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- W2033976741 abstract "The problem of computing a fixed point of a nonexpansive function f is considered. Sufficient conditions are provided under which a parallel, partially asynchronous implementation of the iteration $x: = f(x)$ converges. These results are then applied to (i) quadratic programming subject to box constraints, (ii) strictly convex cost network flow optimization, (iii) an agreement and a Markov chain problem, (iv) neural network optimization, and (v) finding the least element of a polyhedral set determined by a weakly diagonally dominant, Leontief system. Finally, simulation results illustrating the attainable speedup and the effects of asynchronism are presented." @default.
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- W2033976741 date "1990-03-01" @default.
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- W2033976741 title "Partially Asynchronous, Parallel Algorithms for Network Flow and Other Problems" @default.
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- W2033976741 doi "https://doi.org/10.1137/0328040" @default.
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