Results 91 to 100 of about 4,102,538 (267)

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu, Ruoxiao Liu, Wenxin Li, Zhenming Su, Long Jin   +4 more
wiley   +1 more source

Total Positivity: an application to positive linear operators and to their limiting semigroups

Journal of Numerical Analysis and Approximation Theory, 2007
Some shape-preserving properties of positive linear operators, involving higher order convexity and Lipschitz classes, are investigated from the point of view of weak Tchebycheff systems and total positivity in the sense of Karlin [8].
Antonio Attalienti, Ioan Raşa
doaj   +2 more sources

The theory of prime ends and spatial mappings [PDF]

, 2015
It is given a canonical representation of prime ends in regular spatial domains and, on this basis, it is studied the boundary behavior of the so-called lower Q-homeomorphisms that are the natural generalization of the quasiconformal mappings.
Kovtonyuk, Denis, Ryazanov, Vladimir
core  

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, Florine Hartwig, Josua Sassen, Sergio Conti, Mirela Ben‐Chen, Martin Rumpf   +5 more
wiley   +1 more source

Optimization Based Methods for Solving the Equilibrium Problems with Applications in Variational Inequality Problems and Solution of Nash Equilibrium Models

Mathematics, 2020
In this paper, we propose two modified two-step proximal methods that are formed through the proximal-like mapping and inertial effect for solving two classes of equilibrium problems.
Habib ur Rehman, Poom Kumam, Ioannis K. Argyros, Meshal Shutaywi, Zahir Shah   +4 more
doaj   +1 more source

Operator-Lipschitz functions in Schatten–von Neumann classes

Acta Mathematica, 2011
This paper resolves a number of conjectures in the perturbation theory of linear operators. Namely, we prove that every Lipschitz function is operator Lipschitz in the Schatten-von Neumann ideals $S^ $, $1 < < \infty$. The negative result for $S^ $, $ = 1, \infty$ was earlier established by Yu. Farforovskaya in 1972.
Potapov, Denis, Sukochev, Fedor
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, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +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, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

A Unified Framework for Generalized Symmetric Contractions and Economic Dynamics via Fractional Differential Equations

Fractal and Fractional
This study has developed a unified framework for modeling economic growth through Caputo fractional differential equations. The framework has established the existence and uniqueness of solutions by employing a generalized fixed-point approach.
Min Wang, Muhammad Din, Mi Zhou
doaj   +1 more source