Snapshot-Based Methods and Algorithms by Peter Benner
An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
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Model Reduction for Circuit Simulation
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Modellreduktion
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Model Reduction of Complex Dynamical Systems
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Dimension Reduction of Large-Scale Systems
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System Reduction for Nanoscale IC Design
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Model Reduction of Parametrized Systems
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Large-Scale Networks in Engineering and Life Sciences
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Trends in PDE Constrained Optimization
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Numerical Algebra, Matrix Theory, Differential-Algebraic Equations and Control Theory
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Applications
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System- and Data-Driven Methods and Algorithms
Benner, MPI, GE; Grivet-T., POLITO, Quarteroni, Politec., Rozza, SISSA, IT; Schilders, TU Eind., NE; Silveira, INESC-ID, PT
| SKU | Unavailable |
| ISBN 13 | 9783110671407 |
| ISBN 10 | 3110671409 |
| Title | Snapshot-Based Methods and Algorithms |
| Author | Peter Benner |
| Series | Model Order Reduction |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | De Gruyter |
| Year published | 2020-12-16 |
| Number of pages | 356 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |