Results 81 to 90 of about 1,833 (248)
Lipschitz estimates for convex functions with respect to vector fields
Bruno Pini Mathematical Analysis Seminar, 2012 We present Lipschitz continuity estimates for a class of convex functions with respect to Hörmander vector fields. These results have been recently obtained in collaboration with M. Scienza, [22].
Valentino Magnani
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Lipschitz Continuity of the Minimizers
, 2022 AbstractIn this section, we will prove that the local minimizers of $$\mathcal F_\Lambda $$ ℱ Λ are Lipschitz continuous. Our main result is the following.
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv +3 more
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Exponential Attractor for Lattice System of Nonlinear Boussinesq Equation
Discrete Dynamics in Nature and Society, 2013 We study the lattice dynamical system of a nonlinear Boussinesq equation. We first verify the Lipschitz continuity of the continuous semigroup associated with the system.
Min Zhao, Shengfan Zhou
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Continuous Interpolation of Solutions of Lipschitz Inclusions
Journal of Mathematical Analysis and Applications, 2001 Let \(F\) be a set-valued map defined on \([0,T]\times \mathbb{R}^{n}\) and taking values on closed and nonempty subsets of \(\mathbb{R}^{n}\). The authors show that if \(F\) is measurable in \(t\) and Lipschitzian continuous in \(x\), then for a given finite set of trajectories to the problem \[ \dot x(t)\in F(t,x), \quad x(0)=\xi, \tag{1} \] starting
Broucke, Mireille, Arapostathis, Ari
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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
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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
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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
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A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
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Lipschitz functions of continuous functions [PDF]
Pacific Journal of Mathematics, 1953 Marx, Imanuel, Piranian, George
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