Model Order Reduction and Applications: Cetraro, Italy 2021

This book discusses reduced order methods for modelling and computational reduction of complex parametrised systems, with a focus on real-time computing techniques and applications. It is intended for graduate students, young researchers, and people interested in the field.

Format: Paperback / softback
Length: 230 pages
Publication date: 01 June 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into the cutting-edge realm of reduced order methods, offering a comprehensive exploration of their application in 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 their diverse applications across various fields, the book comprises four insightful contributions presented at the esteemed CIME summer school.

The book presents a diverse range of perspectives and techniques aimed at addressing the increasingly complex challenges posed by these models. The central focus lies in conducting theoretical investigations and developing practical algorithms for reducing the complexity inherent in these models, encompassing factors such as dimension, degrees of freedom, and data.

Designed with graduate students, young researchers, and enthusiasts in mind, this book serves as an invaluable companion for advanced courses and research endeavors. Its comprehensive coverage and detailed explanations make it an essential resource for those seeking to deepen their understanding of reduced order methods and their practical applications.

By exploring the state of the art in reduced order methods, this book empowers readers to tackle complex problems with efficiency and precision, paving the way for advancements in diverse fields such as engineering, physics, and mathematics.

Weight: 464g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031295621
Edition number: 1st ed. 2023