Some Special P-Models in Chance-Constrained Programming

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Abstract
This paper establishes sufficient conditions for decision rules to be optimal for two n-penod P-models of chance-constrained programming. The models considered are the triangular model with total probability constraints and the block triangular model with conditional probability constraints. It is shown that, for both these models, a sufficient condition for optimality is that the decision rule be the optimal piecewise linear rule. Proofs of theorems are based on results contained in earlier papers by the authors, on n-penod E-models of chance-constrained programming.

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