Model Order Reduction: Volume 3 Applications

Publisher: De Gruyter
Year: 2020
Tongue: English
Leaves: 474
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

✦ Table of Contents

Preface to the third volume of Model Order Reduction
Contents
1 Model reduction in chemical process optimization
2 Model order reduction in mechanical engineering
3 Case studies of model order reduction for acoustics and vibrations
4 Model order reduction in microelectronics
5 Complexity reduction of electromagnetic systems
6 Model reduction in computational aerodynamics
7 Model order reduction in neuroscience
8 Reduced-order modeling for applications to the cardiovascular system
9 From the POD-Galerkin method to sparse manifold models
10 Model order reduction in uncertainty quantification
11 Reduced-order modeling of large-scale network systems
12 Model order reduction and digital twins
13 MOR software
Index

📜 SIMILAR VOLUMES

Model Order Reduction: Theory, Research

📁 Model Order Reduction: Theory, Research Aspects and Applications

✍ Wil Schilders (auth.), Wilhelmus H. A. Schilders, Henk A. van der Vorst, Joost R 📂 Library 📅 2008 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The goal of this book is three-fold: it describes the basics of model order reduction and related aspects. In numerical linear algebra, it covers both general and more specialized model order reduction techniques for linear and nonlinear systems, and it discusses the use of model order red

Model Order Reduction and Applications:

📁 Model Order Reduction and Applications: Cetraro, Italy 2021

✍ Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban, Maurizio Falcone, Gianl 📂 Library 📅 2023 🏛 Springer-CIME 🌐 English

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.

Model order reduction: theory, research

📁 Model order reduction: theory, research aspects and applications

✍ Wil Schilders (auth.), Wilhelmus H. A. Schilders, Henk A. van der Vorst, Joost R 📂 Library 📅 2008 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Reduced Order Methods for Modeling and C

📁 Reduced Order Methods for Modeling and Computational Reduction

✍ Alfio Quarteroni, Gianluigi Rozza (eds.) 📂 Library 📅 2014 🏛 Springer International Publishing 🌐 English

This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational

Model Order Reduction Techniques with Ap

📁 Model Order Reduction Techniques with Applications in Electrical Engineering

✍ L. Fortuna, G. Nunnari, A. Gallo (auth.) 📂 Library 📅 1992 🏛 Springer-Verlag London 🌐 English

Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Starting with a clear outline of the technique and their wide methodological background, central topics are introduced including mathematical tools, physical processe

Model Order Reduction

📁 Model Order Reduction

✍ Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni, Gianluigi Rozza, Wil Sch 📂 Library 📅 2020 🏛 De Gruyter 🌐 English