Results 71 to 80 of about 2,945,859 (241)

Anisotropic (p, q)-equations with gradient dependent reaction

open access: yesNonlinearity, 2021
Abstract We consider a Dirichlet problem driven by the anisotropic (p, q)-Laplacian and a reaction with gradient dependence (convection). The presence of the gradient in the source term excludes from consideration a variational approach in dealing with the qualitative analysis of this problem with unbalanced growth.
Vicenţiu D. Rădulescu   +3 more
openaire   +5 more sources

Systems of quasilinear elliptic equations with dependence on the gradient via subsolution-supersolution method

open access: yes, 2017
For the homogeneous Dirichlet problem involving a system of equations driven by \begin{document}$(p,q)$\end{document} -Laplacian operators and general gradient dependence we prove the existence of solutions in the ordered rectangle determined by a ...
D. Motreanu, C. Vetro, F. Vetro
semanticscholar   +1 more source

Scale-Dependent Definitions of Gradient and Aspect and their Computation [PDF]

open access: yes, 2006
In order to compute lines of constant gradient and areas of constant aspect on a terrain, we introduce the notion of scale dependent local gradient and aspect for a neighborhood around each point of a terrain. We present three definitions for local gradient and aspect, and give efficient algorithms to compute them.
Iris Reinbacher   +2 more
openaire   +3 more sources

The mixed problem in the theory of strain gradient thermoelasticity approached with the Lagrange identity

open access: yesBoundary Value Problems, 2020
In our paper we address the thermoelasticity theory of the strain gradient. First, we define the mixed problem with initial and boundary data in this context.
Marin Marin, Sorin Vlase, Ioan Tuns
doaj   +1 more source

Variability in the Sea Surface Temperature Gradient and Its Impacts on Chlorophyll-a Concentration in the Kuroshio Extension

open access: yesRemote Sensing, 2021
Sixteen years of satellite observational data in the Northwestern Pacific Ocean are used to describe the variability in the sea surface temperature (SST) gradient and its impact on chlorophyll-a concentrations (Chl-a).
Yuntao Wang, Rui Tang, Yi Yu, Fei Ji
doaj   +1 more source

Resonant optical gradient force interaction for nano-imaging and -spectroscopy

open access: yesNew Journal of Physics, 2016
The optical gradient force provides optomechanical interactions, for particle trapping and manipulation, as well as for near-field optical imaging in scanning probe microscopy.
Honghua U Yang, Markus B Raschke
doaj   +1 more source

Models for vertical wood density of Scots pine, Norway spruce and birch stems, and their application to determine average wood density

open access: yesSilva Fennica, 2006
The purpose of this study was to investigate the vertical dependence of the basic density of Scots pine, Norway spruce, and birch stems, and how such dependence could be applied for determining the average stem wood density.
Repola, Jaakko
doaj   +1 more source

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors [PDF]

open access: yesarXiv, 2023
Decision-based methods have shown to be effective in black-box adversarial attacks, as they can obtain satisfactory performance and only require to access the final model prediction. Gradient estimation is a critical step in black-box adversarial attacks, as it will directly affect the query efficiency.
arxiv  

Modelling of Dictyostelium Discoideum Movement in Linear Gradient of Chemoattractant [PDF]

open access: yesSoft Matter,Vol. 13, pp. 8209-8222 (2017), 2018
Chemotaxis is a ubiquitous biological phenomenon in which cells detect a spatial gradient of chemoattractant, and then move towards the source. Here we present a position-dependent advection-diffusion model that quantitatively describes the statistical features of the chemotactic motion of the social amoeba {\it Dictyostelium discoideum} in a linear ...
arxiv   +1 more source

On the stability of the stochastic gradient Langevin algorithm with dependent data stream [PDF]

open access: yesarXiv, 2021
We prove, under mild conditions, that the stochastic gradient Langevin dynamics converges to a limiting law as time tends to infinity, even in the case where the driving data sequence is dependent.
arxiv  

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