On nonsymmetric saddle point matrices that allow conjugate gradient iterations.
Jörg LiesenBeresford N. ParlettPublished in: Numerische Mathematik (2008)
Keyphrases
- conjugate gradient
- saddle point
- primal dual
- convergence rate
- variational inequalities
- interior point
- linear programming
- reproducing kernel hilbert space
- singular value decomposition
- approximation algorithms
- linear programming problems
- neural network
- semidefinite programming
- linear program
- special case
- artificial neural networks
- support vector
- image segmentation