Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3808
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dc.contributor.authorVigneswaran, R.
dc.contributor.authorKajanthan, S.
dc.date.accessioned2021-09-18T12:39:03Z
dc.date.accessioned2022-06-28T10:19:57Z-
dc.date.available2021-09-18T12:39:03Z
dc.date.available2022-06-28T10:19:57Z-
dc.date.issued2014
dc.identifier.citation: R.Vigneswaran and S.Kajanthan, “Some Efficient Implementation Schemes for Implicit Runge- Kutta Methods”, International Journal of Pure and Applied Mathematics (IJPAM), vol.93, no.4, pp.525–540, 2014. https://doi.org/10.12732/ijpam.v93i4.4.en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/3808-
dc.description.abstractSeveral iteration schemes have been proposed to solve the nonlinear equations arising in the implementation of implicit Runge-Kutta methods. As an alternative to the modified Newton scheme, some iteration schemes with reduced linear algebra costs have been proposed A scheme of this type proposed in [9] avoids expensive vector transformations and is computationally more efficient. The rate of convergence of this scheme is examined in [9] when it is applied to the scalar test differential equation x ′ = qx and the convergence rate depends on the spectral radius of the iteration matrix M(z), a function of z = hq, where h is the step-length. In this scheme, we require the spectral radius of M(z) to be zero at z = 0 and at z = ∞ in the z-plane in order to improve the rate of convergence of the scheme. New schemes with parameters are obtained for three-stage and four-stage Gauss methods. Numerical experiments are carried out to confirm the results obtained here.en_US
dc.language.isoenen_US
dc.publisherAcademic Publications, Ltden_US
dc.subjectImplementationen_US
dc.subjectGauss methodsen_US
dc.subjectRate of convergenceen_US
dc.subjectStiff sys- temsen_US
dc.titleSome efficient implementation schemes for implicit RUNGE-KUTTA methodsen_US
dc.typeArticleen_US
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