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This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-05-31 and was most recently seen on 2026-05-31.
Subgradient methods are convex optimization methods which use subderivatives. Originally developed by Naum Z. Shor and others in the 1960s and 1970s, subgradient methods are convergent when applied even to a non-differentiable objective function. When the objective function is differentiable, subgradient methods for unconstrained problems use the same search direction as the method of gradient descent.
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