NAG Library Function Document
nag_zunglq (f08awc)
1 Purpose
nag_zunglq (f08awc) generates all or part of the complex unitary matrix
from an
factorization computed by
nag_zgelqf (f08avc).
2 Specification
#include <nag.h> |
#include <nagf08.h> |
void |
nag_zunglq (Nag_OrderType order,
Integer m,
Integer n,
Integer k,
Complex a[],
Integer pda,
const Complex tau[],
NagError *fail) |
|
3 Description
nag_zunglq (f08awc) is intended to be used after a call to
nag_zgelqf (f08avc), which performs an
factorization of a complex matrix
. The unitary matrix
is represented as a product of elementary reflectors.
This function may be used to generate explicitly as a square matrix, or to form only its leading rows.
Usually
is determined from the
factorization of a
by
matrix
with
. The whole of
may be computed by:
nag_zunglq(order,n,n,p,&a,pda,tau,&fail)
(note that the array
a must have at least
rows) or its leading
rows by:
nag_zunglq(order,p,n,p,&a,pda,tau,&fail)
The rows of
returned by the last call form an orthonormal basis for the space spanned by the rows of
; thus
nag_zgelqf (f08avc) followed by nag_zunglq (f08awc) can be used to orthogonalize the rows of
.
The information returned by the
factorization functions also yields the
factorization of the leading
rows of
, where
. The unitary matrix arising from this factorization can be computed by:
nag_zunglq(order,n,n,k,&a,pda,tau,&fail)
or its leading
rows by:
nag_zunglq(order,k,n,k,&a,pda,tau,&fail)
4 References
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
5 Arguments
- 1:
order – Nag_OrderTypeInput
-
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
. See
Section 3.2.1.3 in the Essential Introduction for a more detailed explanation of the use of this argument.
Constraint:
or .
- 2:
m – IntegerInput
On entry: , the number of rows of the matrix .
Constraint:
.
- 3:
n – IntegerInput
On entry: , the number of columns of the matrix .
Constraint:
.
- 4:
k – IntegerInput
On entry: , the number of elementary reflectors whose product defines the matrix .
Constraint:
.
- 5:
a[] – ComplexInput/Output
-
Note: the dimension,
dim, of the array
a
must be at least
- when
;
- when
.
On entry: details of the vectors which define the elementary reflectors, as returned by
nag_zgelqf (f08avc).
On exit: the
by
matrix
.
If , the th element of the matrix is stored in .
If , the th element of the matrix is stored in .
- 6:
pda – IntegerInput
-
On entry: the stride separating row or column elements (depending on the value of
order) in the array
a.
Constraints:
- if ,
;
- if , .
- 7:
tau[] – const ComplexInput
-
Note: the dimension,
dim, of the array
tau
must be at least
.
On entry: further details of the elementary reflectors, as returned by
nag_zgelqf (f08avc).
- 8:
fail – NagError *Input/Output
-
The NAG error argument (see
Section 3.6 in the Essential Introduction).
6 Error Indicators and Warnings
- NE_ALLOC_FAIL
-
Dynamic memory allocation failed.
- NE_BAD_PARAM
-
On entry, argument had an illegal value.
- NE_INT
-
On entry, .
Constraint: .
On entry, .
Constraint: .
- NE_INT_2
-
On entry, and .
Constraint: .
On entry, and .
Constraint: .
On entry, and .
Constraint: .
On entry, and .
Constraint: .
- 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.
7 Accuracy
The computed matrix
differs from an exactly unitary matrix by a matrix
such that
where
is the
machine precision.
8 Parallelism and Performance
nag_zunglq (f08awc) is not threaded by NAG in any implementation.
nag_zunglq (f08awc) makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the
Users' Note for your implementation for any additional implementation-specific information.
The total number of real floating-point operations is approximately ; when , the number is approximately .
The real analogue of this function is
nag_dorglq (f08ajc).
10 Example
This example forms the leading
rows of the unitary matrix
from the
factorization of the matrix
, where
The rows of
form an orthonormal basis for the space spanned by the rows of
.
10.1 Program Text
Program Text (f08awce.c)
10.2 Program Data
Program Data (f08awce.d)
10.3 Program Results
Program Results (f08awce.r)