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 second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
CITATION STYLE
Benner, P., Grivet-Talocia, S., Quarteroni, A., Rozza, G., Schilders, W., & Silveira, L. M. (2020). Volume 2 snapshot-based methods and algorithms. Snapshot-Based Methods and Algorithms (pp. 1–348). De Gruyter. https://doi.org/10.1515/9783110671490
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