Title
Boltzmann Samplers, Pólya Theory, and Cycle Pointing
Abstract
We introduce a general method to count unlabeled combinatorial structures and to efficiently generate them at random. The approach is based on pointing unlabeled structures in an “unbiased” way so that a structure of size $n$ gives rise to $n$ pointed structures. We extend Pólya theory to the corresponding pointing operator and present a random sampling framework based on both the principles of Boltzmann sampling and Pólya operators. All previously known unlabeled construction principles for Boltzmann samplers are special cases of our new results. Our method is illustrated in several examples: in each case, we provide enumerative results and efficient random samplers. The approach applies to unlabeled families of plane and nonplane unrooted trees, and tree-like structures in general, but also to families of graphs (such as cacti graphs and outerplanar graphs) and families of planar maps.
Year
DOI
Venue
2011
10.1137/100790082
SIAM Journal on Computing
Keywords
DocType
Volume
lya operator,random sampling framework,unlabeled family,efficient random sampler,unlabeled structure,lya theory,cycle pointing,boltzmann sampling,unlabeled construction principle,boltzmann sampler,boltzmann samplers,general method,unlabeled combinatorial structure,boltzmann,graphs
Journal
40
Issue
ISSN
Citations 
3
0097-5397
11
PageRank 
References 
Authors
1.04
5
4
Name
Order
Citations
PageRank
Manuel Bodirsky164454.63
Éric Fusy219821.95
Mihyun Kang316329.18
Stefan Vigerske411910.85