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  • Generalized Inverses of Linear Transformations

    Generalized Inverses of Linear Transformations by Campbell, Stephen L.; Meyer, Carl D.;

    Series: Classics in Applied Mathematics;

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      • Publisher's listprice GBP 73.00
      • 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.

        34 875 Ft (33 215 Ft + 5% VAT)
      • Discount 10% (cc. 3 488 Ft off)
      • Discounted price 31 388 Ft (29 894 Ft + 5% VAT)

    34 875 Ft

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    Product details:

    • Publisher MP–SIA SIAM – Society for Industrial and Applied M
    • Date of Publication 30 December 2008
    • Number of Volumes Paperback

    • ISBN 9780898716719
    • Binding Paperback
    • No. of pages292 pages
    • Size 229x152x15 mm
    • Weight 408 g
    • Language English
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    Short description:

    Provides comprehensive coverage of the mathematical theory of generalized inverses and a wide range of important and practical applications.

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    Long description:

    Generalized (or pseudo-) inverse concepts routinely appear throughout applied mathematics and engineering, in both research literature and textbooks. Although the basic properties are readily available, some of the more subtle aspects and difficult details of the subject are not well documented or understood. This book is an excellent reference for researchers and students who need or want more than just the most basic elements. First published in 1979, the book remains up-to-date and readable, and it includes chapters on Markov chains and the Drazin inverse methods that have become significant to many problems in applied mathematics. Generalized Inverses of Linear Transformations provides comprehensive coverage of the mathematical theory of generalized inverses coupled with a wide range of important and practical applications that includes topics in electrical and computer engineering, control and optimization, computing and numerical analysis, statistical estimation, and stochastic processes.

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