Iterative algorithms for the minimum-norm solution and the least-squares solution of the linear matrix equations
β Scribed by Kaifu Liang; Jianzhou Liu
- Book ID
- 113439773
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 224 KB
- Volume
- 218
- Category
- Article
- ISSN
- 0096-3003
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, an iterative algorithm is constructed to solve the minimum Frobenius norm residual problem: min over bisymmetric matrices. By this algorithm, for any initial bisymmetric matrix X 0 , a solution X \* can be obtained in finite iteration steps in the absence of roundoff errors, and the
Based on the projection theorem m Hfibert space, by making use of the generahzed singular value decompomtion and the canomcal correlation decomposition, an analytical expression of the least-squares solutmn for the matrix equatmn (AXB, GXH) = (C, D) with the minimum-norm is derived An algorithm for