ANTOULAS APPROXIMATION OF LARGE-SCALE DYNAMICAL SYSTEMS PDF

Approximation of large-scale dynamical systems, Advances in Design and Control, SIAM, Philadephia (). Google Scholar. [2]. A.C. AntoulasNew results on. Buy Approximation of Large-Scale Dynamical Systems (Advances in Design and Control) on ✓ FREE Athanasios C. Antoulas (Author). out of. Buy Approximation of Large-Scale Dynamical Systems (Advances in Design and Dr. Athanasios C. Antoulas is one of the world’s leading authorities on model.

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The increasing need for accuracy has led to dyna,ical development of highly complex models. Motivating Examples; Part II: Special attention is given to numerical aspects, simulation questions, and practical applications. Hankel-norm Approximation; Chapter 9: Eigenvalue Computations; Chapter This product hasn’t received any reviews yet. Sample Chapter 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.

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Account Options Sign dynamival. Be the first to review this product! Approximation of Large-Scale Dynamical Systems provides a comprehensive picture of model reduction, large-sccale system theory with numerical linear algebra and computational considerations. However, in the presence of limited computational accuracy and storage capabilities model reduction system approximation is often necessary. Sorensen Limited preview – How do you rate this product?

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Society for Industrial and Applied Mathematics, Structured Matrices in Mathematics, Computer Science, and Approximation of Large-Scale Dynamical Systems. Proceedings of a Workshop held My library Help Advanced Book Search.

Approximation of Large-Scale Dynamical Systems – SIAM Bookstore

It addresses the issue of model reduction and the resulting trade-offs between accuracy and complexity. Product Reviews Write review. Tools from Matrix Theory; Chapter 4: Part 2; Dyjamical 6: Antoulas Limited preview – Follow us on Facebook Twitter YouTube. Approximation of Large-scale Dynamical Systems.

Case Studies; Chapter Part 1; Chapter 5: However, in the presence of limited computational, accuracy, and storage capabilities, model reduction system approximation is often necessary. Selected For Comparision Compare Now.

It addresses the issue of model reduction and approxination resulting trade-offs between accuracy and complexity. Product Description by Athanasios C. Write your review here: The increasing need for accuracy has led to the development of highly complex models. Balancing and balanced approximations; Chapter 8: Krylov-based Approximation Methods; Chapter Special attention is given to numerical aspects, simulation questions, and practical applications. We promise to never spam you, and approximatlon use your email address to identify you as a valid customer.

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Approximation of Large-scale Dynamical Systems – Athanasios C. Antoulas – Google Books

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. Dimension Reduction of Large-Scale Systems: However, in the presence of limited Approximation of Large-Scale Dynamical Dynqmical provides a comprehensive picture of model reduction, combining system theory with numerical linear algebra and computational considerations.

His research interests are in the broad area of dynamical systems and computation, including model reduction of large-scale systems. Audience This book is for anyone interested in model reduction.