Название: Model Order Reduction: System- and Data-Driven Methods and Algorithms, Volume 1
Автор: Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni
Издательство: De Gruyter
Год: 2021
Страниц: 388
Язык: английский
Формат: pdf (true), epub
Размер: 38.1 MB
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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. This first volume starts with an introductory chapter to Model Order Reduction (MOR) in general as a very broad field of research, encompassing multiple techniques with applications in a wide variety of fields.
Автор: Peter Benner, Stefano Grivet-Talocia, Alfio Quarteroni
Издательство: De Gruyter
Год: 2021
Страниц: 388
Язык: английский
Формат: pdf (true), epub
Размер: 38.1 MB
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 first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. This first volume starts with an introductory chapter to Model Order Reduction (MOR) in general as a very broad field of research, encompassing multiple techniques with applications in a wide variety of fields.