Properties of Subgradients for Non-Differentiable Convex Functions
Students often struggle to internalize that \ \\partial f(x) \ is a set, not a single vector, at non-differentiable points. The geometric intuition of 'supporting hyperplanes' can also be challenging to visualize in higher dimensions, leading to confusion about its existence and uniqueness.
Institutional Reference: Fundamentals of Optimization
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