Randomized Algorithms
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Randomized Algorithms
Author: Rajeev Motwani
language: en
Publisher: Cambridge University Press
Release Date: 1995-08-25
For many applications a randomized algorithm is either the simplest algorithm available, or the fastest, or both. This tutorial presents the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and probabilistic analysis that are recurrent in algorithmic applications. Algorithmic examples are given to illustrate the use of each tool in a concrete setting. In the second part of the book, each of the seven chapters focuses on one important area of application of randomized algorithms: data structures; geometric algorithms; graph algorithms; number theory; enumeration; parallel algorithms; and on-line algorithms. A comprehensive and representative selection of the algorithms in these areas is also given. This book should prove invaluable as a reference for researchers and professional programmers, as well as for students.
Design and Analysis of Randomized Algorithms
Author: J. Hromkovic
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-10-11
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization
Randomized Algorithms
Author: Rajeev Motwani
language: en
Publisher: Cambridge University Press
Release Date: 1995-08-25
This book presents basic tools from probability theory used in algorithmic applications, with concrete examples.