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English | 2020 | ISBN: 9780750320641 | 235 pages | True (PDF,EPUB,MOB) | 100.16 MB This  English | 2021 | ISBN: 978-3110500431 | 388 pages | pdf, epub | 42.17 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 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.  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