Efficient eigenvalue computation for quasiseparable Hermitian matrices under low rank perturbations
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Publication:2483050
DOI10.1007/s11075-008-9172-0zbMath1139.65026OpenAlexW2165797890MaRDI QIDQ2483050
Israel Gohberg, Luca Gemignani, Yu.S.Eidel'man
Publication date: 5 May 2008
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11075-008-9172-0
complexitynumerical experimentsHermitian matrixquasiseparable matricesHessenberg reductionQR eigenvalue algorithm
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Complexity and performance of numerical algorithms (65Y20)
Related Items (11)
Structured backward errors in linearizations ⋮ A fast implicit QR eigenvalue algorithm for companion matrices ⋮ Unnamed Item ⋮ A condensed representation of almost normal matrices ⋮ Block tridiagonal reduction of perturbed normal and rank structured matrices ⋮ Fast computation of eigenvalues of companion, comrade, and related matrices ⋮ Implicit QR for companion-like pencils ⋮ A CMV-Based Eigensolver for Companion Matrices ⋮ Rank-Structured QR for Chebyshev Rootfinding ⋮ Fast and Backward Stable Computation of Roots of Polynomials ⋮ Fast Hessenberg Reduction of Some Rank Structured Matrices
Uses Software
Cites Work
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