Results 11 to 20 of about 147,641 (269)

Interpolative fusions [PDF]

open access: yesJournal of Mathematical Logic, 2020
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
openaire   +3 more sources

NC Machining of Free- From Blanking Dies Cavities Using Linear Interpolation [PDF]

open access: yesEngineering and Technology Journal, 2005
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.
doaj   +1 more source

A numerical algorithm for constructing polynomials deviating least from zero with a given weight

open access: yesSt. Petersburg Polytechnical University Journal: Physics and Mathematics, 2023
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
doaj   +1 more source

Decomposition of Gaussian processes, and factorization of positive definite kernels [PDF]

open access: yesOpuscula Mathematica, 2019
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
doaj   +1 more source

Quasi-interpolations with interpolation property

open access: yesJournal of Computational and Applied Mathematics, 2004
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
openaire   +1 more source

A New Approach to General Interpolation Formulae for Bivariate Interpolation

open access: yesAbstract and Applied Analysis, 2014
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
doaj   +1 more source

Accurate Imputation of Greenhouse Environment Data for Data Integrity Utilizing Two-Dimensional Convolutional Neural Networks

open access: yesSensors, 2021
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
doaj   +1 more source

Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]

open access: yesجغرافیا و مخاطرات محیطی, 2018
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
doaj   +1 more source

Evaluation of Multiple Methods for the Production of Continuous Evapotranspiration Estimates from TIR Remote Sensing

open access: yesRemote Sensing, 2021
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
doaj   +1 more source

EDISON: An Edge-Native Method and Architecture for Distributed Interpolation

open access: yesSensors, 2021
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
doaj   +1 more source

Home - About - Disclaimer - Privacy