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Optimization with convex constraints and convex objectives; notions related to convex optimization such as sub-gradients, normal cones, separating hyperplanes

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Reformulation as optimization on probability distributions

One thing that comes to mind is the modern approach to solving partial differential equations by looking for solutions that are distributions instead of only differentiable functions; see chapter 8 in …
Eric Canton's user avatar