Over the last two decades, robust optimization has emerged as a popular means to address decision-making problems affected by uncertainty. This includes single-stage and multi-stage involving real-valued and/or binary decisions exogenous (decision-independent) endogenous (decision-dependent) uncertain parameters. Robust techniques rely on duality theory potentially augmented with approximations...