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Additional info for Numerical analysis for integral and related operator equations
QR like algorithms an overview of convergence theory and practice. Lectures Appl. Math. 32, 879–893 (1996) 25. : Convergence of algorithms of decomposition type for the eigenvalue problem. Linear Algebra and Its Applications. 143, 19–47 (1991) 26. : Chasing algorithms for the eigenvalue problem. SIAM J. Matrix Anal. Appl. 12(2), 374–384 (1991) A QR–method for computing the singular values via semiseparable matrices 195 27. : Theory of decomposition and bulge-chasing algorithms for the generalized eigenvalue problem.
The Lanczos-Ritz values appearing in an orthogonal similarity reduction of a matrix into semiseparable form. Leuven, Leuven, Belgium, May 2003 19. : Two fast algorithms for solving diagonal-plus-semiseparable linear systems. J. Comput. Appl. Math. 164–165, 731–747 (2004) 20. : An implicit QR algorithm for semiseparable matrices to compute the eigendecomposition of symmetric matrices. Leuven, Leuven, Belgium, August 2003 21. : A note on the representation and definition of semiseparable matrices.
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