Results 21 to 30 of about 1,712,958 (251)
NeuroImage, 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
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Generalized Gradient Approximation Made Thermal [PDF]
, 2023 Using the methodology of conditional-probability density functional theory, and several mild assumptions, we calculate the temperature-dependence of the Perdew-Burke-Ernzerhof (PBE) generalized gradient approximation (GGA).
Kozlowski, John +2 more
core +1 more source
Gradient-Induced Dzyaloshinskii–Moriya Interaction
, 2022 The Dzyaloshinskii–Moriya interaction (DMI) that arises in the magnetic systems with broken inversion symmetry plays an essential role in topological spintronics.
Hongxin Yang +11 more
core +1 more source
Training Neural Networks by Time-Fractional Gradient Descent
Axioms, 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
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Pressure-dependence of the aortic valve gradient
Journal of the American College of Cardiology, 1998 Dipendenza lineare el gradiente transaortico dalla pressione sistolica aortica e dalle resistenze ...
LEONI, LOIRA +6 more
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Location of solutions for quasi-linear elliptic equations with general gradient dependence
Electronic Journal of Qualitative Theory of Differential Equations, 2017 Existence and location of solutions to a Dirichlet problem driven by $(p,q)$-Laplacian and containing a (convection) term fully depending on the solution and its gradient are established through the method of subsolution-supersolution.
Dumitru Motreanu, Elisabetta Tornatore
doaj +1 more source
Data-Dependent Stability of Stochastic Gradient Descent
CoRR, 2017 We establish a data-dependent notion of algorithmic stability for Stochastic Gradient Descent (SGD), and employ it to develop novel generalization bounds. This is in contrast to previous distribution-free algorithmic stability results for SGD which depend on the worst-case constants.
Kuzborskij, Ilja, Lampert, Christoph
openaire +4 more sources
Density-dependence tips the change of plant–plant interactions under environmental stress
Nature 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
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Quasilinear equations with dependence on the gradient
Nonlinear Analysis: Theory, Methods & Applications, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Figueiredo, Djairo G. +2 more
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Nonlinear nonhomogeneous Robin problems with dependence on the gradient
Boundary Value Problems, 2018 We consider a nonlinear elliptic equation driven by a nonhomogeneous partial differential operator with Robin boundary condition and a convection term.
Yunru Bai +2 more
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