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Solving Optimization Problems with MATLAB (De Gruyter STEM)

โœ Scribed by Dingyรผ Xue


Publisher
De Gruyter
Year
2020
Tongue
English
Leaves
344
Series
de Gruyter Stem
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


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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