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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Bibliographic Details
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
Online Access:
Physical Description:1 online resource (XII, 330 p.)
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Description
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
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.