CITATION

Keogh, James and Davidson, Ken. Data Structures Demystified. McGraw-Hill Osborne Media, 2004.

Data Structures Demystified

Published:  February 2004

eISBN: 9780071469944 007146994X | ISBN: 9780072253597

Book description:

Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this “algebra of programming.”

The fast and easy way to understanding the fundamentals of data structures

If you’ve been searching for that quick, easy-to-understand guide to walk you through data structures, look no further. Data Structures Demystified is all these things and more. Whether you’re trying to program stacks and linked lists or figure out hashtables, here you’ll find step-by-step instruction to get the job done fast.

No longer will you have to wade through thick, dry academic tomes, heavy on technical language and information you don’t need. In Data Structures Demystified, each chapter starts off with an example from everyday life to demonstrate upcoming concepts, making this a totally accessible read. The authors goes a step further and offer examples at the end of the chapter illustrating what you’ve just learned in Java and C++.

Simple enough for a beginner, but challenging enough for an advanced student, Data Structures Demystified is your shortcut to mastering data structures.

This one-of-a-kind self-teaching text offers:

  • An easy way to understand data structures

  • A quiz at the end of each chapter

  • A final exam at the end of the book

  • No unnecessary technical jargon

  • A time-saving approach

JIM KEOGH (Ridgefield Park, NJ) is a Columbia University Faculty member and teaches Object-oriented programming along with other computer science courses.

KEN DAVIDSON (Yorktown Heights, NY) is a Columbia University faculty member who teaches Data Structures along with other computer science courses.