F06PDF (DSBMV) (PDF version)
F06 Chapter Contents
F06 Chapter Introduction
NAG Library Manual
NAG Library Routine Document
F06PDF (DSBMV)
Note:
before using this routine, please read the Users' Note for your implementation to check the interpretation of
bold italicised
terms and other implementation-dependent details.
+
−
Contents
1
Purpose
2
Specification
3
Description
4
References
5
Parameters
6
Error Indicators and Warnings
7
Accuracy
8
Further Comments
9
Example
1 Purpose
F06PDF (DSBMV) computes the matrix-vector product for a real symmetric band matrix.
2 Specification
SUBROUTINE F06PDF (
UPLO
,
N
,
K
,
ALPHA
,
A
,
LDA
,
X
,
INCX
,
BETA
,
Y
,
INCY
)
INTEGER
N, K, LDA, INCX, INCY
REAL (KIND=nag_wp)
ALPHA, A(LDA,*), X(*), BETA, Y(*)
CHARACTER(1)
UPLO
The routine may be called by its BLAS name
dsbmv
.
3 Description
F06PDF (DSBMV) performs the matrix-vector operation
y
←
α
A
x
+
β
y
,
where
A
is an
n
by
n
real symmetric band matrix with
k
subdiagonals and
k
superdiagonals,
x
and
y
are
n
-element real vectors, and
α
and
β
are real scalars.
4 References
None.
5 Parameters
1: UPLO – CHARACTER(1)
Input
On entry
: specifies whether the upper or lower triangular part of
A
is stored.
UPLO
=
'U'
The upper triangular part of
A
is stored.
UPLO
=
'L'
The lower triangular part of
A
is stored.
Constraint
:
UPLO
=
'U'
or
'L'
.
2: N – INTEGER
Input
On entry
:
n
, the order of the matrix
A
.
Constraint
:
N
≥
0
.
3: K – INTEGER
Input
On entry
:
k
, the number of subdiagonals or superdiagonals of the matrix
A
.
Constraint
:
K
≥
0
.
4: ALPHA – REAL (KIND=nag_wp)
Input
On entry
: the scalar
α
.
5: A(
LDA
,
*
) – REAL (KIND=nag_wp) array
Input
Note:
the second dimension of the array
A
must be at least
N
.
On entry
: the
n
by
n
symmetric band matrix
A
.
The matrix is stored in rows
1
to
k
+
1
, more precisely,
if
UPLO
=
'U'
, the elements of the upper triangle of
A
within the band must be stored with element
A
i
j
in
A
k
+
1
+
i
-
j
j
for
max
1
,
j
-
k
≤
i
≤
j
;
if
UPLO
=
'L'
, the elements of the lower triangle of
A
within the band must be stored with element
A
i
j
in
A
1
+
i
-
j
j
for
j
≤
i
≤
min
n
,
j
+
k
.
6: LDA – INTEGER
Input
On entry
: the first dimension of the array
A
as declared in the (sub)program from which F06PDF (DSBMV) is called.
Constraint
:
LDA
≥
K
+
1
.
7: X(
*
) – REAL (KIND=nag_wp) array
Input
Note:
the dimension of the array
X
must be at least
max
1
,
1
+
N
-
1
×
INCX
.
On entry
: the
n
-element vector
x
.
If
INCX
>
0
,
x
i
must be stored in
X
1
+
i
-
1
×
INCX
, for
i
=
1
,
2
,
…
,
N
.
If
INCX
<
0
,
x
i
must be stored in
X
1
-
N
-
i
×
INCX
, for
i
=
1
,
2
,
…
,
N
.
Intermediate elements of
X
are not referenced.
8: INCX – INTEGER
Input
On entry
: the increment in the subscripts of
X
between successive elements of
x
.
Constraint
:
INCX
≠
0
.
9: BETA – REAL (KIND=nag_wp)
Input
On entry
: the scalar
β
.
10: Y(
*
) – REAL (KIND=nag_wp) array
Input/Output
Note:
the dimension of the array
Y
must be at least
max
1
,
1
+
N
-
1
×
INCY
.
On entry
: the
n
-element vector
y
, if
BETA
=
0.0
Y
need not be set.
If
INCY
>
0
,
y
i
must be stored in
Y
1
+
i
–
1
×
INCY
, for
i
=
1
,
2
,
…
,
N
.
If
INCY
<
0
,
y
i
must be stored in
Y
1
–
N
–
i
×
INCY
, for
i
=
1
,
2
,
…
,
N
.
On exit
: the updated vector
y
stored in the array elements used to supply the original vector
y
.
11: INCY – INTEGER
Input
On entry
: the increment in the subscripts of
Y
between successive elements of
y
.
Constraint
:
INCY
≠
0
.
6 Error Indicators and Warnings
None.
7 Accuracy
Not applicable.
8 Further Comments
None.
9 Example
None.
F06PDF (DSBMV) (PDF version)
F06 Chapter Contents
F06 Chapter Introduction
NAG Library Manual
© The Numerical Algorithms Group Ltd, Oxford, UK. 2012