Annotation of rpl/lapack/lapack/dlasq1.f, revision 1.4

1.1       bertrand    1:       SUBROUTINE DLASQ1( N, D, E, WORK, INFO )
                      2: *
                      3: *  -- LAPACK routine (version 3.2)                                    --
                      4: *
                      5: *  -- Contributed by Osni Marques of the Lawrence Berkeley National   --
                      6: *  -- Laboratory and Beresford Parlett of the Univ. of California at  --
                      7: *  -- Berkeley                                                        --
                      8: *  -- November 2008                                                   --
                      9: *
                     10: *  -- LAPACK is a software package provided by Univ. of Tennessee,    --
                     11: *  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
                     12: *
                     13: *     .. Scalar Arguments ..
                     14:       INTEGER            INFO, N
                     15: *     ..
                     16: *     .. Array Arguments ..
                     17:       DOUBLE PRECISION   D( * ), E( * ), WORK( * )
                     18: *     ..
                     19: *
                     20: *  Purpose
                     21: *  =======
                     22: *
                     23: *  DLASQ1 computes the singular values of a real N-by-N bidiagonal
                     24: *  matrix with diagonal D and off-diagonal E. The singular values
                     25: *  are computed to high relative accuracy, in the absence of
                     26: *  denormalization, underflow and overflow. The algorithm was first
                     27: *  presented in
                     28: *
                     29: *  "Accurate singular values and differential qd algorithms" by K. V.
                     30: *  Fernando and B. N. Parlett, Numer. Math., Vol-67, No. 2, pp. 191-230,
                     31: *  1994,
                     32: *
                     33: *  and the present implementation is described in "An implementation of
                     34: *  the dqds Algorithm (Positive Case)", LAPACK Working Note.
                     35: *
                     36: *  Arguments
                     37: *  =========
                     38: *
                     39: *  N     (input) INTEGER
                     40: *        The number of rows and columns in the matrix. N >= 0.
                     41: *
                     42: *  D     (input/output) DOUBLE PRECISION array, dimension (N)
                     43: *        On entry, D contains the diagonal elements of the
                     44: *        bidiagonal matrix whose SVD is desired. On normal exit,
                     45: *        D contains the singular values in decreasing order.
                     46: *
                     47: *  E     (input/output) DOUBLE PRECISION array, dimension (N)
                     48: *        On entry, elements E(1:N-1) contain the off-diagonal elements
                     49: *        of the bidiagonal matrix whose SVD is desired.
                     50: *        On exit, E is overwritten.
                     51: *
                     52: *  WORK  (workspace) DOUBLE PRECISION array, dimension (4*N)
                     53: *
                     54: *  INFO  (output) INTEGER
                     55: *        = 0: successful exit
                     56: *        < 0: if INFO = -i, the i-th argument had an illegal value
                     57: *        > 0: the algorithm failed
                     58: *             = 1, a split was marked by a positive value in E
                     59: *             = 2, current block of Z not diagonalized after 30*N
                     60: *                  iterations (in inner while loop)
                     61: *             = 3, termination criterion of outer while loop not met 
                     62: *                  (program created more than N unreduced blocks)
                     63: *
                     64: *  =====================================================================
                     65: *
                     66: *     .. Parameters ..
                     67:       DOUBLE PRECISION   ZERO
                     68:       PARAMETER          ( ZERO = 0.0D0 )
                     69: *     ..
                     70: *     .. Local Scalars ..
                     71:       INTEGER            I, IINFO
                     72:       DOUBLE PRECISION   EPS, SCALE, SAFMIN, SIGMN, SIGMX
                     73: *     ..
                     74: *     .. External Subroutines ..
                     75:       EXTERNAL           DCOPY, DLAS2, DLASCL, DLASQ2, DLASRT, XERBLA
                     76: *     ..
                     77: *     .. External Functions ..
                     78:       DOUBLE PRECISION   DLAMCH
                     79:       EXTERNAL           DLAMCH
                     80: *     ..
                     81: *     .. Intrinsic Functions ..
                     82:       INTRINSIC          ABS, MAX, SQRT
                     83: *     ..
                     84: *     .. Executable Statements ..
                     85: *
                     86:       INFO = 0
                     87:       IF( N.LT.0 ) THEN
                     88:          INFO = -2
                     89:          CALL XERBLA( 'DLASQ1', -INFO )
                     90:          RETURN
                     91:       ELSE IF( N.EQ.0 ) THEN
                     92:          RETURN
                     93:       ELSE IF( N.EQ.1 ) THEN
                     94:          D( 1 ) = ABS( D( 1 ) )
                     95:          RETURN
                     96:       ELSE IF( N.EQ.2 ) THEN
                     97:          CALL DLAS2( D( 1 ), E( 1 ), D( 2 ), SIGMN, SIGMX )
                     98:          D( 1 ) = SIGMX
                     99:          D( 2 ) = SIGMN
                    100:          RETURN
                    101:       END IF
                    102: *
                    103: *     Estimate the largest singular value.
                    104: *
                    105:       SIGMX = ZERO
                    106:       DO 10 I = 1, N - 1
                    107:          D( I ) = ABS( D( I ) )
                    108:          SIGMX = MAX( SIGMX, ABS( E( I ) ) )
                    109:    10 CONTINUE
                    110:       D( N ) = ABS( D( N ) )
                    111: *
                    112: *     Early return if SIGMX is zero (matrix is already diagonal).
                    113: *
                    114:       IF( SIGMX.EQ.ZERO ) THEN
                    115:          CALL DLASRT( 'D', N, D, IINFO )
                    116:          RETURN
                    117:       END IF
                    118: *
                    119:       DO 20 I = 1, N
                    120:          SIGMX = MAX( SIGMX, D( I ) )
                    121:    20 CONTINUE
                    122: *
                    123: *     Copy D and E into WORK (in the Z format) and scale (squaring the
                    124: *     input data makes scaling by a power of the radix pointless).
                    125: *
                    126:       EPS = DLAMCH( 'Precision' )
                    127:       SAFMIN = DLAMCH( 'Safe minimum' )
                    128:       SCALE = SQRT( EPS / SAFMIN )
                    129:       CALL DCOPY( N, D, 1, WORK( 1 ), 2 )
                    130:       CALL DCOPY( N-1, E, 1, WORK( 2 ), 2 )
                    131:       CALL DLASCL( 'G', 0, 0, SIGMX, SCALE, 2*N-1, 1, WORK, 2*N-1,
                    132:      $             IINFO )
                    133: *         
                    134: *     Compute the q's and e's.
                    135: *
                    136:       DO 30 I = 1, 2*N - 1
                    137:          WORK( I ) = WORK( I )**2
                    138:    30 CONTINUE
                    139:       WORK( 2*N ) = ZERO
                    140: *
                    141:       CALL DLASQ2( N, WORK, INFO )
                    142: *
                    143:       IF( INFO.EQ.0 ) THEN
                    144:          DO 40 I = 1, N
                    145:             D( I ) = SQRT( WORK( I ) )
                    146:    40    CONTINUE
                    147:          CALL DLASCL( 'G', 0, 0, SCALE, SIGMX, N, 1, D, N, IINFO )
                    148:       END IF
                    149: *
                    150:       RETURN
                    151: *
                    152: *     End of DLASQ1
                    153: *
                    154:       END

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