NAG Library Routine Document
F08ZBF (DGGGLM)
1 Purpose
F08ZBF (DGGGLM) solves a real general Gauss–Markov linear (least squares) model problem.
2 Specification
SUBROUTINE F08ZBF ( |
M, N, P, A, LDA, B, LDB, D, X, Y, WORK, LWORK, INFO) |
INTEGER |
M, N, P, LDA, LDB, LWORK, INFO |
REAL (KIND=nag_wp) |
A(LDA,*), B(LDB,*), D(M), X(N), Y(P), WORK(max(1,LWORK)) |
|
The routine may be called by its
LAPACK
name dggglm.
3 Description
F08ZBF (DGGGLM) solves the real general Gauss–Markov linear model (GLM) problem
where
is an
by
matrix,
is an
by
matrix and
is an
element vector. It is assumed that
,
and
, where
. Under these assumptions, the problem has a unique solution
and a minimal
-norm solution
, which is obtained using a generalized
factorization of the matrices
and
.
In particular, if the matrix
is square and nonsingular, then the GLM problem is equivalent to the weighted linear least squares problem
4 References
Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia
Anderson E, Bai Z and Dongarra J (1992) Generalized QR factorization and its applications Linear Algebra Appl. (Volume 162–164) 243–271
5 Parameters
- 1: – INTEGERInput
-
On entry: , the number of rows of the matrices and .
Constraint:
.
- 2: – INTEGERInput
-
On entry: , the number of columns of the matrix .
Constraint:
.
- 3: – INTEGERInput
-
On entry: , the number of columns of the matrix .
Constraint:
.
- 4: – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
A
must be at least
.
On entry: the by matrix .
On exit:
A is overwritten.
- 5: – INTEGERInput
-
On entry: the first dimension of the array
A as declared in the (sub)program from which F08ZBF (DGGGLM) is called.
Constraint:
.
- 6: – REAL (KIND=nag_wp) arrayInput/Output
-
Note: the second dimension of the array
B
must be at least
.
On entry: the by matrix .
On exit:
B is overwritten.
- 7: – INTEGERInput
-
On entry: the first dimension of the array
B as declared in the (sub)program from which F08ZBF (DGGGLM) is called.
Constraint:
.
- 8: – REAL (KIND=nag_wp) arrayInput/Output
-
On entry: the left-hand side vector of the GLM equation.
On exit:
D is overwritten.
- 9: – REAL (KIND=nag_wp) arrayOutput
-
On exit: the solution vector of the GLM problem.
- 10: – REAL (KIND=nag_wp) arrayOutput
-
On exit: the solution vector of the GLM problem.
- 11: – REAL (KIND=nag_wp) arrayWorkspace
-
On exit: if
,
contains the minimum value of
LWORK required for optimal performance.
- 12: – INTEGERInput
-
On entry: the dimension of the array
WORK as declared in the (sub)program from which F08ZBF (DGGGLM) 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 .
- 13: – INTEGEROutput
On exit:
unless the routine detects an error (see
Section 6).
6 Error Indicators and Warnings
-
If , argument had an illegal value. An explanatory message is output, and execution of the program is terminated.
-
The upper triangular factor associated with in the generalized factorization of the pair is singular, so that ; the least squares solution could not be computed.
-
The bottom by part of the upper trapezoidal factor associated with in the generalized factorization of the pair is singular, so that ; the least squares solutions could not be computed.
7 Accuracy
For an error analysis, see
Anderson et al. (1992). See also Section 4.6 of
Anderson et al. (1999).
8 Parallelism and Performance
F08ZBF (DGGGLM) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
F08ZBF (DGGGLM) 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.
When , the total number of floating-point operations is approximately ; when , the total number of floating-point operations is approximately .
10 Example
This example solves the weighted least squares problem
where
10.1 Program Text
Program Text (f08zbfe.f90)
10.2 Program Data
Program Data (f08zbfe.d)
10.3 Program Results
Program Results (f08zbfe.r)