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System- and Data-Driven Methods and Algorithms

अन्य संस्करण दिखाएं (1)

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...

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में बचाया:
ग्रंथसूची विवरण
अन्य लेखक: Benner, Peter (संपादक), Grivet-Talocia, Stefano (संपादक), Quarteroni, Alfio (संपादक), Rozza, Gianluigi (संपादक), Schilders, Wil (संपादक), Silveira, Luís Miguel (संपादक)
स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
भाषा:अंग्रेज़ी
प्रकाशित: Berlin/Boston De Gruyter 2021
श्रृंखला:Model Order Reduction
विषय:
Numerical analysis
Applied mathematics
Mathematical physics
Production engineering
Computational physics
Computer simulation
ऑनलाइन पहुंच:DOAB: download the publication
DOAB: description of the publication
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विवरण
सारांश: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.
भौतिक वर्णन:1 electronic resource (378 p.)
आईएसबीएन:9783110498967
9783110500431
9783110497717
अभिगमन:Open Access

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