Javier García Maimó

Dr. Javier García Maimó


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2013 in Applied Mathematics Letters
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
MVMaria P. Vassileva
Maria P. Vassileva
PVPura Vindel
Pura Vindel

7 November 2014 in Journal of Mathematical Chemistry
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
MVMaría P. Vassileva
María P. Vassileva

7 November 2019 in Mathematics
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
MVMaría P. Vassileva
María P. Vassileva
Iterative methods for solving nonlinear equations are said to have memory when the calculation of the next iterate requires the use of more than one previous iteration. Methods with memory usually have a very stable behavior in the sense of the wideness of the set of convergent initial estimations. With the right choice of parameters, iterative methods without memory can increase their order of convergence significantly, becoming schemes with memory. In this work, starting from a simple method without memory, we increase its order of convergence without adding new functional evaluations by approximating the accelerating parameter with Newton interpolation polynomials of degree one and two. Using this technique in the multidimensional case, we extend the proposed method to systems of nonlinear equations. Numerical tests are presented to verify the theoretical results and a study of the dynamics of the method is applied to different problems to show its stability.

24 October 2024 in Mathematics
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
ACAntmel Rodríguez Cabral
Antmel Rodríguez Cabral
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
This article introduces a novel two-step fifth-order Jacobian-free iterative method aimed at efficiently solving systems of nonlinear equations. The method leverages the benefits of Jacobian-free approaches, utilizing divided differences to circumvent the computationally intensive calculation of Jacobian matrices. This adaptation significantly reduces computational overhead and simplifies the implementation process while maintaining high convergence rates. We demonstrate that this method achieves fifth-order convergence under specific parameter settings, with broad applicability across various types of nonlinear systems. The effectiveness of the proposed method is validated through a series of numerical experiments that confirm its superior performance in terms of accuracy and computational efficiency compared to existing methods.

4 January 2017 in Journal of Mathematical Chemistry
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
MVMaría P. Vassileva
María P. Vassileva

26 July 2021 in Axioms
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Alicia CorderoAlicia Cordero
Alicia Cordero
JMJavier García Maimó
Javier García Maimó
EMEulalia Martinez
Eulalia Martinez
Juan R. TorregrosaJuan R. Torregrosa
Juan R. Torregrosa
MVMaría P. Vassileva
María P. Vassileva
In this work, we use the technique of recurrence relations to prove the semilocal convergence in Banach spaces of the multidimensional extension of Chun’s iterative method. This is an iterative method of fourth order, that can be transferred to the multivariable case by using the divided difference operator. We obtain the domain of existence and uniqueness by taking a suitable starting point and imposing a Lipschitz condition to the first Fréchet derivative in the whole domain. Moreover, we apply the theoretical results obtained to a nonlinear integral equation of Hammerstein type, showing the applicability of our results.