dc.contributor.author	Schilders, Wil	*
dc.contributor.author	Grivet-Talocia, Stefano	*
dc.contributor.author	Benner, Peter	*
dc.contributor.author	Quarteroni, Alfio	*
dc.contributor.author	Rozza, Gianluigi	*
dc.contributor.author	Silveira, Luís Miguel	*
dc.date.accessioned	2021-02-12T03:46:46Z
dc.date.available	2021-02-12T03:46:46Z
dc.date.issued	2021	*
dc.date.submitted	2021-02-09 17:22:48	*
dc.identifier	51812	*
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/59498
dc.description.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.	*
dc.language	English	*
dc.relation.ispartofseries	Model Order Reduction	*
dc.subject	QA1-939	*
dc.subject.classification	bic Book Industry Communication::P Mathematics & science	en_US
dc.title	Snapshot-Based Methods and Algorithms	*
dc.type	book
oapen.identifier.doi	10.1515/9783110671490	*
oapen.relation.isPublishedBy	af2fbfcc-ee87-43d8-a035-afb9d7eef6a5	*
oapen.relation.isbn	9783110671490	*
oapen.pages	356	*
oapen.volume	2	*

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Snapshot-Based Methods and Algorithms