Logo

Open Data Structures: An Introduction

Large book cover: Open Data Structures: An Introduction

Open Data Structures: An Introduction
by

Publisher: AU Press
ISBN/ASIN: 1927356385
ISBN-13: 9781927356388
Number of pages: 336

Description:
Offered as an introduction to the field of data structures and algorithms, Open Data Structures covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs. Focusing on a mathematically rigorous approach that is fast, practical, and efficient, Morin clearly and briskly presents instruction along with source code.

Home page url

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

Download mirrors:
Mirror 1

Similar books

Book cover: Average Case Analysis of Algorithms on SequencesAverage Case Analysis of Algorithms on Sequences
by - Wiley-Interscience
A book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms.
(7234 views)
Book cover: Lecture Notes on Bucket AlgorithmsLecture Notes on Bucket Algorithms
by - Birkhauser
In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the distribution of the data. The results are illustrated on standard searching, sorting and selection problems.
(6746 views)
Book cover: Computational Geometry: Methods and ApplicationsComputational Geometry: Methods and Applications
by
The author concentrates on four themes in computational geometry: the construction of convex hulls, proximity problems, searching problems and intersection problems. Solving manufacturing problems requires application of fast-algorithm techniques.
(10831 views)
Book cover: Notes on Data Structures and Programming TechniquesNotes on Data Structures and Programming Techniques
by - Yale University
Topics include programming in C; data structures (arrays, stacks, queues, lists, trees, heaps, graphs); sorting and searching; storage allocation and management; data abstraction; programming style; testing and debugging; writing efficient programs.
(1943 views)