Abstract
We study the multiterminal cut problem, which, given an n-vertex graph whose edges are integer-weighted and a set of terminals, asks for a partition of the vertex set such that each terminal is in a distinct part, and the total weight of crossing edges is at most k. Our weapons shall be two classical results known for decades: maximum volume minimum (s,t)-cuts by Ford and Fulkerson [11] and isolating cuts by Dahlhaus et al. [9]. We sharpen these old weapons with the help of submodular functions, and apply them to this problem, which enable us to design a more elaborated branching scheme on deciding whether a non-terminal vertex is with a terminal or not. This bounded search tree algorithm can be shown to run in 1.84k×nO(1)time, thereby breaking the 2k×nO(1)barrier. As a by-product, it gives a 1.36k×nO(1)time algorithm for 3-terminal cut. The preprocessing applied on non-terminal vertices might be of use for study of this problem from other aspects.
| Original language | English |
|---|---|
| Pages (from-to) | 167-173 |
| Number of pages | 7 |
| Journal | Information Processing Letters |
| Volume | 114 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Apr 2014 |
| Externally published | Yes |
Keywords
- Graph algorithms
- Parameterized computation
ASJC Scopus subject areas
- Theoretical Computer Science
- Signal Processing
- Information Systems
- Computer Science Applications
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