<p>This monograph is a slightly revised version of my PhD thesis [86], comΒ pleted in the Department of Computer Science at the University of EdinΒ burgh in June 1988, with an additional chapter summarising more recent developments. Some of the material has appeared in the form of papers [50,88]. Th
Algorithms for Random Generation and Counting: A Markov Chain Approach
β Scribed by A. Sinclair
- Publisher
- BirkhΓ€user Boston
- Year
- 1993
- Tongue
- English
- Leaves
- 79
- Series
- Progress in Theoretical Computer Science
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠ»Π³ΠΎΡΠΈΡΠΌΡ ΠΈ ΡΡΡΡΠΊΡΡΡΡ Π΄Π°Π½Π½ΡΡ
π SIMILAR VOLUMES
<p><B>Randomized Algorithms</B> discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like "How many are there?" and "What does it look like on average?" of families of combinatoria
Randomized Algorithms discusses two problems of fine pedigree: counting and generation, both of which are of fundamental importance to discrete mathematics and probability. When asking questions like "How many are there?" and "What does it look like on average?" of families of combinatorial structur
Markov chains are among the basic and most important examples of random processes. This book is about time-homogeneous Markov chains that evolve with discrete time steps on a countable state space. A specific feature is the systematic use, on a relatively elementary level, of generating functions as