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authorjason <jason@8a072113-8704-0410-8d35-dd094bca7971>2008-10-28 01:38:50 +0000
committerjason <jason@8a072113-8704-0410-8d35-dd094bca7971>2008-10-28 01:38:50 +0000
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+ REAL FUNCTION CLANSB( NORM, UPLO, N, K, AB, LDAB,
+ $ WORK )
+*
+* -- LAPACK auxiliary routine (version 3.1) --
+* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
+* November 2006
+*
+* .. Scalar Arguments ..
+ CHARACTER NORM, UPLO
+ INTEGER K, LDAB, N
+* ..
+* .. Array Arguments ..
+ REAL WORK( * )
+ COMPLEX AB( LDAB, * )
+* ..
+*
+* Purpose
+* =======
+*
+* CLANSB returns the value of the one norm, or the Frobenius norm, or
+* the infinity norm, or the element of largest absolute value of an
+* n by n symmetric band matrix A, with k super-diagonals.
+*
+* Description
+* ===========
+*
+* CLANSB returns the value
+*
+* CLANSB = ( 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 CLANSB as described
+* above.
+*
+* UPLO (input) CHARACTER*1
+* Specifies whether the upper or lower triangular part of the
+* band matrix A is supplied.
+* = 'U': Upper triangular part is supplied
+* = 'L': Lower triangular part is supplied
+*
+* N (input) INTEGER
+* The order of the matrix A. N >= 0. When N = 0, CLANSB is
+* set to zero.
+*
+* K (input) INTEGER
+* The number of super-diagonals or sub-diagonals of the
+* band matrix A. K >= 0.
+*
+* AB (input) COMPLEX array, dimension (LDAB,N)
+* The upper or lower triangle of the symmetric band matrix A,
+* stored in the first K+1 rows of AB. The j-th column of A is
+* stored in the j-th column of the array AB as follows:
+* if UPLO = 'U', AB(k+1+i-j,j) = A(i,j) for max(1,j-k)<=i<=j;
+* if UPLO = 'L', AB(1+i-j,j) = A(i,j) for j<=i<=min(n,j+k).
+*
+* LDAB (input) INTEGER
+* The leading dimension of the array AB. LDAB >= K+1.
+*
+* WORK (workspace) REAL array, dimension (MAX(1,LWORK)),
+* where LWORK >= N when NORM = 'I' or '1' or 'O'; otherwise,
+* WORK is not referenced.
+*
+* =====================================================================
+*
+* .. Parameters ..
+ REAL ONE, ZERO
+ PARAMETER ( ONE = 1.0E+0, ZERO = 0.0E+0 )
+* ..
+* .. Local Scalars ..
+ INTEGER I, J, L
+ REAL ABSA, SCALE, SUM, VALUE
+* ..
+* .. External Functions ..
+ LOGICAL LSAME
+ EXTERNAL LSAME
+* ..
+* .. External Subroutines ..
+ EXTERNAL CLASSQ
+* ..
+* .. Intrinsic Functions ..
+ INTRINSIC ABS, MAX, MIN, SQRT
+* ..
+* .. Executable Statements ..
+*
+ IF( N.EQ.0 ) THEN
+ VALUE = ZERO
+ ELSE IF( LSAME( NORM, 'M' ) ) THEN
+*
+* Find max(abs(A(i,j))).
+*
+ VALUE = ZERO
+ IF( LSAME( UPLO, 'U' ) ) THEN
+ DO 20 J = 1, N
+ DO 10 I = MAX( K+2-J, 1 ), K + 1
+ VALUE = MAX( VALUE, ABS( AB( I, J ) ) )
+ 10 CONTINUE
+ 20 CONTINUE
+ ELSE
+ DO 40 J = 1, N
+ DO 30 I = 1, MIN( N+1-J, K+1 )
+ VALUE = MAX( VALUE, ABS( AB( I, J ) ) )
+ 30 CONTINUE
+ 40 CONTINUE
+ END IF
+ ELSE IF( ( LSAME( NORM, 'I' ) ) .OR. ( LSAME( NORM, 'O' ) ) .OR.
+ $ ( NORM.EQ.'1' ) ) THEN
+*
+* Find normI(A) ( = norm1(A), since A is symmetric).
+*
+ VALUE = ZERO
+ IF( LSAME( UPLO, 'U' ) ) THEN
+ DO 60 J = 1, N
+ SUM = ZERO
+ L = K + 1 - J
+ DO 50 I = MAX( 1, J-K ), J - 1
+ ABSA = ABS( AB( L+I, J ) )
+ SUM = SUM + ABSA
+ WORK( I ) = WORK( I ) + ABSA
+ 50 CONTINUE
+ WORK( J ) = SUM + ABS( AB( K+1, J ) )
+ 60 CONTINUE
+ DO 70 I = 1, N
+ VALUE = MAX( VALUE, WORK( I ) )
+ 70 CONTINUE
+ ELSE
+ DO 80 I = 1, N
+ WORK( I ) = ZERO
+ 80 CONTINUE
+ DO 100 J = 1, N
+ SUM = WORK( J ) + ABS( AB( 1, J ) )
+ L = 1 - J
+ DO 90 I = J + 1, MIN( N, J+K )
+ ABSA = ABS( AB( L+I, J ) )
+ SUM = SUM + ABSA
+ WORK( I ) = WORK( I ) + ABSA
+ 90 CONTINUE
+ VALUE = MAX( VALUE, SUM )
+ 100 CONTINUE
+ END IF
+ ELSE IF( ( LSAME( NORM, 'F' ) ) .OR. ( LSAME( NORM, 'E' ) ) ) THEN
+*
+* Find normF(A).
+*
+ SCALE = ZERO
+ SUM = ONE
+ IF( K.GT.0 ) THEN
+ IF( LSAME( UPLO, 'U' ) ) THEN
+ DO 110 J = 2, N
+ CALL CLASSQ( MIN( J-1, K ), AB( MAX( K+2-J, 1 ), J ),
+ $ 1, SCALE, SUM )
+ 110 CONTINUE
+ L = K + 1
+ ELSE
+ DO 120 J = 1, N - 1
+ CALL CLASSQ( MIN( N-J, K ), AB( 2, J ), 1, SCALE,
+ $ SUM )
+ 120 CONTINUE
+ L = 1
+ END IF
+ SUM = 2*SUM
+ ELSE
+ L = 1
+ END IF
+ CALL CLASSQ( N, AB( L, 1 ), LDAB, SCALE, SUM )
+ VALUE = SCALE*SQRT( SUM )
+ END IF
+*
+ CLANSB = VALUE
+ RETURN
+*
+* End of CLANSB
+*
+ END