An Ergodic Theorem for Stochastic Programming Problems?

نویسنده

  • Lisa A. Korf
چکیده

To justify the use of sampling to solve stochastic programming problems one usually relies on a law of large numbers for random lsc (lower semicontinuous) functions when the samples come from independent, identical experiments. If the samples come from a stationary process, one can appeal to the ergodic theorem proved here. The proof relies on thèscalarization' of random lsc functions.

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تاریخ انتشار 1999