Description

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.

Model Order Reduction and Applications: Cetraro, Italy 2021

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£49.99

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Paperback / softback by Michael Hinze , J. Nathan Kutz

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This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised... Read more

    Publisher: Springer International Publishing AG
    Publication Date: 21/06/2023
    ISBN13: 9783031295621, 978-3031295621
    ISBN10: 3031295625

    Number of Pages: 230

    Non Fiction , Mathematics & Science , Education

    Description

    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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