nag_dger (f16pmc) (PDF version)
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NAG Library Manual
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NAG Library Function Document
nag_dger (f16pmc)
▸
▿
Contents
1
Purpose
2
Specification
3
Description
4
References
5
Arguments
6
Error Indicators and Warnings
7
Accuracy
8
Parallelism and Performance
9
Further Comments
▸
▿
10
Example
10.1
Program Text
10.2
Program Data
10.3
Program Results
1 Purpose
nag_dger (f16pmc) performs a rank-1 update on a real general matrix.
2 Specification
#include <nag.h>
#include <nagf16.h>
void
nag_dger (Nag_OrderType
order
, Nag_ConjType
conj
, Integer
m
, Integer
n
, double
alpha
, const double
x
[], Integer
incx
, const double
y
[], Integer
incy
, double
beta
, double
a
[], Integer
pda
, NagError *
fail
)
3 Description
nag_dger (f16pmc) performs the rank-1 update operation
A
←
α
x
y
T
+
β
A
,
where
A
is an
m
by
n
real matrix,
x
is an
m
element real vector,
y
is an
n
-element real vector, and
α
and
β
are real scalars. If
m
or
n
is equal to zero or if
β
is equal to one and
α
is equal to zero, this function returns immediately.
4 References
Basic Linear Algebra Subprograms Technical (BLAST) Forum (2001)
Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard
University of Tennessee, Knoxville, Tennessee
http://www.netlib.org/blas/blast-forum/blas-report.pdf
5 Arguments
1:
order
–
Nag_OrderType
Input
On entry
: the
order
argument specifies the two-dimensional storage scheme being used, i.e., row-major ordering or column-major ordering. C language defined storage is specified by
order
=
Nag_RowMajor
. See
Section 2.3.1.3
in How to Use the NAG Library and its Documentation for a more detailed explanation of the use of this argument.
Constraint
:
order
=
Nag_RowMajor
or
Nag_ColMajor
.
2:
conj
–
Nag_ConjType
Input
On entry
: the argument
conj
is not referenced if
x
and
y
are real vectors. It is suggested that you set
conj
=
Nag_NoConj
where the elements
y
i
are not conjugated.
Constraint
:
conj
=
Nag_NoConj
.
3:
m
–
Integer
Input
On entry
:
m
, the number of rows of the matrix
A
.
Constraint
:
m
≥
0
.
4:
n
–
Integer
Input
On entry
:
n
, the number of columns of the matrix
A
.
Constraint
:
n
≥
0
.
5:
alpha
–
double
Input
On entry
: the scalar
α
.
6:
x
[
dim
]
–
const double
Input
Note:
the dimension,
dim
, 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
[
i
-
1
×
incx
]
, for
i
=
1
,
2
,
…
,
m
.
If
incx
<
0
,
x
i
must be stored in
x
[
m
-
i
×
incx
]
, for
i
=
1
,
2
,
…
,
m
.
Intermediate elements of
x
are not referenced. If
m
=
0
,
x
is not referenced and may be
NULL
.
7:
incx
–
Integer
Input
On entry
: the increment in the subscripts of
x
between successive elements of
x
.
Constraint
:
incx
≠
0
.
8:
y
[
dim
]
–
const double
Input
Note:
the dimension,
dim
, of the array
y
must be at least
max
1
,
1
+
n
-
1
incy
.
On entry
: the
n
-element vector
y
.
If
incy
>
0
,
y
i
must be stored in
y
[
i
-
1
×
incy
]
, for
i
=
1
,
2
,
…
,
n
.
If
incy
<
0
,
y
i
must be stored in
y
[
n
-
i
×
incy
]
, for
i
=
1
,
2
,
…
,
n
.
Intermediate elements of
y
are not referenced. If
α
=
0.0
or
n
=
0
,
y
is not referenced and may be
NULL
.
9:
incy
–
Integer
Input
On entry
: the increment in the subscripts of
y
between successive elements of
y
.
Constraint
:
incy
≠
0
.
10:
beta
–
double
Input
On entry
: the scalar
β
.
11:
a
[
dim
]
–
double
Input/Output
Note:
the dimension,
dim
, of the array
a
must be at least
max
1
,
pda
×
n
when
order
=
Nag_ColMajor
;
max
1
,
m
×
pda
when
order
=
Nag_RowMajor
.
If
order
=
Nag_ColMajor
,
A
i
j
is stored in
a
[
j
-
1
×
pda
+
i
-
1
]
.
If
order
=
Nag_RowMajor
,
A
i
j
is stored in
a
[
i
-
1
×
pda
+
j
-
1
]
.
On entry
: the
m
by
n
matrix
A
.
On exit
: the updated matrix
A
.
12:
pda
–
Integer
Input
On entry
: the stride separating row or column elements (depending on the value of
order
) in the array
a
.
Constraints
:
if
order
=
Nag_ColMajor
,
pda
≥
max
1
,
m
;
if
order
=
Nag_RowMajor
,
pda
≥
n
.
13:
fail
–
NagError *
Input/Output
The NAG error argument (see
Section 2.7
in How to Use the NAG Library and its Documentation).
6 Error Indicators and Warnings
NE_ALLOC_FAIL
Dynamic memory allocation failed.
See
Section 2.3.1.2
in How to Use the NAG Library and its Documentation for further information.
NE_BAD_PARAM
On entry, argument
value
had an illegal value.
NE_INT
On entry,
incx
=
value
.
Constraint:
incx
≠
0
.
On entry,
incy
=
value
.
Constraint:
incy
≠
0
.
On entry,
m
=
value
.
Constraint:
m
≥
0
.
On entry,
n
=
value
.
Constraint:
n
≥
0
.
NE_INT_2
On entry,
pda
=
value
,
m
=
value
.
Constraint:
pda
≥
max
1
,
m
.
On entry,
pda
=
value
and
n
=
value
.
Constraint:
pda
≥
n
.
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact
NAG
for assistance.
An unexpected error has been triggered by this function. Please contact
NAG
.
See
Section 2.7.6
in How to Use the NAG Library and its Documentation for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See
Section 2.7.5
in How to Use the NAG Library and its Documentation for further information.
7 Accuracy
The BLAS standard requires accurate implementations which avoid unnecessary over/underflow (see Section 2.7 of
Basic Linear Algebra Subprograms Technical (BLAST) Forum (2001)
).
8 Parallelism and Performance
nag_dger (f16pmc) is not threaded in any implementation.
9 Further Comments
The argument
conj
is not referenced in this case where
x
and
y
are real vectors.
10 Example
Perform rank-1 update of real matrix
A
using vectors
x
and
y
:
A
←
A
-
x
y
T
,
where
A
is the
3
by
2
matrix given by
A
=
3.0
2.0
3.0
4.0
5.0
9.0
,
x
=
2.0
,
3.0
,
5.0
T
and
y
=
0.0
,
1.0
,
0.0
T
.
10.1 Program Text
Program Text (f16pmce.c)
10.2 Program Data
Program Data (f16pmce.d)
10.3 Program Results
Program Results (f16pmce.r)
nag_dger (f16pmc) (PDF version)
f16 Chapter Contents
f16 Chapter Introduction
NAG Library Manual
© The Numerical Algorithms Group Ltd, Oxford, UK. 2016