Snapshot-Based Methods and Algorithms

Peter Benner; Stefano Grivet-Talocia; Alfio Quarteroni; Gianluigi Rozza; Wil H.A. Schilders; Luís Miguel Silveira

doi:10.1515/9783110671490

Snapshot-Based Methods and Algorithms

Peter Benner (Editor), Stefano Grivet-Talocia (Editor), Alfio Quarteroni (Editor), Gianluigi Rozza (Editor), Wil H.A. Schilders, Luís Miguel Silveira (Editor)

Research output: Book/Report › Book editing › Academic › peer-review

28 Citations (Scopus)

387 Downloads (Pure)

Abstract

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.

Original language	English
Place of Publication	Berlin/Boston
Publisher	Walter de Gruyter GmbH
Number of pages	348
ISBN (Electronic)	9783110671490
ISBN (Print)	9783110671407
DOIs	https://doi.org/10.1515/9783110671490
Publication status	Published - 16 Dec 2020

Publication series

Name	Model Order Reduction
Publisher	Walter de Gruyter GmbH
Volume	2

Keywords

Computational physics
Computersimulation
Mathematisches modell
Ordnungsreduktion

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10.1515/9783110671490Licence: CC BY-NC-ND

9783110671490Final published version, 6.62 MBLicence: CC BY-NC-ND

Cite this

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KW - Computersimulation

KW - Mathematisches modell

KW - Ordnungsreduktion

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Snapshot-Based Methods and Algorithms

Abstract

Publication series

Keywords

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