• Title/Summary/Keyword: Gupta

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Vector Algorithm for RC Shell Element Stiffness Matrix (철근콘크리트 쉘 요소의 강성행렬 계산을 위한 벡터알고리즘)

  • ;A. K. Gupta
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1994.10a
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    • pp.25-30
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    • 1994

  • A vector algorithm for calculating the stiffness matrices of reinforced concrete shell elements is presented. The algorithm is based on establishing vector lengths equal to the number of elements. The computational efficiency of the proposed algorithm is assessed on a Cray Y-MP supercomputer. It is shown that the vector algorithm achieves scalar-to-vector speedup of 1.7 to 7.6 on three inelastic problems.

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APPLICATION OF FIXED POINT THEOREM FOR UNIQUENESS AND STABILITY OF SOLUTIONS FOR A CLASS OF NONLINEAR INTEGRAL EQUATIONS

  • GUPTA, ANIMESH;MAITRA, Jitendra Kumar;RAI, VANDANA
    • Journal of applied mathematics & informatics
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    • v.36 no.1_2
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    • pp.1-14
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    • 2018

  • In this paper, we prove the existence, uniqueness and stability of solution for some nonlinear functional-integral equations by using generalized coupled Lipschitz condition. We prove a fixed point theorem to obtain the mentioned aim in Banach space $X=C([a,b],{\mathbb{R}})$. As application we study some volterra integral equations with linear, nonlinear and single kernel.

  • https://doi.org/10.14317/jami.2018.001 인용 PDF KSCI

Efficiency and Minimaxity of Bayes Sequential Procedures in Simple versus Simple Hypothesis Testing for General Nonregular Models

  • Hyun Sook Oh;Anirban DasGupta
    • Journal of the Korean Statistical Society
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    • v.25 no.1
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    • pp.95-110
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    • 1996

  • We consider the question of efficiency of the Bayes sequential procedure with respect to the optimal fixed sample size Bayes procedure in a simple vs. simple testing problem for data coming from a general nonregular density b(.theta.)h(x)l(x < .theta.). Efficiency is defined in two different ways in these caiculations. Also, the minimax sequential risk (and minimax sequential stratage) is studied as a function of the cost of sampling.

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Confounded Row-Column Designs

  • Choi Kuey Chung;Gupta Sudhir
    • Proceedings of the Korean Statistical Society Conference
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    • 2004.11a
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    • pp.313-317
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    • 2004

  • Confounded row-column designs for factorial experiments are studied in this paper. The Designs, thus, have factorial balance with respect to estimable main effects and interactions. John and Lewis (1983) considered generalized cycle row=column designs for factorial experiments. A simple method of constructing confounded designs using the classical method of confounding for block designs is described in this paper

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