An $\ell^1$ Regularized Method for Numerical Differentiation Using Empirical Eigenfunctions
Received:April 25, 2017  Revised:May 25, 2017
Key Words: numerical differentiation   empirical eigenfunctions   $\ell^1$ regularization   mercer kernel  
Fund Project:Supported by the National Nature Science Foundation of China (Grant Nos.11301052; 11301045; 11271060; 11601064; 11671068), the Fundamental Research Funds for the Central Universities (Grant No.DUT16LK33) and the Fundamental Research of Civil Aircraft (Grant No.MJ-F-2012-04).
Author NameAffiliation
Junbin LI School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
Renhong WANG School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
Min XU School of Mathematical Sciences, Dalian University of Technology, Liaoning 116024, P. R. China 
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Abstract:
      
Citation:
DOI:10.3770/j.issn:2095-2651.2017.04.011
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