Least squares solutions of quadratic inverse eigenvalue problem with partially bisymmetric matrices under prescribed submatrix constraints.
Masoud HajarianHassan AbbasPublished in: Comput. Math. Appl. (2018)
Keyphrases
- least squares
- singular value decomposition
- correlation matrix
- data matrix
- optimal solution
- optical flow
- matrix approximation
- robust estimation
- symmetric matrix
- combinatorial problems
- eigenvalue decomposition
- random matrix theory
- objective function
- eigenvalue problems
- pseudo inverse
- linear constraints
- nonnegative matrix factorization
- closed form solutions
- constrained optimization
- benchmark problems
- policy evaluation
- covariance matrix