Approximation of large-scale dynamical systems
by Antoulas, Athanasios Constantinos
Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational, accuracy, and storage capabilities, model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of…
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- Full title :Approximation of large-scale dynamical systems / Athanasios C. Antoulas.
Summary
Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale integration (VLSI) circuits. The increasing need for accuracy has led to the development of highly complex models. However, in the presence of limited computational, accuracy, and storage capabilities, model reduction (system approximation) is often necessary. Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations. It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Special attention is given to numerical aspects, simulation questions, and practical applications. Audience: anyone interested in model reduction, including graduate students and researchers in the fields of system and control theory, numerical analysis, and the theory of partial differential equations/computational fluid dynamics.
Read More ↓Edition Statements
- Publication Date:20..
Publication Statements
- Publisher(s):Society for Industrial and Applied Mathematics
- Place of Publication:Philadelphia (Pa.)
- Language:eng
- Publication Date:20..
Notes
Description d'après consultation du 2016-01-18.
Titre provenant de l'écran d'accueil [e-book].
Numérisation de l'édition de Philadelphie: Society for Industrial and Applied Mathematics, 2005.
Nombre de pages de l'édition imprimée : 504 p.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:9780898718713, 0898718716, 0898715296, 9780898715293, 0898716586, 9780898716580
- oclc:ocn935092566
- LC Classification:QA614.9
- Dewey Decimal:515/.39
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