A Haar wavelet method for linear and nonlinear stochastic Itô–Volterra integral equation driven by a fractional Brownian motion
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Publication:5859963
DOI10.1080/07362994.2020.1858873zbMath1482.60089OpenAlexW3122691191MaRDI QIDQ5859963
Publication date: 18 November 2021
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07362994.2020.1858873
convergence analysisfractional Brownian motionerror estimationstochastic operational matrixstochastic Itô-Volterra integral equationHaar wavelets basis
Fractional processes, including fractional Brownian motion (60G22) Stochastic integral equations (60H20)
Related Items (3)
A novel study based on shifted Jacobi polynomials to find the numerical solutions of nonlinear stochastic differential equations driven by fractional Brownian motion ⋮ Shifted Chebyshev spectral Galerkin method to solve stochastic Itô-Volterra integral equations driven by fractional Brownian motion appearing in mathematical physics ⋮ A combination method for numerical solution of the nonlinear stochastic Itô-Volterra integral equation
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