The traveling salesman constants describe the asymptotic lengths of shortest closed tours through point sets in the traveling
salesman problem. For an integer, let be the length of the shortest tour, measured using Euclidean distance, through a specified set of
points in the unit hypercube. The worst-case constant
is the smallest constant such that, for every sequence
of these point sets,
and
is the best sphere packing density in -D space (Kabatyanskii and Levenshtein 1978, Moran 1984, Goddyn
1990, Cohn and Zhao 2014). For each fixed , Steele and Snyder (1989) proved that the maximum of
over -point
sets in ,
divided by ,
converges to as .
For the random points described above with , consider the constant
(18)
so
(19)
Nonrigorous numerical estimates give (Johnson et al. 1996) and (Percus and Martin 1996).
Their constant is in the notation used here. Dong and Cao
(2026) also obtained the interval with confidence at least from importance
sampling. This confidence refers to the randomness of the sampling procedure,
not to randomness of .
A certain self-avoiding space-filling function is an optimal tour through a set of points, where can be arbitrarily large. It has length
(21)
(OEIS A073008), where is the length of the curve at the th iteration and is the point-set size (Norman and Moscato 1995).
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