Quadratic optimization (QO) has been studied extensively in the literature due to its
applicability in many practical problems. While practical, it is known that QO problems are …

Robust Optimization (RO) is a popular approach for dealing with uncertain data in
optimization. In static robust optimization, decision variables represent here-and-now …

Adjustable Robust Optimization (ARO) is a paradigm for facing uncertainty in a decision
problem, in case some recourse actions are allowed after the actual value of all input …