Least-Squares Solution with the Minimum-Norm for the Matrix Equation A T XB+B T X T A = D and Its Applications

2007 ◽  
Vol 23 (2) ◽  
pp. 269-280 ◽  
Author(s):  
An-ping Liao ◽  
Yuan Lei ◽  
Xi-yan Hu





Filomat ◽  
2014 ◽  
Vol 28 (2) ◽  
pp. 383-395
Author(s):  
Marko Miladinovic ◽  
Sladjana Miljkovic ◽  
Predrag Stanimirovic

We present the Drazin-inverse solution of the matrix equation AXB = G as a least-squares solution of a specified minimization problem. Some important properties of the Moore-Penrose inverse are extended on the Drazin inverse by exploring the minimal norm properties of the Drazin-inverse solution of the matrix equation AXB = G. The least squares properties of the Drazin-inverse solution lead to new representations of the Drazin inverse of a given matrix, which are justified by illustrative examples.



2018 ◽  
Vol 76 (8) ◽  
pp. 2001-2010 ◽  
Author(s):  
Fengxia Zhang ◽  
Musheng Wei ◽  
Ying Li ◽  
Jianli Zhao




2013 ◽  
Vol 219 (20) ◽  
pp. 10293-10301 ◽  
Author(s):  
Yongge Tian ◽  
Hongxing Wang




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