An algorithm is presented that can be used to pack sets of squares (or rectangles) into rectangles. The algorithm is applied to three open problems and will show how the best known results can be improved by a factor of at least 6\_10 6 in the first two problems and 2\_10 6 in the third.
An Algorithm for Packing Connectors
โ Scribed by J. Keijsper
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 256 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0095-8956
No coin nor oath required. For personal study only.
โฆ Synopsis
Given an undirected graph G=(V, E) and a partition [S, T] of V, an S&T connector is a set of edges F E such that every component of the subgraph (V, F) intersects both S and T. If either S or T is a singleton, then an S&T connector is a spanning subgraph of G. On the other hand, if G is bipartite with colour classes S and T, then an S&T connector is an edge cover of G (a set of edges covering all vertices). An S&T connector is a common spanning set of two graphic matroids on E. We prove a theorem on packing common spanning sets of certain matroids, generalizing a result of Davies and McDiarmid on strongly base orderable matroids. As a corollary, we obtain an O({(n, m)+nm) time algorithm for finding a maximum number of S&T connectors, where {(n, m) denotes the complexity of finding a maximum number of edge disjoint spanning trees in a graph on n vertices and m edges. Since the best known bound for {(n, m) is O(nm log(mรn)), this bound for packing S&T connectors is as good as the current bound for packing spanning trees.
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