Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
473100 | Computers & Mathematics with Applications | 2009 | 20 Pages |
Abstract
A function and its first two derivatives are estimated by convolutions with well-chosen non-differentiable kernels. The convolutions are in turn approximated by Newton–Cotes integration techniques with the aid of a polynomial interpolation based on an arbitrary finite set of points. Precise numerical results are obtained with far fewer points than that in classic SPH, and error bounds are derived.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
J.-M. Belley, P. Belley, F. Colin, R. Egli,