Design and Analysis of Randomized Algorithms

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Release : 2005-10-11
Genre : Computers
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Book Rating : 032/5 ( reviews)

Design and Analysis of Randomized Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Analysis of Randomized Algorithms write by J. Hromkovic. This book was released on 2005-10-11. Design and Analysis of Randomized Algorithms available in PDF, EPUB and Kindle. Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization

Design and Analysis of Randomized Algorithms

Download Design and Analysis of Randomized Algorithms PDF Online Free

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Release : 2005-06-14
Genre : Computers
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Book Rating : 499/5 ( reviews)

Design and Analysis of Randomized Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Analysis of Randomized Algorithms write by J. Hromkovic. This book was released on 2005-06-14. Design and Analysis of Randomized Algorithms available in PDF, EPUB and Kindle. Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization

Randomized Algorithms

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Release : 1995-08-25
Genre : Computers
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Book Rating : 134/5 ( reviews)

Randomized Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomized Algorithms write by Rajeev Motwani. This book was released on 1995-08-25. Randomized Algorithms available in PDF, EPUB and Kindle. 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

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Release : 2009-09-02
Genre : Computers
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Book Rating : 427/5 ( reviews)

Design and Analysis of Randomized Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Analysis of Randomized Algorithms write by J. Hromkovic. This book was released on 2009-09-02. Design and Analysis of Randomized Algorithms available in PDF, EPUB and Kindle. Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization

Randomized Algorithms for Analysis and Control of Uncertain Systems

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Release : 2012-10-21
Genre : Technology & Engineering
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Book Rating : 107/5 ( reviews)

Randomized Algorithms for Analysis and Control of Uncertain Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Randomized Algorithms for Analysis and Control of Uncertain Systems write by Roberto Tempo. This book was released on 2012-10-21. Randomized Algorithms for Analysis and Control of Uncertain Systems available in PDF, EPUB and Kindle. The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. The approach propounded by this text guarantees a reduction in the computational complexity of classical control algorithms and in the conservativeness of standard robust control techniques. The second edition has been thoroughly updated to reflect recent research and new applications with chapters on statistical learning theory, sequential methods for control and the scenario approach being completely rewritten. Features: · self-contained treatment explaining Monte Carlo and Las Vegas randomized algorithms from their genesis in the principles of probability theory to their use for system analysis; · development of a novel paradigm for (convex and nonconvex) controller synthesis in the presence of uncertainty and in the context of randomized algorithms; · comprehensive treatment of multivariate sample generation techniques, including consideration of the difficulties involved in obtaining identically and independently distributed samples; · applications of randomized algorithms in various endeavours, such as PageRank computation for the Google Web search engine, unmanned aerial vehicle design (both new in the second edition), congestion control of high-speed communications networks and stability of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems (second edition) is certain to interest academic researchers and graduate control students working in probabilistic, robust or optimal control methods and control engineers dealing with system uncertainties. The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years. M. Vidyasagar