Computer Geometries for Finding All Real Zeros of Polynomial Equations Simultaneously

被引:3
|
作者
Rafiq, Naila [1 ]
Akram, Saima [2 ]
Shams, Mudassir [3 ]
Mir, Nazir Ahmad [1 ]
机构
[1] NUML, Dept Math, Islamabad 44000, Pakistan
[2] Bahauddin Zakariya Univ, Ctr Adv Studies Pure & Appl Math, Multan, Pakistan
[3] Riphal Int Univ, Dept Math & Stat, I-14, Islamabad 44000, Pakistan
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2021年 / 69卷 / 02期
关键词
Polynomials; simultaneous iterative methods; random initial guesses; lower bound; local computational order; CAS-mathematica and mat lab; ITERATIVE METHODS; FAMILY; ROOTS; DISTINCT; NEWTON;
D O I
10.32604/cmc.2021.018955
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this research article, we construct a family of derivative free simultaneous numerical schemes to approximate all real zero of non-linear polynomial equation. We make a comparative analysis of the newly constructed numerical schemes with a well-known existing simultaneous method for determining all the distinct real zeros of polynomial equations using computer algebra system Mat Lab. Lower bound of convergence of simultaneous schemes is calculated using Mathematica. Global convergence property of the numerical schemes is presented by taking random starting initial approximation and their convergence history are graphically presented. Some real life engineering applications along with some higher degree polynomials are considered as numerical test problems to show performance and efficiency of the derivative free family of numerical methods with comparison of an existing method of same order in literature. Local computational order of convergence, CPU time, graph of computational order of convergence and residual error graphs elaborate efficiency, robustness and authentication of the suggested family of numerical methods in its domain.
引用
收藏
页码:2635 / 2651
页数:17
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