Reduced SVDs
In applications it is quite unusual for the full SVD, including a full unitary decomposition of the null-space of the matrix, to be required. Instead, it is often sufficient (as well as faster, and more economical for storage) to compute a reduced version of the SVD. The following can be distinguished for an m×n matrix M of rank r:
Read more about this topic: Singular Value Decomposition
Famous quotes containing the word reduced:
“We shall be reduced to gnaw the very crust of the earth for nutriment.”
—Henry David Thoreau (1817–1862)