Model Order Reduction Volume 2: Snapshot-Based Methods and Algorithms

By:

Benner, Peter [edt]

Contributor(s):

Material type: Article

ArticleLanguage: English Series: Model Order ReductionPublication details: Berlin/Boston De Gruyter 2020Description: 1 electronic resource (348 p.)ISBN:

9783110671490

Subject(s):

Online resources:

Summary: 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.

List(s) this item appears in: Faculty Informational Technology

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Notes	Date due	Barcode
Electronic edition	Bucheon University Library	Computers	DOAB	004 M78	Not for loan	Смотреть (pdf)		1010991

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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.

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc

English

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