A new regularization approach for numerical differentiation-Reference-Cited by-同舟云学术

A new regularization approach for numerical differentiation

Published:2020-06-04 Issue:12 Volume:28 Page:1747-1772
ISSN:1741-5977
Container-title:Inverse Problems in Science and Engineering
language:en
Short-container-title:Inverse Problems in Science and Engineering

Author:

Nayak Abinash¹

Affiliation:

1. Department of Mathematics, University of Alabama at Birmingham, Birmingham, AL, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17415977.2020.1763983

Reference28 articles.

1. Knowles I, Renka RJ. 2014. Methods for numerical differentiation of noisy data. Proceedings of the variational and topological methods: theory, applications, numerical simulations, and open problems, Vol. 21. San Marcos (TX): Texas State University; 2014. p. 235–246.

2. Numerical differentiation from a viewpoint of regularization theory

3. Numerical derivatives from one-dimensional scattered noisy data

4. On stable numerical differentiation

5. Heuristic regularization methods for numerical differentiation

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