-regular splitting iterative methods for non-Hermitian positive semidefinite linear systems.
Zhen ChaoNaimin ZhangPan ShenPublished in: Int. J. Comput. Math. (2013)
Keyphrases
- linear systems
- iterative methods
- positive semidefinite
- semidefinite programming
- semidefinite
- sufficient conditions
- similarity function
- linear combination
- dynamical systems
- kernel matrix
- computationally expensive
- metric learning
- kernel function
- constrained optimization
- kernel methods
- interior point methods
- learning algorithm
- iterative algorithms
- low rank
- basis functions
- distance function
- image restoration
- model selection
- particle swarm optimization
- artificial neural networks