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dc.contributor.authorAngwenyi, N. David-
dc.contributor.authorLawi, George-
dc.contributor.authorOjiema, Michael-
dc.contributor.authorOwino, Maurice-
dc.date.accessioned2024-05-31T11:20:00Z-
dc.date.available2024-05-31T11:20:00Z-
dc.date.issued2018-02-
dc.identifier.urihttp://dx.doi.org/10.12988/imf.2014.311224-
dc.identifier.urihttp://ir-library.mmust.ac.ke:8080/xmlui/handle/123456789/2848-
dc.description.abstractNamed after Hermann L. F. von Helmholtz (1821-1894), Helmholtz equation has obtained application in many elds: investigation of acaustic phenomena in aeronautics, electromagnetic application, migration in 3-D geophysical application, among many other areas. As shown in [2], Helmholtz equation is used in weather prediction at the Met O ce in UK. Ine ciency, that is the bottleneck in Numerical Weather Prediction, arise partly from solving of the Helmholtz equation. This study investigates the computationally e cient iterative 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 e cient method.en_US
dc.language.isoenen_US
dc.publisherInternational Mathematical Forum,en_US
dc.subjectOn, Computationally, E_cient, Numerical, Solution, Helmholtz, Equationen_US
dc.titleOn the Computationally Efficient Numerical Solution to the Helmholtz Equationen_US
dc.typeArticleen_US
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