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Peridynamic Differential Operator for Numerical Analysis Erdogan Madenci 2019 edition
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Peridynamic Differential Operator for Numerical Analysis
Erdogan Madenci
PD also serves as a natural filter to smooth noisy data and to recover missing data. This book starts with an overview of the PD concept, the derivation of the PD differential operator, its numerical implementation for the spatial and temporal derivatives, and the description of sources of error.
282 pages, 137 Illustrations, color; 26 Illustrations, black and white; XI, 282 p. 163 illus., 137 i
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2019. gada 4. marts |
| ISBN13 | 9783030026462 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 282 |
| Izmēri | 150 × 220 × 20 mm · 612 g |
| Valoda | Vācu |
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