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The Generalized Tikhonov Regularization Method for High Order Numerical Derivatives

F. Yang1, C.L. Fu2, X.X. Li1

School of Science, Lanzhou University of Technology, Lanzhou, Gansu, China.
School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu, China

Computer Modeling in Engineering & Sciences 2014, 100(1), 19-29. https://doi.org/10.3970/cmes.2014.100.019

Abstract

Numerical differentiation is a classical ill-posed problem. The generalized Tikhonov regularization method is proposed to solve this problem. The error estimates are obtained for a priori and a posteriori parameter choice rules, respectively. Numerical examples are presented to illustrate the validity and effectiveness of this method.

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Yang, F., Fu, C., Li, X. (2014). The Generalized Tikhonov Regularization Method for High Order Numerical Derivatives. CMES-Computer Modeling in Engineering & Sciences, 100(1), 19–29. https://doi.org/10.3970/cmes.2014.100.019



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