The Algebraic Eigenvalue Problem (Nmsc)

A study of what the author learnt about the art of computing matrix eigenvalues by means of trying all methods known to him on computers he helped to make.

'Questions of sensitivity, and the economy and stability of many numerical methods are treated in rigorous detail, but always in a manner accessible to engineers and scientists.' Quarterly of Applied Mathematics

Klappentext
This volume, which became a classic on first publication, is perhaps the most important and widely read book in the field of numerical analysis. It presents a distillation of the author's pioneering discoveries concerning the computation of matrix eigenvalues. The emphasis is on the transmission of knowledge rather than elaborate proofs. The book will be valued by all practicing numerical analysts, students and researchers in the field, engineers, and scientists.


Zusammenfassung
A new paperback edition of Wilkinson's classic, pioneering text on the computation of matrix eigenvalues. One of the most important and widely-read books on numerical analysis ever published.

Inhalt
Theoretical background; Perturbation theory; Error analysis; Solution of linear algebraic equations; Hermitian matrices; Reduction of a general matrix to condensed form; Eigenvalues of matrices of condensed forms; The LR and QR algorithms; Iterative methods; Bibliography; Index.

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