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A Comparative Study among New Hybrid Root Finding Algorithms and Traditional Methods

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  • Elsayed Badr

    (Scientific Computing Department, Faculty of Computers & Artificial Intelligence, Benha University, Benha 13518, Egypt
    Higher Technological Institute, 10th of Ramadan City, Embassies District, Nasr City, Cairo 11765, Egypt)

  • Sultan Almotairi

    (Department of Natural and Applied Sciences, Community College Majmaah University, Al-Majmaah 11952, Saudi Arabia)

  • Abdallah El Ghamry

    (Computer Science Department, Faculty of Computers & Artificial Intelligence, Benha University, Benha 13518, Egypt)

Abstract

In this paper, we propose a novel blended algorithm that has the advantages of the trisection method and the false position method. Numerical results indicate that the proposed algorithm outperforms the secant, the trisection, the Newton–Raphson, the bisection and the regula falsi methods, as well as the hybrid of the last two methods proposed by Sabharwal, with regard to the number of iterations and the average running time.

Suggested Citation

  • Elsayed Badr & Sultan Almotairi & Abdallah El Ghamry, 2021. "A Comparative Study among New Hybrid Root Finding Algorithms and Traditional Methods," Mathematics, MDPI, vol. 9(11), pages 1-15, June.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1306-:d:570208
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    Cited by:

    1. S. Sapna & Biju R. Mohan, 2024. "Comparative Analysis of Root Finding Algorithms for Implied Volatility Estimation of Ethereum Options," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 515-550, July.

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