The a posteriori Fourier method for solving ill-posed problems
Chu‐Li Fu, Yuanxiang Zhang, Hao Cheng, Yunjie Ma
Abstract
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Chu‐Li Fu, Yuanxiang Zhang, Hao Cheng, Yunjie Ma
Abstract
Open-access reader
The Fourier method is a rather effective and very simple regularization method for solving some ill-posed problems. The known works on this method are all limited to the a priori choice of the regularization parameter. In this paper, we will systematically consider the a posteriori choice of the regularization parameter, and the corresponding error estimates between the exact solution and its approximation are given. Numerical examples show the effectiveness of the a posteriori method, and the comparisons of the numerical effect between the a posteriori and the a priori Fourier methods are also taken into account.
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The Fourier method is a rather effective and very simple regularization method for solving some ill-posed problems. The known works on this method are all limited to the a priori choice of the regularization parameter. In this paper, we will systematically consider the a posteriori choice of the regularization parameter, and the corresponding error estimates between the exact solution and its approximation are given. Numerical examples show the effectiveness of the a posteriori method, and the comparisons of the numerical effect between the a posteriori and the a priori Fourier methods are also taken into account.
Key concepts: Mathematics, Well-posed problem, A priori and a posteriori, Fourier transform, Applied mathematics, Calculus (dental), Mathematical analysis, Medicine