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Cloned library LAPACK-3.11.0 with extra build files for internal package management.
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LAPACK-3.11.0/TESTING/LIN/clattp.f

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*> \brief \b CLATTP
*
* =========== DOCUMENTATION ===========
*
* Online html documentation available at
* http://www.netlib.org/lapack/explore-html/
*
* Definition:
* ===========
*
* SUBROUTINE CLATTP( IMAT, UPLO, TRANS, DIAG, ISEED, N, AP, B, WORK,
* RWORK, INFO )
*
* .. Scalar Arguments ..
* CHARACTER DIAG, TRANS, UPLO
* INTEGER IMAT, INFO, N
* ..
* .. Array Arguments ..
* INTEGER ISEED( 4 )
* REAL RWORK( * )
* COMPLEX AP( * ), B( * ), WORK( * )
* ..
*
*
*> \par Purpose:
* =============
*>
*> \verbatim
*>
*> CLATTP generates a triangular test matrix in packed storage.
*> IMAT and UPLO uniquely specify the properties of the test matrix,
*> which is returned in the array AP.
*> \endverbatim
*
* Arguments:
* ==========
*
*> \param[in] IMAT
*> \verbatim
*> IMAT is INTEGER
*> An integer key describing which matrix to generate for this
*> path.
*> \endverbatim
*>
*> \param[in] UPLO
*> \verbatim
*> UPLO is CHARACTER*1
*> Specifies whether the matrix A will be upper or lower
*> triangular.
*> = 'U': Upper triangular
*> = 'L': Lower triangular
*> \endverbatim
*>
*> \param[in] TRANS
*> \verbatim
*> TRANS is CHARACTER*1
*> Specifies whether the matrix or its transpose will be used.
*> = 'N': No transpose
*> = 'T': Transpose
*> = 'C': Conjugate transpose
*> \endverbatim
*>
*> \param[out] DIAG
*> \verbatim
*> DIAG is CHARACTER*1
*> Specifies whether or not the matrix A is unit triangular.
*> = 'N': Non-unit triangular
*> = 'U': Unit triangular
*> \endverbatim
*>
*> \param[in,out] ISEED
*> \verbatim
*> ISEED is INTEGER array, dimension (4)
*> The seed vector for the random number generator (used in
*> CLATMS). Modified on exit.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*> N is INTEGER
*> The order of the matrix to be generated.
*> \endverbatim
*>
*> \param[out] AP
*> \verbatim
*> AP is COMPLEX array, dimension (N*(N+1)/2)
*> The upper or lower triangular matrix A, packed columnwise in
*> a linear array. The j-th column of A is stored in the array
*> AP as follows:
*> if UPLO = 'U', AP((j-1)*j/2 + i) = A(i,j) for 1<=i<=j;
*> if UPLO = 'L',
*> AP((j-1)*(n-j) + j*(j+1)/2 + i-j) = A(i,j) for j<=i<=n.
*> \endverbatim
*>
*> \param[out] B
*> \verbatim
*> B is COMPLEX array, dimension (N)
*> The right hand side vector, if IMAT > 10.
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*> WORK is COMPLEX array, dimension (2*N)
*> \endverbatim
*>
*> \param[out] RWORK
*> \verbatim
*> RWORK is REAL array, dimension (N)
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*> INFO is INTEGER
*> = 0: successful exit
*> < 0: if INFO = -i, the i-th argument had an illegal value
*> \endverbatim
*
* Authors:
* ========
*
*> \author Univ. of Tennessee
*> \author Univ. of California Berkeley
*> \author Univ. of Colorado Denver
*> \author NAG Ltd.
*
*> \ingroup complex_lin
*
* =====================================================================
SUBROUTINE CLATTP( IMAT, UPLO, TRANS, DIAG, ISEED, N, AP, B, WORK,
$ RWORK, INFO )
*
* -- LAPACK test routine --
* -- LAPACK is a software package provided by Univ. of Tennessee, --
* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
* .. Scalar Arguments ..
CHARACTER DIAG, TRANS, UPLO
INTEGER IMAT, INFO, N
* ..
* .. Array Arguments ..
INTEGER ISEED( 4 )
REAL RWORK( * )
COMPLEX AP( * ), B( * ), WORK( * )
* ..
*
* =====================================================================
*
* .. Parameters ..
REAL ONE, TWO, ZERO
PARAMETER ( ONE = 1.0E+0, TWO = 2.0E+0, ZERO = 0.0E+0 )
* ..
* .. Local Scalars ..
LOGICAL UPPER
CHARACTER DIST, PACKIT, TYPE
CHARACTER*3 PATH
INTEGER I, IY, J, JC, JCNEXT, JCOUNT, JJ, JL, JR, JX,
$ KL, KU, MODE
REAL ANORM, BIGNUM, BNORM, BSCAL, C, CNDNUM, REXP,
$ SFAC, SMLNUM, T, TEXP, TLEFT, TSCAL, ULP, UNFL,
$ X, Y, Z
COMPLEX CTEMP, PLUS1, PLUS2, RA, RB, S, STAR1
* ..
* .. External Functions ..
LOGICAL LSAME
INTEGER ICAMAX
REAL SLAMCH
COMPLEX CLARND
EXTERNAL LSAME, ICAMAX, SLAMCH, CLARND
* ..
* .. External Subroutines ..
EXTERNAL CLARNV, CLATB4, CLATMS, CROT, CROTG, CSSCAL,
$ SLARNV
* ..
* .. Intrinsic Functions ..
INTRINSIC ABS, CMPLX, CONJG, MAX, REAL, SQRT
* ..
* .. Executable Statements ..
*
PATH( 1: 1 ) = 'Complex precision'
PATH( 2: 3 ) = 'TP'
UNFL = SLAMCH( 'Safe minimum' )
ULP = SLAMCH( 'Epsilon' )*SLAMCH( 'Base' )
SMLNUM = UNFL
BIGNUM = ( ONE-ULP ) / SMLNUM
IF( ( IMAT.GE.7 .AND. IMAT.LE.10 ) .OR. IMAT.EQ.18 ) THEN
DIAG = 'U'
ELSE
DIAG = 'N'
END IF
INFO = 0
*
* Quick return if N.LE.0.
*
IF( N.LE.0 )
$ RETURN
*
* Call CLATB4 to set parameters for CLATMS.
*
UPPER = LSAME( UPLO, 'U' )
IF( UPPER ) THEN
CALL CLATB4( PATH, IMAT, N, N, TYPE, KL, KU, ANORM, MODE,
$ CNDNUM, DIST )
PACKIT = 'C'
ELSE
CALL CLATB4( PATH, -IMAT, N, N, TYPE, KL, KU, ANORM, MODE,
$ CNDNUM, DIST )
PACKIT = 'R'
END IF
*
* IMAT <= 6: Non-unit triangular matrix
*
IF( IMAT.LE.6 ) THEN
CALL CLATMS( N, N, DIST, ISEED, TYPE, RWORK, MODE, CNDNUM,
$ ANORM, KL, KU, PACKIT, AP, N, WORK, INFO )
*
* IMAT > 6: Unit triangular matrix
* The diagonal is deliberately set to something other than 1.
*
* IMAT = 7: Matrix is the identity
*
ELSE IF( IMAT.EQ.7 ) THEN
IF( UPPER ) THEN
JC = 1
DO 20 J = 1, N
DO 10 I = 1, J - 1
AP( JC+I-1 ) = ZERO
10 CONTINUE
AP( JC+J-1 ) = J
JC = JC + J
20 CONTINUE
ELSE
JC = 1
DO 40 J = 1, N
AP( JC ) = J
DO 30 I = J + 1, N
AP( JC+I-J ) = ZERO
30 CONTINUE
JC = JC + N - J + 1
40 CONTINUE
END IF
*
* IMAT > 7: Non-trivial unit triangular matrix
*
* Generate a unit triangular matrix T with condition CNDNUM by
* forming a triangular matrix with known singular values and
* filling in the zero entries with Givens rotations.
*
ELSE IF( IMAT.LE.10 ) THEN
IF( UPPER ) THEN
JC = 0
DO 60 J = 1, N
DO 50 I = 1, J - 1
AP( JC+I ) = ZERO
50 CONTINUE
AP( JC+J ) = J
JC = JC + J
60 CONTINUE
ELSE
JC = 1
DO 80 J = 1, N
AP( JC ) = J
DO 70 I = J + 1, N
AP( JC+I-J ) = ZERO
70 CONTINUE
JC = JC + N - J + 1
80 CONTINUE
END IF
*
* Since the trace of a unit triangular matrix is 1, the product
* of its singular values must be 1. Let s = sqrt(CNDNUM),
* x = sqrt(s) - 1/sqrt(s), y = sqrt(2/(n-2))*x, and z = x**2.
* The following triangular matrix has singular values s, 1, 1,
* ..., 1, 1/s:
*
* 1 y y y ... y y z
* 1 0 0 ... 0 0 y
* 1 0 ... 0 0 y
* . ... . . .
* . . . .
* 1 0 y
* 1 y
* 1
*
* To fill in the zeros, we first multiply by a matrix with small
* condition number of the form
*
* 1 0 0 0 0 ...
* 1 + * 0 0 ...
* 1 + 0 0 0
* 1 + * 0 0
* 1 + 0 0
* ...
* 1 + 0
* 1 0
* 1
*
* Each element marked with a '*' is formed by taking the product
* of the adjacent elements marked with '+'. The '*'s can be
* chosen freely, and the '+'s are chosen so that the inverse of
* T will have elements of the same magnitude as T. If the *'s in
* both T and inv(T) have small magnitude, T is well conditioned.
* The two offdiagonals of T are stored in WORK.
*
* The product of these two matrices has the form
*
* 1 y y y y y . y y z
* 1 + * 0 0 . 0 0 y
* 1 + 0 0 . 0 0 y
* 1 + * . . . .
* 1 + . . . .
* . . . . .
* . . . .
* 1 + y
* 1 y
* 1
*
* Now we multiply by Givens rotations, using the fact that
*
* [ c s ] [ 1 w ] [ -c -s ] = [ 1 -w ]
* [ -s c ] [ 0 1 ] [ s -c ] [ 0 1 ]
* and
* [ -c -s ] [ 1 0 ] [ c s ] = [ 1 0 ]
* [ s -c ] [ w 1 ] [ -s c ] [ -w 1 ]
*
* where c = w / sqrt(w**2+4) and s = 2 / sqrt(w**2+4).
*
STAR1 = 0.25*CLARND( 5, ISEED )
SFAC = 0.5
PLUS1 = SFAC*CLARND( 5, ISEED )
DO 90 J = 1, N, 2
PLUS2 = STAR1 / PLUS1
WORK( J ) = PLUS1
WORK( N+J ) = STAR1
IF( J+1.LE.N ) THEN
WORK( J+1 ) = PLUS2
WORK( N+J+1 ) = ZERO
PLUS1 = STAR1 / PLUS2
REXP = REAL( CLARND( 2, ISEED ) )
IF( REXP.LT.ZERO ) THEN
STAR1 = -SFAC**( ONE-REXP )*CLARND( 5, ISEED )
ELSE
STAR1 = SFAC**( ONE+REXP )*CLARND( 5, ISEED )
END IF
END IF
90 CONTINUE
*
X = SQRT( CNDNUM ) - ONE / SQRT( CNDNUM )
IF( N.GT.2 ) THEN
Y = SQRT( TWO / REAL( N-2 ) )*X
ELSE
Y = ZERO
END IF
Z = X*X
*
IF( UPPER ) THEN
*
* Set the upper triangle of A with a unit triangular matrix
* of known condition number.
*
JC = 1
DO 100 J = 2, N
AP( JC+1 ) = Y
IF( J.GT.2 )
$ AP( JC+J-1 ) = WORK( J-2 )
IF( J.GT.3 )
$ AP( JC+J-2 ) = WORK( N+J-3 )
JC = JC + J
100 CONTINUE
JC = JC - N
AP( JC+1 ) = Z
DO 110 J = 2, N - 1
AP( JC+J ) = Y
110 CONTINUE
ELSE
*
* Set the lower triangle of A with a unit triangular matrix
* of known condition number.
*
DO 120 I = 2, N - 1
AP( I ) = Y
120 CONTINUE
AP( N ) = Z
JC = N + 1
DO 130 J = 2, N - 1
AP( JC+1 ) = WORK( J-1 )
IF( J.LT.N-1 )
$ AP( JC+2 ) = WORK( N+J-1 )
AP( JC+N-J ) = Y
JC = JC + N - J + 1
130 CONTINUE
END IF
*
* Fill in the zeros using Givens rotations
*
IF( UPPER ) THEN
JC = 1
DO 150 J = 1, N - 1
JCNEXT = JC + J
RA = AP( JCNEXT+J-1 )
RB = TWO
CALL CROTG( RA, RB, C, S )
*
* Multiply by [ c s; -conjg(s) c] on the left.
*
IF( N.GT.J+1 ) THEN
JX = JCNEXT + J
DO 140 I = J + 2, N
CTEMP = C*AP( JX+J ) + S*AP( JX+J+1 )
AP( JX+J+1 ) = -CONJG( S )*AP( JX+J ) +
$ C*AP( JX+J+1 )
AP( JX+J ) = CTEMP
JX = JX + I
140 CONTINUE
END IF
*
* Multiply by [-c -s; conjg(s) -c] on the right.
*
IF( J.GT.1 )
$ CALL CROT( J-1, AP( JCNEXT ), 1, AP( JC ), 1, -C, -S )
*
* Negate A(J,J+1).
*
AP( JCNEXT+J-1 ) = -AP( JCNEXT+J-1 )
JC = JCNEXT
150 CONTINUE
ELSE
JC = 1
DO 170 J = 1, N - 1
JCNEXT = JC + N - J + 1
RA = AP( JC+1 )
RB = TWO
CALL CROTG( RA, RB, C, S )
S = CONJG( S )
*
* Multiply by [ c -s; conjg(s) c] on the right.
*
IF( N.GT.J+1 )
$ CALL CROT( N-J-1, AP( JCNEXT+1 ), 1, AP( JC+2 ), 1, C,
$ -S )
*
* Multiply by [-c s; -conjg(s) -c] on the left.
*
IF( J.GT.1 ) THEN
JX = 1
DO 160 I = 1, J - 1
CTEMP = -C*AP( JX+J-I ) + S*AP( JX+J-I+1 )
AP( JX+J-I+1 ) = -CONJG( S )*AP( JX+J-I ) -
$ C*AP( JX+J-I+1 )
AP( JX+J-I ) = CTEMP
JX = JX + N - I + 1
160 CONTINUE
END IF
*
* Negate A(J+1,J).
*
AP( JC+1 ) = -AP( JC+1 )
JC = JCNEXT
170 CONTINUE
END IF
*
* IMAT > 10: Pathological test cases. These triangular matrices
* are badly scaled or badly conditioned, so when used in solving a
* triangular system they may cause overflow in the solution vector.
*
ELSE IF( IMAT.EQ.11 ) THEN
*
* Type 11: Generate a triangular matrix with elements between
* -1 and 1. Give the diagonal norm 2 to make it well-conditioned.
* Make the right hand side large so that it requires scaling.
*
IF( UPPER ) THEN
JC = 1
DO 180 J = 1, N
CALL CLARNV( 4, ISEED, J-1, AP( JC ) )
AP( JC+J-1 ) = CLARND( 5, ISEED )*TWO
JC = JC + J
180 CONTINUE
ELSE
JC = 1
DO 190 J = 1, N
IF( J.LT.N )
$ CALL CLARNV( 4, ISEED, N-J, AP( JC+1 ) )
AP( JC ) = CLARND( 5, ISEED )*TWO
JC = JC + N - J + 1
190 CONTINUE
END IF
*
* Set the right hand side so that the largest value is BIGNUM.
*
CALL CLARNV( 2, ISEED, N, B )
IY = ICAMAX( N, B, 1 )
BNORM = ABS( B( IY ) )
BSCAL = BIGNUM / MAX( ONE, BNORM )
CALL CSSCAL( N, BSCAL, B, 1 )
*
ELSE IF( IMAT.EQ.12 ) THEN
*
* Type 12: Make the first diagonal element in the solve small to
* cause immediate overflow when dividing by T(j,j).
* In type 12, the offdiagonal elements are small (CNORM(j) < 1).
*
CALL CLARNV( 2, ISEED, N, B )
TSCAL = ONE / MAX( ONE, REAL( N-1 ) )
IF( UPPER ) THEN
JC = 1
DO 200 J = 1, N
CALL CLARNV( 4, ISEED, J-1, AP( JC ) )
CALL CSSCAL( J-1, TSCAL, AP( JC ), 1 )
AP( JC+J-1 ) = CLARND( 5, ISEED )
JC = JC + J
200 CONTINUE
AP( N*( N+1 ) / 2 ) = SMLNUM*AP( N*( N+1 ) / 2 )
ELSE
JC = 1
DO 210 J = 1, N
CALL CLARNV( 2, ISEED, N-J, AP( JC+1 ) )
CALL CSSCAL( N-J, TSCAL, AP( JC+1 ), 1 )
AP( JC ) = CLARND( 5, ISEED )
JC = JC + N - J + 1
210 CONTINUE
AP( 1 ) = SMLNUM*AP( 1 )
END IF
*
ELSE IF( IMAT.EQ.13 ) THEN
*
* Type 13: Make the first diagonal element in the solve small to
* cause immediate overflow when dividing by T(j,j).
* In type 13, the offdiagonal elements are O(1) (CNORM(j) > 1).
*
CALL CLARNV( 2, ISEED, N, B )
IF( UPPER ) THEN
JC = 1
DO 220 J = 1, N
CALL CLARNV( 4, ISEED, J-1, AP( JC ) )
AP( JC+J-1 ) = CLARND( 5, ISEED )
JC = JC + J
220 CONTINUE
AP( N*( N+1 ) / 2 ) = SMLNUM*AP( N*( N+1 ) / 2 )
ELSE
JC = 1
DO 230 J = 1, N
CALL CLARNV( 4, ISEED, N-J, AP( JC+1 ) )
AP( JC ) = CLARND( 5, ISEED )
JC = JC + N - J + 1
230 CONTINUE
AP( 1 ) = SMLNUM*AP( 1 )
END IF
*
ELSE IF( IMAT.EQ.14 ) THEN
*
* Type 14: T is diagonal with small numbers on the diagonal to
* make the growth factor underflow, but a small right hand side
* chosen so that the solution does not overflow.
*
IF( UPPER ) THEN
JCOUNT = 1
JC = ( N-1 )*N / 2 + 1
DO 250 J = N, 1, -1
DO 240 I = 1, J - 1
AP( JC+I-1 ) = ZERO
240 CONTINUE
IF( JCOUNT.LE.2 ) THEN
AP( JC+J-1 ) = SMLNUM*CLARND( 5, ISEED )
ELSE
AP( JC+J-1 ) = CLARND( 5, ISEED )
END IF
JCOUNT = JCOUNT + 1
IF( JCOUNT.GT.4 )
$ JCOUNT = 1
JC = JC - J + 1
250 CONTINUE
ELSE
JCOUNT = 1
JC = 1
DO 270 J = 1, N
DO 260 I = J + 1, N
AP( JC+I-J ) = ZERO
260 CONTINUE
IF( JCOUNT.LE.2 ) THEN
AP( JC ) = SMLNUM*CLARND( 5, ISEED )
ELSE
AP( JC ) = CLARND( 5, ISEED )
END IF
JCOUNT = JCOUNT + 1
IF( JCOUNT.GT.4 )
$ JCOUNT = 1
JC = JC + N - J + 1
270 CONTINUE
END IF
*
* Set the right hand side alternately zero and small.
*
IF( UPPER ) THEN
B( 1 ) = ZERO
DO 280 I = N, 2, -2
B( I ) = ZERO
B( I-1 ) = SMLNUM*CLARND( 5, ISEED )
280 CONTINUE
ELSE
B( N ) = ZERO
DO 290 I = 1, N - 1, 2
B( I ) = ZERO
B( I+1 ) = SMLNUM*CLARND( 5, ISEED )
290 CONTINUE
END IF
*
ELSE IF( IMAT.EQ.15 ) THEN
*
* Type 15: Make the diagonal elements small to cause gradual
* overflow when dividing by T(j,j). To control the amount of
* scaling needed, the matrix is bidiagonal.
*
TEXP = ONE / MAX( ONE, REAL( N-1 ) )
TSCAL = SMLNUM**TEXP
CALL CLARNV( 4, ISEED, N, B )
IF( UPPER ) THEN
JC = 1
DO 310 J = 1, N
DO 300 I = 1, J - 2
AP( JC+I-1 ) = ZERO
300 CONTINUE
IF( J.GT.1 )
$ AP( JC+J-2 ) = CMPLX( -ONE, -ONE )
AP( JC+J-1 ) = TSCAL*CLARND( 5, ISEED )
JC = JC + J
310 CONTINUE
B( N ) = CMPLX( ONE, ONE )
ELSE
JC = 1
DO 330 J = 1, N
DO 320 I = J + 2, N
AP( JC+I-J ) = ZERO
320 CONTINUE
IF( J.LT.N )
$ AP( JC+1 ) = CMPLX( -ONE, -ONE )
AP( JC ) = TSCAL*CLARND( 5, ISEED )
JC = JC + N - J + 1
330 CONTINUE
B( 1 ) = CMPLX( ONE, ONE )
END IF
*
ELSE IF( IMAT.EQ.16 ) THEN
*
* Type 16: One zero diagonal element.
*
IY = N / 2 + 1
IF( UPPER ) THEN
JC = 1
DO 340 J = 1, N
CALL CLARNV( 4, ISEED, J, AP( JC ) )
IF( J.NE.IY ) THEN
AP( JC+J-1 ) = CLARND( 5, ISEED )*TWO
ELSE
AP( JC+J-1 ) = ZERO
END IF
JC = JC + J
340 CONTINUE
ELSE
JC = 1
DO 350 J = 1, N
CALL CLARNV( 4, ISEED, N-J+1, AP( JC ) )
IF( J.NE.IY ) THEN
AP( JC ) = CLARND( 5, ISEED )*TWO
ELSE
AP( JC ) = ZERO
END IF
JC = JC + N - J + 1
350 CONTINUE
END IF
CALL CLARNV( 2, ISEED, N, B )
CALL CSSCAL( N, TWO, B, 1 )
*
ELSE IF( IMAT.EQ.17 ) THEN
*
* Type 17: Make the offdiagonal elements large to cause overflow
* when adding a column of T. In the non-transposed case, the
* matrix is constructed to cause overflow when adding a column in
* every other step.
*
TSCAL = UNFL / ULP
TSCAL = ( ONE-ULP ) / TSCAL
DO 360 J = 1, N*( N+1 ) / 2
AP( J ) = ZERO
360 CONTINUE
TEXP = ONE
IF( UPPER ) THEN
JC = ( N-1 )*N / 2 + 1
DO 370 J = N, 2, -2
AP( JC ) = -TSCAL / REAL( N+1 )
AP( JC+J-1 ) = ONE
B( J ) = TEXP*( ONE-ULP )
JC = JC - J + 1
AP( JC ) = -( TSCAL / REAL( N+1 ) ) / REAL( N+2 )
AP( JC+J-2 ) = ONE
B( J-1 ) = TEXP*REAL( N*N+N-1 )
TEXP = TEXP*TWO
JC = JC - J + 2
370 CONTINUE
B( 1 ) = ( REAL( N+1 ) / REAL( N+2 ) )*TSCAL
ELSE
JC = 1
DO 380 J = 1, N - 1, 2
AP( JC+N-J ) = -TSCAL / REAL( N+1 )
AP( JC ) = ONE
B( J ) = TEXP*( ONE-ULP )
JC = JC + N - J + 1
AP( JC+N-J-1 ) = -( TSCAL / REAL( N+1 ) ) / REAL( N+2 )
AP( JC ) = ONE
B( J+1 ) = TEXP*REAL( N*N+N-1 )
TEXP = TEXP*TWO
JC = JC + N - J
380 CONTINUE
B( N ) = ( REAL( N+1 ) / REAL( N+2 ) )*TSCAL
END IF
*
ELSE IF( IMAT.EQ.18 ) THEN
*
* Type 18: Generate a unit triangular matrix with elements
* between -1 and 1, and make the right hand side large so that it
* requires scaling.
*
IF( UPPER ) THEN
JC = 1
DO 390 J = 1, N
CALL CLARNV( 4, ISEED, J-1, AP( JC ) )
AP( JC+J-1 ) = ZERO
JC = JC + J
390 CONTINUE
ELSE
JC = 1
DO 400 J = 1, N
IF( J.LT.N )
$ CALL CLARNV( 4, ISEED, N-J, AP( JC+1 ) )
AP( JC ) = ZERO
JC = JC + N - J + 1
400 CONTINUE
END IF
*
* Set the right hand side so that the largest value is BIGNUM.
*
CALL CLARNV( 2, ISEED, N, B )
IY = ICAMAX( N, B, 1 )
BNORM = ABS( B( IY ) )
BSCAL = BIGNUM / MAX( ONE, BNORM )
CALL CSSCAL( N, BSCAL, B, 1 )
*
ELSE IF( IMAT.EQ.19 ) THEN
*
* Type 19: Generate a triangular matrix with elements between
* BIGNUM/(n-1) and BIGNUM so that at least one of the column
* norms will exceed BIGNUM.
* 1/3/91: CLATPS no longer can handle this case
*
TLEFT = BIGNUM / MAX( ONE, REAL( N-1 ) )
TSCAL = BIGNUM*( REAL( N-1 ) / MAX( ONE, REAL( N ) ) )
IF( UPPER ) THEN
JC = 1
DO 420 J = 1, N
CALL CLARNV( 5, ISEED, J, AP( JC ) )
CALL SLARNV( 1, ISEED, J, RWORK )
DO 410 I = 1, J
AP( JC+I-1 ) = AP( JC+I-1 )*( TLEFT+RWORK( I )*TSCAL )
410 CONTINUE
JC = JC + J
420 CONTINUE
ELSE
JC = 1
DO 440 J = 1, N
CALL CLARNV( 5, ISEED, N-J+1, AP( JC ) )
CALL SLARNV( 1, ISEED, N-J+1, RWORK )
DO 430 I = J, N
AP( JC+I-J ) = AP( JC+I-J )*
$ ( TLEFT+RWORK( I-J+1 )*TSCAL )
430 CONTINUE
JC = JC + N - J + 1
440 CONTINUE
END IF
CALL CLARNV( 2, ISEED, N, B )
CALL CSSCAL( N, TWO, B, 1 )
END IF
*
* Flip the matrix across its counter-diagonal if the transpose will
* be used.
*
IF( .NOT.LSAME( TRANS, 'N' ) ) THEN
IF( UPPER ) THEN
JJ = 1
JR = N*( N+1 ) / 2
DO 460 J = 1, N / 2
JL = JJ
DO 450 I = J, N - J
T = REAL( AP( JR-I+J ) )
AP( JR-I+J ) = AP( JL )
AP( JL ) = T
JL = JL + I
450 CONTINUE
JJ = JJ + J + 1
JR = JR - ( N-J+1 )
460 CONTINUE
ELSE
JL = 1
JJ = N*( N+1 ) / 2
DO 480 J = 1, N / 2
JR = JJ
DO 470 I = J, N - J
T = REAL( AP( JL+I-J ) )
AP( JL+I-J ) = AP( JR )
AP( JR ) = T
JR = JR - I
470 CONTINUE
JL = JL + N - J + 1
JJ = JJ - J - 1
480 CONTINUE
END IF
END IF
*
RETURN
*
* End of CLATTP
*
END