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Download Numerical Methods in Sensitivity Analysis and Shape Optimization eBook

by Patrick Le Tallec,Emmanuel Laporte

Download Numerical Methods in Sensitivity Analysis and Shape Optimization eBook
ISBN:
0817643222
Author:
Patrick Le Tallec,Emmanuel Laporte
Category:
Computer Science
Language:
English
Publisher:
Birkhäuser; 2003 edition (December 13, 2002)
Pages:
194 pages
EPUB book:
1115 kb
FB2 book:
1251 kb
DJVU:
1399 kb
Other formats
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Rating:
4.1
Votes:
131


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.

Электронная книга "Numerical Methods in Sensitivity Analysis and Shape Optimization", Emmanuel Laporte, Patrick Le Tallec. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст,. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Numerical Methods in Sensitivity Analysis and Shape Optimization" для чтения в офлайн-режиме.

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.

Numerical Methods in Sensitivity Analysis and Shape Optimization Laporte Emmanuel, Le Tallec Patrick Springer 9780817643225 : Sensitivity analysis and optimal shape design are key issues in e. relevance and efficiency CD-ROM also offers software building, updating computational grids, performing automatic code differentiation, and computing basic aeroelastic solutions.

Numerical Methods in Sensitivity Analysis and Shape Optimization. Emmanuel Laporte, Patrick Le Tallec. Скачать (djvu, . 0 Mb).

oceedings{MI, title {Numerical methods in sensitivity analysis and shape .

oceedings{MI, title {Numerical methods in sensitivity analysis and shape optimization}, author {Emmanuel Laporte and Patrick Le Tallec}, booktitle {Modeling and simulation in science, engineering and technology}, year {2002} }. Published in. Modeling and simulation i. 002.

Emmanuel Laporte, Patrick Le Tallec . Lists with This Book. This book is not yet featured on Listopia.

This book provides a unified framework based on a sensitivity point of view.

Numerical Methods in Sensitivity Analysis and Shape Optimization Emmanuel Laporte; Patrick Le Tallec Springer 9781461265986 : Numerical Methods in Sensitivity Analysis and Shape Optimization . This book provides a unified framework based on a sensitivity point of view.

This book/interactive CD-ROM 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.

Author: Emmanuel Laporte Patrick Le Tallec. Numerical Methods in Sensitivity Analysis and Shape Optimization (Modeling and Simulation in Science, Engineering & Technology).

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.