Results 71 to 80 of about 2,479 (310)

The Transmutation Method and Boundary-Value Problems for Singular Elliptic Equations

open access: yesСовременная математика: Фундаментальные направления, 2018
The main content of this book is composed from two doctoral theses: by V. V. Katrakhov (1989) and by S. M. Sitnik (2016). In our work, for the first time in the format of a monograph, we systematically expound the theory of transmutation operators and ...
Valeriy V Katrakhov, Sergey M Sitnik
doaj   +1 more source

An Optimal Finite Element Method with Uzawa Iteration for Stokes Equations including Corner Singularities

open access: yesJournal of Mathematics, 2021
The Uzawa method is an iterative approach to find approximated solutions to the Stokes equations. This method solves velocity variables involving augmented Lagrangian operator and then updates pressure variable by Richardson update.
Jae-Hong Pyo, Deok-Kyu Jang
doaj   +1 more source

Spike-layers in semilinear elliptic singular Perturbation Problems [PDF]

open access: yes, 1992
Ni, Wei-Ming; Takagi, Izumi. (1992). Spike-layers in semilinear elliptic singular Perturbation Problems.
Takagi, Izumi   +3 more
core   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

Eigenvalue problems for a class of singular quasilinear elliptic equations in weighted spaces

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2012
In this paper, by using the Galerkin method and the generalized Brouwer's theorem, some problems of the higher eigenvalues are studied for a class of singular quasiliner elliptic equations in the weighted Sobolev spaces.
Gao Jia, Mei-ling Zhao, Fang-lan Li
doaj   +1 more source

Singular elliptic problems with lack of compactness [PDF]

open access: yesAnnali di Matematica Pura ed Applicata, 2005
We consider the following nonlinear singular elliptic equation $$-{div} (|x|^{-2a}\nabla u)=K(x)|x|^{-bp}|u|^{p-2}u+\la g(x) \quad{in} \RR^N,$$ where $g$ belongs to an appropriate weighted Sobolev space, and $p$ denotes the Caffarelli-Kohn-Nirenberg critical exponent associated to $a$, $b$, and $N$.
Ghergu, Marius, Rădulescu, Vicentiu
openaire   +2 more sources

Processing‐Centric Innovative Strategies for Protonic Ceramic Electrochemical Cells

open access: yesAdvanced Energy Materials, EarlyView.
This review reveals how processing‐centric fabrication strategies govern architecture, microstructure, and interfaces in protonic ceramic electrochemical cells (PCECs), establishing a framework that translates materials innovation into scalable PCEC technologies.
Dongyeon Kim   +5 more
wiley   +1 more source

Elliptic perturbations for Hammerstein equations with singular nonlinear term

open access: yesElectronic Journal of Differential Equations, 2006
We consider a singular elliptic perturbation of a Hammerstein integral equation with singular nonlinear term at the origin. The compactness of the solutions to the perturbed problem and, hence, the existence of a positive solution for the ...
Giuseppe Maria Coclite   +1 more
doaj  

A note on the polynomial approximation of vertex singularities in the boundary element method in three dimensions [PDF]

open access: yes, 2008
We study polynomial approximations of vertex singularities of the type $r^\lambda |\log r|^\beta$ on three-dimensional surfaces. The analysis focuses on the case when $\lambda > -\frac 12$.
Bespalov, A, Bespalov, Alexei
core   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Home - About - Disclaimer - Privacy