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Published in 2024 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-024-02676-9
Abstract: Usurelu et al. (Int J Comput Math 98:1049–1068, 2021) presented stability and data dependence results for a TTP (Thakur–Thakur–Postolache) iteration algorithm associated with quasi-strictly contractive mappings and contraction mappings, respectively, but these results were subject…
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Keywords:
points quasi;
data dependence;
quasi strictly;
iteration algorithm ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3160729
Abstract: Data dependence analysis is a must-do operation for parallelisation since it reveals the safe parallelisable regions of serial codes. Generally, it relies on dynamic analysis, which incurs substantial execution time and memory space overheads. As…
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Keywords:
accelerating data;
data dependence;
interpretation;
analysis ... See more keywords
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Published in 2025 at "Axioms"
DOI: 10.3390/axioms14100738
Abstract: Recent developments in fixed-point theory have focused on iterative techniques for approximating solutions, yet there remain important questions about whether different methods are equivalent and how well they resist perturbations. In this study, two recently…
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Keywords:
non asymptotic;
fixed point;
data dependence;
error bounds ... See more keywords
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Published in 2025 at "Symmetry"
DOI: 10.3390/sym17060885
Abstract: In this work, we employ a more thorough contractive condition to examine the stability and convergence behavior of an Jungck-type iterative scheme for a pair of non-self mappings in a Banach space. Our results show…
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Keywords:
scheme;
data dependence;
iterative scheme;
jungck iterative ... See more keywords