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Solving optimization problems with MATLAB

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Solving optimization problems with MATLAB/ Dingyü 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

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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100 1 $a Xue, Dingyü. $3 1457988
245 1 0 $a Solving optimization problems with MATLAB $h [electronic resource] / $c Dingyü Xue.
250 $a 1st ed.
260 $a Berlin ; $a Boston : $c c2020. $b De Gruyter : $b Tsinghua University Press,
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 557852
650 0 $a Mathematical optimization. $3 527675
830 0 $a De Gruyter STEM. $3 1346002
856 4 0 $u https://www.degruyter.com/isbn/9783110667011