Details

Subject(s)

• Algorithms [Browse]
• Computer algorithms [Browse]
• Computer science—Mathematics [Browse]

Publisher

• Society for Industrial and Applied Mathematics [Browse]

Series

Other titles in applied mathematics. [More in this series]

Restrictions note

Restricted to subscribers or individual electronic text purchasers.

Summary note

Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics. This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks. Algorithms from THE BOOK incorporates Julia code for easy experimentation, is written in clear, concise prose consistent with mathematical rigor, includes a large number of classroom-tested exercises at the end of each chapter, and covers background material, often omitted from undergraduate courses, in the appendices. This textbook is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.

Bibliographic references

Includes bibliographical references (pages 203-208) and index.

System details

• Mode of access: World Wide Web.
• System requirements: Adobe Acrobat Reader.

Source of description

Description based on title page of print version.

Contents

• Ancient algorithms
• Sorting
• Graph algorithms
• Primality testing
• Solution of linear equations
• Newton's method
• Linear programming
• Eigenvalues and eigenvectors
• MM algorithms
• Data mining
• The fast Fourier transform
• Monte Carlo methods
• Mathematical review.

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Other format(s)

Also available in print version.

ISBN

1-61197-617-0

Publisher no.

OT168

LCCN

2019059041

OCLC

1138997661

Doi

• 10.1137/1.9781611976175

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