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 Wolfgang Merkle - ESSLLI
The first part of the course gives an introduction to randomized algorithms and to standard techniques for their derandomization. The second part presents applications of the probabilistic method to the construction of logical models.
by Herbert Edelsbrunner - Duke University
The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.
by K. Raghava Rao - Smashwords
This book provides a complete information to the modern study of computer algorithms. It presents many concepts in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by suitable examples.
by Wojciech Szpankowski - 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.