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Let f : C → R be a convex functional with L-Lipschitz continuous gradient ∇f.
Let H be a Hilbert space and (f:Htomathbb{R}) be a convex functional.
Let E be a real normed space with dual space, (E^) and (f:Erightarrowmathbb{R}) be a convex functional.
Let C be a nonempty closed convex subset of a real Hilbert space H. Let f : C → R be a convex functional with L-Lipschitz continuous gradient ∇f.
Let C be a nonempty closed convex subset of a real Hilbert space H and f : C → R be a convex functional with L-Lipschitz-continuous gradient ∇f.
Corollary 3.1 Let C be a nonempty closed convex subset of a real Hilbert space H. Let f : C → R be a convex functional with L-Lipschitz-continuous gradient ∇f.
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Note that for each is a convex functional, that is Hence, (3.4).
It is seen that Φ is a convex functional and that the following result holds.
For any, If is a convex functional, then coincides with the usual subdifferential of in the sense of convex analysis.
(4) For any, (5) If is a convex functional, then coincides with the usual subdifferential of in the sense of convex analysis.
Let F ( u ) = 1 2 ∫ Ω | u | 2 d x, then it is easy to prove that F ( u ) is a convex functional on L 2.
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