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- W259156686 abstract "Abstract : For over one hundred years, the eigenvalue problem has been investigated by mathematicians, physicists, and engineers. Scientists explored the characterization, location, perturbation and computation of eigenvalues, to name a few topics. This thesis is devoted to the separation of eigenvalues. We will find the minimum gap between eigenvalues over an interesting class of tridiagonal matrices. We consider unreduced n x n symmetric tridiagonal matrices with all subdiagonal entries." @default.
- W259156686 created "2016-06-24" @default.
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- W259156686 date "1992-07-01" @default.
- W259156686 modified "2023-09-24" @default.
- W259156686 title "Minimum Eigenvalue Separation" @default.
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- W259156686 doi "https://doi.org/10.21236/ada256570" @default.
- W259156686 hasPublicationYear "1992" @default.
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