Numerical Methods and Optimization: Theory and Practice for Engineers: 187 - Rilegato

Corriou, Jean-pierre

 
9783030893651: Numerical Methods and Optimization: Theory and Practice for Engineers: 187
Rilegato
ISBN 10: 3030893650 ISBN 13: 9783030893651
Casa editrice: Springer Nature, 2022

Sinossi

This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab™ is available on the author’s personal website and presents both numerical and optimization methods.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Jean-Pierre Corriou is Emeritus Professor of the University of Lorraine. He performs his research in the research group of Dynamic Optimization and Advanced Control of the Laboratory of Reactions and Chemical Engineering (LRGP). Prof. Corriou’s main research domains include dynamic simulation of complex processes and nonlinear control of processes. In addition to this present text, Prof. Corriou has published 2 editions of a textbook with Springer titled “Process Control --- Theory and Applications.”


Dalla quarta di copertina

This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab™ is available on the author’s personal website and presents both numerical and optimization methods.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
3030893650
ISBN 13 
9783030893651
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
715
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

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Hamburg
Germania

Altre edizioni note dello stesso titolo

9783030893682: Numerical Methods and Optimization

Edizione in evidenza

ISBN 10:  3030893685 ISBN 13:  9783030893682
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