On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: a Riemannian optimization interpretation.
Shixin ZhengHaizhao YangXiangxiong ZhangPublished in: CoRR (2023)
Keyphrases
- conjugate gradient method
- positive definite
- convergence property
- singular values
- covariance matrix
- conjugate gradient
- symmetric positive definite
- singular value decomposition
- convergence rate
- iterative methods
- objective function
- faster convergence
- kernel matrix
- covariance matrices
- geometric structure
- shape analysis
- iterative algorithms
- kernel function
- euclidean space
- loss function