Article ID Journal Published Year Pages File Type
473100 Computers & Mathematics with Applications 2009 20 Pages PDF
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)
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