In this paper, we consider a greedy algorithm for thickness of graphs. The greedy algorithm we consider here takes a maximum planar subgraph away from the current graph in each iteration and repeats this process until the current graph has no edge. The greedy algorithm outputs the number of iteratio
Analysis of greedy algorithms on graphs with bounded degrees
✍ Scribed by Nicholas C. Wormald
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 370 KB
- Volume
- 273
- Category
- Article
- ISSN
- 0012-365X
No coin nor oath required. For personal study only.
✦ Synopsis
We give a general result on the average-case performance of certain greedy algorithms. These are derived from algorithms in which the possible operations performed at each step are prioritised. This type of prioritisation has occurred in previously studied heuristics for ÿnding large subgraphs with special properties in random regular graphs, such as maximum independent sets and minimum dominating sets. The approach in this paper eliminates some of the complications caused by prioritisation. The main results apply in general to random graphs with a given degree sequence.
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For graphs G and H we write G wÄ ind H if every 2-edge colouring of G yields an induced monochromatic copy of H. The induced Ramsey number for H is defined as r ind (H)=min[ |V(G)|: G wÄ ind H]. We show that for every d 1 there exists an absolute constant c d such that r ind (H n, d ) n cd for every
Truszczydski, M., Decompositions of graphs into forests with bounded maximum degree, Discrete Mathematics 98 (1991) 207-222.
## Abstract A graph __G__ is degree‐bounded‐colorable (briefly, db‐colorable) if it can be properly vertex‐colored with colors 1,2, …, k ≤ Δ(__G__) such that each vertex __v__ is assigned a color __c__(__v__) ≤ __v__. We first prove that if a connected graph __G__ has a block which is neither a com