets up a new viewpoint for the readers in understanding linear algebra problems. Preface Contents 1. An introduction to equations and optimization problems 2. Solutions of algebraic equations 3. Unconstrained optimization problems 4. Linear and quadratic programming 5. Nonlinear programming 6. Mixed integer programming 7. Multiobjective programming 8. Dynamic programming and shortest paths 9. Introduction to intelligent optimization methods Bibliography MATLAB function index Index
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