Results 261 to 270 of about 10,513 (300)
Fuzzy-fractional modeling of cholera disease using real outbreak data of angola in caputo-TFN framework. [PDF]
Fatima Q +5 more
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Generalized fractional modeling and optimal control of respiratory syncytial virus infections in Florida. [PDF]
Jajarmi A.
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A novel distributed gradient algorithm for composite constrained optimization over directed network. [PDF]
Ou M, Zhang H, Yan Z, Yang Z, Ran H.
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Extensions of Continuous and Lipschitz Functions
AbstractWe show a result slightly more general than the following. Let K be a compact Hausdorff space, F a closed subset of K, and d a lower semi-continuous metric on K. Then each continuous function ƒ on F which is Lipschitz in d admits a continuous extension on K which is Lipschitz in d. The extension has the same supremum norm and the same Lipschitz
Eva Matoušková
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Lipschitz property of harmonic function on graphs
This paper proves the local Lipschitz property for harmonic (or positive subharmonic) functions on graphs. An example is also obtained to show that the global Lipschitz property of harmonic function on graphs does not ...
Lifeng Xi
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Extension of lipschitz functions
A function satisfying a Lipschitz property on an arbitrary set S is extended to the whole space E preserving the Lipschitz condition. This extension is obtained by performing the infimal convolution of two functions associated with the data of the ...
Hiriart-Urruty, J.-B
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An Implicit Function Theorem for One-sided Lipschitz Mappings
Beyn W-J, Rieger J. An Implicit Function Theorem for One-sided Lipschitz Mappings. Set-Valued and Variational Analysis. 2011;19(3):343-359.Implicit function theorems are derived for nonlinear set valued equations that satisfy a relaxed one-sided ...
Wolf-Jürgen Beyn +2 more
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Lipschitz Functions and Ekeland’s Theorem
Journal of Optimization Theory and Applications, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gerald Beer, Jose Ceniceros
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Optimization Methods and Software, 2007
This paper describes a new approach to multivariate scattered data smoothing. It is assumed that the data are generated by a Lipschitz continuous function f, and include random noise to be filtered out. The proposed approach uses known, or estimated value of the Lipschitz constant of f, and forces the data to be consistent with the Lipschitz properties
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This paper describes a new approach to multivariate scattered data smoothing. It is assumed that the data are generated by a Lipschitz continuous function f, and include random noise to be filtered out. The proposed approach uses known, or estimated value of the Lipschitz constant of f, and forces the data to be consistent with the Lipschitz properties
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Lattice Lipschitz superposition operators on Banach function spaces
We analyse and characterise the notion of lattice Lipschitz operator (a class of superposition operators, diagonal Lipschitz maps) when defined between Banach function spaces.
Roger Arnau +2 more
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