Numerical solution of Navier–Stokes equations using multiquadric radial basis function networks
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[1] E. Kansa. MULTIQUADRICS--A SCATTERED DATA APPROXIMATION SCHEME WITH APPLICATIONS TO COMPUTATIONAL FLUID-DYNAMICS-- II SOLUTIONS TO PARABOLIC, HYPERBOLIC AND ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS , 1990 .
[2] Leopold Škerget,et al. Mixed boundary elements for laminar flows , 1999 .
[3] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .
[4] J. Reddy,et al. The Finite Element Method in Heat Transfer and Fluid Dynamics , 1994 .
[5] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[6] M. J. D. Powell,et al. Radial basis functions for multivariable interpolation: a review , 1987 .
[7] C. Fletcher. Computational Galerkin Methods , 1983 .
[8] G. D. Davis. Natural convection of air in a square cavity: A bench mark numerical solution , 1983 .
[9] J. Z. Zhu,et al. The finite element method , 1977 .
[10] E. J. Kansa,et al. Application of the Multiquadric Method for Numerical Solution of Elliptic Partial Differential Equations , 2022 .
[11] G. Smith,et al. Numerical Solution of Partial Differential Equations: Finite Difference Methods , 1978 .
[12] S. Patankar. Numerical Heat Transfer and Fluid Flow , 2018, Lecture Notes in Mechanical Engineering.
[13] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[14] E. Kansa. Multiquadrics—A scattered data approximation scheme with applications to computational fluid-dynamics—I surface approximations and partial derivative estimates , 1990 .
[15] B. P. Leonard,et al. Why You Should Not Use 'Hybrid', 'Power-Law' or Related Exponential Schemes for Convective Modelling—There Are Much Better Alternatives , 1995 .
[16] U. Ghia,et al. High-Re solutions for incompressible flow using the Navier-Stokes equations and a multigrid method , 1982 .
[17] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[18] R. Cook,et al. Concepts and Applications of Finite Element Analysis , 1974 .
[19] G. J. Moridis,et al. The Laplace Transform Multiquadric Method: A Highly Accurate Scheme for the Numerical Solution of Partial Differential Equations , 1993 .
[20] Nam Mai-Duy,et al. Numerical solution of differential equations using multiquadric radial basis function networks , 2001, Neural Networks.
[21] Patrick J. Roache,et al. Verification and Validation in Computational Science and Engineering , 1998 .