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Peridynamic Differential Operator for Numerical Analysis
- Binding:
- Hardback
- Pages:
- 282
- Published:
- March 4, 2019
- Edition:
- 12019
- Dimensions:
- 155x235x0 mm.
- Weight:
- 612 g.
Delivery:
2-4 weeks
Expected delivery: October 17, 2024
Description of Peridynamic Differential Operator for Numerical Analysis
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.
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