1# Library to Find Best eBook for Read
Author :
Release : 2007
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis A Fast Randomized Algorithm for the Approximation of Matrices by :
Download or read book A Fast Randomized Algorithm for the Approximation of Matrices written by . This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Per-Gunnar Martinsson
Release : 2006
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis A Randomized Algorithm for the Approximation of Matrices by : Per-Gunnar Martinsson
Download or read book A Randomized Algorithm for the Approximation of Matrices written by Per-Gunnar Martinsson. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael W. Mahoney
Release : 2011
Genre : Computers
Kind : eBook
Book Rating : 064/5 ( reviews)
Book Synopsis Randomized Algorithms for Matrices and Data by : Michael W. Mahoney
Download or read book Randomized Algorithms for Matrices and Data written by Michael W. Mahoney. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt: Randomized Algorithms for Matrices and Data provides a detailed overview, appropriate for both students and researchers from all of these areas, of recent work on the theory of randomized matrix algorithms as well as the application of those ideas to the solution of practical problems in large-scale data analysis
Author : Martin Fürer
Release : 2004
Genre : Approximation theory
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis An Almost Linear Time Approximation Algorithm for the Permanent of a Random (0-1) Matrix by : Martin Fürer
Download or read book An Almost Linear Time Approximation Algorithm for the Permanent of a Random (0-1) Matrix written by Martin Fürer. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We present a simple randomized algorithm for approximating permanents of random (0-1) matrices. The algorithm with inputs a, [epsilon]> 0 produces an output X[subscript A] with (1-[epsilon])per(A) [or =] X[subscript A] [or =] (1 + [epsilon])per(A) for almost all (0-1) matrices A. For every positive constant [epsilon] 0, the algorithm runs in time O(n2[omega]), i.e., almost linear in the size of the matrix, where [omega] = [omega](n) is any function satisfying [omega](n) - [infinity] as n -> [infinity]. This improves the previous bound of O(n3[infinity]) for such matrices."
Author : Rajeev Motwani
Release : 1995-08-25
Genre : Computers
Kind : eBook
Book Rating : 134/5 ( reviews)
Book Synopsis Randomized Algorithms by : Rajeev Motwani
Download or read book Randomized Algorithms written by Rajeev Motwani. This book was released on 1995-08-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.
