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Thursday, November 19, 2020 | History

1 edition of An introduction to the analysis of algorithms found in the catalog.

An introduction to the analysis of algorithms

Michael Soltys

An introduction to the analysis of algorithms

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  • 10 Currently reading

Published by World Scientific in Singapore, Hackensack, NJ, London .
Written in English

    Subjects:
  • Textbooks,
  • Algorithms

  • Edition Notes

    Includes bibliographical references (p. 129-130) and index.

    StatementMichael Soltys
    Classifications
    LC ClassificationsQA9.58 .S63 2010
    The Physical Object
    Paginationxiii, 135 p. :
    Number of Pages135
    ID Numbers
    Open LibraryOL24792159M
    ISBN 109814271403
    ISBN 109789814271400
    LC Control Number2010278418
    OCLC/WorldCa298782392


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An introduction to the analysis of algorithms by Michael Soltys Download PDF EPUB FB2

An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field. Robert Sedgewick and the late Philippe Flajolet have drawn from both classical mathematics and computer science, integrating discrete mathematics, elementary real analysis Cited by: Introduction to Algorithms, the 'bible' of the field, is a comprehensive textbook covering the full spectrum of modern algorithms: from the fastest algorithms and data structures to polynomial-time algorithms for seemingly intractable problems, from classical algorithms in graph theory to special algorithms for string matching, computational geometry, and number by: Contents Preface xiii I Foundations Introduction 3 1 The Role of Algorithms in Computing 5 Algorithms 5 Algorithms as a technology 11 2 Getting Started 16 Insertion sort 16 Analyzing algorithms 23 Designing algorithms 29 3 Growth of Functions 43 Asymptotic notation 43 Standard notations and common functions 53 4 Divide-and-Conquer 65.

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The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. This book provides a thorough introduction to the primary techniques used in the mathematical analysis of algorithms.

The authors draw from classical mathematical material, including discrete mathematics, elementary real analysis, and combinatorics, as well as from classical computer science material, including algorithms and data structures.

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The initial chapter contains a detailed introduction to proofs of correctness, based on pre and post-conditions, and loop invariants, as well as a section on Ranking Algorithms, including the Stable Marriage, Page Rank, and Pairwise Comparisons algorithms.

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