The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys (CSUR)
The Art of Computer Programming Volumes 1-3 Boxed Set
The Art of Computer Programming Volumes 1-3 Boxed Set
Advances in Engineering Software
Adaptive meshless centres and RBF stencils for Poisson equation
Journal of Computational Physics
On a Galerkin boundary node method for potential problems
Advances in Engineering Software
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In this work, a posteriori error estimator and an adaptive refinement process for the meshless finite point method (FPM), which is based on point collocation, are presented. The error indicator is formulated by the least-squares functional evaluation, used in the shape function development. New degrees of freedom or additional points can be incorporated without difficulty, in zones where the error estimator presents a high value, by means of h-p refinement processes. The validity of the proposed error estimator can be demonstrated by developments of numerical problems in mechanics of solids, using an adaptive refinement process of the solution.