@Article{cmes.2014.100.019,
AUTHOR = {F.  Yang, C.L.  Fu, X.X.  Li},
TITLE = {The Generalized Tikhonov Regularization Method for High Order Numerical Derivatives},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {100},
YEAR = {2014},
NUMBER = {1},
PAGES = {19--29},
URL = {http://www.techscience.com/CMES/v100n1/27046},
ISSN = {1526-1506},
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 <i>a priori</i> and <i>a posteriori</i> parameter choice rules, respectively. Numerical examples are presented to illustrate the validity and effectiveness of this method.},
DOI = {10.3970/cmes.2014.100.019}
}