The WG inverse and its application in a constrained matrix
approximation problem
Hongxing Wang*, Ju Gao, Xiaoji Liu
ABSTRACT: We study the application of WG inverse to a constrained matrix approximation problem to deduce the
unique solution of the problem, and get characterizations of WG inverse by applying matrix decompositions. Moreover,
we get one Gauss-Jordan elimination method for the WG inverse.