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Thus, in the limit α→ ∞ the regularized objective function becomes a convex function.
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If α = m = 1, the ( α, m ) -geometrically convex function becomes a geometrically convex function on [ 0, b ].
The resulting problem becomes a convex optimization problem.
It implies that E[TC] is a convex function, and the local minimum becomes the global minimum in the specified interval.
Since is an increasing convex function, is a convex function.
Thus, is a convex function.
Let be a convex function.
Let ρ be a convex function modular.
(Nonconvex regularization of a convex function).
Further, let be a convex function.
Thus, must be a convex function when.
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