You can pass matrix arguments to BLAS and LAPACK routines in 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
Matrix Storage Schemes
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.
|
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's inefficient to use the band storage if your matrices are not really banded.)
When you supply a general band matrix for LU factorization,
allow space 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
if upper triangular, or
ku=0
if 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).
|
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