A Posteriori Fractional Tikhonov Regularization Method for the Problem of Analytic Continuation
Xuemin Xue, Xiangtuan Xiong
Abstract
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Xuemin Xue, Xiangtuan Xiong
Abstract
Open-access reader
In this paper, the numerical analytic continuation problem is addressed and a fractional Tikhonov regularization method is proposed. The fractional Tikhonov regularization not only overcomes the difficulty of analyzing the ill-posedness of the continuation problem but also obtains a more accurate numerical result for the discontinuity of solution. This article mainly discusses the a posteriori parameter selection rules of the fractional Tikhonov regularization method, and an error estimate is given. Furthermore, numerical results show that the proposed method works effectively.
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In this paper, the numerical analytic continuation problem is addressed and a fractional Tikhonov regularization method is proposed. The fractional Tikhonov regularization not only overcomes the difficulty of analyzing the ill-posedness of the continuation problem but also obtains a more accurate numerical result for the discontinuity of solution. This article mainly discusses the a posteriori parameter selection rules of the fractional Tikhonov regularization method, and an error estimate is given. Furthermore, numerical results show that the proposed method works effectively.
Key concepts: Tikhonov regularization, Regularization (linguistics), Backus–Gilbert method, Regularization perspectives on support vector machines, Continuation, Mathematics, A priori and a posteriori, Analytic continuation