Concentration of Measure for the 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 Concentration of Measure for the Analysis of Randomized Algorithms write by Devdatt P. Dubhashi. This book was released on 2009-06-15. Concentration of Measure for the Analysis of Randomized Algorithms available in PDF, EPUB and Kindle. 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.
Concentration of Measure for the Analysis of Randomized Algorithms
Concentration of Measure for the 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 Concentration of Measure for the Analysis of Randomized Algorithms write by Devdatt P. Dubhashi. This book was released on 2009-06-15. Concentration of Measure for the Analysis of Randomized Algorithms available in PDF, EPUB and Kindle. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms.
Concentration of Measure Inequalities in Information Theory, Communications, and Coding
Concentration of Measure Inequalities in Information Theory, Communications, and Coding - 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 Concentration of Measure Inequalities in Information Theory, Communications, and Coding write by Maxim Raginsky. This book was released on 2014. Concentration of Measure Inequalities in Information Theory, Communications, and Coding available in PDF, EPUB and Kindle. Concentration of Measure Inequalities in Information Theory, Communications, and Coding focuses on some of the key modern mathematical tools that are used for the derivation of concentration inequalities, on their links to information theory, and on their various applications to communications and coding.
Randomized Algorithms
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.
High-Dimensional Probability
High-Dimensional Probability - 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 High-Dimensional Probability write by Roman Vershynin. This book was released on 2018-09-27. High-Dimensional Probability available in PDF, EPUB and Kindle. An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
