The least squares solution of a class of generalized Sylvester-transpose matrix equations with the norm inequality constraint.
Baohua HuangChangfeng MaPublished in: J. Glob. Optim. (2019)
Keyphrases
- least squares
- linear equations
- minimum norm
- tikhonov regularization
- set of linear equations
- linear complementarity problem
- nonlinear equations
- eigenvalue decomposition
- polynomial equations
- mathematical model
- eigenvalue problems
- constrained minimization
- image restoration
- convex functions
- linear least squares
- singular value decomposition
- newly defined
- trace norm
- integer programming