An Efficient Tri-Parametric Jarratt Family for Nonlinear Models Solution
DOI:
https://doi.org/10.26713/cma.v15i2.2461Keywords:
Nonlinear model, Iterative scheme, Jarratt’s scheme, Rational approximation function, Convergence orderAbstract
This paper offers an efficient and competitive tri-parametric family of iterative schemes for deciding nonlinear and systems of nonlinear models solution. The family has quartic-convergence order and is based on the composition of the Jarratt’s perturbed Newton method with a designed iterative function that involves rational approximation function of degree two in both its denominator and numerator. The new tri-parametric family is further extended to solving nonlinear models in n-dimensional form and its convergence investigation established to retain its quartic-convergence order. By varying the parameters in the family, enabled the rediscovery of many well established iterative schemes. The applicability and computational performance of some specified family examples, on some nonlinear models were also verified and results compared with some of known and established schemes that are also family members.
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References
S. A. Abbasbandy, Extended Newton’s method for a system of nonlinear equations by modified Adomian decomposition method, Applied Mathematics and Computation 170(1) (2005), 648 – 6567, DOI: 10.1016/j.amc.2004.12.048.
R. Behl, V. Kanwar and K. K. Sharma, Optimal equi-scaled families of Jarratt’s method for solving equations, International Journal of Computer Mathematics 90 (2013), 408 – 422, DOI: 10.1080/00207160.2012.719078.
S. C. Chapra and R. P. Canale, Numerical Methods for Engineers: With Software and Programming Applications, 4th edition, McGraw-Hill Publishing Co., 944 pages (2001).
C. Chun, M. Y. Lee, B. Neta and J. Džuni´c, On optimal fourth-order iterative methods free from second derivative and their dynamics, Applied Mathematics Computation 218(11) (2012), 6427 – 6438, DOI: 10.1016/j.amc.2011.12.013.
C. Grosan and A. Abraham, A new approach for solving nonlinear equations systems, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans 38(3) (2008), 1083 – 4427, DOI: 10.1109/TSMCA.2008.918599.
P. Jarratt, Some fourth order multipoint iterative methods for solving equations, Mathematics of Computation 20 (1966), 434 – 437, DOI: 10.2307/2003602.
V. Kanwar, S. Kumar and R. Behl, Several new families of Jarratt’s method for solving systems of nonlinear equations, Applications and Applied Mathematics: An International Journal 8(2) (2013), Article 23, URL: https://digitalcommons.pvamu.edu/aam/vol8/iss2/23.
M. Q. Khirallah and M. A. Hafiz, Solving system of nonlinear equations using the family of Jarratt methods, International Journal of Differential Equations and Applications 12(2) (2013), 69 – 83, DOI: 10.12732/ijdea.v12i1.931.
H. Kung and J. F. Traub, Optimal order of one-point and multi-point iteration, Journal of the ACM 21(4) (1974), 643 – 651, DOI: 10.1145/321850.321860.
K. Meintjes and A. P. Morgan, Chemical equilibrium systems as numerical test problems, ACM Transactions on Mathematical Software 16(2) (1990), 143 – 151, DOI: 10.1145/78928.78930.
O. Ogbereyivwe and K. O. Muka, Multistep quadrature based methods for nonlinear system of equations with singular Jacobian, Journal of Applied Mathematics and Physics 7(3) (2019), 702 – 725, DOI: 10.4236/jamp.2019.73049.
O. Ogbereyivwe and O. Izevbizua, A three-free-parameter class of power series based iterative method for approximation of nonlinear equations solution, Iranian Journal of Numerical Analysis and Optimization 13(2) (2023), 157 – 169, DOI: 10.22067/IJNAO.2022.74901.1095.
O. Ogbereyivwe and V. Ojo-Orobosa, Family of optimal two-step fourth order iterative method and its extension for solving nonlinear equations, Journal of Interdisciplinary Mathematics 24(5) (2022), 1347 – 1365, DOI: 10.1080/09720502.2021.1884393.
M. S. Petkovi´c, Remarks on “On a general class of multipoint root-finding methods of high computational efficiency”, SIAM Journal on Numerical Analysis 49(3) (2011), 1317 – 1319, DOI: jstor.org/stable/23074334.
U. K. Qureshi, Z. A. Kalhoko, A. A. Shaikh and S. Jamali, Sixth order numerical iterated method of open methods for solving nonlinear applications problems, Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 57(2) (2020), 35 – 40.
R. Sharma and A. Behl, An optimal fourth order iterative method for solving nonlinear equations and its dynamics, Journal of Complex Analysis 2015 (2015), 9 pages, DOI: 10.1155/2015/259167.
J. R. Sharma, R. K. Guha and R. Sharma, An efficient fourth order weighted-Newton method for systems of nonlinear equations, Numerical Algorithms 62 (2013), 307 – 323, DOI: 10.1007/s11075-012-9585-7.
P. Sivakumar and J. Jayaraman, Some new higher order weighted newton methods for solving nonlinear equation with applications, Mathematical and Computational Applications 24(2) (2019), 59, DOI: 10.3390/mca24020059.
J. F. Traub, Iterative Methods for the Solution of Equations, Prentice-Hall, Englewood Cliffs, New Jersey (1964).
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