Results 31 to 40 of about 157,480 (269)
Construction of parallel one-dimensional interpolators in C++
Вестник Дагестанского государственного технического университета: Технические наукиObjective. The purpose of this article is to research and develop interpolators in the C++ programming language, including linear, quadratic and cubic interpolators, as well as a one-dimensional RBF interpolator.
F. V. Abilova +2 more
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Infrastructures, 2020 Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coarser ...
Javier López Gómez +3 more
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Machine-Learning Methods on Noisy and Sparse Data
Mathematics, 2023 Experimental and computational data and field data obtained from measurements are often sparse and noisy. Consequently, interpolating unknown functions under these restrictions to provide accurate predictions is very challenging.
Konstantinos Poulinakis +3 more
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Benchmarking Regridding Libraries Used in Earth System Modelling
Mathematical and Computational Applications, 2022 Components of Earth system models (ESMs) usually use different numerical grids because of the different environments they represent. Therefore, a coupling field sent by a source model has to be regridded to be used by a target model.
Sophie Valcke +2 more
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Ising Model for Interpolation of Spatial Data on Regular Grids
Entropy, 2021 We apply the Ising model with nearest-neighbor correlations (INNC) in the problem of interpolation of spatially correlated data on regular grids. The correlations are captured by short-range interactions between “Ising spins”.
Milan Žukovič +1 more
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IEEE transactions on medical imaging, 2000 Based on the theory of approximation, this paper presents a unified analysis of interpolation and resampling techniques. An important issue is the choice of adequate basis functions. We show that, contrary to the common belief, those that perform best are not interpolating.
Thévenaz, P., Blu, T., Unser, M.
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Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation
Remote Sensing, 2019 From the recent developments of data-driven methods as a means to better exploit large-scale observation, simulation and reanalysis datasets for solving inverse problems, this study addresses the improvement of the reconstruction of higher-resolution Sea
Redouane Lguensat +6 more
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Dispersion Curve Interpolation Based on Kriging Method
Applied Sciences, 2023 Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
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AxiomsLet Λ⊆Rd be a discrete uniformly separated subset. In the unweighted case and p=2, Landau obtained the necessary conditions for sampling and interpolation of functions in Paley–Wiener space in terms of the upper and lower uniform densities of Λ.
Xuebo Zhai, Kai Wang, Heping Wang
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