Branda, Martin - In: Mathematical Methods of Operations Research 77 (2013) 2, pp. 265-277
We extend the theory of penalty functions to stochastic programming problems with nonlinear inequality constraints dependent on a random vector with known distribution. We show that the problems with penalty objective, penalty constraints and chance constraints are asymptotically equivalent...
