Non-Fiction Books:

Reduced Order Methods for Modeling and Computational Reduction

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$293.00
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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.
Release date NZ
September 17th, 2016
Audience
  • Professional & Vocational
Contributors
  • Edited by Alfio Quarteroni
  • Edited by Gianluigi Rozza
Edition
Softcover reprint of the original 1st ed. 2014
Illustrations
79 Illustrations, black and white; X, 334 p. 79 illus.
Pages
334
Series
Dimensions
155x235x18
ISBN-13
9783319377353
Product ID
26084308

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