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Numerical Methods in Sensitivity Analysis and Shape Optimization (Hardcover, 2003 ed.) Loot Price: R1,413
Discovery Miles 14 130
Numerical Methods in Sensitivity Analysis and Shape Optimization (Hardcover, 2003 ed.): Emmanuel Laporte, Patrick Le Tallec

Numerical Methods in Sensitivity Analysis and Shape Optimization (Hardcover, 2003 ed.)

Emmanuel Laporte, Patrick Le Tallec

Series: Modeling and Simulation in Science, Engineering and Technology

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Loot Price R1,413 Discovery Miles 14 130 | Repayment Terms: R132 pm x 12*

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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: Birkhauser Boston
Country of origin: United States
Series: Modeling and Simulation in Science, Engineering and Technology
Release date: December 2002
First published: 2003
Authors: Emmanuel Laporte • Patrick Le Tallec
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 194
Edition: 2003 ed.
ISBN-13: 978-0-8176-4322-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 0-8176-4322-2
Barcode: 9780817643225

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