relation: https://khub.utp.edu.my/scholars/6595/
title: Performance analysis of successive over relaxation method for solving glioma growth model
creator: Hussain, A.
creator: Faye, I.
creator: Muthuvalu, M.S.
description: Brain tumor is one of the prevalent cancers in the world that lead to death. In light of the present information of the properties of gliomas, mathematical models have been developed by scientists to quantify the proliferation and invasion dynamics of glioma. In this study, one-dimensional glioma growth model is considered, and finite difference method is used to discretize the problem. Then, two stationary methods, namely Gauss-Seidel (GS) and Successive Over Relaxation (SOR) are used to solve the governing algebraic system. The performance of the methods are evaluated in terms of number of iteration and computational time. On the basis of performance analysis, SOR method is shown to be more superior compared to GS method. © 2016 Author(s).
publisher: American Institute of Physics Inc.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Hussain, A. and Faye, I. and Muthuvalu, M.S.  (2016) Performance analysis of successive over relaxation method for solving glioma growth model.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006049749&doi=10.1063%2f1.4968050&partnerID=40&md5=277d05f51d712b8e537a820de2e9e54b
relation: 10.1063/1.4968050
identifier: 10.1063/1.4968050