Model Order Reduction / Snapshot-Based Methods and Algorithms
Seiten
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.
Peter Benner, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
Erscheinungsdatum | 17.12.2020 |
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Reihe/Serie | Model Order Reduction ; Volume 2 |
Zusatzinfo | 15 b/w and 65 col. ill., 30 b/w tbl. |
Verlagsort | Berlin/Boston |
Sprache | englisch |
Maße | 170 x 240 mm |
Gewicht | 727 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
Schlagworte | Computational Physics • Computersimulation • Mathematisches Modell • Ordnungsreduktion |
ISBN-10 | 3-11-067140-9 / 3110671409 |
ISBN-13 | 978-3-11-067140-7 / 9783110671407 |
Zustand | Neuware |
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