(Enter summary)
Abstract: We present a polynomial time approximation scheme for Euclidean TSP
in fixed dimensions. For every fixed c > 1 and given any n nodes in
#
2
,
a randomized version of the scheme finds a (1 + 1/c)-approximation to the
optimum traveling salesman tour in O(n(log n)
O(c)
) time. When the nodes are
in
#
d
, the running time increases to O(n(log n)
(O( # dc))
d-1
). For every fixed c, d
the running time is n
poly(log n), i.e., nearly linear in n. The algorithm can
be derandomized,... (Update)
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BibTeX entry: (Update)
S. Arora, Polynomial time approximation schemes for Euclidean TSP and other geometric problems, Manuscript, March 30, 1996. Appears in Proc. 37th Annu. IEEE Sympos. Found. Comput. Sci.(1996), pp. 2--12. http://citeseer.ist.psu.edu/article/arora96polynomial.html More
@article{ arora98polynomial,
author = "Sanjeev Arora",
title = "Polynomial time approximation schemes for {Euclidean} traveling salesman and other geometric problems",
journal = "Journal of the ACM",
volume = "45",
number = "5",
pages = "753--782",
year = "1998",
url = "citeseer.ist.psu.edu/article/arora96polynomial.html" }
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Approximation Algorithms for NP-hard problems (context) - Hochbaum - 1996
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Finding cuts in the TSP (context) - Applegate, Bixby et al.
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15
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