Results 1 to 10 of about 3,611,085 (310)
Weak convergence theorem for a class of split variational inequality problems and applications in a Hilbert space [PDF]
Journal of Inequalities and Applications, 2017 In this paper, we consider the algorithm proposed in recent years by Censor, Gibali and Reich, which solves split variational inequality problem, and Korpelevich’s extragradient method, which solves variational inequality problems. As our main result, we
Ming Tian, Bing-Nan Jiang
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On the Weak Convergence of the Extragradient Method for Solving Pseudo-Monotone Variational Inequalities. [PDF]
J Optim Theory Appl, 2018 In infinite-dimensional Hilbert spaces, we prove that the iterative sequence generated by the extragradient method for solving pseudo-monotone variational inequalities converges weakly to a solution. A class of pseudo-monotone variational inequalities is
Vuong PT.
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Weak Convergence and Weak Convergence [PDF]
Formalized Mathematics, 2015 In this article, we deal with weak convergence on sequences in real normed spaces, and weak* convergence on sequences in dual spaces of real normed spaces.
Keiko Narita, Y. Shidama, N. Endou
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On Weak Statistical Convergence [PDF]
International Journal of Mathematics and Mathematical Sciences, 2007 The main object of this paper is to introduce a new concept of weak statistically Cauchy sequence in a normed space. It is shown that in a reflexive space, weak statistically Cauchy sequences are the same as weakly statistically convergent sequences ...
Vinod K. Bhardwaj, Indu Bala
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Local weak convergence for PageRank [PDF]
The Annals of Applied Probability, 2018 PageRank is a well-known algorithm for measuring centrality in networks. It was originally proposed by Google for ranking pages in the World-Wide Web. One of the intriguing empirical properties of PageRank is the so-called `power-law hypothesis': in a ...
Alessandro Garavaglia +2 more
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Weak convergence of explicit extragradient algorithms for solving equilibirum problems
Journal of Inequalities and Applications, 2019 This paper aims to propose two new algorithms that are developed by implementing inertial and subgradient techniques to solve the problem of pseudomonotone equilibrium problems.
Habib ur Rehman +3 more
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Weak convergence and spectrality of infinite convolutions [PDF]
Advances in Mathematics, 2022 . Let { A k } ∞ k =1 be a sequence of finite subsets of R d satisfying that # A k ≥ 2 for all integers k ≥ 1. In this paper, we first give a sufficient and necessary condition for the existence of the infinite convolution where all sets A k ⊆ R d + and δ A ...
Wenxia Li, J. Miao, Zhiqiang Wang
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On weak convergence of quasi-infinitely divisible laws [PDF]
Pacific Journal of Mathematics, 2022 We study a new class of so-called quasi-infinitely divisible laws, which is a wide natural extension of the well known class of infinitely divisible laws through the L\'evy--Khinchine type representations.
A. Khartov
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Weak and weak*I^K-convergence in normed spaces
Ratio Mathematica, 2023 The main object of this paper is to study the concept of weak $I^K$-convergence, a generalization of weak $I^*$-convergence of sequences in a normed space, introducing the idea of weak* $I^K$-convergence of sequences of functionals where $I,K$ are two ...
Mahendranath Paul, Amar Kumar Banerjee
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Weak convergence for variational inequalities with inertial-type method [PDF]
Applicable Analysis, 2020 Weak convergence of inertial iterative method for solving variational inequalities is the focus of this paper. The cost function is assumed to be non-Lipschitz and monotone.
Y. Shehu, O. Iyiola
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