Methods in Algorithmic Analysis
eBook - ePub

Methods in Algorithmic Analysis

  1. 824 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Methods in Algorithmic Analysis

About this book

Explores the Impact of the Analysis of Algorithms on Many Areas within and beyond Computer Science
A flexible, interactive teaching format enhanced by a large selection of examples and exercises

Developed from the author's own graduate-level course, Methods in Algorithmic Analysis presents numerous theories, techniques, and methods used for analyzing algorithms. It exposes students to mathematical techniques and methods that are practical and relevant to theoretical aspects of computer science.

After introducing basic mathematical and combinatorial methods, the text focuses on various aspects of probability, including finite sets, random variables, distributions, Bayes' theorem, and Chebyshev inequality. It explores the role of recurrences in computer science, numerical analysis, engineering, and discrete mathematics applications. The author then describes the powerful tool of generating functions, which is demonstrated in enumeration problems, such as probabilistic algorithms, compositions and partitions of integers, and shuffling. He also discusses the symbolic method, the principle of inclusion and exclusion, and its applications. The book goes on to show how strings can be manipulated and counted, how the finite state machine and Markov chains can help solve probabilistic and combinatorial problems, how to derive asymptotic results, and how convergence and singularities play leading roles in deducing asymptotic information from generating functions. The final chapter presents the definitions and properties of the mathematical infrastructure needed to accommodate generating functions.

Accompanied by more than 1,000 examples and exercises, this comprehensive, classroom-tested text develops students' understanding of the mathematical methodology behind the analysis of algorithms. It emphasizes the important relation between continuous (classical) mathematics and discrete mathematics, which is the basis of computer science.

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Yes, you can access Methods in Algorithmic Analysis by Vladimir A. Dobrushkin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Halftitle Page
  3. CHAPMAN & HALL/CRC COMPUTER and INFORMATION SCIENCE SERIES
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Acknowledgments
  9. List of Symbols
  10. Abbreviations
  11. Dedication Page
  12. 1 Preliminaries
  13. 2 Combinatorics
  14. 3 Probability
  15. 4 More about Probability
  16. 5 Recurrences or Difference Equations
  17. 6 Introduction to Generating Functions
  18. 7 Enumeration with Generating Functions
  19. 8 Further Enumeration Methods
  20. 9 Combinatorics of Strings
  21. 10 Introduction to Asymptotics
  22. 11 Asymptotics and Generating Functions
  23. Appendices
  24. Answers/Hints to Selected Problems
  25. Bibliography
  26. Index