A low cost and highly accurate technique for big data spatial-temporal interpolation

DOI10.1016/j.apnum.2020.03.009zbMath1444.65007OpenAlexW3010739090MaRDI QIDQ1986178

A. Daneshkhah, O. Chatrabgoun, A. Hosseinian-Far, R. Montasari, Mohsen Esmaeilbeigi

Publication date: 7 April 2020

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: http://nectar.northampton.ac.uk/12750/1/Esmaeilbeigi_Mohsen_etal_Elsevier_2020_A_Low_Cost_and_Highly_Accurate_Technique_for_Big_Data_Spatial_Temporal_Interpolation.pdf

zbMATH Keywords

radial basis functionsbig datalayer by layer interpolationspatial-temporal interpolation

Mathematics Subject Classification ID

Multidimensional problems (41A63) Approximation by other special function classes (41A30) Numerical radial basis function approximation (65D12)

Uses Software

• Matlab

Cites Work

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• Spherical interpolation using the partition of unity method: an efficient and flexible algorithm
• Norm estimates for the inverses of a general class of scattered-data radial-function interpolation matrices
• Bounds on multivariate polynomials and exponential error estimates for multiquadric interpolation
• Miscellaneous error bounds for multiquadric and related interpolators
• Hermite interpolation with radial basis functions on spheres
• Accuracy of radial basis function interpolation and derivative approximations on 1 D infinite grids
• Error estimates and condition numbers for radial basis function interpolation
• Spectral Approximation Orders of Radial Basis Function Interpolation on the Sobolev Space
• Spectral convergence of multiquadric interpolation
• Exponential convergence andH-c multiquadric collocation method for partial differential equations
• Scattered Data Approximation

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