Publikationen, an denen er mitarbeitet Alicia Cordero Barbero (29)

2024

  1. Modifying Kurchatov's method to find multiple roots of nonlinear equations

    Applied Numerical Mathematics, Vol. 198, pp. 11-21

2023

  1. An iterative scheme to obtain multiple solutions simultaneously

    Applied Mathematics Letters, Vol. 145

  2. Design of iterative methods with memory for solving nonlinear systems

    Mathematical Methods in the Applied Sciences, Vol. 46, Núm. 12, pp. 12361-12377

  3. Generalizing Traub's method to a parametric iterative class for solving multidimensional nonlinear problems

    Mathematical Methods in the Applied Sciences

  4. IMPROVING THE ORDER OF A FIFTH-ORDER FAMILY OF VECTORIAL FIXED POINT SCHEMES BY INTRODUCING MEMORY

    Fixed Point Theory, Vol. 24, Núm. 1, pp. 155-172

  5. Memory in the iterative processes for nonlinear problems

    Mathematical Methods in the Applied Sciences, Vol. 46, Núm. 4, pp. 4145-4158

  6. Simultaneous roots for vectorial problems

    Computational and Applied Mathematics, Vol. 42, Núm. 5

  7. Three-step iterative weight function scheme with memory for solving nonlinear problems

    Mathematical Methods in the Applied Sciences

2022

  1. Iterative schemes for finding all roots simultaneously of nonlinear equations

    Applied Mathematics Letters, Vol. 134

  2. Modifying Kurchatov’s method to find multipleroots

    Mathematical Modelling in Engineering & Human Behaviour: MME&HB2022 (Universidad Politécnica de Valencia (UPV)), pp. 257-262

  3. On the effect of the multidimensional weight functions on the stability of iterative processes

    Journal of Computational and Applied Mathematics, Vol. 405

  4. Parametric Family of Root-Finding Iterative Methods: Fractals of the Basins of Attraction

    Fractal and Fractional, Vol. 6, Núm. 10

  5. Symmetry in the Multidimensional Dynamical Analysis of Iterative Methods with Memory

    Symmetry, Vol. 14, Núm. 3

2020

  1. Anomalies in the convergence of Traub-type methods with memory

    Computational and Mathematical Methods

  2. CMMSE-2019 mean-based iterative methods for solving nonlinear chemistry problems

    Journal of Mathematical Chemistry, Vol. 58, Núm. 3, pp. 555-572

  3. Correction to: Mean-based iterative methods for solving nonlinear chemistry problems (Journal of Mathematical Chemistry, (2020), 58, 3, (555-572), 10.1007/s10910-019-01085-2)

    Journal of Mathematical Chemistry

  4. Impact on stability by the use of memory in traub-type schemes

    Mathematics, Vol. 8, Núm. 2

  5. On the choice of the best members of the Kim family and the improvement of its convergence

    Mathematical Methods in the Applied Sciences

  6. On the improvement of the order of convergence of iterative methods for solving nonlinear systems by means of memory

    Applied Mathematics Letters, Vol. 104

2019

  1. A new efficient parametric family of iterative methods for solving nonlinear systems

    Journal of Difference Equations and Applications, Vol. 25, Núm. 9-10, pp. 1454-1467