/*  -- translated by f2c (version 19940927).

   You must link the resulting object file with the libraries:

	-lf2c -lm   (in that order)

*/

#include "f2c.h"

/* Table of constant values */

static doublecomplex c_b1 = {0.,0.};

static integer c__1 = 1;

static integer c__5 = 5;

static logical c_true = TRUE_;

static logical c_false = FALSE_;

/* Subroutine */ int zlatms_(integer *m, integer *n, char *dist, integer *

	iseed, char *sym, doublereal *d, integer *mode, doublereal *cond, 

	doublereal *dmax__, integer *kl, integer *ku, char *pack, 

	doublecomplex *a, integer *lda, doublecomplex *work, integer *info)

{

    /* System generated locals */

    integer a_dim1, a_offset, i__1, i__2, i__3, i__4, i__5, i__6;

    doublereal d__1, d__2, d__3;

    doublecomplex z__1, z__2, z__3;

    logical L__1;

    /* Builtin functions */

    double cos(doublereal), sin(doublereal);

    void d_cnjg(doublecomplex *, doublecomplex *);

    /* Local variables */

    static integer ilda, icol;

    static doublereal temp;

    static integer irow, isym;

    static logical zsym;

    static doublecomplex c;

    static integer i, j, k;

    static doublecomplex s;

    static doublereal alpha, angle;

    static integer ipack;

    static doublereal realc;

    static integer ioffg;

    extern /* Subroutine */ int dscal_(integer *, doublereal *, doublereal *, 

	    integer *);

    extern logical lsame_(char *, char *);

    static integer iinfo;

    static doublecomplex ctemp;

    static integer idist, mnmin, iskew;

    static doublecomplex extra, dummy;

    extern /* Subroutine */ int dlatm1_(integer *, doublereal *, integer *, 

	    integer *, integer *, doublereal *, integer *, integer *);

    static integer ic, jc, nc, il;

    static doublecomplex ct;

    static integer iendch, ir, jr, ipackg, mr, minlda;

    extern doublereal dlarnd_(integer *, integer *);

    static doublecomplex st;

    extern /* Subroutine */ int zlagge_(integer *, integer *, integer *, 

	    integer *, doublereal *, doublecomplex *, integer *, integer *, 

	    doublecomplex *, integer *), zlaghe_(integer *, integer *, 

	    doublereal *, doublecomplex *, integer *, integer *, 

	    doublecomplex *, integer *), xerbla_(char *, integer *);

    static logical iltemp, givens;

    static integer ioffst, irsign;

    extern /* Double Complex */ void zlarnd_(doublecomplex *, integer *, 

	    integer *);

    extern /* Subroutine */ int zlaset_(char *, integer *, integer *, 

	    doublecomplex *, doublecomplex *, doublecomplex *, integer *), zlartg_(doublecomplex *, doublecomplex *, doublereal *, 

	    doublecomplex *, doublecomplex *);

    static logical ilextr;

    extern /* Subroutine */ int zlagsy_(integer *, integer *, doublereal *, 

	    doublecomplex *, integer *, integer *, doublecomplex *, integer *)

	    ;

    static logical topdwn;

    static integer ir1, ir2, isympk;

    extern /* Subroutine */ int zlarot_(logical *, logical *, logical *, 

	    integer *, doublecomplex *, doublecomplex *, doublecomplex *, 

	    integer *, doublecomplex *, doublecomplex *);

    static integer jch, llb, jkl, jku, uub;

/*  -- LAPACK test routine (version 2.0) --   

       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   

       Courant Institute, Argonne National Lab, and Rice University   

       September 30, 1994   

    Purpose   

    =======   

       ZLATMS generates random matrices with specified singular values   

       (or hermitian with specified eigenvalues)   

       for testing LAPACK programs.   

       ZLATMS operates by applying the following sequence of   

       operations:   

         Set the diagonal to D, where D may be input or   

            computed according to MODE, COND, DMAX, and SYM   

            as described below.   

         Generate a matrix with the appropriate band structure, by one   

            of two methods:   

         Method A:   

             Generate a dense M x N matrix by multiplying D on the left   

                 and the right by random unitary matrices, then:   

             Reduce the bandwidth according to KL and KU, using   

                 Householder transformations.   

         Method B:   

             Convert the bandwidth-0 (i.e., diagonal) matrix to a   

                 bandwidth-1 matrix using Givens rotations, "chasing"   

                 out-of-band elements back, much as in QR; then convert   

                 the bandwidth-1 to a bandwidth-2 matrix, etc.  Note   

                 that for reasonably small bandwidths (relative to M and 

                 N) this requires less storage, as a dense matrix is not 

                 generated.  Also, for hermitian or symmetric matrices,   

                 only one triangle is generated.   

         Method A is chosen if the bandwidth is a large fraction of the   

             order of the matrix, and LDA is at least M (so a dense   

             matrix can be stored.)  Method B is chosen if the bandwidth 

             is small (< 1/2 N for hermitian or symmetric, < .3 N+M for   

             non-symmetric), or LDA is less than M and not less than the 

             bandwidth.   

         Pack the matrix if desired. Options specified by PACK are:   

            no packing   

            zero out upper half (if hermitian)   

            zero out lower half (if hermitian)   

            store the upper half columnwise (if hermitian or upper   

                  triangular)   

            store the lower half columnwise (if hermitian or lower   

                  triangular)   

            store the lower triangle in banded format (if hermitian or   

                  lower triangular)   

            store the upper triangle in banded format (if hermitian or   

                  upper triangular)   

            store the entire matrix in banded format   

         If Method B is chosen, and band format is specified, then the   

            matrix will be generated in the band format, so no repacking 

            will be necessary.   

    Arguments   

    =========   

    M      - INTEGER   

             The number of rows of A. Not modified.   

    N      - INTEGER   

             The number of columns of A. N must equal M if the matrix   

             is symmetric or hermitian (i.e., if SYM is not 'N')   

             Not modified.   

    DIST   - CHARACTER*1   

             On entry, DIST specifies the type of distribution to be used 

             to generate the random eigen-/singular values.   

             'U' => UNIFORM( 0, 1 )  ( 'U' for uniform )   

             'S' => UNIFORM( -1, 1 ) ( 'S' for symmetric )   

             'N' => NORMAL( 0, 1 )   ( 'N' for normal )   

             Not modified.   

    ISEED  - INTEGER array, dimension ( 4 )   

             On entry ISEED specifies the seed of the random number   

             generator. They should lie between 0 and 4095 inclusive,   

             and ISEED(4) should be odd. The random number generator   

             uses a linear congruential sequence limited to small   

             integers, and so should produce machine independent   

             random numbers. The values of ISEED are changed on   

             exit, and can be used in the next call to ZLATMS   

             to continue the same random number sequence.   

             Changed on exit.   

    SYM    - CHARACTER*1   

             If SYM='H', the generated matrix is hermitian, with   

               eigenvalues specified by D, COND, MODE, and DMAX; they   

               may be positive, negative, or zero.   

             If SYM='P', the generated matrix is hermitian, with   

               eigenvalues (= singular values) specified by D, COND,   

               MODE, and DMAX; they will not be negative.   

             If SYM='N', the generated matrix is nonsymmetric, with   

               singular values specified by D, COND, MODE, and DMAX;   

               they will not be negative.   

             If SYM='S', the generated matrix is (complex) symmetric,   

               with singular values specified by D, COND, MODE, and   

               DMAX; they will not be negative.   

             Not modified.   

    D      - DOUBLE PRECISION array, dimension ( MIN( M, N ) )   

             This array is used to specify the singular values or   

             eigenvalues of A (see SYM, above.)  If MODE=0, then D is   

             assumed to contain the singular/eigenvalues, otherwise   

             they will be computed according to MODE, COND, and DMAX,   

             and placed in D.   

             Modified if MODE is nonzero.   

    MODE   - INTEGER   

             On entry this describes how the singular/eigenvalues are to 

             be specified:   

             MODE = 0 means use D as input   

             MODE = 1 sets D(1)=1 and D(2:N)=1.0/COND   

             MODE = 2 sets D(1:N-1)=1 and D(N)=1.0/COND   

             MODE = 3 sets D(I)=COND**(-(I-1)/(N-1))   

             MODE = 4 sets D(i)=1 - (i-1)/(N-1)*(1 - 1/COND)   

             MODE = 5 sets D to random numbers in the range   

                      ( 1/COND , 1 ) such that their logarithms   

                      are uniformly distributed.   

             MODE = 6 set D to random numbers from same distribution   

                      as the rest of the matrix.   

             MODE < 0 has the same meaning as ABS(MODE), except that   

                the order of the elements of D is reversed.   

             Thus if MODE is positive, D has entries ranging from   

                1 to 1/COND, if negative, from 1/COND to 1,   

             If SYM='H', and MODE is neither 0, 6, nor -6, then   

                the elements of D will also be multiplied by a random   

                sign (i.e., +1 or -1.)   

             Not modified.   

    COND   - DOUBLE PRECISION   

             On entry, this is used as described under MODE above.   

             If used, it must be >= 1. Not modified.   

    DMAX   - DOUBLE PRECISION   

             If MODE is neither -6, 0 nor 6, the contents of D, as   

             computed according to MODE and COND, will be scaled by   

             DMAX / max(abs(D(i))); thus, the maximum absolute eigen- or 

             singular value (which is to say the norm) will be abs(DMAX). 

             Note that DMAX need not be positive: if DMAX is negative   

             (or zero), D will be scaled by a negative number (or zero). 

             Not modified.   

    KL     - INTEGER   

             This specifies the lower bandwidth of the  matrix. For   

             example, KL=0 implies upper triangular, KL=1 implies upper   

             Hessenberg, and KL being at least M-1 means that the matrix 

             has full lower bandwidth.  KL must equal KU if the matrix   

             is symmetric or hermitian.   

             Not modified.   

    KU     - INTEGER   

             This specifies the upper bandwidth of the  matrix. For   

             example, KU=0 implies lower triangular, KU=1 implies lower   

             Hessenberg, and KU being at least N-1 means that the matrix 

             has full upper bandwidth.  KL must equal KU if the matrix   

             is symmetric or hermitian.   

             Not modified.   

    PACK   - CHARACTER*1   

             This specifies packing of matrix as follows:   

             'N' => no packing   

             'U' => zero out all subdiagonal entries (if symmetric   

                    or hermitian)   

             'L' => zero out all superdiagonal entries (if symmetric   

                    or hermitian)   

             'C' => store the upper triangle columnwise (only if the   

                    matrix is symmetric, hermitian, or upper triangular) 

             'R' => store the lower triangle columnwise (only if the   

                    matrix is symmetric, hermitian, or lower triangular) 

             'B' => store the lower triangle in band storage scheme   

                    (only if the matrix is symmetric, hermitian, or   

                    lower triangular)   

             'Q' => store the upper triangle in band storage scheme   

                    (only if the matrix is symmetric, hermitian, or   

                    upper triangular)   

             'Z' => store the entire matrix in band storage scheme   

                        (pivoting can be provided for by using this   

                        option to store A in the trailing rows of   

                        the allocated storage)   

             Using these options, the various LAPACK packed and banded   

             storage schemes can be obtained:   

             GB                    - use 'Z'   

             PB, SB, HB, or TB     - use 'B' or 'Q'   

             PP, SP, HB, or TP     - use 'C' or 'R'   

             If two calls to ZLATMS differ only in the PACK parameter,   

             they will generate mathematically equivalent matrices.   

             Not modified.   

    A      - COMPLEX*16 array, dimension ( LDA, N )   

             On exit A is the desired test matrix.  A is first generated 

             in full (unpacked) form, and then packed, if so specified   

             by PACK.  Thus, the first M elements of the first N   

             columns will always be modified.  If PACK specifies a   

             packed or banded storage scheme, all LDA elements of the   

             first N columns will be modified; the elements of the   

             array which do not correspond to elements of the generated   

             matrix are set to zero.   

             Modified.   

    LDA    - INTEGER   

             LDA specifies the first dimension of A as declared in the   

             calling program.  If PACK='N', 'U', 'L', 'C', or 'R', then   

             LDA must be at least M.  If PACK='B' or 'Q', then LDA must   

             be at least MIN( KL, M-1) (which is equal to MIN(KU,N-1)).   

             If PACK='Z', LDA must be large enough to hold the packed   

             array: MIN( KU, N-1) + MIN( KL, M-1) + 1.   

             Not modified.   

    WORK   - COMPLEX*16 array, dimension ( 3*MAX( N, M ) )   

             Workspace.   

             Modified.   

    INFO   - INTEGER   

             Error code.  On exit, INFO will be set to one of the   

             following values:   

               0 => normal return   

              -1 => M negative or unequal to N and SYM='S', 'H', or 'P'   

              -2 => N negative   

              -3 => DIST illegal string   

              -5 => SYM illegal string   

              -7 => MODE not in range -6 to 6   

              -8 => COND less than 1.0, and MODE neither -6, 0 nor 6   

             -10 => KL negative   

             -11 => KU negative, or SYM is not 'N' and KU is not equal to 

                    KL   

             -12 => PACK illegal string, or PACK='U' or 'L', and SYM='N'; 

                    or PACK='C' or 'Q' and SYM='N' and KL is not zero;   

                    or PACK='R' or 'B' and SYM='N' and KU is not zero;   

                    or PACK='U', 'L', 'C', 'R', 'B', or 'Q', and M is not 

                    N.   

             -14 => LDA is less than M, or PACK='Z' and LDA is less than 

                    MIN(KU,N-1) + MIN(KL,M-1) + 1.   

              1  => Error return from DLATM1   

              2  => Cannot scale to DMAX (max. sing. value is 0)   

              3  => Error return from ZLAGGE, CLAGHE or CLAGSY   

    ===================================================================== 

       1)      Decode and Test the input parameters.   

               Initialize flags & seed.   

       Parameter adjustments */

    --iseed;

    --d;

    a_dim1 = *lda;

    a_offset = a_dim1 + 1;

    a -= a_offset;

    --work;

    /* Function Body */

    *info = 0;

/*     Quick return if possible */

    if (*m == 0 || *n == 0) {

	return 0;

    }

/*     Decode DIST */

    if (lsame_(dist, "U")) {

	idist = 1;

    } else if (lsame_(dist, "S")) {

	idist = 2;

    } else if (lsame_(dist, "N")) {

	idist = 3;

    } else {

	idist = -1;

    }

/*     Decode SYM */

    if (lsame_(sym, "N")) {

	isym = 1;

	irsign = 0;

	zsym = FALSE_;

    } else if (lsame_(sym, "P")) {

	isym = 2;

	irsign = 0;

	zsym = FALSE_;

    } else if (lsame_(sym, "S")) {

	isym = 2;

	irsign = 0;

	zsym = TRUE_;

    } else if (lsame_(sym, "H")) {

	isym = 2;

	irsign = 1;

	zsym = FALSE_;

    } else {

	isym = -1;

    }

/*     Decode PACK */

    isympk = 0;

    if (lsame_(pack, "N")) {

	ipack = 0;

    } else if (lsame_(pack, "U")) {

	ipack = 1;

	isympk = 1;

    } else if (lsame_(pack, "L")) {

	ipack = 2;

	isympk = 1;

    } else if (lsame_(pack, "C")) {

	ipack = 3;

	isympk = 2;

    } else if (lsame_(pack, "R")) {

	ipack = 4;

	isympk = 3;

    } else if (lsame_(pack, "B")) {

	ipack = 5;

	isympk = 3;

    } else if (lsame_(pack, "Q")) {

	ipack = 6;

	isympk = 2;

    } else if (lsame_(pack, "Z")) {

	ipack = 7;

    } else {

	ipack = -1;

    }

/*     Set certain internal parameters */

    mnmin = min(*m,*n);

/* Computing MIN */

    i__1 = *kl, i__2 = *m - 1;

    llb = min(i__1,i__2);

/* Computing MIN */

    i__1 = *ku, i__2 = *n - 1;

    uub = min(i__1,i__2);

/* Computing MIN */

    i__1 = *m, i__2 = *n + llb;

    mr = min(i__1,i__2);

/* Computing MIN */

    i__1 = *n, i__2 = *m + uub;

    nc = min(i__1,i__2);

    if (ipack == 5 || ipack == 6) {

	minlda = uub + 1;

    } else if (ipack == 7) {

	minlda = llb + uub + 1;

    } else {

	minlda = *m;

    }

/*     Use Givens rotation method if bandwidth small enough,   

       or if LDA is too small to store the matrix unpacked. */

    givens = FALSE_;

    if (isym == 1) {

/* Computing MAX */

	i__1 = 1, i__2 = mr + nc;

	if ((doublereal) (llb + uub) < (doublereal) max(i__1,i__2) * .3) {

	    givens = TRUE_;

	}

    } else {

	if (llb << 1 < *m) {

	    givens = TRUE_;

	}

    }

    if (*lda < *m && *lda >= minlda) {

	givens = TRUE_;

    }

/*     Set INFO if an error */

    if (*m < 0) {

	*info = -1;

    } else if (*m != *n && isym != 1) {

	*info = -1;

    } else if (*n < 0) {

	*info = -2;

    } else if (idist == -1) {

	*info = -3;

    } else if (isym == -1) {

	*info = -5;

    } else if (abs(*mode) > 6) {

	*info = -7;

    } else if (*mode != 0 && abs(*mode) != 6 && *cond < 1.) {

	*info = -8;

    } else if (*kl < 0) {

	*info = -10;

    } else if (*ku < 0 || isym != 1 && *kl != *ku) {

	*info = -11;

    } else if (ipack == -1 || isympk == 1 && isym == 1 || isympk == 2 && isym 

	    == 1 && *kl > 0 || isympk == 3 && isym == 1 && *ku > 0 || isympk 

	    != 0 && *m != *n) {

	*info = -12;

    } else if (*lda < max(1,minlda)) {

	*info = -14;

    }

    if (*info != 0) {

	i__1 = -(*info);

	xerbla_("ZLATMS", &i__1);

	return 0;

    }

/*     Initialize random number generator */

    for (i = 1; i <= 4; ++i) {

	iseed[i] = (i__1 = iseed[i], abs(i__1)) % 4096;

/* L10: */

    }

    if (iseed[4] % 2 != 1) {

	++iseed[4];

    }

/*     2)      Set up D  if indicated.   

               Compute D according to COND and MODE */

    dlatm1_(mode, cond, &irsign, &idist, &iseed[1], &d[1], &mnmin, &iinfo);

    if (iinfo != 0) {

	*info = 1;

	return 0;

    }

/*     Choose Top-Down if D is (apparently) increasing,   

       Bottom-Up if D is (apparently) decreasing. */

    if (abs(d[1]) <= (d__1 = d[mnmin], abs(d__1))) {

	topdwn = TRUE_;

    } else {

	topdwn = FALSE_;

    }

    if (*mode != 0 && abs(*mode) != 6) {

/*        Scale by DMAX */

	temp = abs(d[1]);

	i__1 = mnmin;

	for (i = 2; i <= i__1; ++i) {

/* Computing MAX */

	    d__2 = temp, d__3 = (d__1 = d[i], abs(d__1));

	    temp = max(d__2,d__3);

/* L20: */

	}

	if (temp > 0.) {

	    alpha = *dmax__ / temp;

	} else {

	    *info = 2;

	    return 0;

	}

	dscal_(&mnmin, &alpha, &d[1], &c__1);

    }

    zlaset_("Full", lda, n, &c_b1, &c_b1, &a[a_offset], lda);

/*     3)      Generate Banded Matrix using Givens rotations.   

               Also the special case of UUB=LLB=0   

                 Compute Addressing constants to cover all   

                 storage formats.  Whether GE, HE, SY, GB, HB, or SB,   

                 upper or lower triangle or both,   

                 the (i,j)-th element is in   

                 A( i - ISKEW*j + IOFFST, j ) */

    if (ipack > 4) {

	ilda = *lda - 1;

	iskew = 1;

	if (ipack > 5) {

	    ioffst = uub + 1;

	} else {

	    ioffst = 1;

	}

    } else {

	ilda = *lda;

	iskew = 0;

	ioffst = 0;

    }

/*     IPACKG is the format that the matrix is generated in. If this is   

       different from IPACK, then the matrix must be repacked at the   

       end.  It also signals how to compute the norm, for scaling. */

    ipackg = 0;

/*     Diagonal Matrix -- We are done, unless it   

       is to be stored HP/SP/PP/TP (PACK='R' or 'C') */

    if (llb == 0 && uub == 0) {

	i__1 = mnmin;

	for (j = 1; j <= i__1; ++j) {

	    i__2 = (1 - iskew) * j + ioffst + j * a_dim1;

	    i__3 = j;

	    z__1.r = d[i__3], z__1.i = 0.;

	    a[i__2].r = z__1.r, a[i__2].i = z__1.i;

/* L30: */

	}

	if (ipack <= 2 || ipack >= 5) {

	    ipackg = ipack;

	}

    } else if (givens) {

/*        Check whether to use Givens rotations,   

          Householder transformations, or nothing. */

	if (isym == 1) {

/*           Non-symmetric -- A = U D V */

	    if (ipack > 4) {

		ipackg = ipack;

	    } else {

		ipackg = 0;

	    }

	    i__1 = mnmin;

	    for (j = 1; j <= i__1; ++j) {

		i__2 = (1 - iskew) * j + ioffst + j * a_dim1;

		i__3 = j;

		z__1.r = d[i__3], z__1.i = 0.;

		a[i__2].r = z__1.r, a[i__2].i = z__1.i;

/* L40: */

	    }

	    if (topdwn) {

		jkl = 0;

		i__1 = uub;

		for (jku = 1; jku <= i__1; ++jku) {

/*                 Transform from bandwidth JKL, JKU-1 to 

JKL, JKU   

                   Last row actually rotated is M   

                   Last column actually rotated is MIN( M+

JKU, N )   

   Computing MIN */

		    i__3 = *m + jku;

		    i__2 = min(i__3,*n) + jkl - 1;

		    for (jr = 1; jr <= i__2; ++jr) {

			extra.r = 0., extra.i = 0.;

			angle = dlarnd_(&c__1, &iseed[1]) * 

				6.2831853071795864769252867663;

			d__1 = cos(angle);

			zlarnd_(&z__2, &c__5, &iseed[1]);

			z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;

			c.r = z__1.r, c.i = z__1.i;

			d__1 = sin(angle);

			zlarnd_(&z__2, &c__5, &iseed[1]);

			z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;

			s.r = z__1.r, s.i = z__1.i;

/* Computing MAX */

			i__3 = 1, i__4 = jr - jkl;

			icol = max(i__3,i__4);

			if (jr < *m) {

/* Computing MIN */

			    i__3 = *n, i__4 = jr + jku;

			    il = min(i__3,i__4) + 1 - icol;

			    L__1 = jr > jkl;

			    zlarot_(&c_true, &L__1, &c_false, &il, &c, &s, &a[

				    jr - iskew * icol + ioffst + icol * 

				    a_dim1], &ilda, &extra, &dummy);

			}

/*                    Chase "EXTRA" back up */

			ir = jr;

			ic = icol;

			i__3 = -jkl - jku;

			for (jch = jr - jkl; i__3 < 0 ? jch >= 1 : jch <= 1; 

				jch += i__3) {

			    if (ir < *m) {

				zlartg_(&a[ir + 1 - iskew * (ic + 1) + ioffst 

					+ (ic + 1) * a_dim1], &extra, &realc, 

					&s, &dummy);

				zlarnd_(&z__1, &c__5, &iseed[1]);

				dummy.r = z__1.r, dummy.i = z__1.i;

				z__2.r = realc * dummy.r, z__2.i = realc * 

					dummy.i;

				d_cnjg(&z__1, &z__2);

				c.r = z__1.r, c.i = z__1.i;

				z__3.r = -s.r, z__3.i = -s.i;

				z__2.r = z__3.r * dummy.r - z__3.i * dummy.i, 

					z__2.i = z__3.r * dummy.i + z__3.i * 

					dummy.r;

				d_cnjg(&z__1, &z__2);

				s.r = z__1.r, s.i = z__1.i;

			    }

/* Computing MAX */

			    i__4 = 1, i__5 = jch - jku;

			    irow = max(i__4,i__5);

			    il = ir + 2 - irow;

			    ctemp.r = 0., ctemp.i = 0.;

			    iltemp = jch > jku;

			    zlarot_(&c_false, &iltemp, &c_true, &il, &c, &s, &

				    a[irow - iskew * ic + ioffst + ic * 

				    a_dim1], &ilda, &ctemp, &extra);

			    if (iltemp) {

				zlartg_(&a[irow + 1 - iskew * (ic + 1) + 

					ioffst + (ic + 1) * a_dim1], &ctemp, &

					realc, &s, &dummy);

				zlarnd_(&z__1, &c__5, &iseed[1]);

				dummy.r = z__1.r, dummy.i = z__1.i;

				z__2.r = realc * dummy.r, z__2.i = realc * 

					dummy.i;

				d_cnjg(&z__1, &z__2);

				c.r = z__1.r, c.i = z__1.i;

				z__3.r = -s.r, z__3.i = -s.i;

				z__2.r = z__3.r * dummy.r - z__3.i * dummy.i, 

					z__2.i = z__3.r * dummy.i + z__3.i * 

					dummy.r;

				d_cnjg(&z__1, &z__2);

				s.r = z__1.r, s.i = z__1.i;

/* Computing MAX */

				i__4 = 1, i__5 = jch - jku - jkl;

				icol = max(i__4,i__5);

				il = ic + 2 - icol;

				extra.r = 0., extra.i = 0.;

				L__1 = jch > jku + jkl;

				zlarot_(&c_true, &L__1, &c_true, &il, &c, &s, 

					&a[irow - iskew * icol + ioffst + 

					icol * a_dim1], &ilda, &extra, &ctemp)

					;

				ic = icol;

				ir = irow;

			    }

/* L50: */

			}

/* L60: */

		    }

/* L70: */

		}

		jku = uub;

		i__1 = llb;

		for (jkl = 1; jkl <= i__1; ++jkl) {

/*                 Transform from bandwidth JKL-1, JKU to 

JKL, JKU   

   Computing MIN */

		    i__3 = *n + jkl;

		    i__2 = min(i__3,*m) + jku - 1;

		    for (jc = 1; jc <= i__2; ++jc) {

			extra.r = 0., extra.i = 0.;

			angle = dlarnd_(&c__1, &iseed[1]) * 

				6.2831853071795864769252867663;

			d__1 = cos(angle);

			zlarnd_(&z__2, &c__5, &iseed[1]);

			z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;

			c.r = z__1.r, c.i = z__1.i;

			d__1 = sin(angle);

			zlarnd_(&z__2, &c__5, &iseed[1]);

			z__1.r = d__1 * z__2.r, z__1.i = d__1 * z__2.i;

			s.r = z__1.r, s.i = z__1.i;

/* Computing MAX */

			i__3 = 1, i__4 = jc - jku;

			irow = max(i__3,i__4);

			if (jc < *n) {

/* Computing MIN */

			    i__3 = *m, i__4 = jc + jkl;

			    il = min(i__3,i__4) + 1 - irow;

			    L__1 = jc > jku;

			    zlarot_(&c_false, &L__1, &c_false, &il, &c, &s, &

				    a[irow - iskew * jc + ioffst + jc * 

				    a_dim1], &ilda, &extra, &dummy);

			}

/*                    Chase "EXTRA" back up */

			ic = jc;

			ir = irow;

			i__3 = -jkl - jku;

			for (jch = jc - jku; i__3 < 0 ? jch >= 1 : jch <= 1; 

				jch += i__3) {

			    if (ic < *n) {

				zlartg_(&a[ir + 1 - iskew * (ic + 1) + ioffst 

					+ (ic + 1) * a_dim1], &extra, &realc, 

					&s, &dummy);

				zlarnd_(&z__1, &c__5, &iseed[1]);

				dummy.r = z__1.r, dummy.i = z__1.i;

				z__2.r = realc * dummy.r, z__2.i = realc * 

					dummy.i;

				d_cnjg(&z__1, &z__2);

				c.r = z__1.r, c.i = z__1.i;

				z__3.r = -s.r, z__3.i = -s.i;

				z__2.r = z__3.r * dummy.r - z__3.i * dummy.i, 

					z__2.i = z__3.r * dummy.i + z__3.i * 

					dummy.r;

				d_cnjg(&z__1, &z__2);

				s.r = z__1.r, s.i = z__1.i;

			    }

/* Computing MAX */

			    i__4 = 1, i__5 = jch - jkl;

			    icol = max(i__4,i__5);

			    il = ic + 2 - icol;

			    ctemp.r = 0., ctemp.i = 0.;

			    iltemp = jch > jkl;

			    zlarot_(&c_true, &iltemp, &c_true, &il, &c, &s, &

				    a[ir - iskew * icol + ioffst + icol * 

				    a_dim1], &ilda, &ctemp, &extra);

			    if (iltemp) {

				zlartg_(&a[ir + 1 - iskew * (icol + 1) + 

					ioffst + (icol + 1) * a_dim1], &ctemp,

					 &realc, &s, &dummy);

				zlarnd_(&z__1, &c__5, &iseed[1]);

				dummy.r = z__1.r, dummy.i = z__1.i;

				z__2.r = realc * dummy.r, z__2.i = realc * 

					dummy.i;

				d_cnjg(&z__1, &z__2);

				c.r = z__1.r, c.i = z__1.i;

				z__3.r = -s.r, z__3.i = -s.i;

				z__2.r = z__3.r * dummy.r - z__3.i * dummy.i, 

					z__2.i = z__3.r * dummy.i + z__3.i * 

					dummy.r;

				d_cnjg(&z__1, &z__2);

				s.r = z__1.r, s.i = z__1.i;

/* Computing MAX */

				i__4 = 1, i__5 = jch - jkl - jku;

				irow = max(i__4,i__5);

				il = ir + 2 - irow;

				extra.r = 0., extra.i = 0.;

				L__1 = jch > jkl + jku;

				zlarot_(&c_false, &L__1, &c_true, &il, &c, &s,

					 &a[irow - iskew * icol + ioffst + 

					icol * a_dim1], &ilda, &extra, &ctemp)

					;

				ic = icol;

				ir = irow;

			    }

/* L80: */

			}

/* L90: */

		    }

/* L100: */

		}

	    } else {

/*              Bottom-Up -- Start at the bottom right. */

		jkl = 0;

		i__1 = uub;

		for (jku = 1; jku <= i__1; ++jku) {

/*                 Transform from bandwidth JKL, JKU-1 to 

JKL, JKU   

                   First row actually rotated is M   

                   First column actually rotated is MIN( M

+JKU, N )   

   Computing MIN */

		    i__2 = *m, i__3 = *n + jkl;

		    iendch = min(i__2,i__3) - 1;

/* Computing MIN */

		    i__2 = *m + jku;

		    i__3 = 1 - jkl;

		    for (jc = min(i__2,*n) - 1; jc >= i__3; --jc) {

			extra.r = 0., extra.i = 0.;

			angle = dlarnd_(&c__1, &iseed[1]) * 

				6.2831853071795864769252867663;

			d__1 = cos(angle);

			zlarnd_(&z__2, &c__5, &iseed[1]);