A subgradient is a generalization of the gradient for convex functions at points where the function may not be differentiable. It represents a direction in which the function does not decrease, providing valuable information about the local behavior of the function at that point. Understanding subgradients is crucial for optimization problems, especially when dealing with non-smooth convex functions.
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