
UHML stability of a class of $ \Delta $-Hilfer FDEs via CRM
Author(s) -
Safoura Rezaei Aderyani,
AUTHOR_ID,
Reza Saadati,
Donal O’Regan,
Thabet Abdeljawad,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2022328
Subject(s) - class (philosophy) , stability (learning theory) , mathematics , delta , computer science , physics , artificial intelligence , astronomy , machine learning
We apply CRM based on an alternative FPT to investigate the approximation of a $ \Delta $-Hilfer FDE. In comparison to the Picard method, we show that the CRM has a better error estimate and economic solution.