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On the Computational Complexity of Combinatorial Problems
Abstract
A large class of classical combinatorial problems, including most of the difficult problems in the literature of network flows and computational graph theory, are shown to be equivalent, in the sense that either all or none of them can be solved in polynomial time. Moreover, they are solvable in polynomial time if and only if every problem solvable by a polynomial‐depth backtrack search is also solvable by a polynomial‐time algorithm. The technique of deriving these results through problem transformations is explained, and some comments are made as to the probable effect of these results on research in the field of combinatorial algorithms.
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Cites
The complexity of theorem-proving procedures
Cook, S. A. (1971) · Proceedings of the third annual ACM symposium on Theory of computing - STOC '71 · doi:10.1145/800157.805047 · Cited by 6,385
Cited by
Graph minors. II. Algorithmic aspects of tree-width
Robertson, N., & Seymour, P. D. (1986) · Journal of Algorithms · doi:10.1016/0196-6774(86)90023-4 · Cited by 1,542
Best Algorithms for Approximating the Maximum of a Submodular Set Function
Nemhauser, G. L., & Wolsey, L. A. (1978) · Mathematics of Operations Research · doi:10.1287/moor.3.3.177 · Cited by 538
Rossi, F., Zhang, R., Hindy, Y., & Pavone, M. (2018) · Autonomous Robots · doi:10.1007/s10514-018-9750-5 · Cited by 153
The densest hemisphere problem
Johnson, D. S., & Preparata, F. P. (1978) · Theoretical Computer Science · doi:10.1016/0304-3975(78)90006-3 · Cited by 152
Metadata
- Authors
- Karp, R. M.
- Venue
- Networks
- Publisher
- Wiley
- Published
- 1975-01
- Volume
- 5
- Issue
- 1
- Pages
- 45-68
- ISSN
- 0028-3045 (ISSN-L)
- 1097-0037
- OpenAlex
- W100926944
- Cited by
- 711
- References
- 1
- FWCI
- 22.71
- Type
- journal article
- Language
- en
- Open access
- closed
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