Analysis and Design of Algorithms

Arora, Amrinder

ISBN 10: 1793520437 / ISBN 13: 9781793520432

Verlag: Cognella Academic Publishing (edition ), 2021

Beschreibung

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Bestandsnummer des Verkäufers 1793520437-11-1

Bibliografische Details

• Titel: Analysis and Design of Algorithms
• Verlag: Cognella Academic Publishing (edition )
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 1793520437
• ISBN-13: 9781793520432
• Einband: Paperback
• Zustand: Good

Über diesen Titel

Inhaltsangabe

Analysis and Design of Algorithms provides a structured view of algorithm design techniques in a concise, easy-to-read manner. The book was written with an express purpose of being easy - to understand, read, and carry.

It presents a pioneering approach in the teaching of algorithms, based on learning algorithm design techniques, and not merely solving a collection of problems. This allows students to master one design technique at a time and apply it to a rich variety of problems.

Analysis and Design of Algorithms covers the algorithmic design techniques of divide and conquer, greedy, dynamic programming, branch and bound, and graph traversal. For each of these techniques, there are templates and guidelines on when to use and not to use each technique. Many sections contain innovative mnemonics to aid the readers in remembering the templates and key takeaways. Additionally, the book covers NP-completeness and the inherent hardness of problems. The third edition includes a new section on polynomial multiplication, as well as additional exercise problems, and an updated appendix.

Written with input from students and professionals, Analysis and Design of Algorithms is well suited for introductory algorithm courses at the undergraduate and graduate levels. The structured organization of the text makes it especially appropriate for online and distance learning.

Über die Autorin bzw. den Autor

Dr. Amrinder Arora is a faculty member in the Department of Computer Science at The George Washington University, where he received his masters and doctorate in computer science. Dr. Arora has held numerous executive positions at technology companies and has presented his research work at conferences throughout the United States, as well as internationally. He is a leading industry expert in data analytics and is the co-founder and CEO of software firm BizMerlin.