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Issue No.11 - November (1995 vol.6)
pp: 1132-1146
ABSTRACT
<p><it>Abstract</it>—In our earlier paper [<ref rid="BIBD11321" type="bib">1</ref>], a textured decomposition based algorithm is developed to solve the optimal routing problem in data networks; a few examples were used to illustrate the speedup advantage and the convergence conditions for the textured algorithm to converge to a global minimum. The speedup advantage is investigated in [<ref rid="BIBD11322" type="bib">2</ref>]. However, the theoretical foundation is not provided. In this paper, we provide the foundation. First, we show that for any textured decomposition, the algorithm always converges to a stationary point, which may not be a global minimum. And then, we prove that if the conditions of the exact convergence theorem are satisfied, the textured algorithm will converge to a global minimum.</p>
INDEX TERMS
Exact convergence, Kuhn-Tucker theorem, optimal routing, parallel processing, textured algorithm.
CITATION
Garng M. Huang, Wen-Lin Hsieh, "Exact Convergence of a Parallel Textured Algorithm for Data Network Optimal Routing Problems", IEEE Transactions on Parallel & Distributed Systems, vol.6, no. 11, pp. 1132-1146, November 1995, doi:10.1109/71.476185
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