Dimension independent data sets approximation and applications to classification
Abstract We revisit the classical kernel method of approximation/interpolation theory in a very specific context from the particular point of view of partial differential equations. The goal is to highlight the role of regularization by casting it in terms of actual smoothness of the interpolant obt...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-01-01
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| Series: | Advanced Modeling and Simulation in Engineering Sciences |
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| Online Access: | https://doi.org/10.1186/s40323-023-00256-w |