compactly supported radial basis functions have been selected as basisfunctions for the derivation of closed-form particular solution in the process of solving certain high order partial differential equations in 3D....
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compactly supported radial basis functions have been selected as basisfunctions for the derivation of closed-form particular solution in the process of solving certain high order partial differential equations in 3D. The method of particular solutions and the method of fundamental solutions are employed to numerically evaluate the particular solution and homogeneous solution of a 3D problem. Two numerical examples are given to demonstrate that the proposed method is applicable for handling large-scale problems. (C) 2014 Elsevier Ltd. All rights reserved.
In this article, we combine the compactlysupportedradialbasis function (RBF) collocation method and the scaling iterative algorithm to compute and visualize the multiple solutions of the Lane-Emden-Fowler equation ...
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In this article, we combine the compactlysupportedradialbasis function (RBF) collocation method and the scaling iterative algorithm to compute and visualize the multiple solutions of the Lane-Emden-Fowler equation on a bounded domain Omega subset of R-2 with a homogeneous Dirichlet boundary condition. This novel method has the advantage over traditional methods, which approximate the spatial derivatives using either the finite difference method (FDM), the finite element method (FEM), or the boundary element method (BEM), because it does not require a mesh over the domain. As a result, it needs less computational time than the globally supported RBF collocation method. When compared with the reference solutions in (Chen, Zhou, and Ni, Int J Bifurcation Chaos 10 (2000), 565-1612), our numerical results demonstrate the accuracy and ease of implementation of this method. It is therefore much more suitable for dealing with the complex domains than the FEM, the FDM, and the BEM. (c) 2010 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq 28: 554-572, 2012
A hierarchical scheme is presented for smoothly interpolating scattered data with radialbasisfunctions of compact support. A nested sequence of subsets of the data is computed efficiently using successive Delaunay t...
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A hierarchical scheme is presented for smoothly interpolating scattered data with radialbasisfunctions of compact support. A nested sequence of subsets of the data is computed efficiently using successive Delaunay triangulations. The scale of the basis function at each level is determined from the current density of the points using information from the triangulation. The method is rotationally invariant and has good reproduction properties. Moreover the solution can be calculated and evaluated in acceptable computing time.
One of the challenges faced by all molecular docking algorithms is that of being able to discriminate between correct results and false positives obtained in the simulations. The scoring or energetic function is the o...
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One of the challenges faced by all molecular docking algorithms is that of being able to discriminate between correct results and false positives obtained in the simulations. The scoring or energetic function is the one that must fulfill this task. Several scoring functions have been developed and new methodologies are still under development. In this paper, we have employed the compactly supported radial basis functions (CSRBF) to create analytical representations of molecular surfaces, which are then included as key components of a new scoring function for molecular docking. The method proposed here achieves a better ranking of the solutions produced by the program DOCK, as compared with the ranking done by its native contact scoring function. Our new analytical scoring function based on CSRBF can be easily included in different available docking programs as a reliable and quick filter in large-scale docking simulations.
Highly oscillatory integrals are frequently involved in applied problems, particularly for large-scale data and high frequencies. Levin method with global radialbasisfunctions was implemented for numerical evaluatio...
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Highly oscillatory integrals are frequently involved in applied problems, particularly for large-scale data and high frequencies. Levin method with global radialbasisfunctions was implemented for numerical evaluation of these integrals in the literature. However, when the frequency is large or nodal points are increased, the Levin method with global radialbasisfunctions faces several issues such as large condition number of the interpolation matrix and computationally inefficiency of the method, etc. In this paper, the Levin method with compactly supported radial basis functions is proposed to handle deficiencies of the method. In addition, theoretical error bounds and stability analysis of the proposed methods are performed. Several numerical examples are included to verify the accuracy, efficiency, and well-conditioned behavior of the proposed methods.
In this paper, a meshless computational model by integrating the method of fundamental solutions (MFS) and the method of particular solutions fulfilled with compactly supported radial basis functions (CSRBF) is develo...
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In this paper, a meshless computational model by integrating the method of fundamental solutions (MFS) and the method of particular solutions fulfilled with compactly supported radial basis functions (CSRBF) is developed for three-dimensional (3D) linear elasticity with the presence of body forces. The corresponding displacement and stress particular solution kernels across the support radius are firstly derived using Galerkin vectors and then are used to modify the boundary conditions. Subsequently, the classical meshless MFS, in which the homogeneous part of the full solutions are approximated using the linear combination of displacement and stress fundamental solutions in 3D linear elasticity, is formulated for solving the homogeneous 3D linear elastic system. Finally, several examples are presented to demonstrate the accuracy and efficiency of the present meshless method and also the effect of sparseness of interpolation matrix in CSRBF interpolation is discussed. (C) 2015 Elsevier Ltd. All rights reserved.
In this paper, a new approach is proposed to solve the approximate implicitization of parametric surfaces. it is primarily based on multivariate interpolation of scattered data by using compactlysupportedradial basi...
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In this paper, a new approach is proposed to solve the approximate implicitization of parametric surfaces. it is primarily based on multivariate interpolation of scattered data by using compactly supported radial basis functions. Experimental results are provided to illustrate the proposed method is flexible and effective. Crown Copyright (c) 2008 Published by Elsevier Ltd. All rights reserved.
A new computational model by integrating the boundary element method and the compactly supported radial basis functions (CSRBF) is developed for three-dimensional (3D) linear elasticity with the presence of body force...
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A new computational model by integrating the boundary element method and the compactly supported radial basis functions (CSRBF) is developed for three-dimensional (3D) linear elasticity with the presence of body forces. The corresponding displacement and stress particular solution kernels across the supported radius in the CSRBF are obtained for inhomogeneous term interpolation. Subsequently, the classical dual reciprocity boundary element method, in which the domain integrals due to the presence of body forces are transferred into equivalent boundary integrals, is formulated by introducing locally supported displacement and stress particular solution kernels for solving the inhomogeneous 3D linear elastic system. Finally, several examples are presented to demonstrate the accuracy and efficiency of the present method.
In this paper we re-examine Wendland's strategy for the construction of compactlysupported positive definite radialbasisfunctions. We acknowledge that this strategy can be modified to capture a much larger rang...
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In this paper we re-examine Wendland's strategy for the construction of compactlysupported positive definite radialbasisfunctions. We acknowledge that this strategy can be modified to capture a much larger range of functions, including the so-called missing Wendland functions which have been the subject of a recent paper by Schaback (Adv Comput Math 34:67-81, 2011). Our approach is to focus on a general integral representation of such functions and we will show how a careful evaluation of this integral leads to new closed form expressions for both Wendland's original functions and the missing ones. The resulting expressions are easy to code and so provide the potential user with a quick way of accessing a desired example for a given application.
radialbasisfunctions (RBFs), first proposed for interpolation of scattered data, have gotten the scientific community interest in the past two decades, with applications ranging from interpolation with the dual reci...
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radialbasisfunctions (RBFs), first proposed for interpolation of scattered data, have gotten the scientific community interest in the past two decades, with applications ranging from interpolation with the dual reciprocity approach of the boundary element method to mesh-free finite element applications. The use of compactlysupported RBFs (CSRBFs) has spread due to their localization properties. However, the mathematical derivation of continuous polynomial functions for different continuity requirements can be quite cumbersome, and although a few classes of functions have already been proposed, there is still room for nonpolynomial trial functions. In this paper, two new classes of CSRBFs are presented for which the continuity requirements are guaranteed. To justify the novelty claim, a view of RBF literature is conducted. The first function class proposed consists of a combination of different inverse polynomial functions, similar to inverse quadric functions, and is thus called inverse class. The second class is called the rational class, in which the functions are obtained as a ratio of two polynomial functions. The proposed functions are used on an approximation software, which takes advantage of their simplicity. The results demonstrate the accuracy and convergence of the proposed functions when compared to some referenced CSRBFs.
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