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  • The Algebraic Eigenvalue Problem

    The Algebraic Eigenvalue Problem by Wilkinson, J. H.;

    Series: Numerical Mathematics and Scientific Computation;

      • GET 10% OFF

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      • Publisher's listprice GBP 162.50
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        73 368 Ft (69 875 Ft + 5% VAT)
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      • Discounted price 66 032 Ft (62 888 Ft + 5% VAT)

    73 368 Ft

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    Product details:

    • Publisher OUP Oxford
    • Date of Publication 21 January 1988

    • ISBN 9780198534181
    • Binding Paperback
    • No. of pages680 pages
    • Size 234x156x35 mm
    • Weight 936 g
    • Language English
    • Illustrations figures, tables
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    Short description:

    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.

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    Long description:

    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.

    '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

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    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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