DocumentCode :
2887132
Title :
The Least-Squares Solutions of Inverse Problems for Symmetric Orthogonal Anti-Symmetric Matrices
Author :
Sheng, Yan-Ping ; Wang, Lai-sheng
Author_Institution :
Coll. of Sci., China Agric. Univ., Beijing
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
631
Lastpage :
634
Abstract :
In this paper, the inverse problem of matrices is discussed, by applying spectral resolution and singular values decomposition of matrix, the solutions and least-squares solutions of some inverse problem of matrices are considered. We also study necessary and sufficient conditions for the existence of the solution of this inverse problem of matrices. We also derive the general forms of this solutions. We also obtain the least-squares solutions of this inverse problem of matrices
Keywords :
inverse problems; least squares approximations; singular value decomposition; inverse problem; least-squares solution; singular value decomposition; spectral resolution; symmetric orthogonal antisymmetric matrices; Cybernetics; Educational institutions; Gold; Inverse problems; Machine learning; Machinery; Matrix decomposition; Strontium; Sufficient conditions; Symmetric matrices; Inverse problem; Least-squares solutions; Matrix norm; Symmetric orthogonal anti-symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258389
Filename :
4028140
Link To Document :
بازگشت