Kernel interpolation converges with rate ε^θ for targets in interpolation spaces between the RKHS and the image of the adjoint of an embedding, continuously interpolating between classical and doubled rates.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
General superconvergence for kernel-based approximation
Kernel interpolation converges with rate ε^θ for targets in interpolation spaces between the RKHS and the image of the adjoint of an embedding, continuously interpolating between classical and doubled rates.