2003
DOI: 10.1016/s0022-247x(03)00213-0
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Equivalence among various derivatives and subdifferentials of the distance function

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Cited by 25 publications
(13 citation statements)
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“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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%
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“…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.…”
Section: Introductionmentioning
confidence: 99%