Gradients and subgradients of buffered failure probability

Gradients and subgradients are central to optimization sensitivity analysis of buffered failure probabilities. We furnish a characterization based on subdifferential calculus in the case finite probability distributions and, under additional assumptions, also gradient expression for general distributions. Several examples illustrate application results, especially context optimality conditions.