The routine may be called by the names f08asf, nagf_lapackeig_zgeqrf or its LAPACK name zgeqrf.
3Description
f08asf forms the factorization of an arbitrary rectangular complex matrix. No pivoting is performed.
If , the factorization is given by:
where is an upper triangular matrix (with real diagonal elements) and is an unitary matrix. It is sometimes more convenient to write the factorization as
which reduces to
where consists of the first columns of , and the remaining columns.
If , is trapezoidal, and the factorization can be written
where is upper triangular and is rectangular.
The matrix is not formed explicitly but is represented as a product of elementary reflectors (see the F08 Chapter Introduction for details). Routines are provided to work with in this representation (see Section 9).
Note also that for any , the information returned in the first columns of the array a represents a factorization of the first columns of the original matrix .
4References
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
5Arguments
1: – IntegerInput
On entry: , the number of rows of the matrix .
Constraint:
.
2: – IntegerInput
On entry: , the number of columns of the matrix .
Constraint:
.
3: – Complex (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array a
must be at least
.
On entry: the matrix .
On exit: if , the elements below the diagonal are overwritten by details of the unitary matrix and the upper triangle is overwritten by the corresponding elements of the upper triangular matrix .
If , the strictly lower triangular part is overwritten by details of the unitary matrix and the remaining elements are overwritten by the corresponding elements of the upper trapezoidal matrix .
The diagonal elements of are real.
4: – IntegerInput
On entry: the first dimension of the array a as declared in the (sub)program from which f08asf is called.
Constraint:
.
5: – Complex (Kind=nag_wp) arrayOutput
Note: the dimension of the array tau
must be at least
.
On exit: further details of the unitary matrix .
6: – Complex (Kind=nag_wp) arrayWorkspace
On exit: if , the real part of contains the minimum value of lwork required for optimal performance.
7: – IntegerInput
On entry: the dimension of the array work as declared in the (sub)program from which f08asf is called.
If , a workspace query is assumed; the routine only calculates the optimal size of the work array, returns this value as the first entry of the work array, and no error message related to lwork is issued.
Suggested value:
for optimal performance, , where is the optimal block size.
Constraint:
or .
8: – IntegerOutput
On exit: unless the routine detects an error (see Section 6).
6Error Indicators and Warnings
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
7Accuracy
The computed factorization is the exact factorization of a nearby matrix , where
and is the machine precision.
8Parallelism and Performance
f08asf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f08asf 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 X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.
9Further Comments
The total number of real floating-point operations is approximately if or if .
To form the unitary matrix f08asf may be followed by a call to f08atf
: