Reproducing kernel method for solving singularly perturbed differential-difference equations with boundary layer behavior in Hilbert space.
Hussein SahihiSaeid AbbasbandyTofigh AllahviranlooPublished in: J. Comput. Appl. Math. (2018)
Keyphrases
- reproducing kernel
- hilbert space
- kernel methods
- reproducing kernel hilbert space
- kernel function
- von neumann
- infinite dimensional
- finite dimensional
- euclidean space
- multivariate time series
- numerical solution
- convex sets
- continuous functions
- scale spaces
- support vector
- machine learning
- feature maps
- kernel matrix
- kernel principal component analysis
- domain adaptation
- learning theory
- input space
- feature space
- reinforcement learning
- feature extraction