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Solving optimization problems with MATLAB
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Solving optimization problems with MATLAB/ Dingyü Xue.
作者:
Xue, Dingyü.
出版者:
Berlin ;De Gruyter : : c2020.,
面頁冊數:
1 online resource (xii, 330 p.)
標題:
Mathematical optimization. -
電子資源:
https://www.degruyter.com/isbn/9783110667011
ISBN:
9783110667011
Solving optimization problems with MATLAB
Xue, Dingyü.
Solving optimization problems with MATLAB
[electronic resource] /Dingyü Xue. - 1st ed. - Berlin ;De Gruyter :c2020. - 1 online resource (xii, 330 p.) - De Gruyter STEM. - De Gruyter STEM..
Includes bibliographical references and index.
Frontmatter --
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.
Mode of access: Internet via World Wide Web.
In English.
ISBN: 9783110667011
Standard No.: 10.1515/9783110667011doiSubjects--Uniform Titles:
MATLAB.
Subjects--Topical Terms:
527675
Mathematical optimization.
LC Class. No.: QA297 / .X84 2020
Dewey Class. No.: 620.00151
Solving optimization problems with MATLAB
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Includes bibliographical references and index.
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Frontmatter --
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Preface --
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Contents --
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1. An introduction to equations and optimization problems --
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2. Solutions of algebraic equations --
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3. Unconstrained optimization problems --
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4. Linear and quadratic programming --
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5. Nonlinear programming --
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6. Mixed integer programming --
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7. Multiobjective programming --
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8. Dynamic programming and shortest paths --
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9. Introduction to intelligent optimization methods --
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Bibliography --
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MATLAB function index --
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Index.
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Issued also in print.
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Mode of access: Internet via World Wide Web.
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Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023)
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https://www.degruyter.com/isbn/9783110667011
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