Foundations of Algorithms

ISBN-10: 1284049191
ISBN-13: 9781284049190
Edition: 5th 2015
List price: $181.95 Buy it from $63.11 Rent it from $17.78
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Description: Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and  More...

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Book details

List price: $181.95
Edition: 5th
Copyright year: 2015
Publisher: Jones & Bartlett Learning, LLC
Publication date: 3/5/2014
Binding: Paperback
Pages: 676
Size: 7.25" wide x 9.00" long x 1.50" tall
Weight: 2.882
Language: English

Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational complexity. Ideal for any computer science students with a background in college algebra and discrete structures, the text presents mathematical concepts using standard English and simple notation to maximize accessibility and user-friendliness. Concrete examples, appendices reviewing essential mathematical concepts, and a student-focused approach reinforce theoretical explanations and promote learning and retention. C++ and Java pseudocode help students better understand complex algorithms. A chapter on numerical algorithms includes a review of basic number theory, Euclid's Algorithm for finding the greatest common divisor, a review of modular arithmetic, an algorithm for solving modular linear equations, an algorithm for computing modular powers, and the new polynomial-time algorithm for determining whether a number is prime.The revised and updated Fifth Edition includes an all-new chapter on genetic algorithms, fully updated exercises and examples throughout, and improved instructor resources including complete solutions, an Instructor's Manual and PowerPoint lecture outlines. Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. Key features include:* The only text of its kind with a chapter on genetic algorithms* Use of C++ and Java pseudocode to help students better understand complex algorithms* No calculus background required* Numerous clear and student-friendly examples throughout the text* Fully updated exercises and examples throughout* Improved instructor resources, including complete solutions, an Instructor's Manual, and PowerPoint lecture outlines

Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently, he wrote the 2004 text Learning Bayesian Networks, the textbook Foundations of Algorithms, which has been translated to three languages and is one of the most widely-used algorithms texts world-wide, and the 2007 text Probabilistic Methods for Financial and Marketing Informatics (Morgan Kaufmann Publishers).

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