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논문 기본 정보

자료유형
학술저널
저자정보
SEUNGPYO SEO (HANHWA CORPORATION) CHANGSOO LEE (SEOUL NATIONAL UNIVERSITY) EUNSA KIM (SEOUL NATIONAL UNIVERSITY) KYEOL YUNE (SEOUL NATIONAL UNIVERSITY) CHONGAM KIM (SEOUL NATIONAL UNIVERSITY)
저널정보
한국산업응용수학회 JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS Journal of the Korean Society for Industrial and Applied Mathematics Vol.24 No.1
발행연도
2020.3
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1 - 22 (22page)

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An accurate and efficient gradient estimation method on unstructured grid is presented by proposing a switching process between two Least-Square methods. Diverse test cases show that the gradient estimation by Least-Square methods exhibit better characteristics compared to Green-Gauss approach. Based on the investigation, switching between the two Least-Square methods, whose merit complements each other, is pursued. The condition number of the Least-Square matrix is adopted as the switching criterion, because it shows clear correlation with the gradient error, and it can be easily calculated from the geometric information of the grid. To illustrate switching process on general grid, condition number is analyzed using stencil vectors and trigonometric relations. Then, the threshold of switching criterion is established. Finally, the capability of Switching Weighted Least-Square method is demonstrated through various two- and three-dimensional applications.

목차

ABSTRACT
1. INTRODUCTION
2. GRADIENT ESTIMATION METHODS
3. ANALYSIS OF PRECEDING APPROACHES
4. LEAST-SQUARE METHOD SWITCHING FUNCTION
5. APPLICATION
6. CONCLUSION
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