The upper semiconvergence of the optimal solution set of approximations for stochastic programming
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HUO Yong-liang1,2;LIU San-yang1
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Abstract: The continuous convergence of the objective function sequence of approximations for stochastic programming is discussed. The convergence condition for the fesible set sequence of approximations for stochastic programming is studied. Finally, a sufficient condition for upper semiconvergence of the optimal solution set of approximations for stochastic programming is given.
Key words: stochastic programming, optimal solution set, upper semiconvergence
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HUO Yong-liang1;2;LIU San-yang1.
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URL: https://journal.xidian.edu.cn/xdxb/EN/
https://journal.xidian.edu.cn/xdxb/EN/Y2005/V32/I6/953
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