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In this paper we consider ambiguous stochastic constraints under partial information consisting of means and dispersion measures of the underlying random parameters. Whereas the past literature used the variance as the dispersion measure, here we use the mean absolute deviation from the mean...
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In this paper we focus on robust linear optimization problems with uncertainty regions defined by ø-divergences (for … example, chi-squared, Hellinger, Kullback-Leibler). We show how uncertainty regions based on ø-divergences arise in a natural …-divergence uncertainty is tractable for most of the choices of ø typically considered in the literature. We extend the results to problems …
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