GPU implementation of an incomplete Cholesky conjugate gradient solver for a FEM-generated system using full kernel consolidation.
André Kubagawa SatoThiago de Castro MartinsMarcos de Sales Guerra TsuzukiPublished in: Soft Comput. (2023)
Keyphrases
- conjugate gradient
- gpu implementation
- reproducing kernel hilbert space
- kernel machines
- training algorithm
- kernel matrix
- real time
- convergence rate
- kernel methods
- maximum likelihood estimation
- loss function
- kernel function
- faster convergence
- support vector
- feature tracking
- neural network
- levenberg marquardt
- learning theory
- positive definite
- image features
- support vector machine
- feature space
- semi supervised
- least squares
- distance measure
- computer vision
- maximum likelihood