• 제목/요약/키워드: Blasius problem

검색결과 3건 처리시간 0.023초

MODIFIED DECOMPOSITION METHOD FOR SOLVING INITIAL AND BOUNDARY VALUE PROBLEMS USING PADE APPROXIMANTS

  • Noor, Muhammad Aslam;Noor, Khalida Inayat;Mohyud-Din, Syed Tauseef;Shaikh, Noor Ahmed
    • Journal of applied mathematics & informatics
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    • 제27권5_6호
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    • pp.1265-1277
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    • 2009
  • In this paper, we apply a new decomposition method for solving initial and boundary value problems, which is due to Noor and Noor [18]. The analytical results are calculated in terms of convergent series with easily computable components. The diagonal Pade approximants are applied to make the work more concise and for the better understanding of the solution behavior. The proposed technique is tested on boundary layer problem; Thomas-Fermi, Blasius and sixth-order singularly perturbed Boussinesq equations. Numerical results reveal the complete reliability of the suggested scheme. This new decomposition method can be viewed as an alternative of Adomian decomposition method and homotopy perturbation methods.

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등온 수평 평판 위를 지나는 층류유동 의 열적 불안전성 및 열전달 상관관계 (Thermal Instability and Heat Transfer Correlations of Laminar Flow over Isothermal Horizontal Flat Plate)

  • 박병완;유정열;최창균;노승탁
    • 대한기계학회논문집
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    • 제9권5호
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    • pp.613-620
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    • 1985
  • 본 연구의 목적은 수평 Blasius유동의 열적 불안정성 문제에서 유동방향 좌표 에도 의존하는 교란양을 최초로 도입함으로써 보다 합리적인 안정성 해석을 수행하고 그 결과를 기존의 실험적 및 이론적인 자료들과 비교하며 이를 토대로 한 보다 실제적 인 열전달 상관관계를 얻고자 하는데 있다.

Reinterpretation of Multiple Correspondence Analysis using the K-Means Clustering Analysis

  • Choi, Yong-Seok;Hyun, Gee Hong;Kim, Kyung Hee
    • Communications for Statistical Applications and Methods
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    • 제9권2호
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    • pp.505-514
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    • 2002
  • Multiple correspondence analysis graphically shows the correspondent relationship among categories in multi-way contingency tables. It is well known that the proportions of the principal inertias as part of the total inertia is low in multiple correspondence analysis. Moreover, although this problem can be overcome by using the Benzecri formula, it is not enough to show clear correspondent relationship among categories (Greenacre and Blasius, 1994, Chapter 10). In addition, they show that Andrews' plot is useful in providing the correspondent relationship among categories. However, this method also does not give some concise interpretation among categories when the number of categories is large. Therefore, in this study, we will easily interpret the multiple correspondence analysis by applying the K-means clustering analysis.