The TSVD Method for Numerical Differentiation of 2D Functions

摘要：

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) regu1arization approach of weighted generalized solution for reasonable equations has been introduced to deal with the ill-posedness 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.

关键词： numerical differentiation ill posed problem the truncated singular value decomposition method

作者: Zhenyu Zhao Chuan Yue

作者单位: College of Science Guangdong Ocean University Zhangjiang, China College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chon

会议类型: 国际会议

会议名称: The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

会议地点: 黄山

会议语种:英文

页码: 7-10

在线出版日期: 2010-05-28（万方平台首次上网日期，不代表论文的发表时间）