1977
DOI: 10.1002/jgt.3190010408
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Wright's formulae for the number of connected sparsely edged graphs

Abstract: We have written computer programs to determine exactly the coefficients in Wright's formula for f(n, n + k ) . the number of connected sparsely edged labeled graphs (see preceding paper), and used them up to k=24. We give the results up to k = 7 .

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Cited by 5 publications
(4 citation statements)
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“…Trivially f(n, n + k) = 0 when fc < -1 and (not trivially) f{n, n -1) = n"~2, a result due to Cayley [1] (see also [6]). Again Renyi [7] found a formula for f(n,n), Bagaev one for f(n,n + l) and I [9] found a recurrence method, well adapted to machine computation, to calculate an exact formula for f(n, n + k) for successive k and general n. The result becomes cumbrous and uninformative as k gets larger, but the calculation was taken as far as k = 24, when it was halted by the limits on the memory of the machine and not by any complication of method [4]. On the other hand, I have only succeeded in finding an asymptotic approximation to f(n, n + k) for large n when k = o(n 113 ), a result greatly inferior to Theorem 1 above, and that at the cost of a much more elaborate proof [11].…”
Section: T H E N U M B E R O F Sparsely E D G E D L a B E L L E D H Amentioning
confidence: 99%
See 1 more Smart Citation
“…Trivially f(n, n + k) = 0 when fc < -1 and (not trivially) f{n, n -1) = n"~2, a result due to Cayley [1] (see also [6]). Again Renyi [7] found a formula for f(n,n), Bagaev one for f(n,n + l) and I [9] found a recurrence method, well adapted to machine computation, to calculate an exact formula for f(n, n + k) for successive k and general n. The result becomes cumbrous and uninformative as k gets larger, but the calculation was taken as far as k = 24, when it was halted by the limits on the memory of the machine and not by any complication of method [4]. On the other hand, I have only succeeded in finding an asymptotic approximation to f(n, n + k) for large n when k = o(n 113 ), a result greatly inferior to Theorem 1 above, and that at the cost of a much more elaborate proof [11].…”
Section: T H E N U M B E R O F Sparsely E D G E D L a B E L L E D H Amentioning
confidence: 99%
“…We find that T 23 = |n(n-4)(2n-7), T 33 = §n(n-3), T 43 = n and T s3 = 0 for ss*5. Hence, by (4) and 8 With sufficient labour, we could use this method to calculate h(n, n + 4), but the prospect is somewhat daunting. Beyond k = 4, the method seems impracticable.…”
mentioning
confidence: 99%
“…If the special line belongs to a suspended path and if its removal disconnects the graph, we put the graph in set 98 3 , In each of the remaining graphs, the removal of the special line leaves the graph connected; if the suspended path is of length one, i.e. consists of the special line alone, we put the graph in sub-set 58 4 , if not, in sub-set 98 5 .…”
Section: Direct Combinatorial Proof Of Theoremmentioning
confidence: 99%
“…where the c ks are those given in Theorem 4 of [12] and b k =c k -3 k , c k = -c M _ 3 k . These can be calculated by computer by the methods described in [5] and [12] and, as shown in [14], b k = 3 k 2~k(fc -\)\d k , where d k is the sequence described in Theorem 5 below.…”
Section: Sparsely-edged Smooth Graphsmentioning
confidence: 99%