Finding the roots of nonlinear algebraic equations is an important problem in science and engineering, later many methods have been developed for solving nonlinear equations. These methods are given [1-27], in this paper, a new Algorithm for solving nonlinear algebraic equations is obtained by using least square method by fitting a polynomial form of degree two (or parabolic form). This paper compares the present method with the method given by Jutaporn N, Bumrungsak P and Apichat N, 2016 [1], which was used nonlinear regression method in form of logarithm function. We verified on a number of examples and numerical results obtained show that the present method is faster than the method, which used the logarithm function given by [1].
Published in | Mathematics and Computer Science (Volume 1, Issue 3) |
DOI | 10.11648/j.mcs.20160103.12 |
Page(s) | 44-47 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2016. Published by Science Publishing Group |
Nonlinear Algebraic Equations, Least Square Method, Logarithm Function
[1] | Jutaporn N, Bumrungsak P and Apichat N, A new method for finding Root of Nonlinear Equations by using Nonlinear Regression, Asian Journal of Applied Sciences, Vol 03-Issue 06, 2015: 818-822. |
[2] | J. F. Traub, “Iterative Methods for the Solution of Equations”, Prentice Hall, Englewood Cliffs, N. J., 1964. |
[3] | Neamvonk A., “A Modified Regula Falsi Method for Solving Root of Nonlinear Equations”, Asian Journal of Applied Sciences, vol. 3, no. 4, pp. 776-778, 2015. |
[4] | N. Ide, (2008). A new Hybrid iteration method for solving algebraic equations, Journal of Applied Mathematics and Computation, Elsevier Editorial, Amsterdam, 195, Netherlands, 772-774. |
[5] | N. Ide, (2008). On modified Newton methods for solving a nonlinear algebraic equations, Journal of Applied Mathematics and Computation, Elsevier Editorial, Amsterdam, Netherlands. |
[6] | N. Ide, (2013). Some New Type Iterative Methods for Solving Nonlinear Algebraic Equation", World applied sciences journal, 26 (10); 1330-1334, 2013. |
[7] | M. Javidi, 2007, Iterative Method to Nonlinear Equations, Journal of Applied Mathematics and Computation, Elsevier Editorial, Amsterdam, 193, Netherlands, 360-365. |
[8] | J. H. He (2003). A new iterative method for solving algebraic equations. Appl. Math. Comput. 135: 81-84. |
[9] | M. Javidi, (2009). Fourth-order and fifth-order iterative methods for nonlinear algebraic equations. Math. Comput. Model. 50: 66-71. |
[10] | M. Basto M, V. Semiao, FL. Calheiros (2006). A new iterative method to compute nonlinear equations. Appl. Math. Comput. 173: 468-483. |
[11] | C. Chun (2006). A new iterative method for solving nonlinear equations. Appl. Math. Comput. 178: 415-422. |
[12] | MA. Noor (2007). New family of iterative methods for nonlinear equations. Appl. Math. Compute. 190: 553-558. |
[13] | MA. Noor, KI. Noor, ST. Mohyud-Din, A. Shabbir, (2006). An iterative method with cubic convergence for nonlinear equations. Appl. Math. Comput. 183: 1249-1255. |
[14] | W. Bi, H. Ren, Q. Wu (2009). Three-step iterative methods with eighth-order convergence for solving nonlinear equations. J. Comput. Appl. Math. 225: 105-112. |
[15] | W. Bi, H. Ren, Q. Wu (2009). A new family of eighth-order iterative methods for solving nonlinear equations. Appl. Math. Comput. 214: 236-245. |
[16] | K. Jisheng, L. Yitian, W. Xiuhua (2007). A composite fourth-order iterative method for solving non-linear equations. Appl. Math. Comput. 184: 471-475. |
[17] | N. IDE Some New Iterative Algorithms by Using Homotopy Perturbation Method for Solving Nonlinear Algebraic Equations, 2015, Asian Journal of Mathematics and Computer Research, (AJOMCOR), International Knowledge Press, Vol. 5, Issue 3, 2015. |
[18] | C. Chun, Construction of Newton-like iteration methods for solving nonlinear equations, Numerical Mathematics 104, (2006), 297-315. |
[19] | M. Frontini, and E. Sormani, Some variant of Newton's method with third-order convergence, Applied Mathematics and Computation 140, (2003), 419-426. |
[20] | M. Frontini, and E. Sormani, Third-order methods from quadrature formulae for solving systems of nonlinear equations, Applied Mathematics and Computation 149, (2004), 771-782. |
[21] | J. H. He, Newton-like iteration method for solving algebraic equations, Communications on Nonlinear Science and Numerical Simulation 3, (1998) 106-109. |
[22] | H. H. H. Homeier, A modified Newton method with cubic convergence: the multivariate case, Journal of Computational and Applied Mathematics 169, (2004), 161-169. |
[23] | H. H. H. Homeier, On Newton-type methods with cubic convergence, Journal of Computational and Applied Mathematics 176, (2005), 425-432. |
[24] | J. Kou, Y. Li, and X. Wang, A modification of Newton method with third-order convergence, Applied Mathematics and Computation 181, (2006), 1106-1111. |
[25] | A. Y. Ozban, Some new variants of Newton's method, Applied Mathematics Letters 17, (2004), 677-682. |
[26] | J. F. Traub, Iterative Methods for the Solution of Equations, Chelsea Publishing Company, New York, 1982. |
[27] | S. Weerakoon, and G. I. Fernando, A variant of Newton's method with accelerated third-order convergence, Applied Mathematics Letters 17, (2000), 87-93. |
APA Style
Nasr Al Din Ide. (2016). A New Algorithm for Solving Nonlinear Equations by Using Least Square Method. Mathematics and Computer Science, 1(3), 44-47. https://doi.org/10.11648/j.mcs.20160103.12
ACS Style
Nasr Al Din Ide. A New Algorithm for Solving Nonlinear Equations by Using Least Square Method. Math. Comput. Sci. 2016, 1(3), 44-47. doi: 10.11648/j.mcs.20160103.12
@article{10.11648/j.mcs.20160103.12, author = {Nasr Al Din Ide}, title = {A New Algorithm for Solving Nonlinear Equations by Using Least Square Method}, journal = {Mathematics and Computer Science}, volume = {1}, number = {3}, pages = {44-47}, doi = {10.11648/j.mcs.20160103.12}, url = {https://doi.org/10.11648/j.mcs.20160103.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20160103.12}, abstract = {Finding the roots of nonlinear algebraic equations is an important problem in science and engineering, later many methods have been developed for solving nonlinear equations. These methods are given [1-27], in this paper, a new Algorithm for solving nonlinear algebraic equations is obtained by using least square method by fitting a polynomial form of degree two (or parabolic form). This paper compares the present method with the method given by Jutaporn N, Bumrungsak P and Apichat N, 2016 [1], which was used nonlinear regression method in form of logarithm function. We verified on a number of examples and numerical results obtained show that the present method is faster than the method, which used the logarithm function given by [1].}, year = {2016} }
TY - JOUR T1 - A New Algorithm for Solving Nonlinear Equations by Using Least Square Method AU - Nasr Al Din Ide Y1 - 2016/09/18 PY - 2016 N1 - https://doi.org/10.11648/j.mcs.20160103.12 DO - 10.11648/j.mcs.20160103.12 T2 - Mathematics and Computer Science JF - Mathematics and Computer Science JO - Mathematics and Computer Science SP - 44 EP - 47 PB - Science Publishing Group SN - 2575-6028 UR - https://doi.org/10.11648/j.mcs.20160103.12 AB - Finding the roots of nonlinear algebraic equations is an important problem in science and engineering, later many methods have been developed for solving nonlinear equations. These methods are given [1-27], in this paper, a new Algorithm for solving nonlinear algebraic equations is obtained by using least square method by fitting a polynomial form of degree two (or parabolic form). This paper compares the present method with the method given by Jutaporn N, Bumrungsak P and Apichat N, 2016 [1], which was used nonlinear regression method in form of logarithm function. We verified on a number of examples and numerical results obtained show that the present method is faster than the method, which used the logarithm function given by [1]. VL - 1 IS - 3 ER -