Solving Optimization Problems with MATLAB® / Dingyü Xue.
By: Xue, Dingyü [author.]
.
Contributor(s): Tsinghua University Press [contributor.].
Material type: 
BookSeries: De Gruyter STEM.Publisher: Berlin ; Boston : De Gruyter, [2020]Copyright date: ©2020Description: 1 online resource (XII, 330 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110667011.Additional physical formats: No title; No titleOther classification: ST 601 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.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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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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Jan 2023)
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