Abstract
In this paper, a uni-parametric class of third-order iterative algorithms for solving systems of nonlinear equations is proposed. The local convergence of the suggested schemes is studied using generalized Lipschitz-type condition on the first-order Fréchet derivative. Furthermore, we analyze the numerical stability of the new methods applying complex dynamics tool. The nonlinear systems related to the equation of molecular interaction, a boundary value problem, the integral equation from Chandrasekhar’s work, etc. are discussed. The most interesting fact about the proposed third-order family is that it generates a super convergent scheme (for \(\gamma =2\)) for solving quadratic nonlinear systems (QNS). This particular method produces much better results for QNS in comparison with other third-order schemes. Also, it is observed that the approximate computational order of convergence (ACOC) of this scheme (for \(\gamma =2\)) is approximately four (3.99–4.00) while solving QNS.
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Ray, S.S.: Numerical Analysis with Algorithms and Programming. CRC Press, New York (2016)
Rach, R.C., Duan, J.S., Wazwaz, A.M.: Solving coupled Lane–Emden boundary value problems in catalytic diffusion reactions by the Adomian decomposition method. J. Math. Chem. 52(1), 255–267 (2014)
Singh, R., Nelakanti, G., Kumar, J.: A new efficient technique for solving two-point boundary value problems for integro-differential equations. J. Math. Chem. 52(8), 2030–2051 (2014). https://doi.org/10.1007/s10910-014-0363-8
Maleknejad, K., Alizadeh, M.: An efficient numerical scheme for solving Hammerstein integral equation arisen in chemical phenomenon. Proc. Comput. Sci. 3, 361–364 (2011)
Mahalakshmi, M., Hariharan, G., Kannan, K.: The wavelet methods to linear and nonlinear reaction–diffusion model arising in mathematical chemistry. J. Math. Chem. 51, 2361–2385 (2013)
Logrado, P.G., Vianna, J.D.M.: Partitioning technique procedure revisited: formalism and first application to atomic problems. J. Math. Chem. 22, 107–116 (1997)
Jesudason, C.G.: Numerical nonlinear analysis: differential methods and optimization applied to chemical reaction rate determination. J. Math. Chem. 49, 1384–1415 (2011)
Chandrasekhar, S.: Radiative Transfer. Dover, New York (1960)
Frontini, M., Sormani, E.: Third-order methods from quadrature formulae for solving systems of nonlinear equations. Appl. Math. Comput. 149, 771–782 (2004)
Darvishi, M.T., Barati, A.: A third-order Newton-type method to solve systems of nonlinear equations. Appl. Math. Comput. 187, 630–635 (2007)
Noor, M.A., Waseem, M.: Some iterative methods for solving a system of nonlinear equations. Comput. Math. Appl. 57, 101–106 (2009)
Weerakoon, S., Fernando, T.G.I.: A variant of Newton’s method with accelerated third-order convergence. Appl. Math. Lett. 13, 87–93 (2000)
Nishani, H.P.S., Weerakoon, S., Fernando, T.G.I., Liyanage, M.: Weerakoon-Fernando method with accelerated third-order convergence for systems of nonlinear equations. Int. J. Math. Model. Numer. Optim. 8(3), 287–304 (2018)
Hueso, J.L., Martínez, E., Teruel, C.: Convergence, efficiency and dynamics of new fourth and sixth order families of iterative methods for nonlinear systems. J. Comput. Appl. Math. 275, 412–410 (2015). https://doi.org/10.1016/j.cam.2017.02.012
Sharma, J.R., Guna, R.K., Sharma, R.: An efficient fourth order weighted-Newton method for systems of nonlinear equations. Numer. Algorithms 62, 307–323 (2013)
Sharma, J.R., Guna, R.K., Sharma, R.: Efficient Jarratt-like methods for solving systems of nonlinear equations. Calcolo 51, 193–210 (2014). https://doi.org/10.1007/s10092-013-0097-1
Cordero, A., Feng, L., Magreñán, A., Torregrosa, J.R.: A new fourth-order family for solving nonlinear problems and its dynamics. J. Math. Chem. 53, 893–910 (2015). https://doi.org/10.1007/s10910-014-0464-4
Argyros, I.K., Magreñán, Á.A.: On the convergence of an optimal fourth-order family of methods and its dynamics. Appl. Math. Comput. 252(1), 336–346 (2015)
Khan, W.A., Noor, K.I., Bhatti, K., Ansari, F.A.: A new fourth order Newton-type method for solution of system of nonlinear equations. Appl. Math. Comput. 270, 724–730 (2015)
Petković, M., Neta, B., Petković, L., Dz̃uníc, J.: Multipoint Methods for Solving Nonlinear Equations. Academic Press, Amsterdam (2012)
Cordero, A., Torregrosa, J.R.: Variants of Newton’s method using fifth-order quadrature formulas. Appl. Math. Comput. 190, 686–698 (2007)
Babajee, D.K.R., Cordero, A., Soleymani, F., Torregrosa, J.R.: On a novel fourth-order algorithm for solving systems of nonlinear equations. J. Appl. Math. Volume 2012: Article ID 165452 (2012). https://doi.org/10.1155/2012/165452
Jarratt, P.: Some fourth order multipoint iterative methods for solving equations. Math. Comput. 20, 434–437 (1966)
Cordero, A., Hueso, J.L., Martínez, E., Torregrosa, J.R.: A modified Newton Jarratt’s composition. Numer. Algorithms 55, 87–99 (2010)
Argyros, I.K., Magreñán, Á.A.: A study on the local convergence and the dynamics of Chebyshev–Halley-type methods free from second derivative. Numer. Algorithms 71(1), 1–23 (2015)
Argyros, I.K., Cho, Y.J., George, S.: Local convergence for some third order iterative methods under weak conditions. J. Korean Math. Soc. 53(4), 781–793 (2016)
Argyros, I.K., González, D.: Local convergence for an improved Jarratt-type method in Banach space. Int. J. Interact. Multimed. Artif. Intell. 3(Special Issue on Teaching Mathematics Using New and Classic Tools), 20–25 (2015)
Argyros, I.K., Magreñán, Á.A.: On the convergence of an optimal fourth-order family of methods and its dynamics. Appl. Math. Comput. 252(1), 336–346 (2015)
Amat, S., Busquier, S., Magreñán, Á.: Reducing chaos and bifurcations in Newton-type methods. Abstr. Appl. Anal. Volume 2013: Article ID 726701, 10 (2013). https://doi.org/10.1155/2013/726701
Amat, S., Busquier, S., Plaza, S.: Review of some iterative root-finding methods from a dynamical point of view. Sci. Ser. A Math. Sci. 10, 3–35 (2004)
Amat, S., Busquier, S., Plaza, S.: Dynamics of the King and Jarratt iterations. Aequ. Math. 69(3), 212–223 (2005)
Amat, S., Busquier, S., Plaza, S.: Chaotic dynamics of a third-order Newton-type method. J. Math. Anal. Appl. 366(1), 24–32 (2010)
Cordero, A., Guasp, L., Torregrosa, J.R.: Choosing the most stable members of Kou’s family of iterative methods. J. Comput. Appl. Math. 330, 759–769 (2017). https://doi.org/10.1016/j.cam.2017.02.012
Cordero, A., Magreñán, A., Quemada, C., Torregrosa, J.R.: Stability study of eighth-order iterative methods for solving nonlinear equations. J. Comput. Appl. Math. 291, 348–357 (2015). https://doi.org/10.1016/j.cam.2015.01.006
Chicharro, F.I., Cordero, A., Torregrosa, J.R.: Dynamics of iterative families with memory based on weight functions procedure. J. Comput. Appl. Math. (2018). https://doi.org/10.1016/j.cam.2018.01.019
Chicharro, F., Cordero, A., Gutiérrez, J.M., Torregrosa, J.R.: Complex dynamics of derivative-free methods for nonlinear equations. Appl. Math. Comput. 219, 7023–7035 (2013)
Chun, C., Lee, M.Y., Neta, B., Dz̃uníc, J.: On optimal fourth-order iterative methods free from second derivative and their dynamics. Appl. Math. Comput. 218, 6427–6438 (2012)
Magreñán, Á.A.: Different anomalies in a Jarratt family of iterative root-finding methods. Appl. Math. Comput. 233, 29–38 (2014)
Cordero, A., Torregrosa, J.R., Vindel, P.: Dynamics of a family of Chebyshev–Halley type methods. Appl. Math. Comput. 219, 8568–8583 (2013)
Magreñán, Á.A.: Estudio de la dinámica delmétodo de Newton amortiguado. Servicio de Publicaciones, Universidad de La Rioja (2013). http://dialnet.unirioja.es/servlet/tesis?codigo=38821
Blanchard, P.: The dynamics of Newton’s method. Proc. Symp. Appl. Math. 49, 139–154 (1994)
Chicharro, F., Cordero, A., Torregrosa, J.R.: Drawing dynamical and parameters planes of iterative families and methods. Sci. World J. Article ID 780153 (2013)
Argyros, I.K.: Convergence and Application of Newton-Type Iterations. Springer, New York (2008)
Argyros, I.K., Hilout, S.: Computational Methods in Nonlinear Analysis. World Scientific Publishing House, New Jersey (2013)
Rall, L.B.: Computational Solution of Nonlinear Operator Equations. Robert E. Krieger Publishing Company Inc., New York (1969)
Traub, J.F.: Iterative Methods for Solution of Equations. Prentice-Hall, Englewood Cliffs (1964)
Sharma, D., Parhi, S.K.: Extending the Applicability of a Newton–Simpson–Like Method. Int. J. Appl. Comput. Math. 6 (3), Article number: 79 (2020). https://doi.org/10.1007/s40819-020-00832-3
Sharma, D., Parhi, S.K.: Local Convergence and Complex Dynamics of a Uni–parametric Family of Iterative Schemes. Int. J. Appl. Comput. Math. 6 (3), Article number: 83 (2020). https://doi.org/10.1007/s40819-020-00841-2
Sharma, D., Parhi, S.K.: On the local convergence of a third–order iterative scheme in Banach spaces. Rend. Circ. Mat. Palermo, II. Ser. (2020). https://doi.org/10.1007/s12215-020-00500-x
Sharma, D., Parhi, S.K.: Complex dynamics of a sixth and seventh order family of root finding methods. SeMA J. 77 (3), 339–349 (2020). https://doi.org/10.1007/s40324-020-00223-0
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The second author would like to thank University Grants Commission (UGC) of India for the financial support (ID: NOV2017-402662).
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Argyros, I.K., Sharma, D., Parhi, S.K. et al. On the Convergence, Dynamics and Applications of a New Class of Nonlinear System Solvers. Int. J. Appl. Comput. Math 6, 142 (2020). https://doi.org/10.1007/s40819-020-00893-4
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DOI: https://doi.org/10.1007/s40819-020-00893-4