DocumentCode
524611
Title
The TSVD Method for Numerical Differentiation of 2D Functions
Author
Zhao, Zhenyu ; Yue, Chuan
Author_Institution
Coll. of Sci., Guangdong Ocean Univ., Zhangjiang, China
Volume
1
fYear
2010
fDate
28-31 May 2010
Firstpage
7
Lastpage
10
Abstract
Numerical is a a classical ill-posed problem. In this paper, we propose a new method for numerical differentiation of bivariate functions. The truncated singular value decomposition (TSVD)regularization approach of weighted generalized solution for reasonable equations has been introduced to deal with the ill-posed ness of the problem. We show that the method can be realized by the discrete sine transform. Theoretical and numerical results show that the method is effective.
Keywords
Computer science; Discrete transforms; Educational institutions; Equations; Marine technology; Oceans; Optimization methods; Sea measurements; Singular value decomposition; Telecommunication computing; ill posed problem; numerical differentiation; the truncated singular value decomposition method;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
Conference_Location
Huangshan, Anhui, China
Print_ISBN
978-1-4244-6812-6
Electronic_ISBN
978-1-4244-6813-3
Type
conf
DOI
10.1109/CSO.2010.11
Filename
5532918
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