F08AAF (DGELS) (PDF version)
F08 Chapter Contents
F08 Chapter Introduction
NAG Library Manual

NAG Library Routine Document

F08AAF (DGELS)

Note:  before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.

 Contents

    1  Purpose
    7  Accuracy

1  Purpose

F08AAF (DGELS) solves linear least squares problems of the form
minx b-Ax2   or   minx b-ATx2 ,  
where A is an m by n real matrix of full rank, using a QR or LQ factorization of A.

2  Specification

SUBROUTINE F08AAF ( TRANS, M, N, NRHS, A, LDA, B, LDB, WORK, LWORK, INFO)
INTEGER  M, N, NRHS, LDA, LDB, LWORK, INFO
REAL (KIND=nag_wp)  A(LDA,*), B(LDB,*), WORK(max(1,LWORK))
CHARACTER(1)  TRANS
The routine may be called by its LAPACK name dgels.

3  Description

The following options are provided:
1. If TRANS='N' and mn: find the least squares solution of an overdetermined system, i.e., solve the least squares problem
minx b-Ax2 .  
2. If TRANS='N' and m<n: find the minimum norm solution of an underdetermined system Ax=b.
3. If TRANS='T' and mn: find the minimum norm solution of an undetermined system ATx=b.
4. If TRANS='T' and m<n: find the least squares solution of an overdetermined system, i.e., solve the least squares problem
minx b-ATx2 .  
Several right-hand side vectors b and solution vectors x can be handled in a single call; they are stored as the columns of the m by r right-hand side matrix B and the n by r solution matrix X.

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 http://www.netlib.org/lapack/lug
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5  Arguments

1:     TRANS – CHARACTER(1)Input
On entry: if TRANS='N', the linear system involves A.
If TRANS='T', the linear system involves AT.
Constraint: TRANS='N' or 'T'.
2:     M – INTEGERInput
On entry: m, the number of rows of the matrix A.
Constraint: M0.
3:     N – INTEGERInput
On entry: n, the number of columns of the matrix A.
Constraint: N0.
4:     NRHS – INTEGERInput
On entry: r, the number of right-hand sides, i.e., the number of columns of the matrices B and X.
Constraint: NRHS0.
5:     ALDA* – REAL (KIND=nag_wp) arrayInput/Output
Note: the second dimension of the array A must be at least max1,N.
On entry: the m by n matrix A.
On exit: if MN, A is overwritten by details of its QR factorization, as returned by F08AEF (DGEQRF).
If M<N, A is overwritten by details of its LQ factorization, as returned by F08AHF (DGELQF).
6:     LDA – INTEGERInput
On entry: the first dimension of the array A as declared in the (sub)program from which F08AAF (DGELS) is called.
Constraint: LDAmax1,M.
7:     BLDB* – REAL (KIND=nag_wp) arrayInput/Output
Note: the second dimension of the array B must be at least max1,NRHS.
On entry: the matrix B of right-hand side vectors, stored in columns; B is m by r if TRANS='N', or n by r if TRANS='T'.
On exit: B is overwritten by the solution vectors, x, stored in columns:
  • if TRANS='N' and mn, or TRANS='T' and m<n, elements 1 to minm,n in each column of B contain the least squares solution vectors; the residual sum of squares for the solution is given by the sum of squares of the modulus of elements minm,n+1  to maxm,n in that column;
  • otherwise, elements 1 to maxm,n in each column of B contain the minimum norm solution vectors.
8:     LDB – INTEGERInput
On entry: the first dimension of the array B as declared in the (sub)program from which F08AAF (DGELS) is called.
Constraint: LDBmax1,M,N.
9:     WORKmax1,LWORK – REAL (KIND=nag_wp) arrayWorkspace
On exit: if INFO=0, WORK1 contains the minimum value of LWORK required for optimal performance.
10:   LWORK – INTEGERInput
On entry: the dimension of the array WORK as declared in the (sub)program from which F08AAF (DGELS) is called.
If LWORK=-1, 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, LWORK minM,N + max1,M,N,NRHS × nb , where nb is the optimal block size.
Constraint: LWORKminM,N+max1,M,N,NRHS or LWORK=-1.
11:   INFO – INTEGEROutput
On exit: INFO=0 unless the routine detects an error (see Section 6).

6  Error Indicators and Warnings

INFO<0
If INFO=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.
INFO>0
If INFO=i, diagonal element i of the triangular factor of A is zero, so that A does not have full rank; the least squares solution could not be computed.

7  Accuracy

See Section 4.5 of Anderson et al. (1999) for details of error bounds.

8  Parallelism and Performance

F08AAF (DGELS) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
F08AAF (DGELS) 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.

9  Further Comments

The total number of floating-point operations required to factorize A is approximately 23 n2 3m-n  if mn and 23 m2 3n-m  otherwise. Following the factorization the solution for a single vector x requires O minm2,n2  operations.
The complex analogue of this routine is F08ANF (ZGELS).

10  Example

This example solves the linear least squares problem
minx b-Ax2 ,  
where
A = -0.57 -1.28 -0.39 0.25 -1.93 1.08 -0.31 -2.14 2.30 0.24 0.40 -0.35 -1.93 0.64 -0.66 0.08 0.15 0.30 0.15 -2.13 -0.02 1.03 -1.43 0.50   and   b= -2.67 -0.55 3.34 -0.77 0.48 4.10 .  
The square root of the residual sum of squares is also output.
Note that the block size (NB) of 64 assumed in this example is not realistic for such a small problem, but should be suitable for large problems.

10.1  Program Text

Program Text (f08aafe.f90)

10.2  Program Data

Program Data (f08aafe.d)

10.3  Program Results

Program Results (f08aafe.r)


F08AAF (DGELS) (PDF version)
F08 Chapter Contents
F08 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2016