Results 11 to 20 of about 241,544 (303)
Strong Proximal Continuity and Convergence [PDF]
Abstract and Applied Analysis, 2013 In several situations the notion of uniform continuity can be strengthened to strong uniform continuity to produce interesting properties, especially in constrained problems. The same happens in the setting of proximity spaces.
Agata Caserta +2 more
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Strong μ‐faster convergence and strong μ‐acceleration of convergence by regular matrices [PDF]
Mathematical Modelling and Analysis, 2008 The present paper continues the study of acceleration of convergence started in the paper [A. Aasma, Proc. Estonian Acad. Sci. Phys. Math., 2006, 55, 4, 195–209].
Ants Aasma
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Modularity of Convergence and Strong Convergence in Infinitary Rewriting [PDF]
Logical Methods in Computer Science, 2010 Properties of Term Rewriting Systems are called modular iff they are preserved under (and reflected by) disjoint union, i.e. when combining two Term Rewriting Systems with disjoint signatures.
Stefan Michael Kahrs
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On statistical convergence and strong Cesàro convergence by moduli [PDF]
Journal of Inequalities and Applications, 2019 In this paper we will establish a result by Connor, Khan and Orhan (Analysis 8:47–63, 1988; Publ. Math. (Debr.) 76:77–88, 2010) in the framework of the statistical convergence and the strong Cesàro convergence defined by a modulus function f. Namely, for
Fernando León-Saavedra +3 more
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Correction to: On statistical convergence and strong Cesàro convergence by moduli
Journal of Inequalities and Applications, 2023 We correct a logic mistake in our paper “On statistical convergence and strong Cesàro convergence by moduli” (León-Saavedra et al. in J. Inequal. Appl. 23:298, 2019).
Fernando León-Saavedra +3 more
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Strong Convergence of a Projected Gradient Method [PDF]
Journal of Applied Mathematics, 2012 The projected-gradient method is a powerful tool for solving constrained convex optimization problems and has extensively been studied. In the present paper, a projected-gradient method is presented for solving the minimization problem, and the strong ...
Shunhou Fan, Yonghong Yao
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Strong Convergence and a Game of Numbers
European Journal of Combinatorics, 1996 S. Mozes investigated a certain solitary game played on a weighted graph. Numbers are placed on the nodes of the graph, and a move consists of changing the sign of a negative number and changing the numbers on the neighboring nodes according to the ...
Eriksson, Kimmo
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Strong Boundedness and Strong Convergence in Sequence Spaces
Canadian Journal of Mathematics, 1991 Strong convergence has been investigated in summability theory and Fourier analysis. This paper extends strong convergence to a topological property of sequence spaces E. The more general property of strong boundedness is also defined and examined.
Martin Buntinas, Naza Tanović-Miller
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On strong almost convergence and uniform statistical convergence
Acta et Commentationes Universitatis Tartuensis de Mathematica, 1998 The definition of strong almost convergence is extended to a definition of strong almost convergence with respect to an Orlicz function. It is shown that every bounded uniformly statistically null sequence is also strongly almost convergent to zero with ...
Pehlivan, Serpil
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Strong convergence of multivariate maxima [PDF]
Journal of Applied Probability, 2020 AbstractIt is well known and readily seen that the maximum of n independent and uniformly on [0, 1] distributed random variables, suitably standardised, converges in total variation distance, as n increases, to the standard negative exponential distribution. We extend this result to higher dimensions by considering copulas.
Falk, Micheal +2 more
openaire +4 more sources