# use SVD to find left inverse?

I'm trying some basic linear algebra function. I want to solve a singular matrix which is not easy to get inverse matrix.

for example, I have

A = [-1, 0, 0, 0, 1, 0, 0, 0; 0, -1, 0, 0, 0, 1, 0, 0]

since is non-inevitable, we should use SVD to get the inverse.

I try this code (skiped the steps to assign value to A)

    Mat inverse= (A).inv(DECOMP_SVD);

cout << "A * inverse = " << A*inverse << endl;
cout << "inverse * A = " << inverse*A << endl;


and the outputs would be

A * inverse =

[0.5, 0, 0, 0, -0.5, 0, 0, 0;

0, 0.5, 0, 0, 0, -0.5, 0, 0;

0, 0, 0, 0, 0, 0, 0, 0;

0, 0, 0, 0, 0, 0, 0, 0;

-0.5, 0, 0, 0, 0.5, 0, 0, 0;

0, -0.5, 0, 0, 0, 0.5, 0, 0;

0, 0, 0, 0, 0, 0, 0, 0;

0, 0, 0, 0, 0, 0, 0, 0]