Snapshot-Based Methods and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Snapshot-Based Methods and Algorithms write by Peter Benner. This book was released on 2020-12-16. Snapshot-Based Methods and Algorithms available in PDF, EPUB and Kindle. 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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Snapshot-Based Methods and Algorithms
Snapshot-Based Methods and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Snapshot-Based Methods and Algorithms write by Peter Benner. This book was released on 2020-12-16. Snapshot-Based Methods and Algorithms available in PDF, EPUB and Kindle. 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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
System- and Data-Driven Methods and Algorithms
System- and Data-Driven Methods and Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook System- and Data-Driven Methods and Algorithms write by Peter Benner. This book was released on 2021-11-08. System- and Data-Driven Methods and Algorithms available in PDF, EPUB and Kindle. 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 two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.
Model Order Reduction and Applications
Model Order Reduction and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Model Order Reduction and Applications write by Michael Hinze. This book was released on 2023-06-20. Model Order Reduction and Applications available in PDF, EPUB and Kindle. 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.
Ubiquitous Radio Sensing
Ubiquitous Radio Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Ubiquitous Radio Sensing write by Martin Schmidhammer. This book was released on 2023-07-25. Ubiquitous Radio Sensing available in PDF, EPUB and Kindle. Many applications in the emerging smart environments, such as smart cities and intelligent transportation, require an accurate situational awareness, i.e., information about presence and location of all users in the environment. A reliable situational awareness is based on robust communications and sensing techniques, as well as large-scale deployment. Therefore, an integration of sensing functionality is envisioned as a native capability of next generation wireless networks. This work provides a novel radio sensing approach for the localization of non-cooperative users, referred to as multipath-enhanced device-free localization (MDFL). For localization, MDFL exploits user-induced variations in the received power of static signal components, i.e., line-of-sight and multipath components. Due to its low computational complexity, the proposed MDFL approach represents a suitable technique for the emerging perceptive wireless networks and can help to enable ubiquitous radio sensing.
