NAG Library Function Document
nag_dgglse (f08zac)
1 Purpose
nag_dgglse (f08zac) solves a real linear equality-constrained least squares problem.
2 Specification
#include <nag.h> |
#include <nagf08.h> |
void |
nag_dgglse (Nag_OrderType order,
Integer m,
Integer n,
Integer p,
double a[],
Integer pda,
double b[],
Integer pdb,
double c[],
double d[],
double x[],
NagError *fail) |
|
3 Description
nag_dgglse (f08zac) solves the real linear equality-constrained least squares (LSE) problem
where
is an
by
matrix,
is a
by
matrix,
is an
element vector and
is a
element vector. It is assumed that
,
and
, where
. These conditions ensure that the LSE problem has a unique solution, which is obtained using a generalized
factorization of the matrices
and
.
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
Eldèn L (1980) Perturbation theory for the least squares problem with linear equality constraints SIAM J. Numer. Anal. 17 338–350
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 matrices and .
Constraint:
.
- 4:
p – IntegerInput
On entry: , the number of rows of the matrix .
Constraint:
.
- 5:
a[] – doubleInput/Output
-
Note: the dimension,
dim, of the array
a
must be at least
- when
;
- when
.
The
th element of the matrix
is stored in
- when ;
- when .
On entry: the by matrix .
On exit:
a is overwritten.
- 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:
b[] – doubleInput/Output
-
Note: the dimension,
dim, of the array
b
must be at least
- when
;
- when
.
The
th element of the matrix
is stored in
- when ;
- when .
On entry: the by matrix .
On exit:
b is overwritten.
- 8:
pdb – IntegerInput
-
On entry: the stride separating row or column elements (depending on the value of
order) in the array
b.
Constraints:
- if ,
;
- if , .
- 9:
c[m] – doubleInput/Output
On entry: the right-hand side vector for the least squares part of the LSE problem.
On exit: the residual sum of squares for the solution vector is given by the sum of squares of elements ; the remaining elements are overwritten.
- 10:
d[p] – doubleInput/Output
On entry: the right-hand side vector for the equality constraints.
On exit:
d is overwritten.
- 11:
x[n] – doubleOutput
On exit: the solution vector of the LSE problem.
- 12:
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: .
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_INT_3
-
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.
- NE_SINGULAR
-
The by part of the upper trapezoidal factor associated with in the generalized factorization of the pair is singular, so that the rank of the matrix () comprising the rows of and is less than ; the least squares solutions could not be computed.
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.
7 Accuracy
For an error analysis, see
Anderson et al. (1992) and
Eldèn (1980). See also Section 4.6 of
Anderson et al. (1999).
8 Parallelism and Performance
nag_dgglse (f08zac) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
nag_dgglse (f08zac) 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.
When , the total number of floating-point operations is approximately ; if , the number reduces to approximately .
nag_opt_lin_lsq (e04ncc) may also be used to solve LSE problems. It differs from nag_dgglse (f08zac) in that it uses an iterative (rather than direct) method, and that it allows general upper and lower bounds to be specified for the variables
and the linear constraints
.
10 Example
This example solves the least squares problem
where
and
The constraints correspond to and .
10.1 Program Text
Program Text (f08zace.c)
10.2 Program Data
Program Data (f08zace.d)
10.3 Program Results
Program Results (f08zace.r)