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About Model Order Reduction: Volume 1: Methods
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.
Detailed Information
| Author: | Peter Benner |
|---|---|
| ISBN: | 9783110500431 |
| File Size: | 12 |
| Format: | |
| Price: | FREE |
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