Data Structures and Algorithms
by Catherine Leung
Publisher: GitBook 2017
Number of pages: 126
Description:
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.
Download or read it online for free here:
Download link
(multiple formats)
Similar books
Modern Computer Arithmeticby Richard P. Brent, Paul Zimmermann - LORIA
This book collects in the same document all state-of-the-art algorithms in multiple precision arithmetic (integers, integers modulo n, floating-point numbers). The book will be useful for graduate students in computer science and mathematics.
(10414 views)
Data Structures and Algorithms: Annotated Reference with Examplesby 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.
(13473 views)
Algorithms for Clustering Databy Anil K. Jain, Richard C. Dubes - Prentice Hall
The book is useful for scientists who gather data and seek tools for analyzing and interpreting data. It will be a reference for scientists in a variety of disciplines and can serve as a textbook for a graduate course in exploratory data analysis.
(14755 views)
Vector Models for Data-Parallel Computingby Guy Blelloch - The MIT Press
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model.
(7787 views)