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Solving optimization problems with MATLAB

Record Type:	Electronic resources : Monograph/item
Title/Author:	Solving optimization problems with MATLABDingyü Xue.
Author:	Xue, Dingyü.
Published:	Berlin ;De Gruyter :c2020.
Description:	1 online resource (xii, 330 p.)
Subject:	Mathematical optimization.
Online resource:	https://www.degruyter.com/isbn/9783110667011
ISBN:	9783110667011$q(electronic bk.)

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$q(electronic bk.)

Standard No.: 10.1515/9783110667011doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA297 / .X84 2020

Dewey Class. No.: 620.00151

Solving optimization problems with MATLAB
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044 $a gw $c DE
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082 0 4 $a 620.00151 $2 23
100 1 $a Xue, Dingyü. $3 970693
245 1 0 $a Solving optimization problems with MATLAB $h [electronic resource] / $c Dingyü Xue.
250 $a 1st ed.
260 $a Berlin ; $a Boston : $b De Gruyter : $b Tsinghua University Press, $c c2020.
300 $a 1 online resource (xii, 330 p.)
490 1 $a De Gruyter STEM
504 $a Includes bibliographical references and index.
505 0 0 $t Frontmatter -- $t Preface -- $t Contents -- $t 1. An introduction to equations and optimization problems -- $t 2. Solutions of algebraic equations -- $t 3. Unconstrained optimization problems -- $t 4. Linear and quadratic programming -- $t 5. Nonlinear programming -- $t 6. Mixed integer programming -- $t 7. Multiobjective programming -- $t 8. Dynamic programming and shortest paths -- $t 9. Introduction to intelligent optimization methods -- $t Bibliography -- $t MATLAB function index -- $t Index.
520 $a 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.
530 $a Issued also in print.
538 $a Mode of access: Internet via World Wide Web.
546 $a In English.
588 $a Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023)
630 0 0 $a MATLAB. $3 181993
650 0 $a Mathematical optimization. $3 183292
830 0 $a De Gruyter STEM. $3 930882
856 4 0 $u https://www.degruyter.com/isbn/9783110667011