“…13,15,16,19,21] among other publications devoted to computing and estimating various subgradient sets for the classical distance function (1.1) in finite and infinite dimensions. Note that there are two principal and essentially different cases for generalized differentiation of ( 1.1): the in-set case of x E l1 and the out-of-set case of x ~ l1.…”
“…13,15,16,19,21] among other publications devoted to computing and estimating various subgradient sets for the classical distance function (1.1) in finite and infinite dimensions. Note that there are two principal and essentially different cases for generalized differentiation of ( 1.1): the in-set case of x E l1 and the out-of-set case of x ~ l1.…”
“…2 )-strictly Taylor differentiable at a point x if there exists a continuous linear operator from (E, . 2 ) to (Y, . ) denoted ∇h(x) such that for each v, the following holds: …”
Section: Relation To Taylor Derivatives and Generalized Subderivativesmentioning
confidence: 99%
“…Note that V is compact in (E, . 2 ), so that by definition of ∇h(x) for any ε there exists n 0 such that, for all n ≥ n 0 , for all v ∈ V , one has…”
Section: Proofmentioning
confidence: 99%
“…Let V any compact subset of (E, . 2 ) and ε any positive number. In view of (ii), there exists for each v in V a number δ(v) such that …”
Section: But This Is Impossible Since When V = V N the Term H(xn+tnmentioning
“…The readers are referred to [4,5,8,9,12,14,15,17,19,21,22,25,26] and the references therein for the study of the minimal time function as well as its specification to the case of the distance function.…”
Abstract. This paper is devoted to the study of generalized differentiation properties of the infimal convolution. This class of functions covers a large spectrum of nonsmooth functions well known in the literature. The subdifferential formulas obtained unify several known results and allow us to characterize the differentiability of the infimal convolution which plays an important role in variational analysis and optimization.
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