IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i1p103-d306280.html
   My bibliography  Save this article

New Improvement of the Domain of Parameters for Newton’s Method

Author

Listed:
  • Cristina Amorós

    (Escuela Superior de Ingeniería y Tecnología, UNIR, 26006 Logroño, Spain)

  • Ioannis K. Argyros

    (Department of Mathematics Sciences, Cameron University, Lawton, OK 73505, USA)

  • Daniel González

    (Escuela de Ciencias Físicas y Matemáticas, Universidad de las Americas, Quito 170517, Ecuador)

  • Ángel Alberto Magreñán

    (Departamento de Matemáticas y Computación, Universidad de la Rioja, 26004 Logroño, Spain)

  • Samundra Regmi

    (Department of Mathematics Sciences, Cameron University, Lawton, OK 73505, USA)

  • Íñigo Sarría

    (Escuela Superior de Ingeniería y Tecnología, UNIR, 26006 Logroño, Spain)

Abstract

There is a need to extend the convergence domain of iterative methods for computing a locally unique solution of Banach space valued operator equations. This is because the domain is small in general, limiting the applicability of the methods. The new idea involves the construction of a tighter set than the ones used before also containing the iterates leading to at least as tight Lipschitz parameters and consequently a finer local as well as a semi-local convergence analysis. We used Newton’s method to demonstrate our technique. However, our technique can be used to extend the applicability of other methods too in an analogous manner. In particular, the new information related to the location of the solution improves the one in previous studies. This work also includes numerical examples that validate the proven results.

Suggested Citation

  • Cristina Amorós & Ioannis K. Argyros & Daniel González & Ángel Alberto Magreñán & Samundra Regmi & Íñigo Sarría, 2020. "New Improvement of the Domain of Parameters for Newton’s Method," Mathematics, MDPI, vol. 8(1), pages 1-12, January.
  • Handle: RePEc:gam:jmathe:v:8:y:2020:i:1:p:103-:d:306280
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/1/103/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/8/1/103/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cordero, Alicia & Gutiérrez, José M. & Magreñán, Á. Alberto & Torregrosa, Juan R., 2016. "Stability analysis of a parametric family of iterative methods for solving nonlinear models," Applied Mathematics and Computation, Elsevier, vol. 285(C), pages 26-40.
    2. Ioannis K. Argyros & Ángel Alberto Magreñán & Lara Orcos & Íñigo Sarría, 2019. "Unified Local Convergence for Newton’s Method and Uniqueness of the Solution of Equations under Generalized Conditions in a Banach Space," Mathematics, MDPI, vol. 7(5), pages 1-13, May.
    3. Lotfi, T. & Magreñán, Á.A. & Mahdiani, K. & Javier Rainer, J., 2015. "A variant of Steffensen–King’s type family with accelerated sixth-order convergence and high efficiency index: Dynamic study and approach," Applied Mathematics and Computation, Elsevier, vol. 252(C), pages 347-353.
    4. Ioannis K. Argyros & Á. Alberto Magreñán & Lara Orcos & Íñigo Sarría, 2019. "Advances in the Semilocal Convergence of Newton’s Method with Real-World Applications," Mathematics, MDPI, vol. 7(3), pages 1-12, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ioannis K. Argyros & Chirstopher Argyros & Michael Argyros & Johan Ceballos & Daniel González, 2022. "Extended Multi-Step Jarratt-like Schemes of High Order for Equations and Systems," Mathematics, MDPI, vol. 10(19), pages 1-9, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cristina Amorós & Ioannis K. Argyros & Á. Alberto Magreñán & Samundra Regmi & Rubén González & Juan Antonio Sicilia, 2019. "Extending the Applicability of Stirling’s Method," Mathematics, MDPI, vol. 8(1), pages 1-10, December.
    2. Amiri, Abdolreza & Cordero, Alicia & Taghi Darvishi, M. & Torregrosa, Juan R., 2018. "Stability analysis of a parametric family of seventh-order iterative methods for solving nonlinear systems," Applied Mathematics and Computation, Elsevier, vol. 323(C), pages 43-57.
    3. Campos, B. & Vindel, P., 2021. "Dynamics of subfamilies of Ostrowski–Chun methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 57-81.
    4. Ramandeep Behl & Sonia Bhalla & Ángel Alberto Magreñán & Alejandro Moysi, 2021. "An Optimal Derivative Free Family of Chebyshev–Halley’s Method for Multiple Zeros," Mathematics, MDPI, vol. 9(5), pages 1-19, March.
    5. Ramandeep Behl & Ioannis K. Argyros & Fouad Othman Mallawi, 2021. "Some High-Order Convergent Iterative Procedures for Nonlinear Systems with Local Convergence," Mathematics, MDPI, vol. 9(12), pages 1-13, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:1:p:103-:d:306280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.