本文对随机规划经验逼近最优解集的几乎处处上半收敛性进行了研究。
This paper discussed almost everywhere upper semiconvergence of optimal solution set of empirical approximations for stochastic programs.
在分析数学中一致收敛的重要性及几乎处处收敛不一定能够一致收敛。
To make sure under what circumstances everywhere converge can be converted into uniform convergence, a typical counter-case has to be analysed.
其结论是：在不同方式的定义下，同一随机变量的分布函数几乎处处相等。
This paper discusses the difference of the two of definitions of distribution function, and the result is that the tow functions are equal almost everywhere.
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