Inverse Analyses with Model Reduction Proper Orthogonal Decomposition in Structural Mechanics /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Buljak, Vladimir (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Computational Fluid and Solid Mechanics,
Temas:
Engineering mathematics.
Engineering-Data processing.
Mathematics-Data processing.
Computer simulation.
Mechanics, Applied.
Solids.
Mathematical and Computational Engineering Applications.
Computational Science and Engineering.
Computer Modelling.
Solid Mechanics.
Acceso en línea:Texto Completo

MARC

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100 1 |a Buljak, Vladimir.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Inverse Analyses with Model Reduction  |h [electronic resource] :  |b Proper Orthogonal Decomposition in Structural Mechanics /  |c by Vladimir Buljak. 
250 |a 1st ed. 2012. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XIV, 206 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Computational Fluid and Solid Mechanics,  |x 1860-4838 
505 0 |a Inverse analyses -- Optimization algorithms -- Proper Orthogonal Decomposition and Radial Basis Functions for fast simulations -- Modern approach to inverse analyses -- Numerical examples. 
520 |a 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. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a Mathematics-Data processing. 
650 0 |a Computer simulation. 
650 0 |a Mechanics, Applied. 
650 0 |a Solids. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Computational Science and Engineering. 
650 2 4 |a Computer Modelling. 
650 2 4 |a Solid Mechanics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642435638 
776 0 8 |i Printed edition:  |z 9783642227028 
776 0 8 |i Printed edition:  |z 9783642227042 
830 0 |a Computational Fluid and Solid Mechanics,  |x 1860-4838 
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912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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