A meshless, integration-free, and boundary-only RBF technique

Computer Science – Computational Engineering – Finance – and Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Based on the radial basis function (RBF), non-singular general solution and dual reciprocity method (DRM), this paper presents an inherently meshless, integration-free, boundary-only RBF collocation techniques for numerical solution of various partial differential equation systems. The basic ideas behind this methodology are very mathematically simple. In this study, the RBFs are employed to approximate the inhomogeneous terms via the DRM, while non-singular general solution leads to a boundary-only RBF formulation for homogenous solution. The present scheme is named as the boundary knot method (BKM) to differentiate it from the other numerical techniques. In particular, due to the use of nonsingular general solutions rather than singular fundamental solutions, the BKM is different from the method of fundamental solution in that the former does no require the artificial boundary and results in the symmetric system equations under certain conditions. The efficiency and utility of this new technique are validated through a number of typical numerical examples. Completeness concern of the BKM due to the only use of non-singular part of complete fundamental solution is also discussed.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A meshless, integration-free, and boundary-only RBF technique does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A meshless, integration-free, and boundary-only RBF technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A meshless, integration-free, and boundary-only RBF technique will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-185221

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.