Results 251 to 260 of about 3,611,085 (310)
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Applied Numerical Mathematics, 2020
The projection methods with vanilla inertial extrapolation step for variational inequalities have been of interest to many authors recently due to the improved convergence speed contributed by the presence of inertial extrapolation step.
Y. Shehu, O. Iyiola
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The projection methods with vanilla inertial extrapolation step for variational inequalities have been of interest to many authors recently due to the improved convergence speed contributed by the presence of inertial extrapolation step.
Y. Shehu, O. Iyiola
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Generalized Wasserstein Distance and Weak Convergence of Sublinear Expectations
Journal of theoretical probability, 2015In this paper, we define the generalized Wasserstein distance for sets of Borel probability measures and demonstrate that weak convergence of sublinear expectations can be characterized by means of this distance.
Xinpeng Li, Yiqing Lin
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Statistical Inference for Stochastic Processes : An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems, 2022
Salim Bouzebda, B. Nemouchi
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Salim Bouzebda, B. Nemouchi
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Engineering analysis with boundary elements, 2017
The aim of this work is to investigate and compare the accuracy and convergence behavior of two different numerical approaches based on Differential Quadrature (DQ) and Integral Quadrature (IQ) methods, respectively, when applied to the free vibration ...
Francesco Tornabene +2 more
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The aim of this work is to investigate and compare the accuracy and convergence behavior of two different numerical approaches based on Differential Quadrature (DQ) and Integral Quadrature (IQ) methods, respectively, when applied to the free vibration ...
Francesco Tornabene +2 more
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1998
Abstract We denote the weak partial derivatives of u and the weak gradient of u by respectively. We adopt the usual notation The following properties hold for weak converging sequences.
Andrea Braides, Anneliese Defranceschi
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Abstract We denote the weak partial derivatives of u and the weak gradient of u by respectively. We adopt the usual notation The following properties hold for weak converging sequences.
Andrea Braides, Anneliese Defranceschi
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Approximation of Weak Convergence
Mathematische Nachrichten, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weak Convergence of Random Sums
Theory of Probability & Its Applications, 2002The authors prove various limit theorems for sums of a random number of independent random variables. Throughout, the number of variables is independent of the summands themselves.
Kruglov, V. M., Zhang, Bo
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Weak convergence of iterative methods for solving quasimonotone variational inequalities
Computational optimization and applications, 2020Hongwei Liu, Jun Yang
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Weak Convergence: Introduction
1997Up to now, we have concentrated on the convergence of {θ n } or of {θ n (·)} to an appropriate limit set with probability one. In this chapter, we work with a weaker type of convergence. In practical applications, this weaker type of convergence most often yields exactly the same information about the asymptotic behavior as the probability one methods.
Harold J. Kushner, G. George Yin
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