Results 21 to 30 of about 297,374 (195)
Using Permutations for Hierarchical Clustering of Time Series
Entropy, 2019 Two distances based on permutations are considered to measure the similarity of two time series according to their strength of dependency. The distance measures are used together with different linkages to get hierarchical clustering methods of time ...
Jose S. Cánovas +2 more
doaj +1 more source
Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals. [PDF]
Biom JABSTRACT Gaussian processes and the Kullback–Leibler divergence have been deeply studied in statistics and machine learning. This paper marries these two concepts and introduce the local Kullback–Leibler divergence to learn about intervals where two Gaussian processes differ the most.
Hernández N, Martos G.
europepmc +2 more sources
Dynamics of non-convolution operators and holomorphy types [PDF]
, 2018 In this article we study the hypercyclic behavior of non-convolution operators defined on spaces of analytic functions of different holomorphy types over Banach spaces.
Muro, Luis Santiago Miguel +2 more
core +1 more source
Reducing Chaos and Bifurcations in Newton-Type Methods
Abstract and Applied Analysis, 2013 We study the dynamics of some Newton-type iterative methods when they are applied of polynomials degrees two and three. The methods are free of high-order derivatives which are the main limitation of the classical high-order iterative schemes.
S. Amat, S. Busquier, Á. A. Magreñán
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Journal of Inequalities and Applications, 2019 In this paper we study the curvature term for the Lagrange and PPH (Amat et al. in Found. Comput. Math. 6:193–225, 2006 and Ortiz and Trillo in Preprint, arXiv:1811.10566, 2018) reconstruction operators in uniform and nonuniform meshes.
J. C. Trillo, P. Ortiz
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Collocation Methods for High-Order Well-Balanced Methods for Systems of Balance Laws
Mathematics, 2021 In some previous works, two of the authors introduced a technique to design high-order numerical methods for one-dimensional balance laws that preserve all their stationary solutions. The basis of these methods is a well-balanced reconstruction operator.
Irene Gómez-Bueno +3 more
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Parameters and fractional factors in different settings
Journal of Inequalities and Applications, 2019 In computer networks, the feasibility of data transmission can be measured in terms of fractional factor model, and specifically the framework of fractional critical deleted graph can express the setting when certain sites and channels are unavailable at
Wei Gao, Juan L. G. Guirao
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On a Family of High-Order Iterative Methods under Kantorovich Conditions and Some Applications
Abstract and Applied Analysis, 2012 This paper is devoted to the study of a class of high-order iterative methods for nonlinear equations on Banach spaces. An analysis of the convergence under Kantorovich-type conditions is proposed.
S. Amat +4 more
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La modelación matemática, una estrategia para la enseñanza de la estadística
, 2020 espanolEste articulo socializa la experiencia tomada del proyecto “Ensenanza de la estadistica: un desafio abordado por la modelacion matematica” financiado por la Universidad Popular del Cesar en su convocatoria 2018, aplicada en 2019 con estudiantes de
Roberto Carlos Caballero Florez +3 more
semanticscholar +1 more source
Expanding the Applicability of a Third Order Newton-Type Method Free of Bilinear Operators
Algorithms, 2015 This paper is devoted to the semilocal convergence, using centered hypotheses, of a third order Newton-type method in a Banach space setting. The method is free of bilinear operators and then interesting for the solution of systems of equations.
Sergio Amat +3 more
doaj +1 more source