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Algorithms (4th Edition) SEE DESCRIPTION
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Located in: Colorado Springs, Colorado, United States
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eBay item number:256490685465
Item specifics
- Condition
- Release Year
- 2011
- Book Title
- Algorithms (4th Edition)
- ISBN
- 9780321573513
- Publication Year
- 2011
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Algorithms
- Item Height
- 1.6in
- Item Length
- 9.2in
- Publisher
- Addison Wesley Professional
- Item Width
- 7.6in
- Item Weight
- 56 Oz
- Number of Pages
- 976 Pages
About this product
Product Information
This fourth edition of Robert Sedgewick and Kevin Wayne's Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu, contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Product Identifiers
Publisher
Addison Wesley Professional
ISBN-10
032157351x
ISBN-13
9780321573513
eBay Product ID (ePID)
15038301573
Product Key Features
Publication Name
Algorithms
Format
Hardcover
Language
English
Publication Year
2011
Type
Textbook
Number of Pages
976 Pages
Dimensions
Item Length
9.2in
Item Height
1.6in
Item Width
7.6in
Item Weight
56 Oz
Additional Product Features
Lc Classification Number
Qa76.9.A43
Edition Number
4
Table of Content
Chapter 1: Fundamentals 1.1 Programming Model 1.2 Data Abstraction 1.3 Queues, Stacks, and Bags 1.4 Analysis of Algorithms 1.5 Case Study: Union-Find Chapter 2: Sorting 2.1 Elementary Sorts 2.1 Elementary Sorts 2.2 Mergesort 2.3 Quicksort 2.4 Priority Queues 2.5 Applications Chapter 3: Searching 3.1 Symbol Tables 3.1 Symbol Tables 3.2 Binary Search Trees 3.3 Balanced Search Trees 3.4 Hash Tables 3.5 Applications Chapter 4: Graphs 4.1 Undirected graphs 4.1 Undirected graphs 4.2 Directed graphs 4.3 Minimum Spanning Trees 4.4 Shortest Paths Chapter 5: Strings 5.1 String Sorts 5.1 String Sorts 5.2 Tries 5.3 Substring Search 5.4 Regular Expressions 5.5 Data Compression Context Systems Programming Systems Programming Scientific Computing Commercial Applications Operations Research Intractability Index
Copyright Date
2011
Topic
Programming / Algorithms, Algebra / General, Software Development & Engineering / Systems Analysis & Design
Lccn
2011-000707
Dewey Decimal
005.1
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Mathematics
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eBay item number:256490685465
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Important for Computer Science students
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