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Reduced Order Methods for Modeling and Computational Reduction
By Gianluigi Rozza (editor) and Alfio Quarteroni (editor)
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Bibliographic Detail
Publisher Springer Verlag
Publication date December 12, 2013
Pages 332
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9783319020891
ISBN-10 3319020897
Dimensions 0.75 by 6.25 by 9.25 in.
Weight 1.60 lbs.
Original list price $129.00
Summaries and Reviews
Amazon.com description: Product Description: This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.

Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.

This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.



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Hardcover
Book cover for 9783319020891
 
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from Springer Verlag (December 12, 2013)
9783319020891 | details & prices | 332 pages | 6.25 × 9.25 × 0.75 in. | 1.60 lbs | List price $129.00
About: This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.

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