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- W2000386465 abstract "Gauss-Seidel type relaxation techniques are applied in the context of strictly convex network optimization problems. The algorithm lends itself for processing in a massively distributed environment. A synchronous relaxation method (SRM) is proposed, based on the k-coloring properties of the network graph. The method is tested in a simulated distributed environment on a sequential machine. Lower bounds for the expected efficiency of SRM are developed and compared with its performance as obtained through computional experiments." @default.
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- W2000386465 title "A distributed algorithm for convex network optimization problems" @default.
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- W2000386465 doi "https://doi.org/10.1016/0167-8191(88)90004-x" @default.
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