On the relaxed gradient-based iterative methods for the generalized coupled Sylvester-transpose matrix equations.
Baohua HuangChangfeng MaPublished in: J. Frankl. Inst. (2022)
Keyphrases
- iterative methods
- image reconstruction from projections
- computationally expensive
- constrained optimization
- eigenvalue problems
- iterative algorithms
- matrix inversion
- conjugate gradient method
- jacobian matrix
- mathematical model
- covariance matrix
- set of linear equations
- feature selection
- polynomial equations
- eigenvalue decomposition
- positive definite
- low rank
- experimental data
- computational model