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Proximal Gradient Methods

Proximal gradient methods are a generalized form of projection used to solve non-differentiable convex optimization problems. Proximal gradient methods are a generalized form of projection used to solve non-differentiable convex optimization problems.

[ "Convex function", "Convex optimization", "Linear matrix inequality", "Convex analysis", "Gradient method" ]
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