2021
DOI: 10.48550/arxiv.2104.13758
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A Non-Nested Multilevel Method for Meshless Solution of the Poisson Equation in Heat Transfer and Fluid Flow

Anand Radhakrishnan,
Michael Xu,
Shantanu Shahane
et al.

Abstract: We present a non-nested multilevel algorithm for solving the Poisson equation discretized at scattered points using polyharmonic radial basis function (PHS-RBF) interpolations. We append polynomials to the radial basis functions to achieve exponential convergence of discretization errors. The interpolations are performed over local clouds of points and the Poisson equation is collocated at each of the scattered points, resulting in a sparse set of discrete equations for the unkown variables. To solve this set … Show more

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Cited by 5 publications
(6 citation statements)
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“…We have used here a simple single-grid SOR scheme for its simplicity and economy. However, it can be made to converge much faster by using a multilevel strategy, as in our recent work [32].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We have used here a simple single-grid SOR scheme for its simplicity and economy. However, it can be made to converge much faster by using a multilevel strategy, as in our recent work [32].…”
Section: Discussionmentioning
confidence: 99%
“…The SOR solver can be easily coupled with a multilevel method to accelerate convergence. We are in the process of developing such an algorithm [32]…”
Section: Poisson Equation With Manufactured Solution Using Meshless D...mentioning
confidence: 99%
“…Flatter functions give higher accuracy but result in coefficient matrices of high condition numbers [39][40][41][42][43][44][45][46][47][48][49]. Appending polynomials to the RBF has been shown to give high accuracy, depending on the degree of the highest monomial appended [19][20][21][22][50][51][52][53][54][55][56]. Ideally, high order of accuracy can be achieved by appending suitably high order monomials.…”
Section: Multiquadrics (Mq)mentioning
confidence: 99%
“…earlier [45,49,50] that when the RBFs are appended with polynomials and the derivatives of a smooth function are evaluated, the discretization errors converge exponentially per the degree of the appended polynomial. RBFs have been originally used as global interpolants of scattered data [51] and to solve partial differential equations [52][53][54], but the size of the problem has been limited because of the condition number of the solution matrix.…”
Section: Introductionmentioning
confidence: 99%