Matrix inequalities in the Lowner ordering by means of Schur complement and block matrices.
Cheng ZengGantong HePublished in: Int. J. Comput. Sci. Math. (2018)
Keyphrases
- coefficient matrix
- rows and columns
- interior point methods
- singular value decomposition
- perturbation theory
- positive definite
- square matrices
- linear systems
- matrix representation
- row column
- linear algebra
- singular values
- sparse matrices
- data matrix
- positive semidefinite
- systems of linear equations
- convex optimization
- symmetric matrices
- sparse matrix
- block wise
- symmetric positive definite
- linear inequalities
- binary matrices
- block diagonal
- low rank matrix
- projection matrices
- projection matrix
- low rank
- partial order
- measurement matrix
- objective function
- linear complementarity problem
- semidefinite programming
- missing values
- sufficient conditions
- linear programming