Results 21 to 30 of about 3,703,082 (328)

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 ...
Shvartsburg, Alexander   +2 more
openaire   +3 more sources

Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains [PDF]

open access: yes, 2018
We consider the minimization of an objective function given access to unbiased estimates of its gradient through stochastic gradient descent (SGD) with constant step-size. While the detailed analysis was only performed for quadratic functions, we provide
Bach, Francis   +2 more
core   +3 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

Non-local gradient dependent operators

open access: yesAdvances in Mathematics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bjorland, C.   +2 more
openaire   +1 more source

Impurity transport in temperature gradient driven turbulence [PDF]

open access: yes, 2011
In the present paper the transport of impurities driven by trapped electron (TE) mode turbulence is studied. Non-linear (NL) gyrokinetic simulations using the code GENE are compared with results from quasilinear (QL) gyrokinetic simulations and a ...
A. Skyman   +3 more
core   +2 more sources

Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees [PDF]

open access: yesInternational Conference on Machine Learning, 2023
Gradient clipping is a popular modification to standard (stochastic) gradient descent, at every iteration limiting the gradient norm to a certain value $c>0$.
Anastasia Koloskova   +2 more
semanticscholar   +1 more source

Density-dependence tips the change of plant–plant interactions under environmental stress

open access: yesNature Communications, 2020
Density-dependence is rarely accounted for in plant-plant facilitation studies. Here the authors develop a framework that incorporates density-dependence in the stress-gradient hypothesis, and test it first through modeling and then empirically on ...
Ruichang Zhang, Katja Tielbörger
doaj   +1 more source

Robin problems for the p-Laplacian with gradient dependence

open access: yesDiscrete and Continuous Dynamical Systems. Series A, 2019
We consider a nonlinear elliptic equation with Robin boundary condition driven by the p-Laplacian and with a reaction term which depends also on the gradient.
G. Fragnelli   +2 more
semanticscholar   +1 more source

An isogeometric analysis approach to gradient‐dependent plasticity [PDF]

open access: yesInternational Journal for Numerical Methods in Engineering, 2017
SummaryGradient‐dependent plasticity can be used to achieve mesh‐objective results upon loss of well‐posedness of the initial/boundary value problem because of the introduction of strain softening, non‐associated flow, and geometric nonlinearity.
Kolo, I., de Borst, R.
openaire   +3 more sources

Nonlinear Elliptic Inclusions with Unilateral Constraint and Dependence on the Gradient [PDF]

open access: yes, 2018
We consider a nonlinear Neumann elliptic inclusion with a source (reaction term) consisting of a convex subdifferential plus a multivalued term depending on the gradient.
Nikolaos S. Papageorgiou   +2 more
semanticscholar   +1 more source

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