Model Order Reduction and Applications

Michael Hinze

ISBN 10: 3031295625 / ISBN 13: 9783031295621

Verlag: Springer Nature Switzerland, Springer Nature Switzerland Jun 2023, 2023

Beschreibung

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 244 pp. Englisch.

Bestandsnummer des Verkäufers 9783031295621

Bibliografische Details

• Titel: Model Order Reduction and Applications
• Verlag: Springer Nature Switzerland, Springer Nature Switzerland Jun 2023
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 3031295625
• ISBN-13: 9783031295621
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 13 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 13 mm
• Gewicht: 421 Gramm

Über diesen Titel

Inhaltsangabe

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.