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Practical Analysis of Algorithms

  • Dana Vrajitoru
  • William Knight

Part of the Undergraduate Topics in Computer Science book series (UTICS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Dana Vrajitoru, William Knight
    Pages 1-7
  3. Dana Vrajitoru, William Knight
    Pages 9-62
  4. Dana Vrajitoru, William Knight
    Pages 63-94
  5. Dana Vrajitoru, William Knight
    Pages 95-167
  6. Dana Vrajitoru, William Knight
    Pages 169-293
  7. Dana Vrajitoru, William Knight
    Pages 295-360
  8. Dana Vrajitoru, William Knight
    Pages 361-452
  9. Dana Vrajitoru, William Knight
    Pages 453-462
  10. Back Matter
    Pages 463-466

About this book

Introduction

Analysis of algorithms plays an essential role in the education and training of any serious programmer preparing to deal with real world applications.

Practical Analysis of Algorithms introduces the essential concepts of algorithm analysis required by core undergraduate and graduate computer science courses, in addition to providing a review of the fundamental mathematical notions necessary to understand these concepts. Throughout the text, the explanations are aimed at the level of understanding of a typical upper-level student, and are accompanied by detailed examples and classroom-tested exercises.

Topics and features:

  • Includes numerous fully-worked examples and step-by-step proofs, assuming no strong mathematical background
  • Describes the foundation of the analysis of algorithms theory in terms of the big-Oh, Omega, and Theta notations
  • Examines recurrence relations, a very important tool used in the analysis of algorithms
  • Discusses the concepts of basic operation, traditional loop counting, and best case and worst case complexities
  • Reviews various algorithms of a probabilistic nature, and uses elements of probability theory to compute the average complexity of algorithms such as Quicksort
  • Introduces a variety of classical finite graph algorithms, together with an analysis of their complexity
  • Provides an appendix on probability theory, reviewing the major definitions and theorems used in
the book

This clearly-structured and easy-to-read textbook/reference applies a unique, practical approach suitable for professional short courses and tutorials, as well as for students of computer science.

Dr. Dana Vrajitoru is an Associate Professor of Computer Science at Indiana University South Bend, IN, USA. Dr. William Knight is an Emeritus Associate Professor at the same institution.

Keywords

Algorithms Analysis Fundamental Notation Probabilistic Algorithms Recurrence Relations

Authors and affiliations

  • Dana Vrajitoru
    • 1
  • William Knight
    • 2
  1. 1.Indiana UniversitySouth BendUSA
  2. 2.Indiana UniversitySouth BendUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09888-3
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09887-6
  • Online ISBN 978-3-319-09888-3
  • Series Print ISSN 1863-7310
  • Series Online ISSN 2197-1781
  • Buy this book on publisher's site
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