MS&A

Reduced Order Methods for Modeling and Computational Reduction

Editors: Quarteroni, Alfio, Rozza, Gianluigi (Eds.)

  • A complete review on the state of the art of model order reduction advances and developments
  • A gallery of application examples on reduced order modeling in computational science and engineering
  • It covers several topics and techniques by leading experts
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eBook $99.00
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  • ISBN 978-3-319-02090-7
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-02089-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 3, 2016
  • ISBN 978-3-319-37735-3
  • Free shipping for individuals worldwide
Rent the ebook  
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About this book

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.

Table of contents (11 chapters)

  • A Novel Approach to Model Order Reduction for Coupled Multiphysics Problems

    Schilders, Wil H. A. (et al.)

    Pages 1-49

  • Case Study: Parametrized Reduction Using Reduced-Basis and the Loewner Framework

    Ionita, Antonio C. (et al.)

    Pages 51-66

  • Comparison of Some Reduced Representation Approximations

    Bebendorf, Mario (et al.)

    Pages 67-100

  • Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems

    Antil, Harbir (et al.)

    Pages 101-136

  • Greedy Sampling Using Nonlinear Optimization

    Urban, Karsten (et al.)

    Pages 137-157

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-02090-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-02089-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 3, 2016
  • ISBN 978-3-319-37735-3
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Reduced Order Methods for Modeling and Computational Reduction
Editors
  • Alfio Quarteroni
  • Gianluigi Rozza
Series Title
MS&A
Series Volume
9
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-02090-7
DOI
10.1007/978-3-319-02090-7
Hardcover ISBN
978-3-319-02089-1
Softcover ISBN
978-3-319-37735-3
Series ISSN
2037-5255
Edition Number
1
Number of Pages
X, 334
Number of Illustrations and Tables
79 b/w illustrations
Topics