Generalized Hermite interpolation via matrix-valued conditionally positive definite functions

By Francis J. Narcowich, Joseph D. Ward. 1994

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1. Luca Baldassarre
2. Robert Schaback
3. Alessandro Verri
4. Lorenzo Rosasco
5. Annalisa Barla
6. Holger Wendland
7. Bharath K. Sriperumbudur
8. Krikamol Muandet

Citations in the corpus

• Kernel techniques: From machine learning to meshless methods (2006, methodology): “In analogy to the methods of fundamental and particular solutions, there is a trick (Narcowich and Ward 1994a, Lowitzsch 2005) to generate kernel-based divergence-free trial spaces from smooth kernels, and curl-free trial spaces are also possible.”
• Multi-output learning via spectral filtering (2012, methodology): “The interested reader can refer to the works by Narcowich and Ward (1994), Lowitzsch (2005), Fuselier (2006) for further details on matrix-valued RBF and the properties of divergence-free and curl-free kernels.”