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The symmetric eigenvalue problem; 4. Eigenspaces and their approximation; 5. Krylov sequence methods; 6. Alternatives; 7. Appendix: Background; Index.

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Matrix Algorithms Volume II Eigensystems~Tqw~_darksiderg

This is the second volume in a projected five-volume survey of numerical linear algebra and matrix algorithms. It treats the numerical solution of dense and large-scale eigenvalue problems with an emphasis on algorithms and the theoretical background required to understand them.

Coding a simple PageRank algorithm with Matlab

Computers and Math. Golub, G.

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  3. ISBN 10: 0898715032.

Stewart, G. Demillo, R.

Zippel, R. LNCS, vol. Springer, Berlin Google Scholar.

Matrix Algorithms | Society for Industrial and Applied Mathematics

Schwartz, J. Wang, X.

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    Matrix Algorithms: Volume II: Eigensystems

    Vandebril, R. Personalised recommendations. Cite paper How to cite? ENW EndNote.