Solving Optimization Problems with MATLAB:

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Xue, Dingyu (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Berlin ; Boston De Gruyter [2020]
Tsinghua University Press [2020]
Schriftenreihe:De Gruyter STEM
Schlagwörter:
Links:https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
https://doi.org/10.1515/9783110667011
Zusammenfassung: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
Beschreibung:Description based on online resource; title from PDF title page (publisher's Website, viewed 06. Apr 2020)
Umfang:1 Online-Ressource (XII, 330 pages)
ISBN:9783110667011
9783110663693
DOI:10.1515/9783110667011