Browsing MAT_Articles by Title
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A formula for the conductor of a semimodule of a numerical semigroup with two generators
Springer (2021-03-30)We provide an expression for the conductor c(Δ) of a semimodule Δ of a numerical semigroup Γ with two generators in terms of the syzygy module of Δ and the generators of the semigroup. In particular, we deduce that the ... -
A full probabilistic solution of the random linear fractional differential equation via the random variable transformation technique
John Wiley & Sons, Ltd. (2018-11-28)This paper provides a full probabilistic solution of the randomized fractionallinear nonhomogeneous differential equation with a random initial conditionvia the computation of the first probability density function of the ... -
A Gaussian kernel for Kendall’s space of m-D shapes
Elsevier ScienceDirect (2023-08-15)In this paper, we develop an approach to exploit kernel methods with data lying on the m-D Kendall shape space. When data arise in a finite-dimensional curved Riemannian manifold, as in this case, the usual Euclidean ... -
A general methodology for energy comparison of intermediate configurations in two-stage vapour compression refrigeration systems
Elsevier (2011-07)The aim of the present paper is to describe a general methodology suitable for analysing any intermediate configuration considered in staged vapour compression refrigeration cycles. This general methodology only depends ... -
A Generalized Mazur-Ulam Theorem for Fuzzy Normed Spaces
Hindawi Publishing Corporation (2014-06-02)We introduce fuzzy norm-preserving maps, which generalize the concept of fuzzy isometry. Based on the ideas from Vogt, 1973, and V¨ais¨al¨a, 2003, we provide the following generalized version of theMazur-Ulam theorem in ... -
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
Springer-Verlag GmbH Germany, part of Springer Nature (2021-04-23)The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a heterogeneous pattern. Understanding the underlying temporal and spatial dynamics in the spread of COVID-19 ... -
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
Springer (2021)The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a heterogeneous pattern. Understanding the underlying temporal and spatial dynamics in the spread of COVID-19 ... -
A Kalman filter method for estimation and prediction of space–time data with an autoregressive structure
Elsevier (2019-03)We propose a new Kalman filter algorithm to provide a formal statistical analysis of space–time data with an autoregressive structure. The Kalman filter technique allows to capture the temporal dependence as well as the ... -
A kernel regression procedure in the 3D shape space with an application to online sales of children's wear
Institute of Mathematical Statistics (IMS) (2019)Shape regression is of key importance in many scienti c elds. In this paper, we focus on the case where the shape of an object is represented by a con- guration matrix of landmarks. It is well known that this shape ... -
A Lie-Deprit perturbation algorithm for linear differential equations with periodic coefficients
American Institute of Mathematical Sciences (AIMS) (2014-03)A perturbative procedure based on the Lie-Deprit algorithm of classical mechanics is proposed to compute analytic approximations to the fundamental matrix of linear di erential equations with periodic coe cients. These ... -
A local correlation integral method for outlier detection in spatially correlated functional data
Springer (2023)This paper proposes a new methodology for detecting outliers in spatially correlated functional data. We use a Local Correlation Integral (LOCI) algorithm substituting the Euclidean distance calculation by the Hilbert space ... -
A lower bound for the area of Plateau foams
Springer (2020-04-07)Real foams can be viewed as geometrically well-organized dispersions of more or less spherical bubbles in a liquid. When the foam is so drained that the liquid content significantly decreases, the bubbles become polyhedral-like ... -
A mechanistic bivariate point process model for crime pattern analysis
Wiley (2023)The statistical analysis of crime data has gained attention in the last decade. In particular, the availability of spatio-temporal crime data at the event level allows us to model the incidence of crime with high precision. ... -
A mechanistic spatio-temporal modeling of COVID-19 data
Wiley-VCHGmbH (2022-08-07)Understandingtheevolutionofanepidemicisessentialtoimplementtimelyandefficient preventive measures. The availability of epidemiological data at a finespatio-temporal scale is both novel and highly useful in this regard. ... -
A method to improve the computation of tidal potential in the equilibrium configuration of a close binary system
Taylor & Francis (2009)A classical problem in celestial mechanics is the study of equilibrium configuration figures of extended deformable bodies. A particularly interesting case of this problem is the study of the figures of equilibrium of close ... -
A modified perturbation method for mathematical models with randomness: An analysis through the steady-state solution to Burgers’ PDE
John Wiley and Sons (2020-04-12)The variability of the data and the incomplete knowledge of the true physics require the incorporation of randomness into the formulation of mathematical models. In this setting, the deterministic numerical methods cannot ... -
A Modified SIRD Model to Study the Evolution of the COVID-19 Pandemic in Spain
Multidisciplinary Digital Publishing Institute (2021-04-19)In this paper, we use an SIRD model to analyze the evolution of the COVID-19 pandemic in Spain, caused by a new virus called SARS-CoV-2 from the coronavirus family. This model is governed by a nonlinear system of ... -
A multidimensional dynamical approach to iterative methods with memory
Elsevier (2015-11-15)A dynamical approach on the dynamics of iterative methods with memory for solving nonlinear equations is made. We have designed new methods with memory from Steffensen’ or Traub’s schemes, as well as from a parametric ... -
A neuroimaging data set on problem solving in the case of the reversal error: Putamen data
Elsevier (2020-09-19)Structural Magnetic Resonance Images (sMRI) for a sample of university students were recorded. Out of magnetic resonance, students performed a test of algebra problem solving. As we are interested in reversal errors, the ... -
A new approach to optimize the energy efficiency of CO2 transcritical refrigeration plants
Elsevier (2014-06)This paper proposes a model-free real-time optimization and control strategy for CO2 transcritical refrigeration plants that assures covering the cooling demand and continuous tracking of conditions for maximum efficiency. ...