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Data structures and algorithms in JavaTM / Michael T. Goodrich

By: Contributor(s): Material type: TextTextPublication details: Hoboken, New Jersey : Wiley, c2014Edition: Sixth editionDescription: v, 720 pages: illustrations ; 23 cmISBN:
  • 9781118771334
Subject(s): LOC classification:
  • QA 76.73.J38 .G66 2014
Contents:
1 Java Primer 2 Object-Oriented Design 3 Fundamental Data Structures 4 Algorithm Analysis 5 Recursion 6 Stacks, Queues, and Deques 7 List and Iterator ADTs 8 Trees 9 Priority Queues 10 Maps, Hash Tables, and Skip Lists 11 Search Trees 12 Text Processing 13 Sorting and Selection 14 Graph Algorithms 15 Memory Management and B-Trees
Summary: The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Gen. Ed. - CCIT GC QA 76.73.J38 .G66 2014 c.1 (Browse shelf(Opens below)) c.1 Available NULIB000009647
Browsing LRC - Main shelves, Shelving location: General Circulation, Collection: Gen. Ed. - CCIT Close shelf browser (Hides shelf browser)
GC QA 76.73.J38 .D45 2012 Java : how to program / GC QA 76.73.J38 .F37 1999 Java programming with microsoft visual J++ 6.0: Introductory / GC QA 76.73.J38 .F37 2016 Java programming / GC QA 76.73.J38 .G66 2014 c.1 Data structures and algorithms in JavaTM / GC QA 76.73.J38 .H8 2019 Easy learning data structures algorithms java practice / GC QA 76.73.J38 .H67 2013 vol.1 Core Java volume 1 -- Fundamentals / GC QA 76.73.J38 .H67 2019 Core Java : volume II-advanced features /

Includes bibliographical references and index.

1 Java Primer 2 Object-Oriented Design 3 Fundamental Data Structures 4 Algorithm Analysis 5 Recursion 6 Stacks, Queues, and Deques 7 List and Iterator ADTs 8 Trees 9 Priority Queues 10 Maps, Hash Tables, and Skip Lists 11 Search Trees 12 Text Processing 13 Sorting and Selection 14 Graph Algorithms 15 Memory Management and B-Trees

The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures.

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