Solving Optimization Problems with MATLAB®
1st Edition
Published on 6. April 2020
XII, 330 pages
978-3-11-066701-1 (ISBN)
Description
This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.
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Dingyü Xue
Solving Optimization Problems with MATLAB®
E-Book
04/2020
1st Edition
De Gruyter
€84.95
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Dingyü Xue
Solving Optimization Problems with MATLAB®
Book
04/2020
1st Edition
De Gruyter
€84.95
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Content
- Intro
- 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
