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Algorithm to Optimize the Quantile Criterion for the Polyhedral Loss Function and Discrete Distribution of Random Parameters

机译:多面体损失函数的分位数准则优化和随机参数离散分布的算法

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摘要

For the vector of random parameters with discrete distribution and finite number of realizations, consideration was given to the problem of stochastic linear programming with a quantile criterion. The sufficient conditions for existence of problem solution were formulated. A method of reduction of the original problem to the mixed linear programming problem of high dimension was proposed. For the resulting problem, a solution algorithm was constructed on the basis of the methods of decomposition of the linear programming problems.
机译:对于具有离散分布和有限数量实现的随机参数向量,考虑了具有分位数准则的随机线性规划问题。提出了解决问题的充分条件。提出了一种将原始问题简化为高维混合线性规划问题的方法。针对由此产生的问题,基于线性规划问题的分解方法构造了一种求解算法。

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