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    Numerical algorithms for nonlinear fractional stochastic Volterra-type equation

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    Yan - Numerical algorithms AAM.pdf
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    2026-10-13
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    Authors
    Qiao, Leijie
    Li, Qimin
    Yan, Yubin
    Affiliation
    Shanxi University; University of Chester
    Publication Date
    2025-10-13
    
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    Abstract
    In this work, we investigate a class of nonlinear stochastic Volterra-type evolution equations, which can be regarded as an extension of the results reported in Qiao et al. (Fract Calc Appl Anal 27:1136–1161, 2024). For such equations, we propose an Euler scheme and rigorously establish the existence, uniqueness, and regularity of the solution. Moreover, we present the detailed numerical implementation of the scheme and derive the corresponding error estimates.
    Citation
    Qiao, L., Li, Q., & Yan, Y. (2025). Numerical algorithms for nonlinear fractional stochastic Volterra-type equation. International Journal of Applied and Computational Mathematics, 11(6), 227. https://doi.org/10.1007/s40819-025-02053-y
    Publisher
    Springer
    Journal
    International Journal of Applied and Computational Mathematics
    URI
    http://hdl.handle.net/10034/629782
    DOI
    10.1007/s40819-025-02053-y
    Additional Links
    https://link.springer.com/article/10.1007/s40819-025-02053-y
    Type
    Article
    Language
    en
    Description
    This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s40819-025-02053-y
    ISSN
    2349-5103
    EISSN
    2199-5796
    Sponsors
    This work is supported by National Natural Science Foundation of China (12101080), National foreign expert introduction foundation (G2022004016L).
    ae974a485f413a2113503eed53cd6c53
    10.1007/s40819-025-02053-y
    Scopus Count
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    Mathematics

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