Matrix Storage Schemes

Matrix arguments of Intel® MKL routines can be stored in either one- or two-dimensional arrays, using the following storage schemes:

Full storage is the following obvious scheme: a matrix A is stored in a two-dimensional array a, with the matrix element aij stored in the array element a(i,j). If a matrix is triangular (upper or lower, as specified by the argument uplo), only the elements of the relevant triangle are stored; the remaining elements of the array need not be set. Routines that handle symmetric or Hermitian matrices allow for either the upper or lower triangle of the matrix to be stored in the corresponding elements of the array:

uplo ='U' aij is stored in a(i,j) for i < j;
other elements of a need not be set.
uplo ='L' aij is stored in a(i,j) for j < i;
other elements of a need not be set.

Packed storage allows you to store symmetric, Hermitian, or triangular matrices more compactly: the relevant triangle (again, as specified by the argument uplo) is packed by columns in a one-dimensional array ap:

uplo ='U' aij is stored in ap(i+j*(j-1)/2) for i < j.
uplo ='L' aij is stored in ap(i+(2*n-j)*(j-1)/2) for j < i.

In descriptions of LAPACK routines, arrays with packed matrices have names ending in p.

Band storage is as follows: an m-by-n band matrix with kl non-zero sub-diagonals and ku non-zero super-diagonals is stored compactly in a two-dimensional array ab with kl+ku+1 rows and n columns. Columns of the matrix are stored in the corresponding columns of the array, and diagonals of the matrix are stored in rows of the array.

Thus, aij is stored in ab(ku+1+i-j,j) for max(n,j-ku< i < min(n,j+kl).

Use the band storage scheme only when kl and ku are much less than the matrix size n. Although the routines work correctly for all values of kl and ku, it is inefficient to use the band storage if your matrices are not really banded.

When a general band matrix is supplied for LU factorization, space must be allowed to store kl additional super-diagonals generated by fill-in as a result of row interchanges. This means that the matrix is stored according to the above scheme, but with kl+ku super-diagonals.

Triangular band matrices are stored in the same format, with either kl = 0 in the case of upper triangular, or ku = 0 in the case of lower triangular. For symmetric or Hermitian band matrices with k sub-diagonals or super-diagonals, you need to store only the upper or lower triangle, as specified by the argument uplo:

uplo ='U' aij is stored in ab(k+1+i-j,j) for max(1, j-k< i < j.
uplo ='L' aij is stored in ab(1+i-j,j) for j < i < min(n,j+k).

In descriptions of LAPACK routines, arrays that hold matrices in band storage have names ending in b.

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