نتایج جستجو برای: lipschitz function

تعداد نتایج: 1218581  

Journal: :bulletin of the iranian mathematical society 2012
h. mahyar a. h. sanatpour

we investigate compact composition operators on ceratin lipschitzspaces of analytic functions on the closed unit disc of the plane.our approach also leads to some results about compositionoperators on zygmund type spaces.

Journal: :Applied Mathematics and Computation 2012
Djurdje Cvijovic

In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: Keywords: Discrete Fourier transform Alternating zeta functions Hurwitz–Lerch zeta function Lipschitz–Lerch zeta function Le...

Journal: :SIAM Journal on Optimization 2006
Yaroslav D. Sergeyev Dmitri E. Kvasov

In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz constant is considered. A new efficient algorithm for solving this problem is presented. At each iteration of the method a number of possible Lipschitz constants is chosen from a set of values varying from zero to infinity. Th...

2009
A. Ebadian A. A. Shokri H. X. Cao J. H. Zhang A. A. SHOKRI

In a recent paper by H. X. Cao, J. H. Zhang and Z. B. Xu an α-Lipschitz operator from a compact metric space into a Banach space A is defined and characterized in a natural way in the sence that F : K → A is a α-Lipschitz operator if and only if for each σ ∈ X∗ the mapping σ ◦ F is a α-Lipschitz function. The Lipschitz operators algebras Lα(K,A) and lα(K,A) are developed here further, and we st...

2009
A. A. Shokri A. Ebadian A. R. Medghalchi

In a recent paper by H.X. Cao, J.H. Zhang and Z.B. Xu a α-Lipschitz operator from a compact metric space into a Banach space A is defined and characterized in a natural way in the sence that F : K → A is a α-Lipschitz operator if and only if for each σ ∈ X∗ the mapping σoF is a α-Lipschitz function. The Lipschitz operators algebras L(K,A) and l(K,A) are developed here further, and we study thei...

2000
DANIEL AZAGRA S. A. Shkarin

We prove the following new characterization of C (Lipschitz) smoothness in Banach spaces. An infinite-dimensional Banach space X has a C smooth (Lipschitz) bump function if and only if it has another C smooth (Lipschitz) bump function f such that its derivative does not vanish at any point in the interior of the support of f (that is, f does not satisfy Rolle’s theorem). Moreover, the support o...

1990
Martin Costabel

Let ~ u be a vector eld on a bounded Lipschitz domain in R 3 , and let ~ u together with its divergence and curl be square integrable. If either the normal or the tangential component of ~ u is square inte-grable over the boundary, then ~ u belongs to the Sobolev space H 1=2 on the domain. This result gives a simple explanation for known results on the compact embedding of the space of solution...

Journal: :Optimization Letters 2007
Yaroslav D. Sergeyev Dmitri E. Kvasov Falah M. H. Khalaf

Lipschitz one-dimensional constrained global optimization (GO) problems where both the objective function and constraints can be multiextremal and non-differentiable are considered in this paper. Problems, where the constraints are verified in an a priori given order fixed by the nature of the problem are studied. Moreover, if a constraint is not satisfied at a point, then the remaining constra...

Journal: :Combinatorics, Probability & Computing 2014
Robin Pemantle Yuval Peres

Let fX1; : : : ; Xng be a collection of binary valued random variables and let f : f0; 1g n ! R be a Lipschitz function. Under a negative dependence hypothesis known as the strong Rayleigh condition, we show that f Ef satis es a concentration inequality. The class of strong Rayleigh measures includes determinantal measures, weighted uniform matroids and exclusion measures; some familiar example...

2015
Rasmus Kyng Anup Rao Sushant Sachdeva Daniel A. Spielman

We develop fast algorithms for solving regression problems on graphs where one is given the value of a function at some vertices, and must find its smoothest possible extension to all vertices. The extension we compute is the absolutely minimal Lipschitz extension, and is the limit for large p of p-Laplacian regularization. We present an algorithm that computes a minimal Lipschitz extension in ...

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