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Explores an important and central issue in the field of convex optimization: optimality conditions. It brings together the most important and recent results in this area that have been scattered in the literature—notably in the area of convex analysis—essential in developing many of the important results.
Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization
Convex Optimization
Vector Variational Inequalities and Vector Optimization
Lectures on Convex Optimization
Convex Analysis for Optimization
Algorithms for Convex Optimization
Nonlinear Optimization
Convex Analysis and Beyond
Convex Optimization
High-Dimensional Optimization and Probability
Fundamentals of Convex Analysis and Optimization
Convex Stochastic Optimization
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