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• W2034373500 abstract "A primal dual method of Kushner and Sanvicente for a constrained optimization problem with convex regression functions is investigated without a priori bounds. For the stochastic approximation sequence almost sure convergence to a random optimal solution and a random Kuhn-Tucker vector is shown, and for the uniqueness case, a functional central limit theorem is given." @default.
• W2034373500 created "2016-06-24" @default.
• W2034373500 creator A5062581253 @default.
• W2034373500 date "1983-01-01" @default.
• W2034373500 modified "2023-09-25" @default.
• W2034373500 title "Stochastic iteration for a constrained optimization problem" @default.
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• W2034373500 doi "https://doi.org/10.1080/07474948408836045" @default.
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