Results 71 to 80 of about 48,981 (245)
Sufficient optimality conditions and duality for nonsmooth multiobjective optimization problems via higher order strong convexity [PDF]
Yugoslav Journal of Operations Research, 2017 In this paper, we define some new generalizations of strongly convex functions of order m for locally Lipschitz functions using Clarke subdifferential.
Upadhyay Balendu B. +2 more
doaj +1 more source
Embedding generalized Wiener classes into Lipschitz spaces [PDF]
Mathematical Inequalities & Applications, 2019 Summary: In this note, we give a necessary and sufficient condition for emedding the classes \(\Lambda BV^{(p_n\uparrow p)}\) into the generalized Lipschitz spaces \(H_q^{\omega}\) \((1 \leqslant q < p \leqslant \infty)\).
Moazami Goodarzi, Milad +2 more
openaire +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Computer Graphics Forum, EarlyView.We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
The double higher Lipschitz classes and the double Fourier series(二元高阶Lipschitz函数类和二重Fourier级数)
Zhejiang Daxue xuebao. Lixue ban, 2012 利用二元函数的(r，s)阶差分和二元连续模函数定义了二元周期函数的高阶Lipschitz函数类Λr, s(ω）和λr, s(ω），并且从函数Fourier级数的系数出发，在复数域内给出了函数属于二元周期函数类的充分条件，在实数域内给出了函数属于二元周期函数类的充要条件.
GUORu-qian(郭汝倩) +2 more
doaj +1 more source
On the Moduli of Lipschitz Homology Classes
The Journal of Geometric AnalysisAbstract We define a type of modulus $$\operatorname {dMod}_p$$ dMod p for Lipschitz surfaces based on $$L^p$$
Ilmari Kangasniemi, Eden Prywes
openaire +3 more sources
On Metric Choice in Dimension Reduction for Fréchet Regression
International Statistical Review, EarlyView.Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
Applied General Topology, 2016 The class of metric spaces (X,d) known as small-determined spaces, introduced by Garrido and Jaramillo, are properly defined by means of some type of real-valued Lipschitz functions on X.
Isabel Garrido, Ana S. Meroño
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Metric Spaces with Linear Extensions Preserving Lipschitz Condition
, 2005 We study a new bi-Lipschitz invariant \lambda(M) of a metric space M; its finiteness means that Lipschitz functions on an arbitrary subset of M can be linearly extended to functions on M whose Lipschitz constants are enlarged by a factor controlled by ...
Brudnyi, A., Brudnyi, Yu.
core +1 more source
A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
Generalized Differentiability of Continuous Functions
Fractal and Fractional, 2020 Many physical phenomena give rise to mathematical models in terms of fractal, non-differentiable functions. The paper introduces a broad generalization of the derivative in terms of the maximal modulus of continuity of the primitive function.
Dimiter Prodanov
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