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Dynamics of Number Systems [electronic resource] : Computation with Arbitrary Precision / by Petr Kurka.

By: Kurka, Petr [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Systems, Decision and Control: 59Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XI, 224 p. 74 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319333670.Subject(s): Engineering | Computer mathematics | Applied mathematics | Engineering mathematics | Engineering | Appl.Mathematics/Computational Methods of Engineering | Computational Science and EngineeringAdditional physical formats: Printed edition:: No titleDDC classification: 519 Online resources: Click here to access online
Contents:
Introduction -- Symbolic Dynamics -- Matrices and Transformations -- Mobius Number Systems -- Arithmetical Algorithms -- Integer Vectors and Matrices -- Algebraic Number Fields -- Transcendent Algorithms.
In: Springer eBooksSummary: This book is a source of valuable and useful information on the topics of dynamics of number systems and scientific computation with arbitrary precision. It is addressed to scholars, scientists and engineers, and graduate students. The treatment is elementary and self-contained with relevance both for theory and applications. The basic prerequisite of the book is linear algebra and matrix calculus. .
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Introduction -- Symbolic Dynamics -- Matrices and Transformations -- Mobius Number Systems -- Arithmetical Algorithms -- Integer Vectors and Matrices -- Algebraic Number Fields -- Transcendent Algorithms.

This book is a source of valuable and useful information on the topics of dynamics of number systems and scientific computation with arbitrary precision. It is addressed to scholars, scientists and engineers, and graduate students. The treatment is elementary and self-contained with relevance both for theory and applications. The basic prerequisite of the book is linear algebra and matrix calculus. .

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