From 8c8d2f518968ce7057eec6aa5cd5aec8faab861a Mon Sep 17 00:00:00 2001
From: jofret
Date: Tue, 28 Apr 2009 07:17:00 +0000
Subject: Moving lapack to right place

---
 src/lib/lapack/dlange.f | 144 ------------------------------------------------
 1 file changed, 144 deletions(-)
 delete mode 100644 src/lib/lapack/dlange.f

(limited to 'src/lib/lapack/dlange.f')

diff --git a/src/lib/lapack/dlange.f b/src/lib/lapack/dlange.f
deleted file mode 100644
index fec96ac7..00000000
--- a/src/lib/lapack/dlange.f
+++ /dev/null
@@ -1,144 +0,0 @@
-      DOUBLE PRECISION FUNCTION DLANGE( NORM, M, N, A, LDA, WORK )
-*
-*  -- LAPACK auxiliary routine (version 3.1) --
-*     Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
-*     November 2006
-*
-*     .. Scalar Arguments ..
-      CHARACTER          NORM
-      INTEGER            LDA, M, N
-*     ..
-*     .. Array Arguments ..
-      DOUBLE PRECISION   A( LDA, * ), WORK( * )
-*     ..
-*
-*  Purpose
-*  =======
-*
-*  DLANGE  returns the value of the one norm,  or the Frobenius norm, or
-*  the  infinity norm,  or the  element of  largest absolute value  of a
-*  real matrix A.
-*
-*  Description
-*  ===========
-*
-*  DLANGE returns the value
-*
-*     DLANGE = ( max(abs(A(i,j))), NORM = 'M' or 'm'
-*              (
-*              ( norm1(A),         NORM = '1', 'O' or 'o'
-*              (
-*              ( normI(A),         NORM = 'I' or 'i'
-*              (
-*              ( normF(A),         NORM = 'F', 'f', 'E' or 'e'
-*
-*  where  norm1  denotes the  one norm of a matrix (maximum column sum),
-*  normI  denotes the  infinity norm  of a matrix  (maximum row sum) and
-*  normF  denotes the  Frobenius norm of a matrix (square root of sum of
-*  squares).  Note that  max(abs(A(i,j)))  is not a consistent matrix norm.
-*
-*  Arguments
-*  =========
-*
-*  NORM    (input) CHARACTER*1
-*          Specifies the value to be returned in DLANGE as described
-*          above.
-*
-*  M       (input) INTEGER
-*          The number of rows of the matrix A.  M >= 0.  When M = 0,
-*          DLANGE is set to zero.
-*
-*  N       (input) INTEGER
-*          The number of columns of the matrix A.  N >= 0.  When N = 0,
-*          DLANGE is set to zero.
-*
-*  A       (input) DOUBLE PRECISION array, dimension (LDA,N)
-*          The m by n matrix A.
-*
-*  LDA     (input) INTEGER
-*          The leading dimension of the array A.  LDA >= max(M,1).
-*
-*  WORK    (workspace) DOUBLE PRECISION array, dimension (MAX(1,LWORK)),
-*          where LWORK >= M when NORM = 'I'; otherwise, WORK is not
-*          referenced.
-*
-* =====================================================================
-*
-*     .. Parameters ..
-      DOUBLE PRECISION   ONE, ZERO
-      PARAMETER          ( ONE = 1.0D+0, ZERO = 0.0D+0 )
-*     ..
-*     .. Local Scalars ..
-      INTEGER            I, J
-      DOUBLE PRECISION   SCALE, SUM, VALUE
-*     ..
-*     .. External Subroutines ..
-      EXTERNAL           DLASSQ
-*     ..
-*     .. External Functions ..
-      LOGICAL            LSAME
-      EXTERNAL           LSAME
-*     ..
-*     .. Intrinsic Functions ..
-      INTRINSIC          ABS, MAX, MIN, SQRT
-*     ..
-*     .. Executable Statements ..
-*
-      IF( MIN( M, N ).EQ.0 ) THEN
-         VALUE = ZERO
-      ELSE IF( LSAME( NORM, 'M' ) ) THEN
-*
-*        Find max(abs(A(i,j))).
-*
-         VALUE = ZERO
-         DO 20 J = 1, N
-            DO 10 I = 1, M
-               VALUE = MAX( VALUE, ABS( A( I, J ) ) )
-   10       CONTINUE
-   20    CONTINUE
-      ELSE IF( ( LSAME( NORM, 'O' ) ) .OR. ( NORM.EQ.'1' ) ) THEN
-*
-*        Find norm1(A).
-*
-         VALUE = ZERO
-         DO 40 J = 1, N
-            SUM = ZERO
-            DO 30 I = 1, M
-               SUM = SUM + ABS( A( I, J ) )
-   30       CONTINUE
-            VALUE = MAX( VALUE, SUM )
-   40    CONTINUE
-      ELSE IF( LSAME( NORM, 'I' ) ) THEN
-*
-*        Find normI(A).
-*
-         DO 50 I = 1, M
-            WORK( I ) = ZERO
-   50    CONTINUE
-         DO 70 J = 1, N
-            DO 60 I = 1, M
-               WORK( I ) = WORK( I ) + ABS( A( I, J ) )
-   60       CONTINUE
-   70    CONTINUE
-         VALUE = ZERO
-         DO 80 I = 1, M
-            VALUE = MAX( VALUE, WORK( I ) )
-   80    CONTINUE
-      ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
-*
-*        Find normF(A).
-*
-         SCALE = ZERO
-         SUM = ONE
-         DO 90 J = 1, N
-            CALL DLASSQ( M, A( 1, J ), 1, SCALE, SUM )
-   90    CONTINUE
-         VALUE = SCALE*SQRT( SUM )
-      END IF
-*
-      DLANGE = VALUE
-      RETURN
-*
-*     End of DLANGE
-*
-      END
-- 
cgit