Results 31 to 40 of about 1,404,374 (329)
On Convergence of Epanechnikov Mean Shift
, 2017 Epanechnikov Mean Shift is a simple yet empirically very effective algorithm for clustering. It localizes the centroids of data clusters via estimating modes of the probability distribution that generates the data points, using the `optimal' Epanechnikov
Fu, Xiao +2 more
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Convergence of phase-field approximations to the Gibbs-Thomson law [PDF]
, 2007 We prove the convergence of phase-field approximations of the Gibbs-Thomson law. This establishes a relation between the first variation of the Van-der-Waals-Cahn-Hilliard energy and the first variation of the area functional.
Röger, M., Tonegawa, Y.
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On Lacunary Mean Ideal Convergence in Generalized Random n-Normed Spaces
Abstract and Applied Analysis, 2014 An ideal I is a hereditary and additive family of subsets of positive integers ℕ. In this paper, we will introduce the concept of generalized random n-normed space as an extension of random n-normed space.
Awad A. Bakery, Mustafa M. Mohammed
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Generalized Post-Widder inversion formula with application to statistics [PDF]
, 2015 In this work we derive an inversion formula for the Laplace transform of a density observed on a curve in the complex domain, which generalizes the well known Post-Widder formula.
Belomestny, Denis +2 more
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The convergence of mean value iteration for a family of maps
International Journal of Mathematics and Mathematical Sciences, 2005 We consider a mean value iteration for a family of functions, which corresponds to the Mann iteration with limn→∞ αn≠0. We prove convergence results for this iteration when applied to strongly pseudocontractive or strongly accretive maps.
B. E. Rhoades, Ştefan M. Şoltuz
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Pointwise convergence of sequential Schrödinger means
Journal of Inequalities and Applications, 2023 AbstractWe study pointwise convergence of the fractional Schrödinger means along sequences $t_{n}$ t n that converge to zero. Our main result is that bounds on the maximal function $\sup_{n} |e^{it_{n}(-\Delta )^{\alpha /2}} f| $
Chu-Hee Cho +3 more
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Mean Convergence Rate of Derivatives by Lagrange Interpolation on Chebyshev Grids
Discrete Dynamics in Nature and Society, 2011 We consider the rate of mean convergence of derivatives by Lagrange interpolation operators based on the Chebyshev nodes. Some estimates of error of the derivatives approximation in terms of the error of best approximation by polynomials are derived. Our
Wang Xiulian, Ning Jingrui
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Continuous time finite state mean field games
, 2012 In this paper we consider symmetric games where a large number of players can be in any one of d states. We derive a limiting mean field model and characterize its main properties.
Gomes, Diogo A. +2 more
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Convergence of the $k$-Means Minimization Problem using $\Gamma$-Convergence [PDF]
SIAM Journal on Applied Mathematics, 2015 The $k$-means method is an iterative clustering algorithm which associates each observation with one of $k$ clusters. It traditionally employs cluster centers in the same space as the observed data. By relaxing this requirement, it is possible to apply the $k$-means method to infinite dimensional problems, for example multiple target tracking and ...
Thorpe, Matthew +3 more
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Convergence acceleration and stabilization for dynamical-mean-field-theory calculations
, 2009 The convergence to the self-consistency in the dynamical-mean-field-theory (DMFT) calculations for models of correlated electron systems can be significantly accelerated by using an appropriate mixing of hybridization functions which are used as the ...
A. C. Hewson +3 more
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