Data structures and the Java collections framework - Info and Reading Options
By Collins, William J.
"Data structures and the Java collections framework" was published by Wiley in 2011 - Hoboken, NJ, it has 736 pages and the language of the book is English.
“Data structures and the Java collections framework” Metadata:
- Title: ➤ Data structures and the Java collections framework
- Author: Collins, William J.
- Language: English
- Number of Pages: 736
- Publisher: Wiley
- Publish Date: 2011
- Publish Location: Hoboken, NJ
“Data structures and the Java collections framework” Subjects and Themes:
- Subjects: ➤ Java (Computer program language) - COMPUTERS / Programming Languages / Java - Data structures (Computer science) - Java (computer program language) - Data structures (computer science)
Edition Specifications:
- Pagination: xxii, 736 p. :
Edition Identifiers:
- The Open Library ID: OL24903204M - OL15999024W
- Online Computer Library Center (OCLC) ID: 671573387
- Library of Congress Control Number (LCCN): 2010043311
- ISBN-13: 9780470482674
- All ISBNs: 9780470482674
AI-generated Review of “Data structures and the Java collections framework”:
"Data structures and the Java collections framework" Table Of Contents:
- 1- Introduction to Java
- 2- Object-oriented concepts
- 3- Additional features of programming ad Java
- 4- Analysis of algorithms
- 5- The Java collections framework
- 6- Recursion
- 7- Array-based lists
- 8- Linked lists
- 9- Stacks and queues
- 10- Binary trees
- 11- Binary search trees
- 12- Sorting
- 13- Tree maps and tree sets
- 14- Priority queues
- 15- Hashing
- 16- Graphs, trees and networks
- 17- Additional features of the Java collections framework
- 18- Mathematical background
- 19- Choosing a data structure.
"Data structures and the Java collections framework" Description:
The Open Library:
"Instead of emphasizing the underlying mathematics to get programmers to build their own data structures, Collins enables them to manipulate existing structures in the Java Collections Library. This allows them to learn through coding rather than by doing proofs. 23 lab projects and hundreds of programming examples are integrated throughout the pages to build their intuition. The approach this book takes helps programmers quickly learn the concepts that underlie data structures."--
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