We give linear-time algorithms for a class of parametric search problems on weighted graphs of bounded tree-width. We also discuss the implications of our results to approximate parametric search on planar graphs.
Efficient Parallel Algorithms for Graphs of Bounded Tree-Width
β Scribed by Jens Lagergren
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 236 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0196-6774
No coin nor oath required. For personal study only.
β¦ Synopsis
We present an efficient parallel algorithm for the tree-decomposition problem Ε½ 3 . Ε½. for fixed width w. The algorithm runs in time O O log n and uses O O n processors on an ARBITRARY CRCW PRAM. The sequential complexity of our tree-decom-Ε½ 2 . position algorithm is O O n log n . The tree-decomposition algorithm enables us to construct efficient parallel algorithms for a broad class of problems, when restricted to graphs of tree-width at most w. Many of these problems are NP-complete for general graphs.
π SIMILAR VOLUMES
It is shown that for any positive integers k and w there exists a constant N ΒΌ N Γ°k; wΓ such that every 7-connected graph of tree-width less than w and of order at least N contains K 3;k as a minor. Similar result is proved for K a;k minors where a is an arbitrary fixed integer and the required conn
The P 4 -tidy graphs were introduced by I. Rusu to generalize some already known classes of graphs with few induced P 4 (cographs, P 4 -sparse graphs, P 4 -lite graphs). Here, we propose an extension of R. Lin and S. Olariu's work (1994. J. Parallel Distributed Computing 22, 26 36.) on cographs, usi
In this paper, we propose efficient parallel algorithms on the EREW PRAM for optimally locating in a tree network a path-shaped facility and a tree-shaped facility of a specified length. Edges in the tree network have arbitrary positive lengths. Two optimization criteria are considered: minimum ecce
A parallel algorithm is developed for the f i t time based on Frame's method to compute the characteristic polynomials of chemical graphs. This algorithm can handle all types of graphs: ordinary, weighted, directed, and signed. Our algorithm takes only linear time in the CRCW PRAM model with O(n9) p