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Inverse Analyses with Model Reduction: Computational Fluid and Solid Mechanics

Autor Vladimir Buljak
en Limba Engleză Paperback – 26 ian 2014
In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses. It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle. Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.
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Specificații

ISBN-13: 9783642435638
ISBN-10: 3642435637
Pagini: 220
Ilustrații: XIV, 206 p.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.34 kg
Ediția:2012
Editura: Springer
Colecția Computational Fluid and Solid Mechanics
Seria Computational Fluid and Solid Mechanics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Inverse analyses.- Optimization algorithms .- Proper Orthogonal Decomposition and Radial Basis Functions for fast simulations .- Modern approach to inverse analyses .- Numerical examples.

Textul de pe ultima copertă

In this self-consistent monograph, the author gathers and describes different mathematical techniques and combines all together to form practical procedures for the inverse analyses.
It puts together topics coming from mathematical programming, with soft computing and Proper Orthogonal Decomposition, in order to show, in the context of structural analyses, how the things work and what are the main problems one needs to tackle.
Throughout the book a number of examples and exercises are worked out in order to make reader practically familiar with discussed topics.

Caracteristici

Self-consistent monograph Gathers different mathematical techniques Shows the ‘whole picture’ Examples and exercises make reader practically familiar with discussed topics Includes supplementary material: sn.pub/extras