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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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2019年3月4日 |
| ISBN13 | 9783030026462 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 282 |
| 寸法 | 150 × 220 × 20 mm · 612 g |
| 言語 | ドイツ語 |
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