DocumentCode :
2434278
Title :
A New Direction for Counting Perfect Matchings
Author :
Izumi, Taisuke ; Wadayama, Tadashi
Author_Institution :
Grad. Sch. of Eng., Nagoya Inst. of Technol., Nagoya, Japan
fYear :
2012
fDate :
20-23 Oct. 2012
Firstpage :
591
Lastpage :
598
Abstract :
In this paper, we present a new exact algorithm for counting perfect matchings, which relies on neither inclusion-exclusion principle nor tree-decompositions. For any bipartite graph of 2n nodes and Δn edges such that Δ ≥ 3, our algorithm runs with O*(2(1-1/O(Δ log Δ))n) time and exponential space. Compared to the previous algorithms, it achieves a better time bound in the sense that the performance degradation to the increase of Δ is quite slower. The main idea of our algorithm is a new reduction to the problem of computing the cut-weight distribution of the input graph. The primary ingredient of this reduction is MacWilliams Identity derived from elementary coding theory. The whole of our algorithm is designed by combining that reduction with a non-trivial fast algorithm computing the cut-weight distribution. To the best of our knowledge, the approach posed in this paper is new and may be of independent interest.
Keywords :
computational complexity; trees (mathematics); MacWilliams identity; bipartite graph; counting perfect matchings; cut-weight distribution; elementary coding theory; exact algorithm; exponential space; inclusion-exclusion principle; input graph; nontrivial fast algorithm; performance degradation; time space; tree-decompositions; Bipartite graph; Generators; Linear code; Optical wavelength conversion; Partitioning algorithms; Polynomials; Vectors; MacWilliams identity; coding theory; counting perfect matchings; exponential algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2012 IEEE 53rd Annual Symposium on
Conference_Location :
New Brunswick, NJ
ISSN :
0272-5428
Print_ISBN :
978-1-4673-4383-1
Type :
conf
DOI :
10.1109/FOCS.2012.28
Filename :
6375338
Link To Document :
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