Results 41 to 50 of about 1,276,641 (352)

A Quasi-Convex RKPM for 3D Steady-State Thermomechanical Coupling Problems

open access: yesMathematics
A meshless, quasi-convex reproducing kernel particle framework for three-dimensional steady-state thermomechanical coupling problems is presented in this paper.
Lin Zhang   +3 more
doaj   +1 more source

Solving a System of Linear Volterra Integral Equations Using the Modified Reproducing Kernel Method

open access: yesAbstract and Applied Analysis, 2013
A numerical technique based on reproducing kernel methods for the exact solution of linear Volterra integral equations system of the second kind is given.
Li-Hong Yang   +2 more
doaj   +1 more source

Total positivity and reproducing kernels [PDF]

open access: yesPacific Journal of Mathematics, 1974
In this paper we investigate the relationship between total positivity and reproducing kernels. We extend the notion of total positivity to domains in the complex plane. In doing so, we also give a geometrical interpretation to certain Wronskians of reproducing kernels. These geometrical quantities are connected to Gaussian curvatures of Kahler metrics
openaire   +2 more sources

On Hardy kernels as reproducing kernels

open access: yesCanadian Mathematical Bulletin, 2022
AbstractHardy kernels are a useful tool to define integral operators on Hilbertian spaces like $L^2(\mathbb R^+)$ or $H^2(\mathbb C^+)$ . These kernels entail an algebraic $L^1$ -structure which is used in this work to study the range spaces of those operators as reproducing kernel Hilbert spaces. We obtain their reproducing kernels, which in the $
openaire   +4 more sources

Piecewise reproducing kernel-based symmetric collocation approach for linear stationary singularly perturbed problems

open access: yesAIMS Mathematics, 2020
The aim of this paper is to develop an accurate symmetric collocation scheme for a class of linear stationary singular perturbation problems with two boundary layers.
F. Geng
semanticscholar   +1 more source

Asymptotically compatible reproducing kernel collocation and meshfree integration for nonlocal diffusion [PDF]

open access: yesSIAM Journal on Numerical Analysis, 2019
Reproducing kernel (RK) approximations are meshfree methods that construct shape functions from sets of scattered data. We present an asymptotically compatible (AC) RK collocation method for nonlocal diffusion models with Dirichlet boundary condition ...
Y. Leng   +3 more
semanticscholar   +1 more source

Approximate solution of nonlinear multi-point boundary value problem on the half-line

open access: yesMathematical Modelling and Analysis, 2012
In this work, we construct a novel weighted reproducing kernel space and give the expression of reproducing kernel function skillfully. Based on the orthogonal basis established in the reproducing kernel space, an efficient algorithm is provided to solve
Jing Niu, Ying Zhen Lin, Chi Ping Zhang
doaj   +1 more source

Reproducing kernel method for solving wiener-hopf equations of the second kind [PDF]

open access: yesJournal of Hyperstructures, 2016
This paper proposed a reproducing kernel method for solving Wiener-Hopf equations of the second kind. In order to eliminate the singularity of the equation, a transform is used.
Azizallah Alvandi   +2 more
doaj   +1 more source

Reproducing Kernel Kreĭn Spaces [PDF]

open access: yes, 2014
This chapter is an introduction to reproducing kernel Kre?in spaces and their interplay with operator valued Hermitian kernels. Existence and uniqueness properties are carefully reviewed. The approach used in this survey involves the more abstract, but very useful, concept of linearization or Kolmogorov decomposition, as well as the underlying concepts
openaire   +3 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

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