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• W2945482022 abstract "Abstract In this paper we employ the Euclidean division for polynomials to recover uniquely a Jacobi matrix in terms of the mixed spectral data consisting of its partial entries and the information given on its full spectrum together with a subset of eigenvalues of its truncated matrix obtained by deleting the last row and last column, or its rank-one modification matrix modified by adding a constant to the last element. A necessary and sufficient condition is provided for the existence of the inverse problem. A numerical algorithm and a numerical example are given." @default.
• W2945482022 created "2019-05-29" @default.
• W2945482022 creator A5018910360 @default.
• W2945482022 creator A5081100151 @default.
• W2945482022 date "2019-10-01" @default.
• W2945482022 modified "2023-09-23" @default.
• W2945482022 title "A method for recovering Jacobi matrices with mixed spectral data" @default.
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• W2945482022 doi "https://doi.org/10.1016/j.amc.2019.04.050" @default.
• W2945482022 hasPublicationYear "2019" @default.
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