A SUCCESSIVE APPROXIMATION METHOD FOR SOLVING PROBABILISTIC CONSTRAINED PROGRAMS

摘要

In this paper a successive approximation method for solving probabilistic constrained programs is proposed. At each iteration of this method only few linear programs on a normal scale have to be solved. An error bound for the optimal value is given.