Peridynamic Differential Operator for Numerical Analysis - Erdogan Madenci - Knjige - Springer Nature Switzerland AG - 9783030026462 - 4. marca 2019
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Peridynamic Differential Operator for Numerical Analysis 2019 edition

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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

Medij Knjige     Hardcover Book   (Knjiga s trdim hrbtom in platnicami)
Izdano 4. marca 2019
ISBN13 9783030026462
Založniki Springer Nature Switzerland AG
Strani 282
Dimenzije 150 × 220 × 20 mm   ·   612 g
Jezik Nemščina  

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