Year: 2016
Communications in Computational Physics, Vol. 20 (2016), Iss. 5 : pp. 1381–1404
Abstract
Even though there are various fast methods and preconditioning techniques available for the simulation of Poisson problems, little work has been done for solving Poisson's equation by using the Helmholtz decomposition scheme. To bridge this issue, we propose a novel efficient algorithm to solve Poisson's equation in irregular two dimensional domains for electrostatics through a quasi-Helmholtz decomposition technique – the loop-tree basis decomposition. It can handle Dirichlet, Neumann or mixed boundary problems in which the filling media can be homogeneous or inhomogeneous. A novel point of this method is to first find the electric flux efficiently by applying the loop-tree basis functions. Subsequently, the potential is obtained by finding the inverse of the gradient operator. Furthermore, treatments for both Dirichlet and Neumann boundary conditions are addressed. Finally, the validation and efficiency are illustrated by several numerical examples. Through these simulations, it is observed that the computational complexity of our proposed method almost scales as $\mathcal{O}$$(N)$, where $N$ is the triangle patch number of meshes. Consequently, this new algorithm is a feasible fast Poisson solver.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.230813.291113a
Communications in Computational Physics, Vol. 20 (2016), Iss. 5 : pp. 1381–1404
Published online: 2016-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 24
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A novel numerical method for steady-state thermal simulation based on loop-tree and HBRWG basis functions
Chen, Liang
Tang, Min
Ma, Zuhui
Mao, Junfa
Numerical Heat Transfer, Part B: Fundamentals, Vol. 78 (2020), Iss. 5 P.348
https://doi.org/10.1080/10407790.2020.1787040 [Citations: 0]