Snapshot-Based Methods and Algorithms.

Snapshot-Based Methods and Algorithms.

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:
Benner, Peter.
TeilnehmendeR:
et al., et.
Place / Publishing House:Berlin/Boston : : Walter de Gruyter GmbH,, 2020.
Ã2021.
Year of Publication:2020
Edition:1st ed.
Language:English
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Physical Description:1 online resource (356 pages)
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ctrlnum (MiAaPQ)5006637473
(Au-PeEL)EBL6637473
(OCoLC)1276855665
collection bib_alma
record_format marc
spelling Benner, Peter.
Snapshot-Based Methods and Algorithms.
1st ed.
Berlin/Boston : Walter de Gruyter GmbH, 2020.
Ã2021.
1 online resource (356 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
et al., et.
Print version: Benner, Peter Snapshot-Based Methods and Algorithms Berlin/Boston : Walter de Gruyter GmbH,c2020
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6637473 Click to View
language English
format eBook
author Benner, Peter.
spellingShingle Benner, Peter.
Snapshot-Based Methods and Algorithms.
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.
author_facet Benner, Peter.
et al., et.
author_variant p b pb
author2 et al., et.
author2_variant a e e ae aee
author2_role TeilnehmendeR
author_sort Benner, Peter.
title Snapshot-Based Methods and Algorithms.
title_full Snapshot-Based Methods and Algorithms.
title_fullStr Snapshot-Based Methods and Algorithms.
title_full_unstemmed Snapshot-Based Methods and Algorithms.
title_auth Snapshot-Based Methods and Algorithms.
title_new Snapshot-Based Methods and Algorithms.
title_sort snapshot-based methods and algorithms.
publisher Walter de Gruyter GmbH,
publishDate 2020
physical 1 online resource (356 pages)
edition 1st ed.
contents 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.
isbn 9783110671490
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6637473
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 515 - Analysis
dewey-full 515.353
dewey-sort 3515.353
dewey-raw 515.353
dewey-search 515.353
oclc_num 1276855665
work_keys_str_mv AT bennerpeter snapshotbasedmethodsandalgorithms
AT etalet snapshotbasedmethodsandalgorithms
status_str n
ids_txt_mv (MiAaPQ)5006637473
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(OCoLC)1276855665
carrierType_str_mv cr
is_hierarchy_title Snapshot-Based Methods and Algorithms.
author2_original_writing_str_mv noLinkedField
marc_error Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ]
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