Wavelet adaptive proper orthogonal decomposition for large-scale flow data
The proper orthogonal decomposition (POD) is a powerful classical tool in fluid mechanics used, for instance, for model reduction and extraction of coherent flow features. However, its applicability to high-resolution data, as produced by three-dimensional direct numerical simulations, is limited ow...
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Veröffentlicht in: | Advances in computational mathematics 2022-04, Vol.48 (2), Article 10 |
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