A Tikhonov Regularization Based Algorithm for Scattered Data with Random Noise

With the rapid growth of data, how to extract effective information from data is one of the most fundamental problems. In this paper, based on Tikhonov regularization, we propose an effective method for reconstructing the function and its derivative from scattered data with random noise. Since the n...

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Bibliographische Detailangaben

Hauptverfasser:	Zhang, Jiantang, Cheng, Jin, Zhong, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Numerical Analysis Mathematics - Numerical Analysis
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