2016
DOI: 10.4208/cicp.230813.291113a
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A Novel Efficient Numerical Solution of Poisson's Equation for Arbitrary Shapes in Two Dimensions

Abstract: We propose a novel efficient algorithm to solve Poisson equation in irregular two dimensional domains for electrostatics. It can handle Dirichlet, Neumann or mixed boundary problems in which the filling media can be homogeneous or inhomogeneous. The basic idea of the new method is solve the problem in three steps: (i) First solve the equation ∇ · D = ρ. The inverse of the divergence operator in a restricted subspace is found to yield the electric flux density D by a fast direct solver in O(N ) operations. The … Show more

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Cited by 3 publications
(4 citation statements)
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“…The Poisson solver through looptree basis has demonstrated its efficiency in [18]. Here, we further compare the difference between the proposed method and traditional nodal basis FEM in terms of basis function space.…”
Section: Comparison With Nodal Basis Femmentioning
confidence: 99%
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“…The Poisson solver through looptree basis has demonstrated its efficiency in [18]. Here, we further compare the difference between the proposed method and traditional nodal basis FEM in terms of basis function space.…”
Section: Comparison With Nodal Basis Femmentioning
confidence: 99%
“…A thorough description of handling these two problems can be found in [18]. The repetitious details need not be given here.…”
Section: R) (322)mentioning
confidence: 99%
See 1 more Smart Citation
“…While the Poisson equation appears as the privileged alternative, it requires the knowledge of accurate boundary conditions that only the integral approach can provide, except in the very specific case of periodic boundary conditions. The gradual increase in the precision of models and simulations is a considerable source of motivation to derive new formulae, and explore various techniques and algorithms to solve this problem more and more efficiently (Grandclément et al, 2001;Matsumoto and Hanawa, 2003;Huré, 2005;Jusélius and Sundholm, 2007;Li et al, 2008;Guillet and Teyssier, 2011;Ma et al, 2012).…”
mentioning
confidence: 99%