Snapshot-Based Methods and Algorithms.

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Place / Publishing House:Berlin/Boston : : Walter de Gruyter GmbH,, 2020.
Ã2021.
Year of Publication:2020
Edition:1st ed.
Language:English
Online Access:
Physical Description:1 online resource (356 pages)
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245 1 0 |a Snapshot-Based Methods and Algorithms. 
250 |a 1st ed. 
264 1 |a Berlin/Boston :  |b Walter de Gruyter GmbH,  |c 2020. 
264 4 |c Ã2021. 
300 |a 1 online resource (356 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Intro -- Preface to the second volume of Model Order Reduction -- Contents -- 1 Basic ideas and tools for projection-based model reduction of parametric partial differential equations -- 2 Model order reduction by proper orthogonal decomposition -- 3 Proper generalized decomposition -- 4 Reduced basis methods -- 5 Computational bottlenecks for PROMs: precomputation and hyperreduction -- 6 Localized model reduction for parameterized problems -- 7 Data-driven methods for reduced-order modeling -- Index. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
700 1 |a et al., et. 
776 0 8 |i Print version:  |a Benner, Peter  |t Snapshot-Based Methods and Algorithms  |d Berlin/Boston : Walter de Gruyter GmbH,c2020 
797 2 |a ProQuest (Firm) 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6637473  |z Click to View