A Family of Sixth-Order Compact Finite-Difference Schemes for the Three-Dimensional Poisson Equation
Author(s) -
Yaw Kyei,
John Paul Roop,
Guoqing Tang
Publication year - 2010
Publication title -
advances in numerical analysis
Language(s) - English
Resource type - Journals
eISSN - 1687-9570
pISSN - 1687-9562
DOI - 10.1155/2010/352174
Subject(s) - stencil , compact finite difference , mathematics , discretization , finite difference , poisson's equation , truncation (statistics) , finite difference coefficient , discrete poisson equation , finite difference method , stability (learning theory) , poisson distribution , superconvergence , function (biology) , mathematical analysis , order (exchange) , finite element method , uniqueness theorem for poisson's equation , computer science , boundary value problem , mixed finite element method , physics , statistics , computational science , finance , machine learning , evolutionary biology , biology , economics , thermodynamics
We derive a family of sixth-order compact finite-difference schemes for the three-dimensional Poisson's equation. As opposed to other research regarding higher-order compact difference schemes, our approach includes consideration of the discretization of the source function on a compact finite-difference stencil. The schemes derived approximate the solution to Poisson's equation on a compact stencil, and thus the schemes can be easily implemented and resulting linear systems are solved in a high-performance computing environment. The resulting discretization is a one-parameter family of finite-difference schemes which may be further optimized for accuracy and stability. Computational experiments are implemented which illustrate the theoretically demonstrated truncation errors
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