Given a graph G = V E , a weight function w E → R + , and a parameter k, we consider the problem of finding a subset U ⊆ V of size k that maximizes: Max-Vertex Cover k the weight of edges incident with vertices in U, Max-Dense Subgraph k the weight of edges in the subgraph induced by U, Max-Cut k th
Approximating the maximally balanced connected partition problem in graphs
✍ Scribed by Janka Chlebíková
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 572 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0020-0190
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✦ Synopsis
The approximability of the following optimization problem is investigated: Given a connected graph G = (YE), find the maximally balanced connected partition for G, i.e. a partition (K, V2) of V into disjoint sets VI and V2 such that both subgraphs of G induced by VI and & are connected, and maximize an objective function "balance", B( V,, V2) = min( IV, 1, I&l). We prove that for any E > 0 it is NP-hard (even for bipartite graphs) to approximate the maximum balance of the connected partition for G = (YE) with an absolute error guarantee of IV/'-'. On the other hand, we give a polynomial-time approximation algorithm that solves the problem within 4/3 even when vertices of G are weighted. The variation of the problem is equivalent to the Maximally Balanced Spanning Tree Problem studied by Galbiati, Maffioli and Morzenti ( 1995). Our simple polynomial-time algorithm approximates the solution of that problem within 1.072.
📜 SIMILAR VOLUMES
Generalizing a theorem of Moon and Moser. we determine the maximum number of maximal independent sets in a connected graph on n vertices for n sufficiently large, e.g., n > 50. = I .32. . .). Example 1.2. Let b, = i(C,), where C,z denotes the circuit of length n. Then b, = 3, 6, = 2, b, = 5, and b,
We determine the maximum on n vertices can have, and we a question of Wilf. number of maximal independent sets which a connected graph completely characterize the extremal graphs, thereby answering \* Partially supported by NSF grant number DIMS-8401281. t Partially supported by NSF grant number D S
## Abstract In this paper, the author explains the recent evolution of algorithms for minimum partitioning problems in graphs. When the set of vertices of a graph having non‐negative weights for edges is divided into __k__ subsets, the set of edges for which both endpoints are contained in differen