• Title/Summary/Keyword: exact

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The schur group of a Krull domain

  • Shin, Kyung-Hee;Lee, Hei-Sook
    • Communications of the Korean Mathematical Society
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    • v.10 no.3
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    • pp.527-539
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    • 1995
  • We consider the Schur groups of some module categories, which are subcategories of category of divisorial modules over a Krull domain. Then we obtain the exact sequence connecting class group, Schur class group and Schur groups of these categories.

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GENERALIZATION ON PRODUCT DEGREE DISTANCE OF TENSOR PRODUCT OF GRAPHS

  • PATTABIRAMAN, K.
    • Journal of applied mathematics & informatics
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    • v.34 no.3_4
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    • pp.341-354
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    • 2016
  • In this paper, the exact formulae for the generalized product degree distance, reciprocal product degree distance and product degree distance of tensor product of a connected graph and the complete multipartite graph with partite sets of sizes m0, m1, ⋯ , mr−1 are obtained.

DOMAIN OF EXISTENCE OF A PERTURBED CAUCHY PROBLEM OF ODE

  • Kim, June Gi
    • Korean Journal of Mathematics
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    • v.10 no.1
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    • pp.53-58
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    • 2002
  • In this paper we consider the Cauchy problem $$dx(t)/dt=x(t)^n,\;x(0)=x_0$$. The domain of existence is lower semicontinuous for perturbations of the data. We present a simple formula for the time of existence which is exact when there exists no perturbations.

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SOME POPULAR WAVELET DISTRIBUTION

  • Nadarajah, Saralees
    • Bulletin of the Korean Mathematical Society
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    • v.44 no.2
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    • pp.265-270
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    • 2007
  • The modern approach for wavelets imposes a Bayesian prior model on the wavelet coefficients to capture the sparseness of the wavelet expansion. The idea is to build flexible probability models for the marginal posterior densities of the wavelet coefficients. In this note, we derive exact expressions for a popular model for the marginal posterior density.

Accuracy of Brownian Motion Approximation in Group Sequential Methods

  • Euy Hoon Suh
    • Communications for Statistical Applications and Methods
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    • v.6 no.1
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    • pp.207-220
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    • 1999
  • In this paper, some of the issue about a group sequential method are considered in the Bayesian context. The continuous time optimal stopping boundary can be used to approximate the optimal stopping boundary for group sequential designs. The exact stopping boundary for group sequential design is obtained by using the backward induction method and is compared with the continuous optimal stopping boundary and the corrected continuous stopping boundary.

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