Description

Book Synopsis

This is a new paperback edition of probably the most important and widely read text on numerical analysis. It is the distillation of what the author learnt about the computation of matrix eigenvalues by dint of trying all methods known to him on computers he helped to make.He was establishing the special nature of these computations as he wrote, and this, along with his emphasis on understanding rather than proving theorems, resulted in an informal and very readable work which became an almost instant classic.

Trade Review

'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

Table of Contents

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.

The Algebraic Eigenvalue Problem Nmsc

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    A Paperback by J. H. Wilkinson

    £999.99

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      Book details

      Publisher Clarendon Press
      Published 21 January 1988
      ISBN-13 9780198534181
      978-0198534181
      ISBN-10 0198534183
      Also in:
      Algebra

      Description

      Book Synopsis

      This is a new paperback edition of probably the most important and widely read text on numerical analysis. It is the distillation of what the author learnt about the computation of matrix eigenvalues by dint of trying all methods known to him on computers he helped to make.He was establishing the special nature of these computations as he wrote, and this, along with his emphasis on understanding rather than proving theorems, resulted in an informal and very readable work which became an almost instant classic.

      Trade Review

      '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

      Table of Contents

      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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