A new Monte Carlo method for Neumann problems

The Monte Carlo methods (MCMs) have been applied with great success to the solution of the elliptic differential equation, but none of them in their present form can be used when a mixed boundary condition is involved. To overcome this limitation existing in classical MCMs, a new fixed random walk m...

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Bibliographic Details
Published inProceedings of SOUTHEASTCON '96 pp. 92 - 95
Main Authors Sadiku, M.N.O., Keming Gu
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Boundary conditions
Dielectrics
Difference equations
Differential equations
Iterative methods
Laplace equations
Permittivity
Poisson equations
Research and development
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Summary:The Monte Carlo methods (MCMs) have been applied with great success to the solution of the elliptic differential equation, but none of them in their present form can be used when a mixed boundary condition is involved. To overcome this limitation existing in classical MCMs, a new fixed random walk method, known as the triangular mesh random walk method, is presented for the elliptical problem with mixed boundary condition. This method can be used to solve many electromagnetic field problems. The numerical calculation involving some two-dimensional problems confirms the efficiency of triangular mesh random walk method.
ISBN:9780780330887
0780330889
DOI:10.1109/SECON.1996.510033