2003Unpublished venueRequires access

An Optimal Regularization Strategy for Solving the First Kind of Fredholm Integral Equations Numerical Analysis

Li Gong

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Abstract

With aids of Matlab software, the modified Tikhonov regularization algorithm established by LI Gong sheng et al is applied to solve the first kind of Fredholm integral equations. The numerical results show that this new regularization scheme is more accurate than ordinary Tikhonov regularization and the regularized solution can achieve higher convergence rate, which roughly coincides with the theoretical analysis.

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What this paper is about

With aids of Matlab software, the modified Tikhonov regularization algorithm established by LI Gong sheng et al is applied to solve the first kind of Fredholm integral equations. The numerical results show that this new regularization scheme is more accurate than ordinary Tikhonov regularization and the regularized solution can achieve higher convergence rate, which roughly coincides with the theoretical analysis.

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Available abstract

With aids of Matlab software, the modified Tikhonov regularization algorithm established by LI Gong sheng et al is applied to solve the first kind of Fredholm integral equations. The numerical results show that this new regularization scheme is more accurate than ordinary Tikhonov regularization and the regularized solution can achieve higher convergence rate, which roughly coincides with the theoretical analysis.

Key concepts: Tikhonov regularization, Regularization (linguistics), Fredholm integral equation, Backus–Gilbert method, Mathematics, Regularization perspectives on support vector machines, Integral equation, Applied mathematics

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