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- W2002156785 abstract "In this paper, we present two parallel multiplicative algorithms for convex programming. If the objective function is differentiable and convex on the positive orthant of , and it has compact level sets and has a locally Lipschitz continuous gradient, we prove these algorithms converge to a solution of minimization problem. For the proofs there are essentially used the results of sequential methods shown by Eggermont[1]." @default.
- W2002156785 created "2016-06-24" @default.
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- W2002156785 date "2010-12-01" @default.
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- W2002156785 title "Parallel Iterative Methods for Nonlinear Programming Problems" @default.
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- W2002156785 doi "https://doi.org/10.4028/www.scientific.net/amr.159.105" @default.
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