added lapack 3.7.0 with latest patches from git
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353
lapack-netlib/SRC/slantr.f
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353
lapack-netlib/SRC/slantr.f
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*> \brief \b SLANTR returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a trapezoidal or triangular matrix.
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*
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* =========== DOCUMENTATION ===========
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*
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* Online html documentation available at
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* http://www.netlib.org/lapack/explore-html/
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*
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*> \htmlonly
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*> Download SLANTR + dependencies
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.tgz?format=tgz&filename=/lapack/lapack_routine/slantr.f">
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*> [TGZ]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/slantr.f">
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*> [ZIP]</a>
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*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/slantr.f">
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*> [TXT]</a>
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*> \endhtmlonly
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*
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* Definition:
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* ===========
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*
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* REAL FUNCTION SLANTR( NORM, UPLO, DIAG, M, N, A, LDA,
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* WORK )
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*
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* .. Scalar Arguments ..
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* CHARACTER DIAG, NORM, UPLO
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* INTEGER LDA, M, N
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* ..
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* .. Array Arguments ..
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* REAL A( LDA, * ), WORK( * )
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* ..
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*
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*
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*> \par Purpose:
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* =============
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*>
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*> \verbatim
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*>
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*> SLANTR returns the value of the one norm, or the Frobenius norm, or
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*> the infinity norm, or the element of largest absolute value of a
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*> trapezoidal or triangular matrix A.
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*> \endverbatim
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*>
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*> \return SLANTR
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*> \verbatim
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*>
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*> SLANTR = ( max(abs(A(i,j))), NORM = 'M' or 'm'
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*> (
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*> ( norm1(A), NORM = '1', 'O' or 'o'
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*> (
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*> ( normI(A), NORM = 'I' or 'i'
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*> (
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*> ( normF(A), NORM = 'F', 'f', 'E' or 'e'
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*>
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*> where norm1 denotes the one norm of a matrix (maximum column sum),
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*> normI denotes the infinity norm of a matrix (maximum row sum) and
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*> normF denotes the Frobenius norm of a matrix (square root of sum of
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*> squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
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*> \endverbatim
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*
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* Arguments:
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* ==========
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*
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*> \param[in] NORM
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*> \verbatim
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*> NORM is CHARACTER*1
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*> Specifies the value to be returned in SLANTR as described
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*> above.
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*> \endverbatim
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*>
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*> \param[in] UPLO
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*> \verbatim
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*> UPLO is CHARACTER*1
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*> Specifies whether the matrix A is upper or lower trapezoidal.
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*> = 'U': Upper trapezoidal
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*> = 'L': Lower trapezoidal
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*> Note that A is triangular instead of trapezoidal if M = N.
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*> \endverbatim
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*>
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*> \param[in] DIAG
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*> \verbatim
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*> DIAG is CHARACTER*1
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*> Specifies whether or not the matrix A has unit diagonal.
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*> = 'N': Non-unit diagonal
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*> = 'U': Unit diagonal
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*> \endverbatim
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*>
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*> \param[in] M
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*> \verbatim
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*> M is INTEGER
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*> The number of rows of the matrix A. M >= 0, and if
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*> UPLO = 'U', M <= N. When M = 0, SLANTR is set to zero.
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*> \endverbatim
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*>
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*> \param[in] N
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*> \verbatim
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*> N is INTEGER
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*> The number of columns of the matrix A. N >= 0, and if
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*> UPLO = 'L', N <= M. When N = 0, SLANTR is set to zero.
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*> \endverbatim
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*>
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*> \param[in] A
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*> \verbatim
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*> A is REAL array, dimension (LDA,N)
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*> The trapezoidal matrix A (A is triangular if M = N).
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*> If UPLO = 'U', the leading m by n upper trapezoidal part of
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*> the array A contains the upper trapezoidal matrix, and the
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*> strictly lower triangular part of A is not referenced.
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*> If UPLO = 'L', the leading m by n lower trapezoidal part of
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*> the array A contains the lower trapezoidal matrix, and the
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*> strictly upper triangular part of A is not referenced. Note
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*> that when DIAG = 'U', the diagonal elements of A are not
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*> referenced and are assumed to be one.
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*> \endverbatim
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*>
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*> \param[in] LDA
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*> \verbatim
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*> LDA is INTEGER
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*> The leading dimension of the array A. LDA >= max(M,1).
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*> \endverbatim
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*>
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*> \param[out] WORK
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*> \verbatim
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*> WORK is REAL array, dimension (MAX(1,LWORK)),
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*> where LWORK >= M when NORM = 'I'; otherwise, WORK is not
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*> referenced.
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*> \endverbatim
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*
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* Authors:
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* ========
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*
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*> \author Univ. of Tennessee
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*> \author Univ. of California Berkeley
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*> \author Univ. of Colorado Denver
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*> \author NAG Ltd.
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*
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*> \date December 2016
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*
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*> \ingroup realOTHERauxiliary
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*
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* =====================================================================
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REAL FUNCTION SLANTR( NORM, UPLO, DIAG, M, N, A, LDA,
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$ WORK )
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*
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* -- LAPACK auxiliary routine (version 3.7.0) --
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* -- LAPACK is a software package provided by Univ. of Tennessee, --
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* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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* December 2016
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*
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* .. Scalar Arguments ..
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CHARACTER DIAG, NORM, UPLO
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INTEGER LDA, M, N
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* ..
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* .. Array Arguments ..
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REAL A( LDA, * ), WORK( * )
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* ..
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*
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* =====================================================================
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*
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* .. Parameters ..
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REAL ONE, ZERO
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PARAMETER ( ONE = 1.0E+0, ZERO = 0.0E+0 )
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* ..
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* .. Local Scalars ..
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LOGICAL UDIAG
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INTEGER I, J
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REAL SCALE, SUM, VALUE
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* ..
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* .. External Subroutines ..
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EXTERNAL SLASSQ
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* ..
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* .. External Functions ..
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LOGICAL LSAME, SISNAN
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EXTERNAL LSAME, SISNAN
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* ..
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* .. Intrinsic Functions ..
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INTRINSIC ABS, MIN, SQRT
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* ..
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* .. Executable Statements ..
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*
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IF( MIN( M, N ).EQ.0 ) THEN
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VALUE = ZERO
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ELSE IF( LSAME( NORM, 'M' ) ) THEN
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*
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* Find max(abs(A(i,j))).
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*
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IF( LSAME( DIAG, 'U' ) ) THEN
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VALUE = ONE
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IF( LSAME( UPLO, 'U' ) ) THEN
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DO 20 J = 1, N
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DO 10 I = 1, MIN( M, J-1 )
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SUM = ABS( A( I, J ) )
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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10 CONTINUE
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20 CONTINUE
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ELSE
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DO 40 J = 1, N
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DO 30 I = J + 1, M
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SUM = ABS( A( I, J ) )
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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30 CONTINUE
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40 CONTINUE
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END IF
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ELSE
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VALUE = ZERO
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IF( LSAME( UPLO, 'U' ) ) THEN
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DO 60 J = 1, N
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DO 50 I = 1, MIN( M, J )
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SUM = ABS( A( I, J ) )
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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50 CONTINUE
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60 CONTINUE
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ELSE
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DO 80 J = 1, N
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DO 70 I = J, M
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SUM = ABS( A( I, J ) )
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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70 CONTINUE
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80 CONTINUE
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END IF
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END IF
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ELSE IF( ( LSAME( NORM, 'O' ) ) .OR. ( NORM.EQ.'1' ) ) THEN
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*
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* Find norm1(A).
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*
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VALUE = ZERO
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UDIAG = LSAME( DIAG, 'U' )
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IF( LSAME( UPLO, 'U' ) ) THEN
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DO 110 J = 1, N
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IF( ( UDIAG ) .AND. ( J.LE.M ) ) THEN
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SUM = ONE
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DO 90 I = 1, J - 1
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SUM = SUM + ABS( A( I, J ) )
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90 CONTINUE
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ELSE
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SUM = ZERO
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DO 100 I = 1, MIN( M, J )
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SUM = SUM + ABS( A( I, J ) )
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100 CONTINUE
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END IF
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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110 CONTINUE
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ELSE
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DO 140 J = 1, N
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IF( UDIAG ) THEN
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SUM = ONE
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DO 120 I = J + 1, M
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SUM = SUM + ABS( A( I, J ) )
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120 CONTINUE
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ELSE
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SUM = ZERO
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DO 130 I = J, M
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SUM = SUM + ABS( A( I, J ) )
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130 CONTINUE
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END IF
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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140 CONTINUE
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END IF
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ELSE IF( LSAME( NORM, 'I' ) ) THEN
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*
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* Find normI(A).
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*
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IF( LSAME( UPLO, 'U' ) ) THEN
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IF( LSAME( DIAG, 'U' ) ) THEN
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DO 150 I = 1, M
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WORK( I ) = ONE
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150 CONTINUE
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DO 170 J = 1, N
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DO 160 I = 1, MIN( M, J-1 )
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WORK( I ) = WORK( I ) + ABS( A( I, J ) )
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160 CONTINUE
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170 CONTINUE
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ELSE
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DO 180 I = 1, M
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WORK( I ) = ZERO
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180 CONTINUE
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DO 200 J = 1, N
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DO 190 I = 1, MIN( M, J )
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WORK( I ) = WORK( I ) + ABS( A( I, J ) )
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190 CONTINUE
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200 CONTINUE
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END IF
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ELSE
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IF( LSAME( DIAG, 'U' ) ) THEN
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DO 210 I = 1, N
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WORK( I ) = ONE
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210 CONTINUE
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DO 220 I = N + 1, M
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WORK( I ) = ZERO
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220 CONTINUE
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DO 240 J = 1, N
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DO 230 I = J + 1, M
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WORK( I ) = WORK( I ) + ABS( A( I, J ) )
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230 CONTINUE
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240 CONTINUE
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ELSE
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DO 250 I = 1, M
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WORK( I ) = ZERO
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250 CONTINUE
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DO 270 J = 1, N
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DO 260 I = J, M
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WORK( I ) = WORK( I ) + ABS( A( I, J ) )
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260 CONTINUE
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270 CONTINUE
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END IF
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END IF
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VALUE = ZERO
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DO 280 I = 1, M
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SUM = WORK( I )
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IF( VALUE .LT. SUM .OR. SISNAN( SUM ) ) VALUE = SUM
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280 CONTINUE
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ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
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*
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* Find normF(A).
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*
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IF( LSAME( UPLO, 'U' ) ) THEN
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IF( LSAME( DIAG, 'U' ) ) THEN
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SCALE = ONE
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SUM = MIN( M, N )
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DO 290 J = 2, N
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CALL SLASSQ( MIN( M, J-1 ), A( 1, J ), 1, SCALE, SUM )
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290 CONTINUE
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ELSE
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SCALE = ZERO
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SUM = ONE
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DO 300 J = 1, N
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CALL SLASSQ( MIN( M, J ), A( 1, J ), 1, SCALE, SUM )
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300 CONTINUE
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END IF
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ELSE
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IF( LSAME( DIAG, 'U' ) ) THEN
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SCALE = ONE
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SUM = MIN( M, N )
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DO 310 J = 1, N
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CALL SLASSQ( M-J, A( MIN( M, J+1 ), J ), 1, SCALE,
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$ SUM )
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310 CONTINUE
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ELSE
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SCALE = ZERO
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SUM = ONE
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DO 320 J = 1, N
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CALL SLASSQ( M-J+1, A( J, J ), 1, SCALE, SUM )
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320 CONTINUE
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END IF
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END IF
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VALUE = SCALE*SQRT( SUM )
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END IF
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*
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SLANTR = VALUE
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RETURN
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*
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* End of SLANTR
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*
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END
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