Regularised numerical differentiation

Versione 1.0.2 (31,6 KB) da Jakub Wagner
Tools for differentiation of error-corrupted data
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Aggiornato 8 lug 2021

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Implementation of various methods for numerical differentiation of vectors of data corrupted with measurement errors. Regularisation parameters are optimised automatically. For instructions, see help rdiff. For exemplary usages, see example.m.
Some details about the implemented methods can be found in chapters 3 and 4 of my Ph.D. thesis, available under the following link:
https://repo.pw.edu.pl/docstore/download/WUT11e668e05d284ea4b708c21ca9ca4803/

Cita come

Jakub Wagner (2026). Regularised numerical differentiation (https://it.mathworks.com/matlabcentral/fileexchange/74165-regularised-numerical-differentiation), MATLAB Central File Exchange. Recuperato .

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1.0.2

Added link to thesis in the description.
1.0.1

Changed title and summary
1.0.0