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On the Computationally Efficient Numerical Solution to the Helmholtz Equation

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dc.contributor.author Angwenyi, N. David
dc.contributor.author Lawi, George
dc.contributor.author Ojiema, Michael
dc.contributor.author Owino, Maurice
dc.date.accessioned 2023-08-14T13:37:18Z
dc.date.available 2023-08-14T13:37:18Z
dc.date.issued 2018-11-27
dc.identifier.citation David, A. N., George, L., Michael, O., & Maurice, O. (2014). On the computationally efficient numerical solution to the Helmholtz equation. In International Mathematical Forum (Vol. 9, No. 6, pp. 259-266). en_US
dc.identifier.uri http://dx.doi.org/10.12988/imf.2014.311224
dc.identifier.uri http://ir-library.kabianga.ac.ke/handle/123456789/666
dc.description Research Work On the Computationally Efficient Numerical Solution to the Helmholtz Equation en_US
dc.description.abstract Named after Hermann L. F. von Helmholtz (1821-1894), Helmholtz equation has obtained application in many fields: investigation of acaustic phenomena in aeronautics, electromagnetic application, migration in 3-D geophysical ap plication, among many other areas. As shown in [2], Helmholtz equation is used in weather prediction at the Met Office in UK. Inefficiency, that is the bottleneck in Numerical Weather Prediction, arise partly from solving of the Helmholtz equation. This study investigates the computationally efficient it erative method for solving the Helmholtz equation. We begin by analysing the condition for stability of Jacobi Iterative method using Von Neumann method. Finally, we conclude that Bi-Conjugate Gradient Stabilised Method is the most computationally efficient method. en_US
dc.language.iso en en_US
dc.publisher International Mathematical Forum en_US
dc.subject Computationally Efficient en_US
dc.subject Helmholtz Equation en_US
dc.title On the Computationally Efficient Numerical Solution to the Helmholtz Equation en_US
dc.type Article en_US


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