502 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			502 lines
		
	
	
		
			16 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
#include "clapack.h"
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/* Table of constant values */
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static integer c__9 = 9;
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static integer c__0 = 0;
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static doublereal c_b15 = 1.;
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static integer c__1 = 1;
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static doublereal c_b29 = 0.;
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/* Subroutine */ int dbdsdc_(char *uplo, char *compq, integer *n, doublereal *
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	d__, doublereal *e, doublereal *u, integer *ldu, doublereal *vt, 
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	integer *ldvt, doublereal *q, integer *iq, doublereal *work, integer *
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	iwork, integer *info)
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{
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    /* System generated locals */
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    integer u_dim1, u_offset, vt_dim1, vt_offset, i__1, i__2;
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    doublereal d__1;
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    /* Builtin functions */
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    double d_sign(doublereal *, doublereal *), log(doublereal);
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    /* Local variables */
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    integer i__, j, k;
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    doublereal p, r__;
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    integer z__, ic, ii, kk;
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    doublereal cs;
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    integer is, iu;
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    doublereal sn;
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    integer nm1;
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    doublereal eps;
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    integer ivt, difl, difr, ierr, perm, mlvl, sqre;
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    extern logical lsame_(char *, char *);
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    extern /* Subroutine */ int dlasr_(char *, char *, char *, integer *, 
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	    integer *, doublereal *, doublereal *, doublereal *, integer *), dcopy_(integer *, doublereal *, integer *
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, doublereal *, integer *), dswap_(integer *, doublereal *, 
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	    integer *, doublereal *, integer *);
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    integer poles, iuplo, nsize, start;
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    extern /* Subroutine */ int dlasd0_(integer *, integer *, doublereal *, 
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	    doublereal *, doublereal *, integer *, doublereal *, integer *, 
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	    integer *, integer *, doublereal *, integer *);
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    extern doublereal dlamch_(char *);
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    extern /* Subroutine */ int dlasda_(integer *, integer *, integer *, 
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	    integer *, doublereal *, doublereal *, doublereal *, integer *, 
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	    doublereal *, integer *, doublereal *, doublereal *, doublereal *, 
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	     doublereal *, integer *, integer *, integer *, integer *, 
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	    doublereal *, doublereal *, doublereal *, doublereal *, integer *, 
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	     integer *), dlascl_(char *, integer *, integer *, doublereal *, 
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	    doublereal *, integer *, integer *, doublereal *, integer *, 
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	    integer *), dlasdq_(char *, integer *, integer *, integer 
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	    *, integer *, integer *, doublereal *, doublereal *, doublereal *, 
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	     integer *, doublereal *, integer *, doublereal *, integer *, 
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	    doublereal *, integer *), dlaset_(char *, integer *, 
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	    integer *, doublereal *, doublereal *, doublereal *, integer *), dlartg_(doublereal *, doublereal *, doublereal *, 
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	    doublereal *, doublereal *);
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    extern integer ilaenv_(integer *, char *, char *, integer *, integer *, 
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	    integer *, integer *);
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    extern /* Subroutine */ int xerbla_(char *, integer *);
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    integer givcol;
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    extern doublereal dlanst_(char *, integer *, doublereal *, doublereal *);
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    integer icompq;
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    doublereal orgnrm;
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    integer givnum, givptr, qstart, smlsiz, wstart, smlszp;
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/*  -- LAPACK routine (version 3.1) -- */
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/*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
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/*     November 2006 */
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/*     .. Scalar Arguments .. */
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/*     .. */
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/*     .. Array Arguments .. */
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/*     .. */
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/*  Purpose */
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/*  ======= */
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/*  DBDSDC computes the singular value decomposition (SVD) of a real */
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/*  N-by-N (upper or lower) bidiagonal matrix B:  B = U * S * VT, */
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/*  using a divide and conquer method, where S is a diagonal matrix */
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/*  with non-negative diagonal elements (the singular values of B), and */
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/*  U and VT are orthogonal matrices of left and right singular vectors, */
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/*  respectively. DBDSDC can be used to compute all singular values, */
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/*  and optionally, singular vectors or singular vectors in compact form. */
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/*  This code makes very mild assumptions about floating point */
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/*  arithmetic. It will work on machines with a guard digit in */
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/*  add/subtract, or on those binary machines without guard digits */
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/*  which subtract like the Cray X-MP, Cray Y-MP, Cray C-90, or Cray-2. */
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/*  It could conceivably fail on hexadecimal or decimal machines */
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/*  without guard digits, but we know of none.  See DLASD3 for details. */
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/*  The code currently calls DLASDQ if singular values only are desired. */
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/*  However, it can be slightly modified to compute singular values */
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/*  using the divide and conquer method. */
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/*  Arguments */
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/*  ========= */
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/*  UPLO    (input) CHARACTER*1 */
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/*          = 'U':  B is upper bidiagonal. */
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/*          = 'L':  B is lower bidiagonal. */
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/*  COMPQ   (input) CHARACTER*1 */
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/*          Specifies whether singular vectors are to be computed */
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/*          as follows: */
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/*          = 'N':  Compute singular values only; */
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/*          = 'P':  Compute singular values and compute singular */
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/*                  vectors in compact form; */
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/*          = 'I':  Compute singular values and singular vectors. */
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/*  N       (input) INTEGER */
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/*          The order of the matrix B.  N >= 0. */
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/*  D       (input/output) DOUBLE PRECISION array, dimension (N) */
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/*          On entry, the n diagonal elements of the bidiagonal matrix B. */
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/*          On exit, if INFO=0, the singular values of B. */
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/*  E       (input/output) DOUBLE PRECISION array, dimension (N-1) */
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/*          On entry, the elements of E contain the offdiagonal */
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/*          elements of the bidiagonal matrix whose SVD is desired. */
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/*          On exit, E has been destroyed. */
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/*  U       (output) DOUBLE PRECISION array, dimension (LDU,N) */
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/*          If  COMPQ = 'I', then: */
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/*             On exit, if INFO = 0, U contains the left singular vectors */
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/*             of the bidiagonal matrix. */
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/*          For other values of COMPQ, U is not referenced. */
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/*  LDU     (input) INTEGER */
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/*          The leading dimension of the array U.  LDU >= 1. */
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/*          If singular vectors are desired, then LDU >= max( 1, N ). */
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/*  VT      (output) DOUBLE PRECISION array, dimension (LDVT,N) */
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/*          If  COMPQ = 'I', then: */
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/*             On exit, if INFO = 0, VT' contains the right singular */
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/*             vectors of the bidiagonal matrix. */
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/*          For other values of COMPQ, VT is not referenced. */
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/*  LDVT    (input) INTEGER */
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/*          The leading dimension of the array VT.  LDVT >= 1. */
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/*          If singular vectors are desired, then LDVT >= max( 1, N ). */
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/*  Q       (output) DOUBLE PRECISION array, dimension (LDQ) */
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/*          If  COMPQ = 'P', then: */
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/*             On exit, if INFO = 0, Q and IQ contain the left */
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/*             and right singular vectors in a compact form, */
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/*             requiring O(N log N) space instead of 2*N**2. */
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/*             In particular, Q contains all the DOUBLE PRECISION data in */
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/*             LDQ >= N*(11 + 2*SMLSIZ + 8*INT(LOG_2(N/(SMLSIZ+1)))) */
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/*             words of memory, where SMLSIZ is returned by ILAENV and */
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/*             is equal to the maximum size of the subproblems at the */
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/*             bottom of the computation tree (usually about 25). */
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/*          For other values of COMPQ, Q is not referenced. */
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/*  IQ      (output) INTEGER array, dimension (LDIQ) */
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/*          If  COMPQ = 'P', then: */
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/*             On exit, if INFO = 0, Q and IQ contain the left */
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/*             and right singular vectors in a compact form, */
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/*             requiring O(N log N) space instead of 2*N**2. */
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/*             In particular, IQ contains all INTEGER data in */
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/*             LDIQ >= N*(3 + 3*INT(LOG_2(N/(SMLSIZ+1)))) */
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/*             words of memory, where SMLSIZ is returned by ILAENV and */
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/*             is equal to the maximum size of the subproblems at the */
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/*             bottom of the computation tree (usually about 25). */
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/*          For other values of COMPQ, IQ is not referenced. */
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/*  WORK    (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK)) */
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/*          If COMPQ = 'N' then LWORK >= (4 * N). */
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/*          If COMPQ = 'P' then LWORK >= (6 * N). */
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/*          If COMPQ = 'I' then LWORK >= (3 * N**2 + 4 * N). */
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/*  IWORK   (workspace) INTEGER array, dimension (8*N) */
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/*  INFO    (output) INTEGER */
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/*          = 0:  successful exit. */
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/*          < 0:  if INFO = -i, the i-th argument had an illegal value. */
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/*          > 0:  The algorithm failed to compute an singular value. */
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/*                The update process of divide and conquer failed. */
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/*  Further Details */
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/*  =============== */
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/*  Based on contributions by */
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/*     Ming Gu and Huan Ren, Computer Science Division, University of */
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/*     California at Berkeley, USA */
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/*  ===================================================================== */
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/*  Changed dimension statement in comment describing E from (N) to */
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/*  (N-1).  Sven, 17 Feb 05. */
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/*  ===================================================================== */
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/*     .. Parameters .. */
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/*     .. */
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/*     .. Local Scalars .. */
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/*     .. */
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/*     .. External Functions .. */
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/*     .. */
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/*     .. External Subroutines .. */
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/*     .. */
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/*     .. Intrinsic Functions .. */
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/*     .. */
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/*     .. Executable Statements .. */
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/*     Test the input parameters. */
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    /* Parameter adjustments */
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    --d__;
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    --e;
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    u_dim1 = *ldu;
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    u_offset = 1 + u_dim1;
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    u -= u_offset;
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    vt_dim1 = *ldvt;
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    vt_offset = 1 + vt_dim1;
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    vt -= vt_offset;
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    --q;
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    --iq;
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    --work;
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    --iwork;
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    /* Function Body */
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    *info = 0;
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    iuplo = 0;
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    if (lsame_(uplo, "U")) {
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	iuplo = 1;
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    }
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    if (lsame_(uplo, "L")) {
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	iuplo = 2;
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    }
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    if (lsame_(compq, "N")) {
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	icompq = 0;
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    } else if (lsame_(compq, "P")) {
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	icompq = 1;
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    } else if (lsame_(compq, "I")) {
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	icompq = 2;
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    } else {
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	icompq = -1;
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    }
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    if (iuplo == 0) {
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	*info = -1;
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    } else if (icompq < 0) {
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	*info = -2;
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    } else if (*n < 0) {
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	*info = -3;
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    } else if (*ldu < 1 || icompq == 2 && *ldu < *n) {
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	*info = -7;
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    } else if (*ldvt < 1 || icompq == 2 && *ldvt < *n) {
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	*info = -9;
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    }
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    if (*info != 0) {
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	i__1 = -(*info);
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	xerbla_("DBDSDC", &i__1);
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	return 0;
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    }
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/*     Quick return if possible */
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    if (*n == 0) {
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	return 0;
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    }
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    smlsiz = ilaenv_(&c__9, "DBDSDC", " ", &c__0, &c__0, &c__0, &c__0);
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    if (*n == 1) {
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	if (icompq == 1) {
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	    q[1] = d_sign(&c_b15, &d__[1]);
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	    q[smlsiz * *n + 1] = 1.;
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	} else if (icompq == 2) {
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	    u[u_dim1 + 1] = d_sign(&c_b15, &d__[1]);
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	    vt[vt_dim1 + 1] = 1.;
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	}
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	d__[1] = abs(d__[1]);
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	return 0;
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    }
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    nm1 = *n - 1;
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/*     If matrix lower bidiagonal, rotate to be upper bidiagonal */
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/*     by applying Givens rotations on the left */
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    wstart = 1;
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    qstart = 3;
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    if (icompq == 1) {
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	dcopy_(n, &d__[1], &c__1, &q[1], &c__1);
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	i__1 = *n - 1;
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	dcopy_(&i__1, &e[1], &c__1, &q[*n + 1], &c__1);
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    }
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    if (iuplo == 2) {
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	qstart = 5;
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	wstart = (*n << 1) - 1;
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	i__1 = *n - 1;
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	for (i__ = 1; i__ <= i__1; ++i__) {
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	    dlartg_(&d__[i__], &e[i__], &cs, &sn, &r__);
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	    d__[i__] = r__;
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	    e[i__] = sn * d__[i__ + 1];
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	    d__[i__ + 1] = cs * d__[i__ + 1];
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	    if (icompq == 1) {
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		q[i__ + (*n << 1)] = cs;
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		q[i__ + *n * 3] = sn;
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	    } else if (icompq == 2) {
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		work[i__] = cs;
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		work[nm1 + i__] = -sn;
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	    }
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/* L10: */
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	}
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    }
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/*     If ICOMPQ = 0, use DLASDQ to compute the singular values. */
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    if (icompq == 0) {
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	dlasdq_("U", &c__0, n, &c__0, &c__0, &c__0, &d__[1], &e[1], &vt[
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		vt_offset], ldvt, &u[u_offset], ldu, &u[u_offset], ldu, &work[
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		wstart], info);
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	goto L40;
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    }
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/*     If N is smaller than the minimum divide size SMLSIZ, then solve */
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/*     the problem with another solver. */
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    if (*n <= smlsiz) {
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	if (icompq == 2) {
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	    dlaset_("A", n, n, &c_b29, &c_b15, &u[u_offset], ldu);
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	    dlaset_("A", n, n, &c_b29, &c_b15, &vt[vt_offset], ldvt);
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	    dlasdq_("U", &c__0, n, n, n, &c__0, &d__[1], &e[1], &vt[vt_offset]
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, ldvt, &u[u_offset], ldu, &u[u_offset], ldu, &work[
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		    wstart], info);
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	} else if (icompq == 1) {
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	    iu = 1;
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	    ivt = iu + *n;
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	    dlaset_("A", n, n, &c_b29, &c_b15, &q[iu + (qstart - 1) * *n], n);
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	    dlaset_("A", n, n, &c_b29, &c_b15, &q[ivt + (qstart - 1) * *n], n);
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	    dlasdq_("U", &c__0, n, n, n, &c__0, &d__[1], &e[1], &q[ivt + (
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		    qstart - 1) * *n], n, &q[iu + (qstart - 1) * *n], n, &q[
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		    iu + (qstart - 1) * *n], n, &work[wstart], info);
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	}
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	goto L40;
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    }
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    if (icompq == 2) {
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	dlaset_("A", n, n, &c_b29, &c_b15, &u[u_offset], ldu);
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	dlaset_("A", n, n, &c_b29, &c_b15, &vt[vt_offset], ldvt);
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    }
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/*     Scale. */
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    orgnrm = dlanst_("M", n, &d__[1], &e[1]);
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    if (orgnrm == 0.) {
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	return 0;
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    }
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    dlascl_("G", &c__0, &c__0, &orgnrm, &c_b15, n, &c__1, &d__[1], n, &ierr);
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    dlascl_("G", &c__0, &c__0, &orgnrm, &c_b15, &nm1, &c__1, &e[1], &nm1, &
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	    ierr);
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    eps = dlamch_("Epsilon");
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    mlvl = (integer) (log((doublereal) (*n) / (doublereal) (smlsiz + 1)) / 
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	    log(2.)) + 1;
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    smlszp = smlsiz + 1;
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    if (icompq == 1) {
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	iu = 1;
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	ivt = smlsiz + 1;
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	difl = ivt + smlszp;
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	difr = difl + mlvl;
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	z__ = difr + (mlvl << 1);
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	ic = z__ + mlvl;
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	is = ic + 1;
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	poles = is + 1;
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	givnum = poles + (mlvl << 1);
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	k = 1;
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	givptr = 2;
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	perm = 3;
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	givcol = perm + mlvl;
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    }
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    i__1 = *n;
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    for (i__ = 1; i__ <= i__1; ++i__) {
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	if ((d__1 = d__[i__], abs(d__1)) < eps) {
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	    d__[i__] = d_sign(&eps, &d__[i__]);
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	}
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/* L20: */
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    }
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    start = 1;
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    sqre = 0;
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    i__1 = nm1;
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    for (i__ = 1; i__ <= i__1; ++i__) {
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	if ((d__1 = e[i__], abs(d__1)) < eps || i__ == nm1) {
 | 
						|
 | 
						|
/*        Subproblem found. First determine its size and then */
 | 
						|
/*        apply divide and conquer on it. */
 | 
						|
 | 
						|
	    if (i__ < nm1) {
 | 
						|
 | 
						|
/*        A subproblem with E(I) small for I < NM1. */
 | 
						|
 | 
						|
		nsize = i__ - start + 1;
 | 
						|
	    } else if ((d__1 = e[i__], abs(d__1)) >= eps) {
 | 
						|
 | 
						|
/*        A subproblem with E(NM1) not too small but I = NM1. */
 | 
						|
 | 
						|
		nsize = *n - start + 1;
 | 
						|
	    } else {
 | 
						|
 | 
						|
/*        A subproblem with E(NM1) small. This implies an */
 | 
						|
/*        1-by-1 subproblem at D(N). Solve this 1-by-1 problem */
 | 
						|
/*        first. */
 | 
						|
 | 
						|
		nsize = i__ - start + 1;
 | 
						|
		if (icompq == 2) {
 | 
						|
		    u[*n + *n * u_dim1] = d_sign(&c_b15, &d__[*n]);
 | 
						|
		    vt[*n + *n * vt_dim1] = 1.;
 | 
						|
		} else if (icompq == 1) {
 | 
						|
		    q[*n + (qstart - 1) * *n] = d_sign(&c_b15, &d__[*n]);
 | 
						|
		    q[*n + (smlsiz + qstart - 1) * *n] = 1.;
 | 
						|
		}
 | 
						|
		d__[*n] = (d__1 = d__[*n], abs(d__1));
 | 
						|
	    }
 | 
						|
	    if (icompq == 2) {
 | 
						|
		dlasd0_(&nsize, &sqre, &d__[start], &e[start], &u[start + 
 | 
						|
			start * u_dim1], ldu, &vt[start + start * vt_dim1], 
 | 
						|
			ldvt, &smlsiz, &iwork[1], &work[wstart], info);
 | 
						|
	    } else {
 | 
						|
		dlasda_(&icompq, &smlsiz, &nsize, &sqre, &d__[start], &e[
 | 
						|
			start], &q[start + (iu + qstart - 2) * *n], n, &q[
 | 
						|
			start + (ivt + qstart - 2) * *n], &iq[start + k * *n], 
 | 
						|
			 &q[start + (difl + qstart - 2) * *n], &q[start + (
 | 
						|
			difr + qstart - 2) * *n], &q[start + (z__ + qstart - 
 | 
						|
			2) * *n], &q[start + (poles + qstart - 2) * *n], &iq[
 | 
						|
			start + givptr * *n], &iq[start + givcol * *n], n, &
 | 
						|
			iq[start + perm * *n], &q[start + (givnum + qstart - 
 | 
						|
			2) * *n], &q[start + (ic + qstart - 2) * *n], &q[
 | 
						|
			start + (is + qstart - 2) * *n], &work[wstart], &
 | 
						|
			iwork[1], info);
 | 
						|
		if (*info != 0) {
 | 
						|
		    return 0;
 | 
						|
		}
 | 
						|
	    }
 | 
						|
	    start = i__ + 1;
 | 
						|
	}
 | 
						|
/* L30: */
 | 
						|
    }
 | 
						|
 | 
						|
/*     Unscale */
 | 
						|
 | 
						|
    dlascl_("G", &c__0, &c__0, &c_b15, &orgnrm, n, &c__1, &d__[1], n, &ierr);
 | 
						|
L40:
 | 
						|
 | 
						|
/*     Use Selection Sort to minimize swaps of singular vectors */
 | 
						|
 | 
						|
    i__1 = *n;
 | 
						|
    for (ii = 2; ii <= i__1; ++ii) {
 | 
						|
	i__ = ii - 1;
 | 
						|
	kk = i__;
 | 
						|
	p = d__[i__];
 | 
						|
	i__2 = *n;
 | 
						|
	for (j = ii; j <= i__2; ++j) {
 | 
						|
	    if (d__[j] > p) {
 | 
						|
		kk = j;
 | 
						|
		p = d__[j];
 | 
						|
	    }
 | 
						|
/* L50: */
 | 
						|
	}
 | 
						|
	if (kk != i__) {
 | 
						|
	    d__[kk] = d__[i__];
 | 
						|
	    d__[i__] = p;
 | 
						|
	    if (icompq == 1) {
 | 
						|
		iq[i__] = kk;
 | 
						|
	    } else if (icompq == 2) {
 | 
						|
		dswap_(n, &u[i__ * u_dim1 + 1], &c__1, &u[kk * u_dim1 + 1], &
 | 
						|
			c__1);
 | 
						|
		dswap_(n, &vt[i__ + vt_dim1], ldvt, &vt[kk + vt_dim1], ldvt);
 | 
						|
	    }
 | 
						|
	} else if (icompq == 1) {
 | 
						|
	    iq[i__] = i__;
 | 
						|
	}
 | 
						|
/* L60: */
 | 
						|
    }
 | 
						|
 | 
						|
/*     If ICOMPQ = 1, use IQ(N,1) as the indicator for UPLO */
 | 
						|
 | 
						|
    if (icompq == 1) {
 | 
						|
	if (iuplo == 1) {
 | 
						|
	    iq[*n] = 1;
 | 
						|
	} else {
 | 
						|
	    iq[*n] = 0;
 | 
						|
	}
 | 
						|
    }
 | 
						|
 | 
						|
/*     If B is lower bidiagonal, update U by those Givens rotations */
 | 
						|
/*     which rotated B to be upper bidiagonal */
 | 
						|
 | 
						|
    if (iuplo == 2 && icompq == 2) {
 | 
						|
	dlasr_("L", "V", "B", n, n, &work[1], &work[*n], &u[u_offset], ldu);
 | 
						|
    }
 | 
						|
 | 
						|
    return 0;
 | 
						|
 | 
						|
/*     End of DBDSDC */
 | 
						|
 | 
						|
} /* dbdsdc_ */
 |