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An approximation algorithm with performance guarantees for the maximum traveling salesman problem on special matrices
In this paper, we investigate the maximum traveling salesman problem (Max-TSP) on quasi-banded matrices. A matrix is quasi-banded with multiplier α if all its elements contained within a band of several diagonals above and below the principal diagonal are non-zero, and any element in the band is at...
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Published in: | Discrete Applied Mathematics 2002-06, Vol.119 (1), p.139-148 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, we investigate the maximum traveling salesman problem (Max-TSP) on quasi-banded matrices. A matrix is quasi-banded with multiplier
α if all its elements contained within a band of several diagonals above and below the principal diagonal are non-zero, and any element in the band is at least
α times larger than the maximal element outside the band. We investigate the properties of the Max-TSP on the quasi-banded matrices, prove that it is strongly NP-hard and derive a linear-time approximation algorithm with a guaranteed performance. |
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ISSN: | 0166-218X 1872-6771 |
DOI: | 10.1016/S0166-218X(01)00270-0 |