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Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs - Lecture Notes in Mathematics Dinh Dung 1st ed. 2023 edition
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Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs - Lecture Notes in Mathematics
Dinh Dung
The present book develops the mathematical and numerical analysis of linear, elliptic and parabolic partial differential equations (PDEs) with coefficients whose logarithms are modelled as Gaussian random fields (GRFs), in polygonal and polyhedral physical domains.
207 pages, XV, 207 p.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2023. gada 14. oktobris |
| ISBN13 | 9783031383830 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 207 |
| Izmēri | 150 × 220 × 10 mm · 317 g |
| Valoda | Vācu |
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