Maximizing traveling salesman problem for special matrices

Gregory Gutin and Blokh, D.

(1995)

Gregory Gutin and Blokh, D. (1995) Maximizing traveling salesman problem for special matrices. Discrete Applied Mathematics, 56 (1). pp. .

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Abstract

We consider the maximizing travelling salesman problem (MTSP) for two special classes of n × n matrices with non-negative entries, namely, matrices from M(n) and M(n, α) (α 3) defined as follows. An n × n matrix W = [wij]M(n) if wij = 0 for all i, j such that ¦i – j¦ ≠ 1. An n × n matrix W = [wij]M(n, α) if min¦i-j¦ = 1 wijαmax¦i-j¦ ≠ 1 wij. We describe an O(n)- algorithm solving exactly the MTSP for matrices from M (n) and show that this algorithm provides an approximate solution of the MTSP for matrices from M(n, α) for α 3 with a relative error of at most n/(2α(n – 1)). It is proved that the MTSP is NP-hard for matrices from M(n, α) for every fixed positive α.

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This is a Published version
This version's date is: 1995
This item is not peer reviewed

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https://repository.royalholloway.ac.uk/items/c16589de-e4ba-c1fa-aadc-b744b18ef89f/1/

Item TypeJournal Article
TitleMaximizing traveling salesman problem for special matrices
AuthorsGutin, Gregory
Blokh, D.
DepartmentsFaculty of Science\Computer Science

Identifiers

doi10.1016/0166-218X(94)00074-N

Deposited by () on 23-Dec-2009 in Royal Holloway Research Online.Last modified on 27-May-2010


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