The finite pointset method is a meshless Lagrangian particle method. In the application to incompressible viscous fluid flow the solution of Poisson problems on the cloud of particles is a fundamental subproblem. A valuable property of finite difference approximations to the Laplace operator is the positivity of stencils, i.e., all weights of neighboring points are positive. Classical least squares approaches do not guarantee positive stencils. We present a new approach, based on linear minimization, which enforces positivity of stencils and additionally yields a minimal number of nonzero stencil entries. The resulting system matrices are M-matrices, which is of particular interest with respect to multigrid solvers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A.J. Chorin. Numerical solution of the Navier-Stokes equations. Math. Comput., 22:745-762, 1968.
V. Chvátal. Linear programming. W. H. Freeman and Company, 1983.
J. Kuhnert. General Smoothed Particle Hydrodynamics. Dissertation, Depart- ment of Mathematics, University of Kaiserslautern. Shaker, 1999.
S. Manservisi and S. Tiwari. Modeling incompressible flows by least-squares approximation. The Nepali Math. Sc. Report, 20, 1&2:1-23, 2002.
C. Mense and R. Nabben. On algebraic multilevel methods for nonsymmetric system - Convergence results. SIAM J. Numer. Anal, to appear, 2006.
J.J. Monaghan. An Introduction to SPH. Comput. Phys. Commun., 48:89-96, 1988.
B. Seibold. M-matrices in meshless finite difference methods. Dissertation, Department of Mathematics, University of Kaiserslautern. Shaker, 2006.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Seibold, B. (2008). Meshless Poisson Problems in the Finite Pointset Method: Positive Stencils and Multigrid. In: Bonilla, L.L., Moscoso, M., Platero, G., Vega, J.M. (eds) Progress in Industrial Mathematics at ECMI 2006. Mathematics in Industry, vol 12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71992-2_156
Download citation
DOI: https://doi.org/10.1007/978-3-540-71992-2_156
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71991-5
Online ISBN: 978-3-540-71992-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)