Vicente F. Candela
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Vicente F. Candela has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Juan Carlos Trillo
Departamento de Matemática Aplicada y Estadística, Universidad Politécnica de Cartagena, Cartagena, Spain
1 shared publication Natalia Expósito
1 shared publication- Pantaleón David Romero
Departamento de Matemáticas, Física y Ciencias Tecnológicas, Universidad Cardenal Herrera-CEU, CEU Universities, València, Spain
1 shared publication - Pedro J. Martínez-Aparicio
Departamento de Matemáticas Universidad de Almería Almería Spain
1 shared publication
Latest Publications
- 1 January 2025
- Published by Wilmington Scientific Publisher, LLC in Journal of Applied Analysis & Computation
- Vol. 15 (1) , 245-260
ON THE GENERALIZATION OF SECANT METHOD AND THE ORDER OF CONVERGENCE
In this paper we start generalizing the well known Secant and Müller methods by using higher degree polynomials. Although such generalization does already exist, we prove in an original and elegant way that the order of convergence $p$ is limited by p = 2. The techniques used in this paper could also be helpful in other contexts. We also perform some numerical experiments to reinforce the theoretical results.- 1 January 2025
- Published by Wilmington Scientific Publisher, LLC in Journal of Applied Analysis & Computation
- Vol. 15 (1) , 245-260
ON THE GENERALIZATION OF SECANT METHOD AND THE ORDER OF CONVERGENCE
In this paper we start generalizing the well known Secant and Müller methods by using higher degree polynomials. Although such generalization does already exist, we prove in an original and elegant way that the order of convergence $p$ is limited by p = 2. The techniques used in this paper could also be helpful in other contexts. We also perform some numerical experiments to reinforce the theoretical results.- Open Access
- 12 March 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (6) , 911
Dimensionality of Iterative Methods: The Adimensional Scale Invariant Steffensen (ASIS) Method
The dimensionality of parameters and variables is a fundamental issue in physics but is mostly ignored from a mathematical point of view. Difficulties arising from dimensional inconsistency are overcome by scaling analysis and, often, both concepts, dimensionality and scaling, are confused. In the particular case of iterative methods for solving nonlinear equations, dimensionality and scaling affect their robustness: While some classical methods, such as Newton’s, are adimensional and scale independent, some other iterations such as Steffensen’s are not; their convergence depends on scaling, and their evaluation needs a dimensional congruence. In this paper, we introduce the concept of an adimensional form of a function in order to study the behavior of iterative methods, thus correcting, if possible, some pathological features. From this adimensional form, we will devise an adimensional and scale invariant method based on Steffensen’s, which we will call the ASIS method.
- 12 March 2022
- Published by MDPI AG in Mathematics
- Vol. 10 (6) , 911
Open AccessDimensionality of Iterative Methods: The Adimensional Scale Invariant Steffensen (ASIS) Method
The dimensionality of parameters and variables is a fundamental issue in physics but is mostly ignored from a mathematical point of view. Difficulties arising from dimensional inconsistency are overcome by scaling analysis and, often, both concepts, dimensionality and scaling, are confused. In the particular case of iterative methods for solving nonlinear equations, dimensionality and scaling affect their robustness: While some classical methods, such as Newton’s, are adimensional and scale independent, some other iterations such as Steffensen’s are not; their convergence depends on scaling, and their evaluation needs a dimensional congruence. In this paper, we introduce the concept of an adimensional form of a function in order to study the behavior of iterative methods, thus correcting, if possible, some pathological features. From this adimensional form, we will devise an adimensional and scale invariant method based on Steffensen’s, which we will call the ASIS method.
- 14 May 2008
- Published by Springer Nature in Journal of Mathematical Imaging and Vision
- Vol. 32 (2) , 181-191
Blind Deconvolution Models Regularized by Fractional Powers of the Laplacian
- 14 May 2008
- Published by Springer Nature in Journal of Mathematical Imaging and Vision
- Vol. 32 (2) , 181-191
Blind Deconvolution Models Regularized by Fractional Powers of the Laplacian