System- and Data-Driven Methods and Algorithms

"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 o...

Полное описание

Библиографическая информация
Другие авторы: Benner, Peter
Формат: Электронная книга
Язык:English
Публикация: Berlin De Gruyter, [2021]
Серии:Model order reduction ; v. 1.
Предметы:
Online-ссылка:EBSCOhost
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245 0 0 |a System- and Data-Driven Methods and Algorithms  |c edited by Peter Benner [and others]. 
264 1 |a Berlin  |b De Gruyter,  |c [2021] 
300 |a 1 online resource (viii, 378 pages)  |b illustrations. 
490 1 |a Model order reduction ;  |v volume 1 
588 |a Online resource; title from PDF title page (EBSCO, viewed January 24, 2022). 
504 |a Includes bibliographical references and index. 
520 |a "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. "--  |c Provided by publisher. 
653 0 |a Mathematical models. 
655 0 |a EBSCO eBooks  |9 905790 
655 4 |a Electronic books.  |9 899821 
700 1 |a Benner, Peter,  |9 320891 
830 0 |a Model order reduction ;  |v v. 1.  |9 909945 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/3062866.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1012611 
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