A presentation of general results for discussing local optimality and computation of the expansion of value function and approximate solution of optimization pr

The main subject of this book is perturbation analysis of continuous optimization problems. In the last two decades considerable progress has been made in that

A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly al

Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programm