Practical Analysis of Algorithms PDF
by Dana Vrajitoru, William Knight
Part of the Undergraduate Topics in Computer Science series
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Description
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.
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- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:03/09/2014
- Category:
- ISBN:9783319098883
Information
-
Download Now
- Format:PDF
- Publisher:Springer International Publishing
- Publication Date:03/09/2014
- Category:
- ISBN:9783319098883