Data Structures and Their Implementation - Info and Reading Options
By Robert J. Baron


"Data Structures and Their Implementation" was published by Van Nostrand Reinhold Co. in 1980 - New York, the book is classified in Computers genre, it has 469 pages and the language of the book is English.
“Data Structures and Their Implementation” Metadata:
- Title: ➤ Data Structures and Their Implementation
- Author: Robert J. Baron
- Language: English
- Number of Pages: 469
- Is Family Friendly: Yes - No Mature Content
- Publisher: Van Nostrand Reinhold Co.
- Publish Date: 1980
- Publish Location: New York
- Genres: Computers
“Data Structures and Their Implementation” Subjects and Themes:
- Subjects: ➤ Data structures (Computer science) - Implementation - Datenstruktur - Computers
Edition Specifications:
- Pagination: x, 469 p. :
Edition Identifiers:
- Google Books ID: SOhQAAAAMAAJ
- The Open Library ID: OL4414802M - OL4092830W
- Online Computer Library Center (OCLC) ID: 5196741
- Library of Congress Control Number (LCCN): 79018643
- ISBN-10: 0442205864
- All ISBNs: 0442205864
AI-generated Review of “Data Structures and Their Implementation”:
Snippets and Summary:
Preliminaries. Linear structures; string processing; trees and graphs; arrays, matrices, and tables; dynamic memory management using sequential allocation and compaction; dynamic memory management using lists of available space; recursion; ...
"Data Structures and Their Implementation" Description:
The Open Library:
Data structures are used in all areas of computer science. The purpose of this book is to introduce the computer science student to the most commonly used data structures and their implementation. Algorithms are presented for operations on all major data structures, and examples show how use of data structures in various areas of computer science. Particular emphasis is placed on memory management, and organized around implementation techniques. Examples of standard, efficient, or novel implementations will be more helpful to the student than techniques or algorithms without measuring programming details. The exercises and projects are the most important elements. The importance of actually coding as many of the structures as time permits cannot be overemphasized; running programs is the one sure way to master the concepts and techniques presented in the text.
Google Books:
Preliminaries. Linear structures; string processing; trees and graphs; arrays, matrices, and tables; dynamic memory management using sequential allocation and compaction; dynamic memory management using lists of available space; recursion; some systems that use interesting data structures.
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