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More Efficient Parallel Totally Monotone Matrix Searching
Authors:Phillip G Bradford  Rudolf Fleischer  Michiel Smid
Institution:aMax-Planck-Institut für Informatik, Im Stadtwald, D-666123, Saarbrücken, Germany;bFakultät für Informatik, Otto-von-Guericke-Universität Magdeburg, D-39106, Magdeburg, Germany
Abstract:We give a parallel algorithm for computing all row minima in a totally monotonen × nmatrix which is simpler and more work efficient than previous polylog-time algorithms. It runs inO(lg n lg lg n) time doingView the MathML sourcework on aCRCW PRAM, inO(lg n(lg lg n)2) time doingView the MathML sourcework on aCREW PRAM, and inView the MathML sourcetime doingView the MathML sourcework on anEREW PRAM. Since finding the row minima of a totally monotone matrix has been shown to be fundamental in the efficient solution of a host of geometric and combinatorial problems, our algorithm leads directly to improved parallel solutions of many algorithms in terms of their work efficiency.
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