Neus
Garrido Saez
Investigadora en el periodo 2019-2022
Alicia
Cordero Barbero
Publicaciones en las que colabora con Alicia Cordero Barbero (21)
2024
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Modifying Kurchatov's method to find multiple roots of nonlinear equations
Applied Numerical Mathematics, Vol. 198, pp. 11-21
2023
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An iterative scheme to obtain multiple solutions simultaneously
Applied Mathematics Letters, Vol. 145
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Design of iterative methods with memory for solving nonlinear systems
Mathematical Methods in the Applied Sciences, Vol. 46, Núm. 12, pp. 12361-12377
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Generalizing Traub's method to a parametric iterative class for solving multidimensional nonlinear problems
Mathematical Methods in the Applied Sciences
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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
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Memory in the iterative processes for nonlinear problems
Mathematical Methods in the Applied Sciences, Vol. 46, Núm. 4, pp. 4145-4158
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Simultaneous roots for vectorial problems
Computational and Applied Mathematics, Vol. 42, Núm. 5
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Three-step iterative weight function scheme with memory for solving nonlinear problems
Mathematical Methods in the Applied Sciences
2022
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Iterative schemes for finding all roots simultaneously of nonlinear equations
Applied Mathematics Letters, Vol. 134
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Modifying Kurchatov’s method to find multipleroots
Mathematical Modelling in Engineering & Human Behaviour: MME&HB2022 (Universidad Politécnica de Valencia (UPV)), pp. 257-262
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On the effect of the multidimensional weight functions on the stability of iterative processes
Journal of Computational and Applied Mathematics, Vol. 405
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Symmetry in the Multidimensional Dynamical Analysis of Iterative Methods with Memory
Symmetry, Vol. 14, Núm. 3
2020
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Anomalies in the convergence of Traub-type methods with memory
Computational and Mathematical Methods
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Impact on stability by the use of memory in traub-type schemes
Mathematics, Vol. 8, Núm. 2
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On the choice of the best members of the Kim family and the improvement of its convergence
Mathematical Methods in the Applied Sciences
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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
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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
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Generalized high-order classes for solving nonlinear systems and their applications
Mathematics, Vol. 7, Núm. 12
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Generating root-finder iterative methods of second order: Convergence and stability
Axioms, Vol. 8, Núm. 2
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Stability and applicability of iterative methods with memory
Journal of Mathematical Chemistry, Vol. 57, Núm. 5, pp. 1282-1300