ASSOCIATE PROFESSOR
Neus Garrido-Saez
Neus Garrido has a Bachelor in Mathematical Sciences (2016, Universitat de València) and a MsC on Mathematical Research (2017, Universitat Politècnica de València). She also holds a PhD in Mathematics (2020, Universitat Politècnica de València) with her Thesis “Diseño, análisis y estabilidad de métodos iterativos con memoria para la resolución de ecuaciones y sistemas no lineales” supervised by Francisco I. Chicharro, Alicia Cordero and Juan R. Torregrosa.
She currently serves as Associate Professor at Polytechnic School, Universitat Politècnica de València. She is member of the University Institute for Multidisciplinary Mathematics.

Publications
2024
An optimal scheme for finding multiple roots free of derivatives Conference
Mathematical Modelling in Engineering & Human Behaviour 2024, 2024, ISBN: 978-84-09-57681-4.
Dynamical study of a family for solving nonlinear equations with multiple roots Conference
Mathematical Modelling in Engineering & Human Behaviour 2024, 2024, ISBN: 978-84-09-57681-4.
Reduction of execution time in the generation of dynamical planes from iterative methods Conference
24th International Conference on Computational and Mathematical Methods in Science and Engineering, 2024.
Modifying Kurchatov's method to find multiple roots of nonlinear equations Journal Article
In: Applied Numerical Mathematics, vol. 198, pp. 11 – 21, 2024.
2023
An iterative scheme to obtain multiple solutions simultaneously Journal Article
In: Applied Mathematics Letters, vol. 145, 2023.
Memory in the iterative processes for nonlinear problems Journal Article
In: Mathematical Methods in the Applied Sciences, vol. 46, no. 4, pp. 4145 – 4158, 2023.
Design of iterative methods with memory for solving nonlinear systems Journal Article
In: Mathematical Methods in the Applied Sciences, vol. 46, no. 12, pp. 12361 – 12377, 2023.
Simultaneous roots for vectorial problems Journal Article
In: Computational and Applied Mathematics, vol. 42, no. 5, 2023.
Three-step iterative weight function scheme with memory for solving nonlinear problems Journal Article
In: Mathematical Methods in the Applied Sciences, 2023.
2022
On the effect of the multidimensional weight functions on the stability of iterative processes Journal Article
In: Journal of Computational and Applied Mathematics, vol. 405, 2022.
Symmetry in the Multidimensional Dynamical Analysis of Iterative Methods with Memory Journal Article
In: Symmetry, vol. 14, no. 3, 2022.
Iterative schemes for finding all roots simultaneously of nonlinear equations Journal Article
In: Applied Mathematics Letters, vol. 134, 2022.
2020
On the improvement of the order of convergence of iterative methods for solving nonlinear systems by means of memory Journal Article
In: Applied Mathematics Letters, vol. 104, 2020.
Impact on stability by the use of memory in traub-type schemes Journal Article
In: Mathematics, vol. 8, no. 2, 2020.
Anomalies in the convergence of Traub-type methods with memory Journal Article
In: Computational and Mathematical Methods, vol. 2, no. 1, 2020.
On the choice of the best members of the Kim family and the improvement of its convergence Journal Article
In: Mathematical Methods in the Applied Sciences, vol. 43, no. 14, pp. 8051 – 8066, 2020.
2019
Stability and applicability of iterative methods with memory Journal Article
In: Journal of Mathematical Chemistry, vol. 57, no. 5, pp. 1282 – 1300, 2019.
A new efficient parametric family of iterative methods for solving nonlinear systems Journal Article
In: Journal of Difference Equations and Applications, vol. 25, no. 9-10, pp. 1454 – 1467, 2019.
Generating root-finder iterative methods of second order: Convergence and stability Journal Article
In: Axioms, vol. 8, no. 2, 2019.
Generalized high-order classes for solving nonlinear systems and their applications Journal Article
In: Mathematics, vol. 7, no. 12, 2019.
Wide stability in a new family of optimal fourth-order iterative methods Journal Article
In: Computational and Mathematical Methods, vol. 1, no. 2, 2019.