The search for a more efficient and robust numerical method for solving problems have become an interesting area for many researchers as most problems resulting into nonlinear system of equations would require a very good numerical method for its computation. The introduction of the Broyden method has served as the foundation to developing several others, which are referred to as Broyden – like methods by some authors. These methods, in most cases, have proven to be superior to the original classical Broyden method in terms of the number of iterations needed and the CPU time required to reach a solution. This research sought to develop new Broyden – like methods using weighted combinations of quadrature rules (i.e., Simpson -1/3 and Simpson -3/8 rules against Midpoint, Trapezoidal, and Simpson quadrature rules). The weighted combination of the quadrature rules in the development of the new methods led to the discovery of several new methods. Some of which have proven to be more efficient and robust when compared with some existing methods. A comparison of these newly developed methods with the classical Broyden method together with some existing improved Broyden method revealed that, one of the newly developed methods namely, Midpoint–Simpson-3/8 (MS–3/8) method, outperformed all the others, with the MS–3/8 method giving the best of numerical results in all the benchmark problems considered in the study.
Published in | International Journal of Systems Science and Applied Mathematics (Volume 6, Issue 3) |
DOI | 10.11648/j.ijssam.20210603.11 |
Page(s) | 77-94 |
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. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Broyden Method, Newton-Raphson Method, Quadrature Rules, Simpson – 1/3 Rule, Simpson - 3/8 Rule, Nonlinear Systems, Convergence
[1] | Al-Towaiq, M. H., & Abu Hour, Y. S. (2017). Two improved classes of Broyden's methods for solving nonlinear systems of equations. JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 17 (1), 22-31. |
[2] | Autar, K., Egwu, E. K., Duc, N. (2017). Numerical Methods with Applications. http://numericalmethods.eng.usf.edu. |
[3] | Azure, I., Aloliga, G., & Doabil, L. (2020). Comparative Study of Numerical Methods for Solving Non-linear Equations Using Manual Computation. Mathematics Letters, 5 (4), 41. |
[4] | Cordero, A., Torregrosa, J. R., & Vassileva, M. P. (2012). Pseudocomposition: a technique to design predictor–corrector methods for systems of nonlinear equations. Applied Mathematics and Computation, 218 (23), 11496-11504. |
[5] | Cordero, A., & Torregrosa, J. R. (2006). Variants of Newton’s method for functions of several variables. Applied Mathematics and Computation, 183 (1), 199-208. |
[6] | Darvishi, M. T., & Shin, B. C. (2011). High-order Newton-Krylov methods to solve systems of nonlinear equations. Journal of the Korean Society for Industrial and Applied Mathematics, 15 (1), 19-30. |
[7] | Dhamacharoen, A. (2014). An efficient hybrid method for solving systems of nonlinear equations. Journal of Computational and Applied Mathematics, 263, 59-68. |
[8] | Frontini, M. A. R. C. O., & Sormani, E. (2003). Some variant of Newton’s method with third-order convergence. Applied Mathematics and Computation, 140 (2-3), 419-426. |
[9] | Hafiz, M. A., & Bahgat, M. S. (2012). An efficient two-step iterative method for solving system of nonlinear equations. Journal of Mathematics Research, 4 (4), 28. |
[10] | Isaac, A., Stephen, T. B., Seidu, B. (2021). A New Trapezoidal-Simpson 3/8 Method for Solving Systems of Nonlinear Equations. American Journal of Mathematical and Computer Modelling, 6 (1), 1-8. |
[11] | Jain, M. K. (2003). Numerical methods for scientific and engineering computation. New Age International. |
[12] | Kelley, C. T. (1995). Iterative methods for linear and nonlinear equations. Society for Industrial and Applied Mathematics. |
[13] | Kou, J., Li, Y., & Wang, X. (2007). A composite fourth-order iterative method for solving non-linear equations. Applied Mathematics and Computation, 184 (2), 471-475. (11) |
[14] | Li, Y., Wei, Y., & Chu, Y. (2015). Research on solving systems of nonlinear equations based on improved PSO. Mathematical Problems in Engineering, 2015. (1). |
[15] | Luo, Y. Z., Tang, G. J., & Zhou, L. N. (2008). Hybrid approach for solving systems of nonlinear equations using chaos optimization and quasi-Newton method. Applied Soft Computing, 8 (2), 1068-1073. (12). |
[16] | Mahwash, K. N., & Gyang, G. D. (2018). Numerical Solution of Nonlinear Systems of Algebriac Equations. |
[17] | Mo, Y., Liu, H., & Wang, Q. (2009). Conjugate direction particle swarm optimization solving systems of nonlinear equations. Computers & Mathematics with Applications, 57 (11-12), 1877-1882. (13). |
[18] | Mohammad, H., & Waziri, M. Y. (2015). On Broyden-like update via some quadratures for solving nonlinear systems of equations. Turkish Journal of Mathematics, 39 (3), 335-345. |
[19] | Muhammad, K., Mamat, M., & Waziri, M. Y. (2013). A Broyden’s-like Method for solving systems of Nonlinear Equations. World Appl Sc J, 21, 168-173. |
[20] | Osinuga, I. A., & Yusuff, S. O. (2018). Quadrature based Broyden-like method for systems of nonlinear equations. Statistics, Optimization & Information Computing, 6 (1), 130-138. |
[21] | Osinuga, I. A., & Yusuff, S. O. (2017). Construction of a Broyden-like method for Nonlinear systems of equations. Annals. Computer Science Series, 15 (2), 128-135. |
[22] | Van de Rotten, B., & Lunel, S. V. (2005). A limited memory Broyden method to solve high-dimensional systems of nonlinear equations. In EQUADIFF 2003 (pp. 196-201). |
[23] | Weerakoon, S., & Fernando, T. G. I. (2000). A variant of Newton's method with accelerated third-order convergence. Applied Mathematics Letters, 13 (8), 87-93. |
APA Style
Azure Isaac, Twum Boakye Stephen, Baba Seidu. (2021). A Comparison of Newly Developed Broyden – Like Methods for Solving System of Nonlinear Equations. International Journal of Systems Science and Applied Mathematics, 6(3), 77-94. https://doi.org/10.11648/j.ijssam.20210603.11
ACS Style
Azure Isaac; Twum Boakye Stephen; Baba Seidu. A Comparison of Newly Developed Broyden – Like Methods for Solving System of Nonlinear Equations. Int. J. Syst. Sci. Appl. Math. 2021, 6(3), 77-94. doi: 10.11648/j.ijssam.20210603.11
AMA Style
Azure Isaac, Twum Boakye Stephen, Baba Seidu. A Comparison of Newly Developed Broyden – Like Methods for Solving System of Nonlinear Equations. Int J Syst Sci Appl Math. 2021;6(3):77-94. doi: 10.11648/j.ijssam.20210603.11
@article{10.11648/j.ijssam.20210603.11, author = {Azure Isaac and Twum Boakye Stephen and Baba Seidu}, title = {A Comparison of Newly Developed Broyden – Like Methods for Solving System of Nonlinear Equations}, journal = {International Journal of Systems Science and Applied Mathematics}, volume = {6}, number = {3}, pages = {77-94}, doi = {10.11648/j.ijssam.20210603.11}, url = {https://doi.org/10.11648/j.ijssam.20210603.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssam.20210603.11}, abstract = {The search for a more efficient and robust numerical method for solving problems have become an interesting area for many researchers as most problems resulting into nonlinear system of equations would require a very good numerical method for its computation. The introduction of the Broyden method has served as the foundation to developing several others, which are referred to as Broyden – like methods by some authors. These methods, in most cases, have proven to be superior to the original classical Broyden method in terms of the number of iterations needed and the CPU time required to reach a solution. This research sought to develop new Broyden – like methods using weighted combinations of quadrature rules (i.e., Simpson -1/3 and Simpson -3/8 rules against Midpoint, Trapezoidal, and Simpson quadrature rules). The weighted combination of the quadrature rules in the development of the new methods led to the discovery of several new methods. Some of which have proven to be more efficient and robust when compared with some existing methods. A comparison of these newly developed methods with the classical Broyden method together with some existing improved Broyden method revealed that, one of the newly developed methods namely, Midpoint–Simpson-3/8 (MS–3/8) method, outperformed all the others, with the MS–3/8 method giving the best of numerical results in all the benchmark problems considered in the study.}, year = {2021} }
TY - JOUR T1 - A Comparison of Newly Developed Broyden – Like Methods for Solving System of Nonlinear Equations AU - Azure Isaac AU - Twum Boakye Stephen AU - Baba Seidu Y1 - 2021/07/24 PY - 2021 N1 - https://doi.org/10.11648/j.ijssam.20210603.11 DO - 10.11648/j.ijssam.20210603.11 T2 - International Journal of Systems Science and Applied Mathematics JF - International Journal of Systems Science and Applied Mathematics JO - International Journal of Systems Science and Applied Mathematics SP - 77 EP - 94 PB - Science Publishing Group SN - 2575-5803 UR - https://doi.org/10.11648/j.ijssam.20210603.11 AB - The search for a more efficient and robust numerical method for solving problems have become an interesting area for many researchers as most problems resulting into nonlinear system of equations would require a very good numerical method for its computation. The introduction of the Broyden method has served as the foundation to developing several others, which are referred to as Broyden – like methods by some authors. These methods, in most cases, have proven to be superior to the original classical Broyden method in terms of the number of iterations needed and the CPU time required to reach a solution. This research sought to develop new Broyden – like methods using weighted combinations of quadrature rules (i.e., Simpson -1/3 and Simpson -3/8 rules against Midpoint, Trapezoidal, and Simpson quadrature rules). The weighted combination of the quadrature rules in the development of the new methods led to the discovery of several new methods. Some of which have proven to be more efficient and robust when compared with some existing methods. A comparison of these newly developed methods with the classical Broyden method together with some existing improved Broyden method revealed that, one of the newly developed methods namely, Midpoint–Simpson-3/8 (MS–3/8) method, outperformed all the others, with the MS–3/8 method giving the best of numerical results in all the benchmark problems considered in the study. VL - 6 IS - 3 ER -