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Published in 2020 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-020-01187-z
Abstract: The main purpose of this paper is to present a spectral Legendre–Galerkin method for solving Volterra integral equations of the third kind. When the operator associated with the equivalent Volterra integral equations of second kind…
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Keywords:
kind;
legendre galerkin;
method;
third kind ... See more keywords
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Published in 2018 at "International Journal of Applied and Computational Mathematics"
DOI: 10.1007/s40819-018-0580-0
Abstract: In this paper, we consider the Legendre Galerkin and Legendre collocation methods for solving the Fredholm–Hammerstein integral equation with weakly singular kernels. We evaluate the convergence rates for both the methods in both $$L^2$$L2 and…
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Keywords:
spectral projection;
legendre galerkin;
legendre spectral;
iterated legendre ... See more keywords
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Published in 2021 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2021.07.023
Abstract: Abstract A Legendre-Galerkin Chebyshev collocation method is presented for the parabolic inverse problem with control parameters. Optimal order of convergence of the semi-discrete method is obtained in L 2 -norm for the nonlinear term being…
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Keywords:
chebyshev collocation;
galerkin chebyshev;
legendre galerkin;
method ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244681
Abstract: In recent years, machine learning methods have been used to solve partial differential equations (PDEs) and dynamical systems, leading to the development of a new research field called scientific machine learning, which combines techniques such…
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Keywords:
neural network;
partial differential;
machine learning;
differential equations ... See more keywords