Foundations of Algorithms 5th Edition by Richard E. Neapolitan Jones & Bartlett

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
β€œThe book shows typical signs of prior use β€” minor cover wear, light edge wear, and some sticker ...
Educational Level
Adult & Further Education
ISBN
9781284049190
Category

About this product

Product Identifiers

Publisher
Jones & Bartlett Learning, LLC
ISBN-10
1284049191
ISBN-13
9781284049190
eBay Product ID (ePID)
177596385

Product Key Features

Number of Pages
676 Pages
Language
English
Publication Name
Foundations of Algorithms
Publication Year
2014
Subject
Machine Theory, Security / Networking, Algebra / General, Logic
Features
Revised
Type
Textbook
Subject Area
Mathematics, Computers
Author
Richard Neapolitan
Format
Trade Paperback

Dimensions

Item Height
1.5 in
Item Weight
41.1 Oz
Item Length
9.3 in
Item Width
7.6 in

Additional Product Features

Edition Number
5
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
518/.1
Edition Description
Revised edition
Table Of Content
Chapter1 Algorithms: Efficiency, Analysis, and Order Chapter2 Divide-and-Conquer Chapter3 Dynamic Programming Chapter4 The Greedy Approach Chapter5 Backtracking Chapter6 Branch-and-Bound Chapter7 Introduction to Computational Complexity: The Sorting Problem Chapter8 More Computational Complexity: The Searching Problem Chapter9 Computational Complexity and Intractability: An Introduction to the Theory of NP Chapter10 Genetic Algorithms Chapter11 Number-Theoretic Algorithms Chapter12 Introduction to Parallel Algorithms
Synopsis
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 features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With fully updated exercises and examples throughout and improved instructor resources including complete solutions, an Instructor's Manual and Lecture Slides, Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. 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 Lecture Slides Intended for a one semester upper-level undergraduate or graduate course in the design and analysis of algorithms Β© 2015 676 pages, 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 features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With fully updated exercises and examples throughout and improved instructor resources including complete solutions, an Instructor's Manual and Lecture Slides, Foundations of Algorithms is an essential text for undergraduate and graduate courses in the design and analysis of algorithms. 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 Lecture Slides Intended for a one semester upper-level undergraduate or graduate course in the design and analysis of algorithms (c) 2015 676 pages, 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 features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to the traveling salesperson problem, an algorithm for an artificial ant that navigates along a trail of food, and an application to financial trading. With 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
LC Classification Number
QA9.58.N43 2015

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