LAPACK  3.10.1
LAPACK: Linear Algebra PACKage

◆ zqrt12()

double precision function zqrt12 ( integer  M,
integer  N,
complex*16, dimension( lda, * )  A,
integer  LDA,
double precision, dimension( * )  S,
complex*16, dimension( lwork )  WORK,
integer  LWORK,
double precision, dimension( * )  RWORK 
)

ZQRT12

Purpose:
 ZQRT12 computes the singular values `svlues' of the upper trapezoid
 of A(1:M,1:N) and returns the ratio

      || s - svlues||/(||svlues||*eps*max(M,N))
Parameters
[in]M
          M is INTEGER
          The number of rows of the matrix A.
[in]N
          N is INTEGER
          The number of columns of the matrix A.
[in]A
          A is COMPLEX*16 array, dimension (LDA,N)
          The M-by-N matrix A. Only the upper trapezoid is referenced.
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.
[in]S
          S is DOUBLE PRECISION array, dimension (min(M,N))
          The singular values of the matrix A.
[out]WORK
          WORK is COMPLEX*16 array, dimension (LWORK)
[in]LWORK
          LWORK is INTEGER
          The length of the array WORK. LWORK >= M*N + 2*min(M,N) +
          max(M,N).
[out]RWORK
          RWORK is DOUBLE PRECISION array, dimension (2*min(M,N))
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.

Definition at line 95 of file zqrt12.f.

97 *
98 * -- LAPACK test routine --
99 * -- LAPACK is a software package provided by Univ. of Tennessee, --
100 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
101 *
102 * .. Scalar Arguments ..
103  INTEGER LDA, LWORK, M, N
104 * ..
105 * .. Array Arguments ..
106  DOUBLE PRECISION RWORK( * ), S( * )
107  COMPLEX*16 A( LDA, * ), WORK( LWORK )
108 * ..
109 *
110 * =====================================================================
111 *
112 * .. Parameters ..
113  DOUBLE PRECISION ZERO, ONE
114  parameter( zero = 0.0d0, one = 1.0d0 )
115 * ..
116 * .. Local Scalars ..
117  INTEGER I, INFO, ISCL, J, MN
118  DOUBLE PRECISION ANRM, BIGNUM, NRMSVL, SMLNUM
119 * ..
120 * .. Local Arrays ..
121  DOUBLE PRECISION DUMMY( 1 )
122 * ..
123 * .. External Functions ..
124  DOUBLE PRECISION DASUM, DLAMCH, DNRM2, ZLANGE
125  EXTERNAL dasum, dlamch, dnrm2, zlange
126 * ..
127 * .. External Subroutines ..
128  EXTERNAL daxpy, dbdsqr, dlabad, dlascl, xerbla, zgebd2,
129  $ zlascl, zlaset
130 * ..
131 * .. Intrinsic Functions ..
132  INTRINSIC dble, dcmplx, max, min
133 * ..
134 * .. Executable Statements ..
135 *
136  zqrt12 = zero
137 *
138 * Test that enough workspace is supplied
139 *
140  IF( lwork.LT.m*n+2*min( m, n )+max( m, n ) ) THEN
141  CALL xerbla( 'ZQRT12', 7 )
142  RETURN
143  END IF
144 *
145 * Quick return if possible
146 *
147  mn = min( m, n )
148  IF( mn.LE.zero )
149  $ RETURN
150 *
151  nrmsvl = dnrm2( mn, s, 1 )
152 *
153 * Copy upper triangle of A into work
154 *
155  CALL zlaset( 'Full', m, n, dcmplx( zero ), dcmplx( zero ), work,
156  $ m )
157  DO 20 j = 1, n
158  DO 10 i = 1, min( j, m )
159  work( ( j-1 )*m+i ) = a( i, j )
160  10 CONTINUE
161  20 CONTINUE
162 *
163 * Get machine parameters
164 *
165  smlnum = dlamch( 'S' ) / dlamch( 'P' )
166  bignum = one / smlnum
167  CALL dlabad( smlnum, bignum )
168 *
169 * Scale work if max entry outside range [SMLNUM,BIGNUM]
170 *
171  anrm = zlange( 'M', m, n, work, m, dummy )
172  iscl = 0
173  IF( anrm.GT.zero .AND. anrm.LT.smlnum ) THEN
174 *
175 * Scale matrix norm up to SMLNUM
176 *
177  CALL zlascl( 'G', 0, 0, anrm, smlnum, m, n, work, m, info )
178  iscl = 1
179  ELSE IF( anrm.GT.bignum ) THEN
180 *
181 * Scale matrix norm down to BIGNUM
182 *
183  CALL zlascl( 'G', 0, 0, anrm, bignum, m, n, work, m, info )
184  iscl = 1
185  END IF
186 *
187  IF( anrm.NE.zero ) THEN
188 *
189 * Compute SVD of work
190 *
191  CALL zgebd2( m, n, work, m, rwork( 1 ), rwork( mn+1 ),
192  $ work( m*n+1 ), work( m*n+mn+1 ),
193  $ work( m*n+2*mn+1 ), info )
194  CALL dbdsqr( 'Upper', mn, 0, 0, 0, rwork( 1 ), rwork( mn+1 ),
195  $ dummy, mn, dummy, 1, dummy, mn, rwork( 2*mn+1 ),
196  $ info )
197 *
198  IF( iscl.EQ.1 ) THEN
199  IF( anrm.GT.bignum ) THEN
200  CALL dlascl( 'G', 0, 0, bignum, anrm, mn, 1, rwork( 1 ),
201  $ mn, info )
202  END IF
203  IF( anrm.LT.smlnum ) THEN
204  CALL dlascl( 'G', 0, 0, smlnum, anrm, mn, 1, rwork( 1 ),
205  $ mn, info )
206  END IF
207  END IF
208 *
209  ELSE
210 *
211  DO 30 i = 1, mn
212  rwork( i ) = zero
213  30 CONTINUE
214  END IF
215 *
216 * Compare s and singular values of work
217 *
218  CALL daxpy( mn, -one, s, 1, rwork( 1 ), 1 )
219  zqrt12 = dasum( mn, rwork( 1 ), 1 ) /
220  $ ( dlamch( 'Epsilon' )*dble( max( m, n ) ) )
221  IF( nrmsvl.NE.zero )
222  $ zqrt12 = zqrt12 / nrmsvl
223 *
224  RETURN
225 *
226 * End of ZQRT12
227 *
double precision function dlamch(CMACH)
DLAMCH
Definition: dlamch.f:69
subroutine dlabad(SMALL, LARGE)
DLABAD
Definition: dlabad.f:74
subroutine dlascl(TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO)
DLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
Definition: dlascl.f:143
subroutine xerbla(SRNAME, INFO)
XERBLA
Definition: xerbla.f:60
subroutine dbdsqr(UPLO, N, NCVT, NRU, NCC, D, E, VT, LDVT, U, LDU, C, LDC, WORK, INFO)
DBDSQR
Definition: dbdsqr.f:241
double precision function zqrt12(M, N, A, LDA, S, WORK, LWORK, RWORK)
ZQRT12
Definition: zqrt12.f:97
double precision function zlange(NORM, M, N, A, LDA, WORK)
ZLANGE returns the value of the 1-norm, Frobenius norm, infinity-norm, or the largest absolute value ...
Definition: zlange.f:115
subroutine zgebd2(M, N, A, LDA, D, E, TAUQ, TAUP, WORK, INFO)
ZGEBD2 reduces a general matrix to bidiagonal form using an unblocked algorithm.
Definition: zgebd2.f:189
subroutine zlascl(TYPE, KL, KU, CFROM, CTO, M, N, A, LDA, INFO)
ZLASCL multiplies a general rectangular matrix by a real scalar defined as cto/cfrom.
Definition: zlascl.f:143
subroutine zlaset(UPLO, M, N, ALPHA, BETA, A, LDA)
ZLASET initializes the off-diagonal elements and the diagonal elements of a matrix to given values.
Definition: zlaset.f:106
double precision function dasum(N, DX, INCX)
DASUM
Definition: dasum.f:71
subroutine daxpy(N, DA, DX, INCX, DY, INCY)
DAXPY
Definition: daxpy.f:89
real(wp) function dnrm2(n, x, incx)
DNRM2
Definition: dnrm2.f90:89
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