Solving Optimization Problems with MATLAB® / / Dingyü Xue.
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, multiobj...
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Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2020 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
Series: | De Gruyter STEM
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Physical Description: | 1 online resource (XII, 330 p.) |
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Table of Contents:
- Frontmatter
- 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