Abstract
In this paper, we discover new techniques to construct efficient higher order iterative methods for the longstanding problem of solving systems of nonlinear equations. Given any iterative method with the extended Newton iteration being a predictor, a new efficient higher order method can be constructed without more matrix inversions, but it requires introduction of a new function. In terms of our main theorems, we find that several well-known existing results are just special cases of ours. Applying the new techniques to some classical third or fourth order methods, we make light work of developing some new efficient higher order methods. For further discussion, we analyze the computational efficiencies of the newly developed methods, and make comprehensive comparisons between the new higher order methods and the corresponding lower order ones. Finally, we take several numerical experiments of solving nonlinear problems, and the numerical results are consistent with the theoretical analysis, to a large extent.
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References
Ahmad F, Soleymani F, Haghani FK, Serra-Capizzano S (2017) Higher order derivative-free iterative methods with and without memory for systems of nonlinear equations. Appl. Math. Comput. 314:199–211
Amat S, Busquier S, Gutiérrez J (2003) Geometrical constructions of iterative functions to solve nonlinear equations. J. Comput. Appl. Math. 157:197–205
Cordero A, Hueso JL, Martínez E, Torregrosa J (2012) Increasing the convergence order of an iterative method for nonlinear systems. Appl. Math. Lett. 25:2369–2374
Cordero A, Hueso JL, Torregrosa J, Martínez E (2010) A modified Newton-Jarratt’s composition. Numer. Algorithms 55:87–99
Cordero A, Martínez E, Torregrosa J (2009) Iterative methods of order four and five for systems of nonlinear equations. J. Comput. Appl. Math. 231:541–551
Cordero A, Torregrosa J (2007) Variants of Newton’s method using fifth-order quadrature formulas. Appl. Math. Comput. 190:686–698
Darvishi M, Barati A (2007) A fourth-order method from quadrature formulae to solve systems of nonlinear equations. Appl. Math. Comput. 188:257–261
Frontini M, Sormani E (2003) Some variant of Newton’s method with third-order convergence. Appl. Math. Comput. 140:419–426
Frontini M, Sormani E (2004) Third-order methods from quadrature formulae for solving systems of nonlinear equations. Appl. Math. Comput. 149:771–782
Grau-Sánchez M, Grau A, Noguera M (2011) Frozen divided difference scheme for solving systems of nonlinear equations. J. Comput. Appl. Math. 235:1739–1743
Grau-Sánchez M, Grau A, Noguera M (2011) On the computational efficiency index and some iterative methods for solving systems of nonlinear equations. J. Comput. Appl. Math. 236:1259–1266
Grau-Sánchez M, Grau A, Noguera M (2011) Ostrowski type methods for solving systems of nonlinear equations. Appl. Math. Comput. 218:2377–2385
Homeier H (2004) A modified Newton method with cubic convergence: the multivariable case. J. Comput. Appl. Math. 169:161–169
Homeier H (2005) On Newton-type methods with cubic convergence. J. Comput. Appl. Math. 176:425–432
Kansal M, Cordero A, Bhalla S, Torregrosa JR (2021) New fourth- and sixth-order classes of iterative methods for solving systems of nonlinear equations and their stability analysis. Numer. Algorithms 87:1017–1060
Kelley C (2003) Solving Nonlinear Equations with Newton’s Method. SIAM, Philadelphia
Kou J, Li Y, Wang X (2007) Some modification of Newton’s method with fifth-order convergence. J. Comput. Appl. Math. 209:146–152
Narang M, Bhatia S, Alshomrani A, Kanwar V (2019) General efficient class of Steffensen type methods with memory for solving systems of nonlinear equations. J. Comput. Appl. Math. 352:23–39
Noor M, Waseem M (2009) Some iterative methods for solving a system of nonlinear equations. Comput. Math. Appl. 57:101–106
Ortega J, Rheinboldt W (1970) Iterative Solutions of Nonlinear Equations in Several Variables. Academic Press, New York
Ostrowski A (1966) Solution of Equations and Systems of Equations. Academic Press, New York
Özban A (2004) Some new variants of Newton’s method. Appl. Math. Lett. 17:677–682
Palacios M (2002) Kepler equation and accelerated Newton method. J. Comput. Appl. Math. 138:335–346
Romero A, Ezquerro J, Hernandez M (2009) Aproximación de soluciones de algunas equacuaciones integrales de Hammerstein mediante métodos iterativos tipo Newton. Universidad de Castilla-La Mancha, XXI Congreso de ecuaciones diferenciales y aplicaciones
Sauer T (2012) Numerical Analysis, 2nd edn. George Mason University, Fairfax
Sharma J, Arora H (2014) Efficient Jarratt-like methods for solving systems of nonlinear equations. Calcolo 51:193–210
Sharma J, Guha R, Sharma R (2013) An efficient fourth order weighted-Newton method for systems of nonlinear equations. Numer. Algorithms 62:307–323
Sharma J, Gupta P (2014) An efficient fifth order method for solving systems of nonlinear equations. Comput. Math. Appl. 67:591–601
Sharma JR, Arora H (2018) Efficient higher order derivative-free multipoint methods with and without memory for systems of nonlinear equations. Int. J. Comput. Math. 95:920–938
Sharma JR, Kurma D (2018) A fast and efficient composite Newton-Chebyshev method for systems of nonlinear equations. J. Complex 49:56–73
Sharma JR, Kurma D (2020) On a reduced cost derivative free higher order numerical algorithm for nonlinear systems. Comput. Appl. Math. 39, Article 202
Weerakoon S, Fernando T (2000) A variant of Newton’s method with accelerated third-order convergence. Appl. Math. Lett. 13:87–93
Xiao XY, Yin HW (2015) A new class of methods with higher order of convergence for solving systems of nonlinear equations. Appl. Math. Comput. 264:300–309
Xiao XY, Yin HW (2016) Increasing the order of convergence for iterative methods to solve nonlinear systems. Calcolo 53:285–300
Acknowledgements
This work is supported by National Nature Science Foundation of China with No. 12061048, and the Project of the Education Department of Jiangxi Province Research on the Teaching Reform with No. JXJG-20-1-16.
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Communicated by Ke Chen.
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Xiao, XY. New techniques to develop higher order iterative methods for systems of nonlinear equations. Comp. Appl. Math. 41, 243 (2022). https://doi.org/10.1007/s40314-022-01959-3
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DOI: https://doi.org/10.1007/s40314-022-01959-3
Keywords
- Systems of nonlinear equations
- Extended Newton iteration
- Order of convergence
- Higher order methods
- Computational efficiency