dlasq1.f.html
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SUBROUTINE <a name="DLASQ1.1"></a><a href="dlasq1.f.html#DLASQ1.1">DLASQ1</a>( N, D, E, WORK, INFO )
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> -- LAPACK routine (version 3.1) --
</span><span class="comment">*</span><span class="comment"> Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
</span><span class="comment">*</span><span class="comment"> November 2006
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> .. Scalar Arguments ..
</span> INTEGER INFO, N
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. Array Arguments ..
</span> DOUBLE PRECISION D( * ), E( * ), WORK( * )
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Purpose
</span><span class="comment">*</span><span class="comment"> =======
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> <a name="DLASQ1.17"></a><a href="dlasq1.f.html#DLASQ1.1">DLASQ1</a> computes the singular values of a real N-by-N bidiagonal
</span><span class="comment">*</span><span class="comment"> matrix with diagonal D and off-diagonal E. The singular values
</span><span class="comment">*</span><span class="comment"> are computed to high relative accuracy, in the absence of
</span><span class="comment">*</span><span class="comment"> denormalization, underflow and overflow. The algorithm was first
</span><span class="comment">*</span><span class="comment"> presented in
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> "Accurate singular values and differential qd algorithms" by K. V.
</span><span class="comment">*</span><span class="comment"> Fernando and B. N. Parlett, Numer. Math., Vol-67, No. 2, pp. 191-230,
</span><span class="comment">*</span><span class="comment"> 1994,
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> and the present implementation is described in "An implementation of
</span><span class="comment">*</span><span class="comment"> the dqds Algorithm (Positive Case)", LAPACK Working Note.
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Arguments
</span><span class="comment">*</span><span class="comment"> =========
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> N (input) INTEGER
</span><span class="comment">*</span><span class="comment"> The number of rows and columns in the matrix. N >= 0.
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> D (input/output) DOUBLE PRECISION array, dimension (N)
</span><span class="comment">*</span><span class="comment"> On entry, D contains the diagonal elements of the
</span><span class="comment">*</span><span class="comment"> bidiagonal matrix whose SVD is desired. On normal exit,
</span><span class="comment">*</span><span class="comment"> D contains the singular values in decreasing order.
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> E (input/output) DOUBLE PRECISION array, dimension (N)
</span><span class="comment">*</span><span class="comment"> On entry, elements E(1:N-1) contain the off-diagonal elements
</span><span class="comment">*</span><span class="comment"> of the bidiagonal matrix whose SVD is desired.
</span><span class="comment">*</span><span class="comment"> On exit, E is overwritten.
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> WORK (workspace) DOUBLE PRECISION array, dimension (4*N)
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> INFO (output) INTEGER
</span><span class="comment">*</span><span class="comment"> = 0: successful exit
</span><span class="comment">*</span><span class="comment"> < 0: if INFO = -i, the i-th argument had an illegal value
</span><span class="comment">*</span><span class="comment"> > 0: the algorithm failed
</span><span class="comment">*</span><span class="comment"> = 1, a split was marked by a positive value in E
</span><span class="comment">*</span><span class="comment"> = 2, current block of Z not diagonalized after 30*N
</span><span class="comment">*</span><span class="comment"> iterations (in inner while loop)
</span><span class="comment">*</span><span class="comment"> = 3, termination criterion of outer while loop not met
</span><span class="comment">*</span><span class="comment"> (program created more than N unreduced blocks)
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> =====================================================================
</span><span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> .. Parameters ..
</span> DOUBLE PRECISION ZERO
PARAMETER ( ZERO = 0.0D0 )
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. Local Scalars ..
</span> INTEGER I, IINFO
DOUBLE PRECISION EPS, SCALE, SAFMIN, SIGMN, SIGMX
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. External Subroutines ..
</span> EXTERNAL DCOPY, <a name="DLAS2.69"></a><a href="dlas2.f.html#DLAS2.1">DLAS2</a>, <a name="DLASCL.69"></a><a href="dlascl.f.html#DLASCL.1">DLASCL</a>, <a name="DLASQ2.69"></a><a href="dlasq2.f.html#DLASQ2.1">DLASQ2</a>, <a name="DLASRT.69"></a><a href="dlasrt.f.html#DLASRT.1">DLASRT</a>, <a name="XERBLA.69"></a><a href="xerbla.f.html#XERBLA.1">XERBLA</a>
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. External Functions ..
</span> DOUBLE PRECISION <a name="DLAMCH.72"></a><a href="dlamch.f.html#DLAMCH.1">DLAMCH</a>
EXTERNAL <a name="DLAMCH.73"></a><a href="dlamch.f.html#DLAMCH.1">DLAMCH</a>
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. Intrinsic Functions ..
</span> INTRINSIC ABS, MAX, SQRT
<span class="comment">*</span><span class="comment"> ..
</span><span class="comment">*</span><span class="comment"> .. Executable Statements ..
</span><span class="comment">*</span><span class="comment">
</span> INFO = 0
IF( N.LT.0 ) THEN
INFO = -2
CALL <a name="XERBLA.83"></a><a href="xerbla.f.html#XERBLA.1">XERBLA</a>( <span class="string">'<a name="DLASQ1.83"></a><a href="dlasq1.f.html#DLASQ1.1">DLASQ1</a>'</span>, -INFO )
RETURN
ELSE IF( N.EQ.0 ) THEN
RETURN
ELSE IF( N.EQ.1 ) THEN
D( 1 ) = ABS( D( 1 ) )
RETURN
ELSE IF( N.EQ.2 ) THEN
CALL <a name="DLAS2.91"></a><a href="dlas2.f.html#DLAS2.1">DLAS2</a>( D( 1 ), E( 1 ), D( 2 ), SIGMN, SIGMX )
D( 1 ) = SIGMX
D( 2 ) = SIGMN
RETURN
END IF
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Estimate the largest singular value.
</span><span class="comment">*</span><span class="comment">
</span> SIGMX = ZERO
DO 10 I = 1, N - 1
D( I ) = ABS( D( I ) )
SIGMX = MAX( SIGMX, ABS( E( I ) ) )
10 CONTINUE
D( N ) = ABS( D( N ) )
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Early return if SIGMX is zero (matrix is already diagonal).
</span><span class="comment">*</span><span class="comment">
</span> IF( SIGMX.EQ.ZERO ) THEN
CALL <a name="DLASRT.109"></a><a href="dlasrt.f.html#DLASRT.1">DLASRT</a>( <span class="string">'D'</span>, N, D, IINFO )
RETURN
END IF
<span class="comment">*</span><span class="comment">
</span> DO 20 I = 1, N
SIGMX = MAX( SIGMX, D( I ) )
20 CONTINUE
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Copy D and E into WORK (in the Z format) and scale (squaring the
</span><span class="comment">*</span><span class="comment"> input data makes scaling by a power of the radix pointless).
</span><span class="comment">*</span><span class="comment">
</span> EPS = <a name="DLAMCH.120"></a><a href="dlamch.f.html#DLAMCH.1">DLAMCH</a>( <span class="string">'Precision'</span> )
SAFMIN = <a name="DLAMCH.121"></a><a href="dlamch.f.html#DLAMCH.1">DLAMCH</a>( <span class="string">'Safe minimum'</span> )
SCALE = SQRT( EPS / SAFMIN )
CALL DCOPY( N, D, 1, WORK( 1 ), 2 )
CALL DCOPY( N-1, E, 1, WORK( 2 ), 2 )
CALL <a name="DLASCL.125"></a><a href="dlascl.f.html#DLASCL.1">DLASCL</a>( <span class="string">'G'</span>, 0, 0, SIGMX, SCALE, 2*N-1, 1, WORK, 2*N-1,
$ IINFO )
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> Compute the q's and e's.
</span><span class="comment">*</span><span class="comment">
</span> DO 30 I = 1, 2*N - 1
WORK( I ) = WORK( I )**2
30 CONTINUE
WORK( 2*N ) = ZERO
<span class="comment">*</span><span class="comment">
</span> CALL <a name="DLASQ2.135"></a><a href="dlasq2.f.html#DLASQ2.1">DLASQ2</a>( N, WORK, INFO )
<span class="comment">*</span><span class="comment">
</span> IF( INFO.EQ.0 ) THEN
DO 40 I = 1, N
D( I ) = SQRT( WORK( I ) )
40 CONTINUE
CALL <a name="DLASCL.141"></a><a href="dlascl.f.html#DLASCL.1">DLASCL</a>( <span class="string">'G'</span>, 0, 0, SCALE, SIGMX, N, 1, D, N, IINFO )
END IF
<span class="comment">*</span><span class="comment">
</span> RETURN
<span class="comment">*</span><span class="comment">
</span><span class="comment">*</span><span class="comment"> End of <a name="DLASQ1.146"></a><a href="dlasq1.f.html#DLASQ1.1">DLASQ1</a>
</span><span class="comment">*</span><span class="comment">
</span> END
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