An Improved Linear Time Algorithm for Minimal Elimination Ordering
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An Improved Linear Time Algorithm for Minimal Elimination Ordering
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An Improved Linear Time Algorithm for Minimal Elimination Ordering in Planar Graphs that is Parallelizable ? Elias Dahlhaus Dept. of Computer Science University of Bonn Bonn, Germany ?? and Department of Mathematics and Department of Computer Science, University of Cologne, Cologne, Germany ???
0 Abstract We present an alternative linear time algorithm that computes an ordering that produces a ll-in that is minimal with respect to the subset relation. It is simpler than the algorithm in [6] and is easily parallelizable. The algorithm does not rely on the computation of a breadth- rst search tree.
1 Introduction One of the major problems in computational linear algebra is that of sparse Gauss elimination. The problem is to nd a pivoting, such that the number of zero entries of the original matrix that become non zero entries in the elimination process is minimized. In case of symmetric matrices, we would like to restrict pivoting along the diagonal. The problem translates to the following graph theory problem [16].
Minimum Elimination Ordering
For an ordering < on the vertices, we consider the ll-in graph G0< = (V; E 0 ) of G = (V; E ). G0< contains rst the edges in E and secondly two vertices x and y form an edge in G0< if they have a common smaller neighbor in G0< . The problem of Minimum Elimination ordering is, given a graph G = (V; E ), nd an ordering