NDED - Numerical derivatives from equispaced data

Authors

  • Nadaniela Egidi
  • Josephin Giacomini
  • Pierluigi Maponi
  • Michael Youssef

DOI:

https://doi.org/10.13135/3103-1935/10815

Keywords:

numerical derivative, integral equation, singular value expansion, FFT

Abstract

Procedure NDED computes the numerical derivatives of order ν from equispaced data. This is based on the iterated application of a spectral algorithm for the computation of the first order derivative. A preliminary test of the procedure gives satisfactory results.

Downloads

Published

2024-07-23

How to Cite

Egidi, N., Giacomini, J., Maponi, P., & Youssef, M. (2024). NDED - Numerical derivatives from equispaced data. Journal of Approximation Software, 1(1). https://doi.org/10.13135/3103-1935/10815

Issue

Vol. 1 No. 1 (2024)

Section

Articles

License

Copyright (c) 2024 Nadaniela Egidi, Josephin Giacomini, Pierluigi Maponi, Michael Youssef

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

JAS only considers unpublished manuscripts.

JAS is committed to electronic open-access publishing since its foundation in 2023 and has chosen to apply the Creative Commons Attribution License (CCAL) CC-BY to all articles.

Under the Creative Commons Attribution License, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in JAS, provided that the original authors and source are credited.