2003
DOI: 10.1016/s0022-247x(03)00213-0
|View full text |Cite
|
Sign up to set email alerts
|

Equivalence among various derivatives and subdifferentials of the distance function

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
13
0

Year Published

2006
2006
2014
2014

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 24 publications
(13 citation statements)
references
References 5 publications
0
13
0
Order By: Relevance
“…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%
See 1 more Smart Citation
“…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%