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This document provides exercises related to optimization techniques including subgradients, subgradient methods, stochastic subgradient methods, localization methods, decomposition methods, monotone operators, ADMM, sequential convex programming, l1 methods, optimization with uncertain data, model predictive control, and branch and bound. The exercises cover calculating subgradients of various convex functions, properties of subdifferentiable functions, finding subgradients/quasigradients efficiently, inter

Author

Adrian Green

Language

EN