Results 21 to 30 of about 3,790,217 (289)
Hajłasz gradients are upper gradients
Journal of Mathematical Analysis and Applications, 2015 10 ...
Jiang, Renjin +3 more
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Method selection of microseismic studies depending on the problem being solved
Georesursy, 2018 The article compares two methods of microseismic studies of the maximum likelihood method and the Keipon method for detecting the position of microseismic event when observed from the surface in the conditions of the developed deposit or by monitoring ...
E.V. Biryaltsev, M.R. Kamilov
doaj +1 more source
Second harmonic generation on self-assembled GaAs/Au nanowires with thickness gradient [PDF]
, 2017 Here we investigated the SH generation at the wavelength of 400 nm (pump laser at 800 nm, 120 fs pulses) of a "metasurface" composed by an alternation of GaAs nano-grooves and Au nanowires capping portions of flat GaAs.
Belardini, A. +7 more
core +1 more source
ACM SIGGRAPH 2008 classes, 2008 A new method for improving the accuracy of a diffuse interreflection calculation is introduced in a ray tracing context. The information from a hemispherical sampling of the luminous environment is interpreted in a new way to predict the change in irradiance as a function of position and surface orientation.
Ward, Gregory J., Heckbert, Paul S.
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Dermal exposure to toluene diisocyanate and respiratory cancer risk
Environment International, 2017 Human exposure to toluene diisocyanate (TDI) occurs mainly through inhalation of vapors in occupational settings where TDI is produced or used, but dermal exposure to TDI is also possible during some operations.
Robyn L. Prueitt +4 more
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Exponentiated Gradient Meets Gradient Descent
CoRR, 2019 The (stochastic) gradient descent and the multiplicative update method are probably the most popular algorithms in machine learning. We introduce and study a new regularization which provides a unification of the additive and multiplicative updates.
Udaya Ghai, Elad Hazan, Yoram Singer
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Frequency Analysis of Gradient Estimators in Volume Rendering [PDF]
, 1995 Gradient information is used in volume rendering to classify and color samples along a ray. In this paper, we present an analysis of the theoretically ideal gradient estimator and compare it to some commonly used gradient estimators.
Bentum, Mark J. +2 more
core +4 more sources
Stochastic Gradient MCMC with Stale Gradients
CoRR, 2016 Stochastic gradient MCMC (SG-MCMC) has played an important role in large-scale Bayesian learning, with well-developed theoretical convergence properties. In such applications of SG-MCMC, it is becoming increasingly popular to employ distributed systems, where stochastic gradients are computed based on some outdated parameters, yielding what are termed ...
Changyou Chen +4 more
openaire +3 more sources
Performance study of multi-fidelity gradient enhanced kriging [PDF]
, 2014 Multi-fidelity surrogate modelling offers an efficient way to approximate computationally expensive simulations. In particular, Kriging-based surrogate models are popular for approximating deterministic data.
Couckuyt, Ivo +4 more
core +2 more sources
A Stable Chemokine Gradient Controls Directional Persistence of Migrating Dendritic Cells
Frontiers in Cell and Developmental Biology, 2022 Navigation of dendritic cells (DCs) from the site of infection to lymphoid organs is guided by concentration gradients of CCR7 ligands. How cells interpret chemokine gradients and how they couple directional sensing to polarization and persistent ...
Thomas Quast +7 more
doaj +1 more source