LAPACK  3.10.0
LAPACK: Linear Algebra PACKage

◆ slsets()

subroutine slsets ( integer  M,
integer  P,
integer  N,
real, dimension( lda, * )  A,
real, dimension( lda, * )  AF,
integer  LDA,
real, dimension( ldb, * )  B,
real, dimension( ldb, * )  BF,
integer  LDB,
real, dimension( * )  C,
real, dimension( * )  CF,
real, dimension( * )  D,
real, dimension( * )  DF,
real, dimension( * )  X,
real, dimension( lwork )  WORK,
integer  LWORK,
real, dimension( * )  RWORK,
real, dimension( 2 )  RESULT 
)

SLSETS

Purpose:
 SLSETS tests SGGLSE - a subroutine for solving linear equality
 constrained least square problem (LSE).
Parameters
[in]M
          M is INTEGER
          The number of rows of the matrix A.  M >= 0.
[in]P
          P is INTEGER
          The number of rows of the matrix B.  P >= 0.
[in]N
          N is INTEGER
          The number of columns of the matrices A and B.  N >= 0.
[in]A
          A is REAL array, dimension (LDA,N)
          The M-by-N matrix A.
[out]AF
          AF is REAL array, dimension (LDA,N)
[in]LDA
          LDA is INTEGER
          The leading dimension of the arrays A, AF, Q and R.
          LDA >= max(M,N).
[in]B
          B is REAL array, dimension (LDB,N)
          The P-by-N matrix A.
[out]BF
          BF is REAL array, dimension (LDB,N)
[in]LDB
          LDB is INTEGER
          The leading dimension of the arrays B, BF, V and S.
          LDB >= max(P,N).
[in]C
          C is REAL array, dimension( M )
          the vector C in the LSE problem.
[out]CF
          CF is REAL array, dimension( M )
[in]D
          D is REAL array, dimension( P )
          the vector D in the LSE problem.
[out]DF
          DF is REAL array, dimension( P )
[out]X
          X is REAL array, dimension( N )
          solution vector X in the LSE problem.
[out]WORK
          WORK is REAL array, dimension (LWORK)
[in]LWORK
          LWORK is INTEGER
          The dimension of the array WORK.
[out]RWORK
          RWORK is REAL array, dimension (M)
[out]RESULT
          RESULT is REAL array, dimension (2)
          The test ratios:
            RESULT(1) = norm( A*x - c )/ norm(A)*norm(X)*EPS
            RESULT(2) = norm( B*x - d )/ norm(B)*norm(X)*EPS
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.

Definition at line 153 of file slsets.f.

155 *
156 * -- LAPACK test routine --
157 * -- LAPACK is a software package provided by Univ. of Tennessee, --
158 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
159 *
160 * .. Scalar Arguments ..
161  INTEGER LDA, LDB, LWORK, M, P, N
162 * ..
163 * .. Array Arguments ..
164  REAL A( LDA, * ), AF( LDA, * ), B( LDB, * ),
165  $ BF( LDB, * ), RESULT( 2 ), RWORK( * ),
166  $ C( * ), D( * ), CF( * ), DF( * ),
167  $ WORK( LWORK ), X( * )
168 *
169 * ====================================================================
170 *
171 * ..
172 * .. Local Scalars ..
173  INTEGER INFO
174 * ..
175 * .. External Subroutines ..
176  EXTERNAL sgglse, slacpy, sget02
177 * ..
178 * .. Executable Statements ..
179 *
180 * Copy the matrices A and B to the arrays AF and BF,
181 * and the vectors C and D to the arrays CF and DF,
182 *
183  CALL slacpy( 'Full', m, n, a, lda, af, lda )
184  CALL slacpy( 'Full', p, n, b, ldb, bf, ldb )
185  CALL scopy( m, c, 1, cf, 1 )
186  CALL scopy( p, d, 1, df, 1 )
187 *
188 * Solve LSE problem
189 *
190  CALL sgglse( m, n, p, af, lda, bf, ldb, cf, df, x,
191  $ work, lwork, info )
192 *
193 * Test the residual for the solution of LSE
194 *
195 * Compute RESULT(1) = norm( A*x - c ) / norm(A)*norm(X)*EPS
196 *
197  CALL scopy( m, c, 1, cf, 1 )
198  CALL scopy( p, d, 1, df, 1 )
199  CALL sget02( 'No transpose', m, n, 1, a, lda, x, n, cf, m,
200  $ rwork, result( 1 ) )
201 *
202 * Compute result(2) = norm( B*x - d ) / norm(B)*norm(X)*EPS
203 *
204  CALL sget02( 'No transpose', p, n, 1, b, ldb, x, n, df, p,
205  $ rwork, result( 2 ) )
206 *
207  RETURN
208 *
209 * End of SLSETS
210 *
subroutine slacpy(UPLO, M, N, A, LDA, B, LDB)
SLACPY copies all or part of one two-dimensional array to another.
Definition: slacpy.f:103
subroutine sgglse(M, N, P, A, LDA, B, LDB, C, D, X, WORK, LWORK, INFO)
SGGLSE solves overdetermined or underdetermined systems for OTHER matrices
Definition: sgglse.f:180
subroutine scopy(N, SX, INCX, SY, INCY)
SCOPY
Definition: scopy.f:82
subroutine sget02(TRANS, M, N, NRHS, A, LDA, X, LDX, B, LDB, RWORK, RESID)
SGET02
Definition: sget02.f:135
Here is the call graph for this function:
Here is the caller graph for this function: