Results 11 to 20 of about 147,641 (269)
We define the interpolative fusion [Formula: see text] of a family [Formula: see text] of first-order theories over a common reduct [Formula: see text], a notion that generalizes many examples of random or generic structures in the model-theoretic literature. When each [Formula: see text] is model-complete, [Formula: see text] coincides with the model
Alex Kruckman +2 more
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NC Machining of Free- From Blanking Dies Cavities Using Linear Interpolation [PDF]
This paper presents an analytical study on the path command eneration for linear interpolation of blanking dies cavities defined by free form closed curves. These curves are highly used in mechanical applications like dies, cams, molds, etc.
H J.
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A numerical algorithm for constructing polynomials deviating least from zero with a given weight
The article considers numerical algorithms for determining the coefficients of polynomials with a fixed leading coefficient, the algorithms supplying a minimum deviation from zero in a minimax norm with a given weight function. The polynomials serve as a
Berdnikov Alexander, Solovyev Konstantin
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Decomposition of Gaussian processes, and factorization of positive definite kernels [PDF]
We establish a duality for two factorization questions, one for general positive definite (p.d.) kernels \(K\), and the other for Gaussian processes, say \(V\). The latter notion, for Gaussian processes is stated via Ito-integration.
Palle Jorgensen, Feng Tian
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Quasi-interpolations with interpolation property
Let \(\Omega \subset \mathbb R^s\) and \(B(\Omega)\) be the set consisting in all bounded functions over \(\Omega\). Let \(T:B(\Omega) \to B(\Omega)\) be a linear operator and \(X=\{ x_1,\ldots,x_r \}\) a set of points. \(T\) is called a linear operator with interpolation property (A) if \((Tf)(x_j)=f(x_j)\) for any \(f \in B(\Omega)\) and \(j=1,\ldots,
Wang, Ren-Hong, Wang, Jing-Xin
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A New Approach to General Interpolation Formulae for Bivariate Interpolation
General interpolation formulae for bivariate interpolation are established by introducing multiple parameters, which are extensions and improvements of those studied by Tan and Fang.
Le Zou, Shuo Tang
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Greenhouses require accurate and reliable data to interpret the microclimate and maximize resource use efficiency. However, greenhouse conditions are harsh for electrical sensors collecting environmental data.
Taewon Moon, Joon Woo Lee, Jung Eek Son
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Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]
Providing climatic data like temperature in good spatial resolution is a key requirement for many geographical, ecological and bioclimatic research. With this in mind, various related studies use thermal remote sensing images as auxiliary data to enhance
مسعود مینائی
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Continuous daily estimates of evapotranspiration (ET) spatially distributed at plot scale are required to monitor the water loss and manage crop irrigation needs.
Emilie Delogu +4 more
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EDISON: An Edge-Native Method and Architecture for Distributed Interpolation
Spatio-temporal interpolation provides estimates of observations in unobserved locations and time slots. In smart cities, interpolation helps to provide a fine-grained contextual and situational understanding of the urban environment, in terms of both ...
Lauri Lovén +7 more
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