Abstract
This paper considers a number of NP-complete problems, and provides faster algorithms for solving them. The solutions are based on a recursive partitioning of the problem domain, and careful elimination of some of the branches along the search without actually checking them. The time complexity of the proposed algorithms is of the form O(2εn) for constant 0 < ε < 1, where n is the output size of the problem. In particular, such algorithms are presented for the Exact SAT and Exact Hitting Set problems (with ε = 0.3212), and for the Exact 3SAT problem (with ε = 0.2072). Both algorithms improve on previous ones proposed in the literature.
| Original language | English |
|---|---|
| Pages (from-to) | 473-499 |
| Number of pages | 27 |
| Journal | Theoretical Computer Science |
| Volume | 287 |
| Issue number | 2 |
| DOIs | |
| State | Published - 28 Sep 2002 |
| Externally published | Yes |
| Event | Algorthims (ESA'99) - Prague, Czech Republic Duration: 16 Jul 1999 → 18 Jul 1999 |
Bibliographical note
Funding Information:∗Corresponding author. E-mail addresses: [email protected] (L. Drori), [email protected] (D. Peleg). 1Supported in part by grants from the Israel Science Foundation and the Israel Ministry and Art.
Funding
∗Corresponding author. E-mail addresses: [email protected] (L. Drori), [email protected] (D. Peleg). 1Supported in part by grants from the Israel Science Foundation and the Israel Ministry and Art.
| Funders |
|---|
| Israel Ministry and Art |
| Israel Science Foundation |
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