Skip to main content
Article
A Fast Adaptive Wavelet Scheme in RBF Collocation for Nearly Singular Potential PDEs
CMES - Computer Modeling in Engineering and Sciences
  • Nicolas Ali Libre, Missouri University of Science and Technology
  • Arezoo Emdadi, Missouri University of Science and Technology
  • Edward J. Kansa
  • Mohammad Shekarchi
  • Mohammad Rahimian
Abstract

We present a wavelet based adaptive scheme and investigate the efficiency of this scheme for solving nearly singular potential PDEs. Multiresolution wavelet analysis (MRWA) provides a firm mathematical foundation by projecting the solution of PDE onto a nested sequence of approximation spaces. The wavelet coefficients then were used as an estimation of the sensible regions for node adaptation. The proposed adaptation scheme requires negligible calculation time due to the existence of the fast DiscreteWavelet Transform (DWT). Certain aspects of the proposed adaptive scheme are discussed through numerical examples. It has been shown that the proposed adaptive scheme can detect the singularities both in the domain and near the boundaries. Moreover, the proposed adaptive scheme can be utilized for capturing the regions with high gradient both in the solution and its spatial derivatives. Due to the simplicity of the proposed method, it can be efficiently applied to large scale nearly singular engineering problems.

Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
  • Adaptive distribution,
  • Multiquadrics,
  • Multiresolution analysis,
  • Potential problem,
  • RBF collocation,
  • Wavelet decomposition
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2008 Tech Science Press, All rights reserved.
Publication Date
3-1-2008
Publication Date
01 Mar 2008
Citation Information
Nicolas Ali Libre, Arezoo Emdadi, Edward J. Kansa, Mohammad Shekarchi, et al.. "A Fast Adaptive Wavelet Scheme in RBF Collocation for Nearly Singular Potential PDEs" CMES - Computer Modeling in Engineering and Sciences Vol. 38 Iss. 3 (2008) p. 263 - 284 ISSN: 1526-1492
Available at: http://works.bepress.com/arezoo-emdadi/4/