Logo

Algorithms and Data Structures: The Basic Toolbox

Large book cover: Algorithms and Data Structures: The Basic Toolbox

Algorithms and Data Structures: The Basic Toolbox
by

Publisher: Springer
ISBN/ASIN: 3642096824
ISBN-13: 9783642096822
Number of pages: 300

Description:
This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: Algorithms for Modular Elliptic CurvesAlgorithms for Modular Elliptic Curves
by - Cambridge University Press
The author describes the construction of modular elliptic curves giving an algorithm for their computation. Then algorithms for the arithmetic of elliptic curves are presented. Finally, the results of the implementations of the algorithms are given.
(17888 views)
Book cover: Data Structures and AlgorithmsData Structures and Algorithms
by
The text focuses on data structures and algorithms for manipulating them. Data structures for storing information in tables, lists, trees, queues and stacks are covered. Some basic graph and discrete transform algorithms are also discussed.
(15233 views)
Book cover: LEDA: A Platform for Combinatorial and Geometric ComputingLEDA: A Platform for Combinatorial and Geometric Computing
by - Cambridge University Press
The book treats the architecture, the implementation, and the use of the LEDA system. LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing, written in C++ and freely available worldwide.
(9936 views)
Book cover: Algorithms for Clustering DataAlgorithms for Clustering Data
by - 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.
(20774 views)