Results 21 to 30 of about 172,487 (303)

On a Singular Robin Problem with Convection Terms

open access: yesAdvanced Nonlinear Studies, 2020
In this paper, the existence of smooth positive solutions to a Robin boundary-value problem with non-homogeneous differential operator and reaction given by a nonlinear convection term plus a singular one is established.
Guarnotta Umberto   +2 more
doaj   +1 more source

Diffusion MRI with free gradient waveforms on a high-performance gradient system: Probing restriction and exchange in the human brain

open access: yesNeuroImage, 2023
The dependence of the diffusion MRI signal on the diffusion time carries signatures of restricted diffusion and exchange. Here we seek to highlight these signatures in the human brain by performing experiments using free gradient waveforms designed to be
Arthur Chakwizira   +5 more
doaj   +1 more source

Semilinear Elliptic Systems with Dependence on the Gradient [PDF]

open access: yesMediterranean Journal of Mathematics, 2018
We provide results on the existence, non-existence, multiplicity, and localization of positive radial solutions for semilinear elliptic systems with Dirichlet or Robin boundary conditions on an annulus. Our approach is topological and relies on the classical fixed point index. We present an example to illustrate our theory.
F. Cianciaruso, P. Pietramala
openaire   +3 more sources

Polarization-dependent tunneling of light in gradient optics [PDF]

open access: yesPhysical Review E, 2007
Reflection-refraction properties of photonic barriers, formed by dielectric gradient nanofilms, for inclined incidence of both S- and P-polarized electromagnetic (EM) waves are examined by means of exactly solvable models. We present generalized Fresnel formulae, describing the influence of the non-local dispersion on reflectance and transmittance of ...
Vladimir Kuzmiak   +2 more
openaire   +4 more sources

A Liouville-Type Theorem for an Elliptic Equation with Superquadratic Growth in the Gradient

open access: yesAdvanced Nonlinear Studies, 2020
We consider the elliptic equation -Δ⁢u=uq⁢|∇⁡u|p{-\Delta u=u^{q}|\nabla u|^{p}} in ℝn{\mathbb{R}^{n}} for any p>2{p>2} and q>0{q>0}. We prove a Liouville-type theorem, which asserts that any positive bounded solution is constant.
Filippucci Roberta   +2 more
doaj   +1 more source

Quasilinear equations with dependence on the gradient

open access: yesNonlinear Analysis: Theory, Methods & Applications, 2009
Abstract We discuss the existence of positive solutions of the problem − ( q ( t ) φ ( u ′ ( t ) ) ) ′ = f ( t , u ( t ) , u ′ ( t ) )  for  t ∈ ( 0 , 1 )  and  u ( 0 ) = u ( 1 ) = 0 , where the nonlinearity f satisfies a superlinearity condition at 0 ...
Pedro Ubilla   +3 more
openaire   +4 more sources

Confirming the Unusual Temperature Dependence of the Electric-Field Gradient in Zn

open access: yesCrystals, 2022
The electric-field gradient (EFG) at nuclei in solids is a sensitive probe of the charge distribution. Experimental data, which previously only existed in insulators, have been available for metals with the development of nuclear measuring techniques ...
Heinz Haas   +9 more
doaj   +1 more source

Pressure-dependence of the aortic valve gradient

open access: yesJournal of the American College of Cardiology, 1998
Dipendenza lineare el gradiente transaortico dalla pressione sistolica aortica e dalle resistenze ...
LEONI, LOIRA   +6 more
openaire   +3 more sources

On periodic elliptic equations with gradient dependence

open access: yesCommunications on Pure & Applied Analysis, 2008
We construct entire solutions of $\Delta u=f(x,u,\nabla u)$ which are superpositions of odd, periodic functions and linear ones, with prescribed integer or rational slope.
Berti, M., Matzeu, M., Valdinoci, E.
openaire   +5 more sources

Training Neural Networks by Time-Fractional Gradient Descent

open access: yesAxioms, 2022
Motivated by the weighted averaging method for training neural networks, we study the time-fractional gradient descent (TFGD) method based on the time-fractional gradient flow and explore the influence of memory dependence on neural network training. The
Jingyi Xie, Sirui Li
doaj   +1 more source

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