Vicente F. Candela

Dr. Vicente F. Candela

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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14 May 2008 in Journal of Mathematical Imaging and Vision
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PRPantaleón D. Romero
Pantaleón D. Romero
VCVicente F. Candela
Vicente F. Candela

1 January 2025 in Journal of Applied Analysis & Computation
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VCVicente F. Candela
Vicente F. Candela
NENatalia Expósito
Natalia Expósito
PMPedro J. Martínez−Aparicio
Pedro J. Martínez−Aparicio
JTJuan Carlos Trillo
Juan Carlos Trillo
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.

12 March 2022 in Mathematics
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VCVicente F. Candela
Vicente F. Candela
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.