• 제목/요약/키워드: convergence theorem.

검색결과 288건 처리시간 0.024초

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

  • Cholamjiak, Watcharaporn;Chutibutr, Natchaphan;Weerakham, Siwanat
    • 대한수학회논문집
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    • 제33권3호
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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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    • 제23권2호
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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
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제7권2호
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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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    • 제14권1호
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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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    • 제23권2호
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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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    • 제11권1호
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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
    • 충청수학회지
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    • 제23권1호
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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.