Results 31 to 40 of about 116,861 (304)
TEMPERATURE DISTRIBUTION SIMULATION AND OPTIMIZATION DESIGN OF ELECTRIC HEATER FOR IN-SITU OIL SHALE HEATING; pp. 105–120 [PDF]
Electric heating is the main method of exploiting oil shale and electric heater is the key part of the heating element. In this paper, the temÂperature distribution of the electric heater was simulated by the Partial Differential Equation (PDE) of ...
YANG HAO +4 more
doaj +1 more source
Based on the first author's construction of hyperreal numbers and hyperfunctionals [Lect. Notes Pure Appl. Math. 238, 81--117, Dekker, New York (2004; Zbl 1094.46508)]. The present paper investigates solvability of linear first order Cauchy problems in a similar setting of generalized functions, the space of extrafunctions.
Burgin, Mark, Ralston, James
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Neighborhood filters and PDE’s [PDF]
Denoising images can be achieved by a spatial averaging of nearby pixels. However, although this method removes noise it creates blur. Hence, neighborhood filters are usually preferred. These filters perform an average of neighboring pixels, but only under the condition that their grey level is close enough to the one of the pixel in restoration.
Antoni Buades +2 more
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Elemento constitutivo da filosofia moral que embasou a política moderna e a expansão das Monarquias, a retórica sagrada reforçou o ideário humanista com a premência da utilidade do conhecimento e da universalidade dos sentimentos.
Maria Renata da Cruz Duran
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Optimization with PDE Constraints [PDF]
M. Hinze +3 more
semanticscholar +2 more sources
Scalability of high-performance PDE solvers [PDF]
Performance tests and analyses are critical to effective high-performance computing software development and are central components in the design and implementation of computational algorithms for achieving faster simulations on existing and future ...
P. Fischer +10 more
semanticscholar +1 more source
PDE-Net: Learning PDEs from Data
In this paper, we present an initial attempt to learn evolution PDEs from data. Inspired by the latest development of neural network designs in deep learning, we propose a new feed-forward deep network, called PDE-Net, to fulfill two objectives at the same time: to accurately predict dynamics of complex systems and to uncover the underlying hidden PDE ...
Zichao Long +3 more
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Adaptive event-triggered PDE control for load-moving cable systems
Motivated by lateral vibration suppression of a mining cable elevator, which is a load-moving cable system, where the load moves along a viscoelastic guideway whose stiffness and damping coefficients are unknown, we present event-triggered adaptive ...
Ji Wang, M. Krstić
semanticscholar +1 more source
PDE-Based Group Equivariant Convolutional Neural Networks [PDF]
We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE-solvers where geometrically meaningful PDE-coefficients become the layer’s trainable ...
B. Smets +3 more
semanticscholar +1 more source
Background Chronic diseases are the leading contributor to the excess morbidity and mortality burden experienced by Aboriginal and Torres Strait Islander (hereafter, respectfully, Indigenous) people, compared to their non-Indigenous counterparts.
Deborah A. Askew +8 more
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