Algorithms for experimental data analysis allowing for additional a priori information

DOI10.1007/BF01128925zbMath0797.65004OpenAlexW2032629761MaRDI QIDQ1324109

A. I. Grebennikov

Publication date: 27 October 1994

Published in: Computational Mathematics and Modeling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf01128925

zbMATH Keywords

numerical examplesderivativesexperimental dataa priori informationrenewal of functions

Mathematics Subject Classification ID

Algorithms for approximation of functions (65D15)

Cites Work

• Smoothing by spline functions.
• An explicit method for approximating functions of one or several variables by splines
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