Research article

A generalized iterative scheme with computational results concerning the systems of linear equations

  • Received: 29 August 2022 Revised: 14 December 2022 Accepted: 20 December 2022 Published: 04 January 2023
  • MSC : 65F10, 90C30

  • In this article, a new generalized iterative technique is presented for finding the approximate solution of a system of linear equations $ Ax = b $. The efficiency of iterative technique is analyzed by implementing it on some examples, and then comparing with existing methods. A parameter introduced in the method plays very vital role for a better and rapid solution. Convergence analysis is also examined. Findings of this paper may stimulate further research in this area.

    Citation: Kamsing Nonlaopon, Farooq Ahmed Shah, Khaleel Ahmed, Ghulam Farid. A generalized iterative scheme with computational results concerning the systems of linear equations[J]. AIMS Mathematics, 2023, 8(3): 6504-6519. doi: 10.3934/math.2023328

    Related Papers:

  • In this article, a new generalized iterative technique is presented for finding the approximate solution of a system of linear equations $ Ax = b $. The efficiency of iterative technique is analyzed by implementing it on some examples, and then comparing with existing methods. A parameter introduced in the method plays very vital role for a better and rapid solution. Convergence analysis is also examined. Findings of this paper may stimulate further research in this area.



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    [1] G. Cramer, Introduction a l'analyse des lignes courbes algébriques, A Geneva: Fréres Cramer and Cl. Philibert, 1730.
    [2] R. L. Burden, J. D. Faires, Numerical analysis, Boston: PWS, 1980.
    [3] Y. Saad, Iterative methods for sparse linear systems, SIAM, 2003. https://doi.org/10.1137/1.9780898718003
    [4] D. K. Salkuyeh, Generalized Jacobi and Gauss-Seidel methods for solving linear system of equations, Numer. Math. J. Chin. Univ., 16 (2007), 164–170.
    [5] R. S. Varga, Iterative analysis, Berlin: Springer, 1962.
    [6] D. M. Young, Iterative Solution of Large Linear Systems, Elsevier, 2014.
    [7] C. E. Froberg, Numerical Mathematics: Theory and computer applications, Basic Books, 1985.
    [8] A. Hadjidimos, Accelerated overrelaxation method, Math. Comput., 32 (1978), 149–157. http://doi.org/10.2307/2006264 doi: 10.2307/2006264
    [9] G. Avdelas, A. Hadjidimos, A. Yeyios, Some theoretical and computational results concerning the accelerated overrelaxation (AOR) method, Math. Rev. Anal. Numér. Théor. Approximation, 9 (1980), 5–10.
    [10] A. I. Faruk, A. Ndanusa, Improvements of successive overrelaxation iterative (SOR) method for L-matrices, SJBAS, 1 (2020), 218–223.
    [11] Z. Mayaki, A. Ndanusa, Modified successive overrelaxation (SOR) type methods for M-matrices, Sci. World J., 14 (2019), 1–5.
    [12] K. Audu, Y. Yahaya, K. Adeboye, U. Abubakar, A. Ndanusa, Triple accelerated over-relaxation method for system of linear equations, Int. J. Math. Educ. Sci. Technol., 16 (2020), 137–146.
    [13] Z. Z. Bai, The monotone convergence rate of the parallel nonlinear AOR method, Comput. Math. Appl., 31 (1996), 1–8. https://doi.org/10.1016/0898-1221(96)00013-2 doi: 10.1016/0898-1221(96)00013-2
    [14] Z. Z. Bai, Asynchronous multisplitting AOR methods for a class of systems of weakly nonlinear equations, Appl. Math. Comput., 98 (1999), 49–59. https://doi.org/10.1016/S0096-3003(97)10154-0 doi: 10.1016/S0096-3003(97)10154-0
    [15] R. Ali, I. Khan, A. Ali, A. Mohamed, Two new generalized iteration methods for solving absolute value equations using m-matrix, AIMS Mathematics, 7 (2022), 8176–8187. https://doi.org/10.3934/math.2022455 doi: 10.3934/math.2022455
    [16] L. Cvetkovic, V. Kostic, A note on the convergence of the AOR method, Appl. Math. Comput., 194 (2007), 394–399. https://doi.org/10.1016/j.amc.2007.04.030 doi: 10.1016/j.amc.2007.04.030
    [17] M. Fallah, S. Edalatpanah, On the some new preconditioned generalized AOR methods for solving weighted linear least squares problems, IEEE, 8 (2020), 33196–33201. https://doi.org/10.1007/s40314-016-0350-8 doi: 10.1007/s40314-016-0350-8
    [18] Z. X. Gao, T. Z. Huang, Convergence of AOR method, Appl. Math. Comput., 176 (2006), 134–140. https://doi.org/10.1016/j.amc.2005.09.020
    [19] F. Hailu, G. G. Gonfa, H. M. Chemeda, Second degree generalized successive over relaxation method for solving system of linear equations, MEJS, 2 (2020), 60–71. https://doi.org/10.4314/mejs.v12i1.4 doi: 10.4314/mejs.v12i1.4
    [20] V. Kumar Vatti, G. Chinna Rao, S. S. Pai, Parametric Accelerated Over Relaxation (PAOR) method, Adv. Intell. Syst. Comput., 979 (2020), 283–288. https://doi.org/10.1007/978-981-15-3215-3-27 doi: 10.1007/978-981-15-3215-3-27
    [21] W. Li, W. Sun, Comparison results for parallel multisplitting methods with applications to AOR methods, Linear Algebra Appl., 331 (2001), 131–144. https://doi.org/10.1016/S0024-3795(01)00276-2 doi: 10.1016/S0024-3795(01)00276-2
    [22] A. Yeyios, A necessary condition for the convergence of the accelerated overrelaxation (AOR) method, J. Comput. Appl. Math., 26 (1989), 371–373. https://doi.org/10.1016/0377-0427(89)90309-9 doi: 10.1016/0377-0427(89)90309-9
    [23] J. Y. Yuan, X. Q. Jin, Convergence of the generalized AOR method, Appl. Math. Comput., 99 (1999), 35–46. https://doi.org/10.1016/S0096-3003(97)10175-8 doi: 10.1016/S0096-3003(97)10175-8
    [24] Y. T. Li, C. X. Li, S. L. Wu, Improvements of preconditioned AOR iterative method for L-matrices, J. Comput. Appl. Math., 206 (2007), 656–665. https://doi.org/10.1016/j.cam.2006.08.019 doi: 10.1016/j.cam.2006.08.019
    [25] Y. T. Li, C. X. Li, S. L. Wu, Improving AOR method for consistent linear systems, Appl. Math. Comput., 186 (2007), 379–388. https://doi.org/10.1016/j.amc.2006.07.097 doi: 10.1016/j.amc.2006.07.097
    [26] Z. Q. Wang, Optimization of the parameterized Uzawa preconditioners for saddle point matrices, J. Comput. Appl. Math., 226 (2009), 136–154. https://doi.org/10.1016/j.cam.2008.05.019 doi: 10.1016/j.cam.2008.05.019
    [27] M. Wu, L. Wang, Y. Song, Preconditioned AOR iterative method for linear systems, Appl. Numer. Math., 57 (2007), 672–685. https://doi.org/10.1016/j.apnum.2006.07.029 doi: 10.1016/j.apnum.2006.07.029
    [28] S. Wu, T. Huang, A modified AOR-type iterative method for L-matrix linear systems, ANZIAM, 49 (2007), 281–292. https://doi.org/10.1017/S1446181100012840 doi: 10.1017/S1446181100012840
    [29] J. H. Yun, Comparison results of the preconditioned AOR methods for L-matrices, Appl. Math. Comput., 218 (2011), 3399–3413. https://doi.org/10.1016/j.amc.2011.08.085 doi: 10.1016/j.amc.2011.08.085
    [30] J. W. Pearson, J. Pestana, Preconditioners for Krylov subspace methods: An overview, GAMM-Mitt., 43 (2020), e202000015. https://doi.org/10.1002/gamm.202000015 doi: 10.1002/gamm.202000015
    [31] Z. Z. Bai, Sharp error bounds of some Krylov subspace methods for non-Hermitian linear systems, Appl. Math. Comput., 109 (2000), 273–285.
    [32] R. Kehl, R. Nabben, D. B. Szyld, Adaptive multilevel Krylov methods, Electron. Trans. Numer. Anal., 51 (2019).
    [33] E. Kreyszig, Introductory Functional analysis with applications, Wiley, 1991.
    [34] M. Darivishi, The best values of parameters in accelerated successive overrelaxation methods, WSEAS Trans. Math., 3 (2004), 505–510.
    [35] M. A. Noor, J. Iqbal, K. I. Noor, E. Al-Said, On an iterative method for solving absolute value equations, Optim. Lett., 6 (2012), 1027–1033. https://doi.org/10.1007/s11590-011-0332-0 doi: 10.1007/s11590-011-0332-0
    [36] M. A. Noor, K. I. Noor, M. Waseem, A new decomposition technique for solving a system of linear equations, J. Assoc. Arab Univ. Basic Appl. Sci., 16 (2014), 27–33. http://doi.org/10.1016/j.jaubas.2013.07.001 doi: 10.1016/j.jaubas.2013.07.001
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