Data Structures and Algorithms
by Catherine Leung
Publisher: GitBook 2017
Number of pages: 126
This book is a survey of several standard algorithms and data structures. It will also introduce the methodology used to perform a formal analysis of an algorithm so that the reason behind the different implementations can be better understood. C/C++ will be used as the language for examples.
Home page url
Download or read it online for free here:
by Granville Barnett, Luca Del Tongo - DotNetSlackers
The book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most programming languages. We assume that the reader is familiar with the object oriented concepts.
by Brad Miller, David Ranum - Franklin, Beedle & Associates
This textbook is designed as a text for a first course on data structures and algorithms, taught as the second course in the computer science curriculum. We cover abstract data types and data structures, writing algorithms, and solving problems.
by Pat Morin - AU Press
Offered as an introduction to the field of data structures and algorithms, the book covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs.
by Macneil Shonle, Matthew Wilson, Martin Krischik - Wikibooks
An accessible introduction into the design and analysis of efficient algorithms. It explains only the most basic techniques, and gives intuition for and an introduction to the rigorous mathematical methods needed to describe and analyze them.