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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Online Access: | |
Physical Description: | 1 online resource (XII, 330 p.) |
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Other title: | 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 |
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Summary: | 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. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110667011 9783110696288 9783110696271 9783110659061 9783110704716 9783110704518 9783110704815 9783110704617 |
DOI: | 10.1515/9783110667011 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Dingyü Xue. |