1997
DOI: 10.1007/bf02354988
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Subdifferentiability and superdifferentiability of distance functions

Abstract: ABSTRACT. We obtain necessary and sufficient conditions for the subdifferentiability and superdifferentiability (in the Demlyanov-Rubinov sense) of the distance in an arbitrary norm from a point to a set for the finitedimensional case. The geometric structure of the subdi_fferential and the superdifferential is described.KEY WORDS: subdifferential, superdifferential, distance function.The distance from a point ~o a 8e~ (the distance function in the sequel) is usually defined as p~(x) = minn(x-y), yen where fl … Show more

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Cited by 12 publications
(7 citation statements)
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“…Now we prove the reverse inclusion to (15). Indeed, assuming the contrary, we see that there must exist x * / ∈ C(r ) and x * ∈ C φ (r ).…”
Section: Theorem 31 In Order That X * ∈ C φ (R ) It Is Necessary Andmentioning
confidence: 86%
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“…Now we prove the reverse inclusion to (15). Indeed, assuming the contrary, we see that there must exist x * / ∈ C(r ) and x * ∈ C φ (r ).…”
Section: Theorem 31 In Order That X * ∈ C φ (R ) It Is Necessary Andmentioning
confidence: 86%
“…The function ρ D (x) is a finite convex function over R p , and the formula for its subdifferential at every x ∈ R p is as follows [15] ∂ρ…”
Section: Problem Statement: Auxiliary Factsmentioning
confidence: 99%
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“…Если компакт D является выпуклым, то функция ρ D (x) является выпуклой и конечной на R p , а ее субдифференциал можно выразить формулой (см. [28])…”
Section: расстояние от точки X до самой удаленной в норме N(unclassified
“…Если D -выпуклое тело, то эта функция является вогнутой (см., например, [29]) на D, а ее супердифференциал в точке x ∈ int D выражает формула (см. [28])…”
Section: нам также будет нужна функция расстояния от точки X до ближаunclassified