Minimal residual methods augmented with eigenvectors for solving Sylvester equations and generalized Sylvester equations.
Yiqin LinPublished in: Appl. Math. Comput. (2006)
Keyphrases
- linear equations
- gauss seidel method
- significant improvement
- eigenvalue problems
- computational cost
- mathematical model
- numerical methods
- spectral clustering
- empirical studies
- constraint satisfaction problems
- benchmark datasets
- data sets
- statistical methods
- high dimensional
- numerical solution
- pairwise
- nonlinear equations
- algebraic equations
- reinforcement learning
- machine learning