TY - JOUR
T1 - Polynomial time randomized approximation schemes for Tutte–Gröthendieck invariants
T2 - The dense case
AU - Alon, Noga
AU - Frieze, Alan
AU - Welsh, Dominic
PY - 1995/7
Y1 - 1995/7
N2 - The Tutte‐Gröthendieck 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 give 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 value of T(G; x, y) for any dense graph G, that is, any graph on n vertices whose minimum.
AB - The Tutte‐Gröthendieck 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 give 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 value of T(G; x, y) for any dense graph G, that is, any graph on n vertices whose minimum.
UR - http://www.scopus.com/inward/record.url?scp=84990630755&partnerID=8YFLogxK
U2 - 10.1002/rsa.3240060409
DO - 10.1002/rsa.3240060409
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AN - SCOPUS:84990630755
SN - 1042-9832
VL - 6
SP - 459
EP - 478
JO - Random Structures and Algorithms
JF - Random Structures and Algorithms
IS - 4
ER -