Cell Mapping Methods - Algorithmic Approaches and Applications (Paperback, Softcover reprint of the original 1st ed. 2019)

This book presents the latest algorithmic developments in the cell-mapping method for the global analysis of nonlinear dynamic systems, global solutions for multi-objective optimization problems, and global solutions for zeros of complex algebraic equations. It also discusses related engineering and scientific applications, including the nonlinear design of structures for better vibration resistance and reliability; multi-objective, structural-acoustic design for sound abatement; optimal multi-objective design of airfoils for better lift; and optimal multi-objective design of linear and nonlinear controls with or without time delay. The first book on the subject to include extensive Matlab and C++ codes, it presents various implementation algorithms of the cell-mapping method, enabling readers to understand how the method works and its programming aspects. A link to the codes on the Springer website will be provided to the readers.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	December 2018
First published:	2019
Authors:	Jian-Qiao Sun • Fu-Rui Xiong • Oliver Schutze • Carlos Hernandez
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	226
Edition:	Softcover reprint of the original 1st ed. 2019
ISBN-13:	978-981-13-4421-3
Categories:	Books > Science & Mathematics > Physics > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
LSN:	981-13-4421-3
Barcode:	9789811344213

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