DocumentCode
2356885
Title
Polynomial time randomised approximation schemes for the Tutte polynomial of dense graphs
Author
Alon, Noga ; Frieze, Alan ; Welsh, Dominic
Author_Institution
Raymond & Beverly Sackler Fac. of Exact Sci., Tel Aviv Univ., Israel
fYear
1994
fDate
20-22 Nov 1994
Firstpage
24
Lastpage
35
Abstract
The Tutte-Grothendieck polynomial T(G; x, y) of a graph G encodes numerous interesting combinatorial quantities associated with the graph. Its evaluation in various points in the (x,y) plane gave the number of spanning forests of the graph, the number of its strongly connected orientations, the number of its proper k-colorings, the (all terminal) reliability probability of the graph, and various other invariants the exact computation of each of which is well known to be P-hard. Here we develop a general technique that supplies fully polynomial randomised approximation schemes for approximating the valve of T(G; x,, y) for any dense graph G, that is, any graph on n vertices whose minimum degree is Ω(n), whenever x⩾1 and y⩾1, and in various additional points. This region includes evaluations of reliability and partition functions of the ferromagnetic Q-state Potts model. Extensions to linear matroids where T specialises to the weight enumerator of linear codes are considered as well
Keywords
Potts model; graph theory; linear codes; polynomial matrices; randomised algorithms; P-hard; Tutte polynomial; Tutte-Grothendieck polynomial; combinatorial quantities; dense graphs; ferromagnetic Q-state Potts model; k-colorings; linear codes; linear matroids; partition functions; polynomial time randomised approximation schemes; reliability probability; spanning forests; strongly connected orientations; weight enumerator; Bipartite graph; Educational institutions; Linear code; Mathematics; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1994 Proceedings., 35th Annual Symposium on
Conference_Location
Santa Fe, NM
Print_ISBN
0-8186-6580-7
Type
conf
DOI
10.1109/SFCS.1994.365708
Filename
365708
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