Numerical Methods and Optimization - Theory and Practice for Engineers (Paperback, 1st ed. 2021)

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 (TM) is available on the author's personal website and presents both numerical and optimization methods.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Optimization and Its Applications, 187
Release date:	2023
First published:	2021
Authors:	Jean-Pierre Corriou
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	715
Edition:	1st ed. 2021
ISBN-13:	978-3-03-089368-2
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	3-03-089368-5
Barcode:	9783030893682

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