• Title/Summary/Keyword: Convergence theorem

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WEAK AND STRONG CONVERGENCE THEOREMS FOR THE MODIFIED ISHIKAWA ITERATION FOR TWO HYBRID MULTIVALUED MAPPINGS IN HILBERT SPACES

  • Cholamjiak, Watcharaporn;Chutibutr, Natchaphan;Weerakham, Siwanat
    • Communications of the Korean Mathematical Society
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    • v.33 no.3
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    • pp.767-786
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    • 2018
  • In this paper, we introduce new iterative schemes by using the modified Ishikawa iteration for two hybrid multivalued mappings in a Hilbert space. We then obtain weak convergence theorem under suitable conditions. We use CQ and shrinking projection methods with Ishikawa iteration for obtaining strong convergence theorems. Furthermore, we give examples and numerical results for supporting our main results.

AN IMPROVED LOCAL CONVERGENCE ANALYSIS FOR SECANT-LIKE METHOD

  • Argyros, Ioannis K.;Hilout, Said
    • East Asian mathematical journal
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    • v.23 no.2
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    • pp.261-270
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    • 2007
  • We provide a local convergence analysis for Secant-like algorithm for solving nonsmooth variational inclusions in Banach spaces. An existence-convergence theorem and an improvement of the ratio of convergence of this algorithm are given under center-conditioned divided difference and Aubin's continuity concept. Our result compare favorably with related obtained in [16].

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THE CONVERGENCE THEOREMS FOR THE McSHANE-STIELTJES INTEGRAL

  • Yoon, Ju-Han;Kim, Byung-Moo
    • The Pure and Applied Mathematics
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    • v.7 no.2
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    • pp.137-143
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    • 2000
  • In this paper, we define the uniformly sequence for the vector valued McShand-Stieltjes integrable functions and prove the dominated convergence theorem for the McShand-Stieltjes integrable functions.

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A convergence of fuzzy random variables

  • Hong, Dug-Hun
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.1
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    • pp.75-82
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    • 2003
  • In this paper, a general convergence theorem of fuzzy random variables is considered. Using this result, we can easily prove the recent result of Joo et al. (2001) and generalize the recent result of Kim(2000).

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Asymptotic Theory for Multi-Dimensional Mode Estimator

  • Kim, Jean-Kyung
    • Journal of the Korean Statistical Society
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    • v.23 no.2
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    • pp.251-269
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    • 1994
  • In this paper we extend Kim and Pollard's cube root asymptotics to other rates of convergence, to establish an asymptotic theory for a multidimensional mode estimator based on uniform kernel with shrinking bandwidths. We obtain rates of convergence depending on shrinking rates of bandwidth and non-normal limit distributions. Optimal decreasing rates of bandwidth are discussed.

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CONVERGENCE TO FRACTIONAL BROWNIAN MOTION AND LOSS PROBABILITY

  • Kim, Jin-Chun;Lee, Hee-Choon
    • Korean Journal of Mathematics
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    • v.11 no.1
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    • pp.35-43
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    • 2003
  • We study the weak convergence to Fractional Brownian motion and some examples with applications to traffic modeling. Finally, we get loss probability for queue-length distribution related to self-similar process.

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A CONVERGENCE THEOREM ON QUASI-ϕ-NONEXPANSIVE MAPPINGS

  • Kang, Shin Min;Cho, Sun Young;Kwun, Young Chel;Qin, Xiaolong
    • Journal of the Chungcheong Mathematical Society
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    • v.23 no.1
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    • pp.73-82
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    • 2010
  • In an infinite-dimensional Hilbert space, the normal Mann iteration has only weak convergence, in general, even for nonexpansive mappings. The purpose of this paper is to modify the normal Mann iteration to have strong convergence for a closed quasi-$\phi$-nonexpansive mapping in the framework of Banach spaces.