I have an N-by-N symmetric matrix that is very large and requires a large amount of memory to store. However, of the "N^2" elements in the matrix, "N*(N – 1)/2" are redundant. I would like to be able to create and operate on this symmetric matrix without ever having to create and store the entire N-by-N matrix.
LAPACK supports this type of matrix storage, and is referred to as a "packed" matrix.
I also have another sparse symmetric matrix and would like to store only half of it as opposed to the entire matrix.
Best Answer