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Model order reduction and applicationsCetraro, Italy 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Model order reduction and applicationsby Michael Hinze ... [et al.] ; edited by Maurizio Falcone, Gianluigi Rozza.
Reminder of title:	Cetraro, Italy 2021 /
other author:	Hinze, Michael.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xiv, 230 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Differential equations.
Online resource:	https://doi.org/10.1007/978-3-031-29563-8
ISBN:	9783031295638$q(electronic bk.)

Model order reduction and applicationsCetraro, Italy 2021 /
Model order reduction and applicationsCetraro, Italy 2021 /[electronic resource] :by Michael Hinze ... [et al.] ; edited by Maurizio Falcone, Gianluigi Rozza. - Cham :Springer Nature Switzerland :2023. - xiv, 230 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mathematics,v. 23281617-9692 ;. - Lecture notes in mathematics,v. 2328..

This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields. Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models. The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.

ISBN: 9783031295638$q(electronic bk.)

Standard No.: 10.1007/978-3-031-29563-8doiSubjects--Topical Terms:

183925
Differential equations.

LC Class. No.: QA371

Dewey Class. No.: 515.35

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300 $a xiv, 230 p. : $b ill. (some col.), digital ; $c 24 cm.
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520 $a This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields. Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity - the dimension, the degrees of freedom, the data - arising in these models. The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.
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700 1 $a Falcone, Maurizio. $3 827631
700 1 $a Rozza, Gianluigi. $3 585209
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950 $a Mathematics and Statistics (SpringerNature-11649)

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