Results 31 to 40 of about 3,741,721 (286)
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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Frontiers in Sports and Active Living, 2021 The aim of this study was to investigate the influence of slope and speed on lower-limb kinematics and energy cost of running. Six well-trained runners (VO2max 72 ± 6 mL·kg−1·min−1) were recruited for the study and performed (1) VO2max and energy cost ...
David Sundström +2 more
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Gradient Convergence in Gradient methods with Errors [PDF]
SIAM Journal on Optimization, 2000 Summary: We consider the gradient method \(x_{t+1}=x_t+\gamma_t(s_t+w_t)\), where \(s_t\) is a descent direction of a function \(f:{\mathfrak R}^n\to{\mathfrak R}\) and \(w_t\) is a deterministic or stochastic error. We assume that \(\nabla f\) is Lipschitz continuous, that the stepsize \(\gamma_t\) diminishes to 0, and that \(s_t\) and \(w_t\) satisfy
Bertsekas, Dimitri P. +1 more
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The Journal of Cell Biology, 2005 One RanGTP gradient builds on another to spatially guide mitotic spindle assembly, say Maiwen Caudron, Eric Karsenti (European Molecular Biology Laboratory, Heidelberg, Germany), and colleagues. Figure The RanGTP-importin β gradient (red) promotes microtubule nucleation (blue) and stabilization (green).
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Gradient Correction beyond Gradient Descent
, 2022 The great success neural networks have achieved is inseparable from the application of gradient-descent (GD) algorithms. Based on GD, many variant algorithms have emerged to improve the GD optimization process. The gradient for back-propagation is apparently the most crucial aspect for the training of a neural network.
Li, Zefan +4 more
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Fractal and Fractional, 2023 The composition H(z)=f(Φ(z)) is studied, where f is an entire function of a single complex variable and Φ is an entire function of n complex variables with a vanished gradient.
Andriy Bandura +2 more
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On gradient field theories: gradient magnetostatics and gradient elasticity [PDF]
Philosophical Magazine, 2014 40 pages, to appear in: Philosophical ...
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Talc, ovarian cancer, and recall bias in the sister study
Global EpidemiologyO'Brien et al. [6] reported on the patterns and reliability of self-reported talc use in the Sister Study, a US-based prospective cohort study of women aged 35–74 who had a sister with a history of breast cancer.
Julie E. Goodman +2 more
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On applicability of mathematical scaling and normalization in applied problem solving
Advanced Engineering Research, 2018 Introduction. The applicability of mathematical scaling and normalization in solving various applied problems is analyzed. The best known formulas often used along the theoretical and experimental studies are considered.
A. I. Dolgov, D. V. Marshakov
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Wetting of Flat Gradient Surfaces
, 2018 Gradient, chemically modified, flat surfaces enable directed transport of droplets. Calculation of apparent contact angles inherent for gradient surfaces is challenging even for atomically flat ones.
Bormashenko, Edward
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