Results 21 to 30 of about 292,655 (287)
SIAM Journal on Mathematics of Data Science, 2020 Given a set of snapshots from a temporal network we develop, analyze, and experimentally validate a so-called network interpolation scheme. Our method allows us to build a plausible, albeit random, sequence of graphs that transition between any two given graphs.
Thomas Reeves +2 more
openaire +2 more sources
SIAM Journal on Numerical Analysis, 2022 Matrices resulting from the discretization of a kernel function, e.g., in the context of integral equations or sampling probability distributions, can frequently be approximated by interpolation. In order to improve the efficiency, a multi-level approach can be employed that involves interpolating the kernel function and its approximations multiple ...
openaire +4 more sources
On Quantization Errors in Approximate and Sample Entropy
Entropy, 2021 Approximate and sample entropies are acclaimed tools for quantifying the regularity and unpredictability of time series. This paper analyses the causes of their inconsistencies.
Dragana Bajić, Nina Japundžić-Žigon
doaj +1 more source
NC Machining of Free- From Blanking Dies Cavities Using Linear Interpolation [PDF]
Engineering 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
Journal 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
Decomposition of Gaussian processes, and factorization of positive definite kernels [PDF]
Opuscula 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
Journal 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
Sensors, 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
A New Approach to General Interpolation Formulae for Bivariate Interpolation
Abstract 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
Cold Season’s Air Temperature Geostatistical Modeling: Considering the Landsat Thermal Band and Snow Cover Area [PDF]
جغرافیا 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