Practical analysis of algorithms

Resource Information

The work Practical analysis of algorithms represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Practical analysis of algorithms

Statement of responsibility

Dana Vrajitoru, William Knight

Creator

• Vrajitoru, Dana

Contributor

• Knight, William, 1939-

Author

• Knight, William, 1939-
• Vrajitoru, Dana

Subject

• Computer algorithms
• Computer algorithms
• Computer algorithms

Language

eng

Summary

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

Member of

• Undergraduate topics in computer science,
• Undergraduate topics in computer science

Cataloging source

GW5XE

Dewey number

005.1

Illustrations

illustrations

Index

index present

Language note

English

LC call number

QA76.9.A43

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

Series statement

Undergraduate Topics in Computer Science,