Numerical Methods in Sensitivity Analysis and Shape Optimization (Paperback, Softcover reprint of the original 1st ed. 2003)

Sensitivity analysis and optimal shape design are key issues in engineering that have been affected by advances in numerical tools currently available. This book, and its supplementary online files, presents basic optimization techniques that can be used to compute the sensitivity of a given design to local change, or to improve its performance by local optimization of these data. The relevance and scope of these techniques have improved dramatically in recent years because of progress in discretization strategies, optimization algorithms, automatic differentiation, software availability, and the power of personal computers. Numerical Methods in Sensitivity Analysis and Shape Optimization will be of interest to graduate students involved in mathematical modeling and simulation, as well as engineers and researchers in applied mathematics looking for an up-to-date introduction to optimization techniques, sensitivity analysis, and optimal design.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Modeling and Simulation in Science, Engineering and Technology
Release date:	April 2013
First published:	2003
Authors:	Emmanuel Laporte • Patrick Le Tallec
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	194
Edition:	Softcover reprint of the original 1st ed. 2003
ISBN-13:	978-1-4612-6598-6
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4612-6598-3
Barcode:	9781461265986

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