A New Mollification Method for Numerical Differentiation of 2D Periodic Functions

摘要：

In this paper, we present a new method for numerical differentiation of bivariate periodic functions when a set of noisy data is given. TSVD is chosen as the needed regu-larization technique. It turns out the new method coincides with some type of truncated Fourier series approach. A numerical example is also given to show the efficiency of the method.

作者: Zhenyu Zhao Zehong Meng Li Xu Junfeng Liu

作者单位: Guangdong Ocean University College of Science 524088 Zhanjiang, China Zhejiang University Of Finance & Economics School of Mathematics and Statistics 310018 Hangzhou, Chi Tianjin Univerity of Commerce College of Science 300134 Tianjin, China Military Traffic Institute Department of Fundamental Courses Tianjin 300161 China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 205-207

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）