Editors:
Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 72)
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Table of contents (11 papers)
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Front Matter
About this book
Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address the latest developments in this active field. They are from the IMA Workshops "Probability and Algorithms" and "The Finite Markov Chain Renaissance." They represent the current thinking of many of the world's leading experts in the field.
Researchers and graduate students in probability, computer science, combinatorics, and optimization theory will all be interested in this collection of articles. The techniques developed and surveyed in this volume are still undergoing rapid development, and many of the articles of the collection offer an expositionally pleasant entree into a research area of growing importance.
Editors and Affiliations
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Department of Statistics, University of California, Berkeley, USA
David Aldous
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Department of Mathematics, Harvard University, Cambridge, USA
Persi Diaconis
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Department of Computer Science Courant Institute, New York University, New York, USA
Joel Spencer
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Department of Statistics, The Wharton School University of Pennsylvania, Philadelphia, USA
J. Michael Steele
Bibliographic Information
Book Title: Discrete Probability and Algorithms
Editors: David Aldous, Persi Diaconis, Joel Spencer, J. Michael Steele
Series Title: The IMA Volumes in Mathematics and its Applications
DOI: https://doi.org/10.1007/978-1-4612-0801-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-387-94532-3Published: 29 June 1995
Softcover ISBN: 978-1-4612-6905-2Published: 28 September 2012
eBook ISBN: 978-1-4612-0801-3Published: 06 December 2012
Series ISSN: 0940-6573
Series E-ISSN: 2198-3224
Edition Number: 1
Number of Pages: XVII, 158
Topics: Combinatorics, Probability Theory and Stochastic Processes, Statistics, general