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We present a parallel algorithm for finding a maximum weight matching in general bipartite graphs with an adjustable time complexity of O(n ) using O(nmax(2,4+)) processing
We present a coarse grained parallel algorithm for computing a maximum matching in a convex bipartite graph G = A;B;E. For p processors with N=p memory per processor, N = jAj+jBj,...
Prosenjit Bose, Albert Chan, Frank K. H. A. Dehne,...
Abstract This paper gives poly-logarithmic-round, distributed δ-approximation algorithms for covering problems with submodular cost and monotone covering constraints (Submodular-c...
We study complexity and approximation of min weighted node coloring in planar, bipartite and split graphs. We show that this problem is NP-complete in planar graphs, even if they a...
We present a deterministic way of assigning small (log bit) weights to the edges of a bipartite planar graph so that the minimum weight perfect matching becomes unique. The isolati...