2014 | Computer Science | Book
Practical Analysis of Algorithms
Authors: Dana Vrajitoru, William Knight
Publisher: Springer International Publishing
Print ISBN: 978-3-319-09887-6
Electronic ISBN: 978-3-319-09888-3
2014 | Computer Science | Book
Authors: Dana Vrajitoru, William Knight
Publisher: Springer International Publishing
Print ISBN: 978-3-319-09887-6
Electronic ISBN: 978-3-319-09888-3
This book 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. 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; 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.
Version: 20190916111658_0.188.0_088266d