| Xue D. Solving Optimization Problems with MATLAB 2020.pdf | 5.32 MB |
Textbook in PDF format
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.
Contents
An introduction to equations and optimization problems
Solutions of algebraic equations
Unconstrained optimization problems
Linear and quadratic programming
Nonlinear programming
Mixed integer programming
Multiobjective programming
Dynamic programming and shortest paths
Introduction to intelligent optimization methods
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