Interpolatory Methods for Model Reduction
$184.91
- Paperback
232 pages
- Release Date
27 February 2020
Summary
Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and alge…
Book Details
| ISBN-13: | 9781611976076 |
|---|---|
| ISBN-10: | 1611976073 |
| Author: | Athanasios C. Antoulas |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 232 |
| Release Date: | 27 February 2020 |
| Weight: | 530g |
| Dimensions: | 256mm x 179mm |
| Series: | Computational Science and Engineering 21 |
About The Author
Athanasios C. Antoulas
Athanasios C. Antoulas is a professor in the Department of Electrical and Computing Engineering at Rice University. He is a fellow of the Max-Planck Society, a fellow of the IEEE, and an adjunct professor of molecular and cellular biology at the Baylor College of Medicine.
Christopher Beattie is a professor in the Department of Mathematics and in the Division of Computational Modeling and Data Analytics at Virginia Tech.
Serkan Gugercin is the Class of 1950 Professor of Mathematics, deputy director of the Division of Computational Modeling and Data Analytics, and an affiliated faculty in the Department of Mechanical Engineering at Virginia Tech.
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