Design And Analysis Of Randomized Algorithms
Download Design And Analysis Of Randomized Algorithms full books in PDF, epub, and Kindle. Read online free Design And Analysis Of Randomized Algorithms ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: J. Hromkovic |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 280 |
Release |
: 2005-10-11 |
ISBN-10 |
: 9783540279037 |
ISBN-13 |
: 3540279032 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Design and Analysis of Randomized Algorithms by : J. Hromkovic
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization
Author |
: Rajeev Motwani |
Publisher |
: Cambridge University Press |
Total Pages |
: 496 |
Release |
: 1995-08-25 |
ISBN-10 |
: 9781139643139 |
ISBN-13 |
: 1139643134 |
Rating |
: 4/5 (39 Downloads) |
Synopsis Randomized Algorithms by : Rajeev Motwani
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.
Author |
: J. Hromkovic |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 280 |
Release |
: 2005-06-14 |
ISBN-10 |
: 9783540239499 |
ISBN-13 |
: 3540239499 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Design and Analysis of Randomized Algorithms by : J. Hromkovic
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization
Author |
: Roberto Tempo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 363 |
Release |
: 2012-10-21 |
ISBN-10 |
: 9781447146100 |
ISBN-13 |
: 1447146107 |
Rating |
: 4/5 (00 Downloads) |
Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo
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
Author |
: Sandeep Sen |
Publisher |
: Cambridge University Press |
Total Pages |
: 395 |
Release |
: 2019-05-23 |
ISBN-10 |
: 9781108496827 |
ISBN-13 |
: 1108496822 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Design and Analysis of Algorithms by : Sandeep Sen
Focuses on the interplay between algorithm design and the underlying computational models.
Author |
: J. Hromkovic |
Publisher |
: Springer |
Total Pages |
: 277 |
Release |
: 2009-09-02 |
ISBN-10 |
: 3540805427 |
ISBN-13 |
: 9783540805427 |
Rating |
: 4/5 (27 Downloads) |
Synopsis Design and Analysis of Randomized Algorithms by : J. Hromkovic
Systematically teaches key paradigmic algorithm design methods Provides a deep insight into randomization
Author |
: Michael Mitzenmacher |
Publisher |
: Cambridge University Press |
Total Pages |
: 372 |
Release |
: 2005-01-31 |
ISBN-10 |
: 0521835402 |
ISBN-13 |
: 9780521835404 |
Rating |
: 4/5 (02 Downloads) |
Synopsis Probability and Computing by : Michael Mitzenmacher
Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This 2005 textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, the probabilistic method and Markov chains. The second half covers more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool.
Author |
: Roberto Tempo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 350 |
Release |
: 2005-09-05 |
ISBN-10 |
: 9781846280528 |
ISBN-13 |
: 1846280524 |
Rating |
: 4/5 (28 Downloads) |
Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo
Moving on from earlier stochastic and robust control paradigms, this book introduces the fundamentals of probabilistic methods in the analysis and design of uncertain systems. The use of randomized algorithms, guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control. Features: • self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis; • comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples; • applications in congestion control of high-speed communications networks and the stability of quantized sampled-data systems. This monograph will be of interest to theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.
Author |
: Devdatt P. Dubhashi |
Publisher |
: Cambridge University Press |
Total Pages |
: 213 |
Release |
: 2009-06-15 |
ISBN-10 |
: 9781139480994 |
ISBN-13 |
: 1139480995 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Concentration of Measure for the Analysis of Randomized Algorithms by : Devdatt P. Dubhashi
Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff–Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff–Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Author |
: Roberto Tempo |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 363 |
Release |
: 2012-10-21 |
ISBN-10 |
: 9781447146094 |
ISBN-13 |
: 1447146093 |
Rating |
: 4/5 (94 Downloads) |
Synopsis Randomized Algorithms for Analysis and Control of Uncertain Systems by : Roberto Tempo
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