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Lipschitz functions

by Gerold Alsmeyer
"... ar ..."
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ALGORITHMIC ASPECTS OF LIPSCHITZ FUNCTIONS

by Cameron Freer, Bjørn Kjos-hanssen, André Nies, Frank Stephan
"... Abstract. We characterize the variation functions of computable Lipschitz functions. We show that a real z is computably random if and only if every computable Lipschitz function is differentiable at z. Furthermore, a real z is Schnorr random if and only if every Lipschitz function with L1-computabl ..."
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Abstract. We characterize the variation functions of computable Lipschitz functions. We show that a real z is computably random if and only if every computable Lipschitz function is differentiable at z. Furthermore, a real z is Schnorr random if and only if every Lipschitz function with L1

Approximation of Lipschitz functions by Lipschitz, . . .

by R. Fry, et al.
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BANDLIMITED LIPSCHITZ FUNCTIONS

by Yurii Lyubarskii, Joaquim Ortega-cerdà
"... Abstract. We study the space of bandlimited Lipschitz functions in one variable. In particular we provide a geometrical description of interpolating and sampling sequences for this space. We also give a description of the trace of such functions to sequences of critical density in terms of a cancell ..."
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Abstract. We study the space of bandlimited Lipschitz functions in one variable. In particular we provide a geometrical description of interpolating and sampling sequences for this space. We also give a description of the trace of such functions to sequences of critical density in terms of a

A rough Lipschitz Function

by Bernd Kirchheim, Paul F. X. Müller, Bernd Kirchheim, Paul F. X. Müller , 2002
"... A famous theorem of H. Lebesgue states that a Lipschitz function f: [0, 1] → R is differentiable at almost every point. Approximation by linear functions at the scale r is measured by βf(x, r) = inf a,b∈R ..."
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A famous theorem of H. Lebesgue states that a Lipschitz function f: [0, 1] → R is differentiable at almost every point. Approximation by linear functions at the scale r is measured by βf(x, r) = inf a,b∈R

Directional Derivatives Of Lipschitz Functions

by D. Preiss, L. Zajíček , 2000
"... Let f be a Lipschitz mapping of a separable Banach space X to a Banach space Y . We observe that the set of points at which f is differentiable in a spanning set of directions but not Gateaux differentiable is oe-directionally porous. Since Borel oe- directionally porous sets, in addition to bei ..."
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Let f be a Lipschitz mapping of a separable Banach space X to a Banach space Y . We observe that the set of points at which f is differentiable in a spanning set of directions but not Gateaux differentiable is oe-directionally porous. Since Borel oe- directionally porous sets, in addition

Distance-based classification with lipschitz functions

by Ulrike Von Luxburg, Olivier Bousquet, Kristin Bennett, Nicolò Cesa-bianchi - Journal of Machine Learning Research , 2003
"... The goal of this article is to develop a framework for large margin classification in metric spaces. We want to find a generalization of linear decision functions for metric spaces and define a corresponding notion of margin such that the decision function separates the training points with a large ..."
Abstract - Cited by 30 (2 self) - Add to MetaCart
margin. It will turn out that using Lipschitz functions as decision functions, the inverse of the Lipschitz constant can be interpreted as the size of a margin. In order to construct a clean mathematical setup we isometrically embed the given metric space into a Banach space and the space of Lipschitz

Essentially Strictly Differentiable Lipschitz Functions

by Jonathan M. Borwein, Warren B. Moors - J. FUNCTIONAL ANALYSIS , 1995
"... In this paper we address some of the most fundamental questions regarding the differentiability structure of locally Lipschitz functions defined on Banach spaces. For example, we examine the relationship between integrability, D-representability and strict differentiability. In addition to this, we ..."
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In this paper we address some of the most fundamental questions regarding the differentiability structure of locally Lipschitz functions defined on Banach spaces. For example, we examine the relationship between integrability, D-representability and strict differentiability. In addition to this, we

Parametric Optimization for the Lipschitz Function

by Ya. Lutbat, J. Enkhbayar, W. J. Hwang, R. Enkhbat
"... We consider the parametric minimization problem with a Lipschitz objective function. We propose an approach for solving the original problem in a finite number of steps in order to obtain a solution with a given accuraly. ..."
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We consider the parametric minimization problem with a Lipschitz objective function. We propose an approach for solving the original problem in a finite number of steps in order to obtain a solution with a given accuraly.

NONLINEAR ISOMORPHISMS OF LATTICES OF LIPSCHITZ FUNCTIONS

by Félix Cabello, Sánchez, Javier Cabello Sánchez, Communicated Kenneth, R. Davidson
"... Abstract. The paper contains a number of Banach–Stone type theorems for lattices of uniformly continuous and Lipschitz functions without any linearity assumption. Sample result: two complete metric spaces of finite diameter are Lipschitz homeomorphic if (and only if, of course) the corresponding lat ..."
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Abstract. The paper contains a number of Banach–Stone type theorems for lattices of uniformly continuous and Lipschitz functions without any linearity assumption. Sample result: two complete metric spaces of finite diameter are Lipschitz homeomorphic if (and only if, of course) the corresponding
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