a = [1 2 3
2 4 6
3 6 9];
b = pinv(a);
[U,S,V] = svd(a);
T = S;
T(find(S~=0)) = 1./S(find(S~=0));
svda = V * T' * U';
I find that the pinv
method in Matlab uses the SVD decomposition to calculate pseudo-inverse, so I tried to solve the matrix a
.
And as shown above, theoretically the b
should be equal with svda
, but the Matlab result said they are totally different. Why?
b
is
0.00510204081632653 0.0102040816326531 0.0153061224489796
0.0102040816326531 0.0204081632653061 0.0306122448979592
0.0153061224489796 0.0306122448979592 0.0459183673469388
svda
is
-2.25000000000000 -5.69876639328585e+15 3.79917759552390e+15
-2.14021397132170e+15 1.33712246709292e+16 -8.20074512351222e+15
1.42680931421447e+15 -7.01456098285751e+15 4.20077088383351e+15
How does pinv
get to its result?
REASON:
Thanks to Cris, I check my S, and it do have 2 very large number, and that is the source of this strange result.
S:
14.0000000000000 0 0
0 1.00758232556386e-15 0
0 0 5.23113446604828e-17
By pinv method and Cris method, this 2 latter numbers should set to 0 which I didnt do. So here is the reason。