Results 11 to 20 of about 33,386 (268)
TEMPERATURE DISTRIBUTION SIMULATION AND OPTIMIZATION DESIGN OF ELECTRIC HEATER FOR IN-SITU OIL SHALE HEATING; pp. 105–120 [PDF]
Oil Shale, 2014 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
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Rocky Mountain Journal of Mathematics, 2004 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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Los Libros de la Corte.es, 2017 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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BMC Health Services Research, 2020 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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Neighborhood filters and PDE’s [PDF]
Numerische Mathematik, 2006 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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A New Radial Basis Function Approach Based on Hermite Expansion with Respect to the Shape Parameter
Mathematics, 2019 Owing to its high accuracy, the radial basis function (RBF) is gaining popularity in function interpolation and for solving partial differential equations (PDEs).
Saleh Abobakur Bawazeer +2 more
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PDE-Net: Learning PDEs from Data
CoRR, 2017 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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Image smoothing via adaptive fourth-order partial differential equation model
The Journal of Engineering, 2019 To overcome the staircase effects and simultaneously avoid edge blurring, here the authors proposed a novel algorithm of adaptive fourth-order partial differential equation (PDE) for image smoothing.
Na Wang +5 more
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Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE)
Physical Review Research, 2022 Partial differential equations (PDEs) are concise and understandable representations of domain knowledge, which are essential for deepening our understanding of physical processes and predicting future responses.
Yuntian Chen +4 more
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