A new approach based on the genetic algorithm for finding a good shape parameter in solving partial differential equations by Kansa's method
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Publication:298622
DOI10.1016/j.amc.2014.10.012zbMath1338.65254OpenAlexW1964971948MaRDI QIDQ298622
F. Blanchet-Sadri, M. Dambrine
Publication date: 21 June 2016
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2014.10.012
Related Items (10)
A shift‐adaptive meshfree method for solving a class of initial‐boundary value problems with moving boundaries in one‐dimensional domain ⋮ Radial basis function collocation method for an elliptic problem with nonlocal multipoint boundary condition ⋮ Doubly stochastic radial basis function methods ⋮ Coupled Kansa and hybrid optimization methodological approach for Kolmogorov-Feller equations ⋮ Meshless analysis of elliptic interface boundary value problems ⋮ A hybrid radial basis functions collocation technique to numerically solve fractional advection–diffusion models ⋮ Development of the Kansa method for solving seepage problems using a new algorithm for the shape parameter optimization ⋮ The sample solution approach for determination of the optimal shape parameter in the multiquadric function of the Kansa method ⋮ Collocation method based on shifted Chebyshev and radial basis functions with symmetric variable shape parameter for solving the parabolic inverse problem ⋮ Local meshless methods for second order elliptic interface problems with sharp corners
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