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    Linear Algebra: Algorithms, Applications, and Techniques

    Linear Algebra by Bronson, Richard; Costa, Gabriel B.;

    Algorithms, Applications, and Techniques

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      • Publisher's listprice EUR 55.95
      • 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.

        21 854 Ft (20 813 Ft + 5% VAT)
      • Discount 10% (cc. 2 185 Ft off)
      • Discounted price 19 668 Ft (18 732 Ft + 5% VAT)

    21 854 Ft

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    Out of print

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 2
    • Publisher Elsevier Science
    • Date of Publication 16 April 2007

    • ISBN 9780120887842
    • Binding Paperback
    • No. of pages520 pages
    • Size 234x190 mm
    • Weight 880 g
    • Language English
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    Long description:

    In this appealing and well-written text, Richard Bronson gives readers a substructure for a firm understanding of the abstract concepts of linear algebra and its applications. The author starts with the concrete and computational, and leads the reader to a choice of major applications (Markov chains, least-squares approximation, and solution of differential equations using Jordan normal form). The first three chapters address the basics: matrices, vector spaces, and linear transformations. The next three cover eigenvalues, Euclidean inner products, and Jordan canonical forms, offering possibilities that can be tailored to the instructor's taste and to the length of the course. Bronson's approach to computation is modern and algorithmic, and his theory is clean and straightforward. Throughout, the views of the theory presented are broad and balanced. Key material is highlighted in the text and summarized at the end of each chapter. The book also includes ample exercises with answers and hints. With its inclusion of all the needed features, this text will be a pleasure for professionals, teachers, and students.

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    Table of Contents:

    Preface
    1. Matrices
    2. Vector Spaces
    3. Linear Transformations
    4. Eigenvalues, Eigenvectors, and Differential Equations
    5. Euclidean Inner Product
    APPENDIX A: Determinants
    APPENDIX B: Jordan Canonical Forms
    APPENDIX C: Markov Chains
    APPENDIX D: The Simplex Method, An Example
    APPENDIX E: A Word On Numerical Techniques and Technology, Answers and Hints toSelected Problems
    INDEX

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