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- SUBROUTINE DLATRD( UPLO, N, NB, A, LDA, E, TAU, W, LDW )
-*
-* -- LAPACK auxiliary routine (version 3.1) --
-* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd..
-* November 2006
-*
-* .. Scalar Arguments ..
- CHARACTER UPLO
- INTEGER LDA, LDW, N, NB
-* ..
-* .. Array Arguments ..
- DOUBLE PRECISION A( LDA, * ), E( * ), TAU( * ), W( LDW, * )
-* ..
-*
-* Purpose
-* =======
-*
-* DLATRD reduces NB rows and columns of a real symmetric matrix A to
-* symmetric tridiagonal form by an orthogonal similarity
-* transformation Q' * A * Q, and returns the matrices V and W which are
-* needed to apply the transformation to the unreduced part of A.
-*
-* If UPLO = 'U', DLATRD reduces the last NB rows and columns of a
-* matrix, of which the upper triangle is supplied;
-* if UPLO = 'L', DLATRD reduces the first NB rows and columns of a
-* matrix, of which the lower triangle is supplied.
-*
-* This is an auxiliary routine called by DSYTRD.
-*
-* Arguments
-* =========
-*
-* UPLO (input) CHARACTER*1
-* Specifies whether the upper or lower triangular part of the
-* symmetric matrix A is stored:
-* = 'U': Upper triangular
-* = 'L': Lower triangular
-*
-* N (input) INTEGER
-* The order of the matrix A.
-*
-* NB (input) INTEGER
-* The number of rows and columns to be reduced.
-*
-* A (input/output) DOUBLE PRECISION array, dimension (LDA,N)
-* On entry, the symmetric matrix A. If UPLO = 'U', the leading
-* n-by-n upper triangular part of A contains the upper
-* triangular part of the matrix A, and the strictly lower
-* triangular part of A is not referenced. If UPLO = 'L', the
-* leading n-by-n lower triangular part of A contains the lower
-* triangular part of the matrix A, and the strictly upper
-* triangular part of A is not referenced.
-* On exit:
-* if UPLO = 'U', the last NB columns have been reduced to
-* tridiagonal form, with the diagonal elements overwriting
-* the diagonal elements of A; the elements above the diagonal
-* with the array TAU, represent the orthogonal matrix Q as a
-* product of elementary reflectors;
-* if UPLO = 'L', the first NB columns have been reduced to
-* tridiagonal form, with the diagonal elements overwriting
-* the diagonal elements of A; the elements below the diagonal
-* with the array TAU, represent the orthogonal matrix Q as a
-* product of elementary reflectors.
-* See Further Details.
-*
-* LDA (input) INTEGER
-* The leading dimension of the array A. LDA >= (1,N).
-*
-* E (output) DOUBLE PRECISION array, dimension (N-1)
-* If UPLO = 'U', E(n-nb:n-1) contains the superdiagonal
-* elements of the last NB columns of the reduced matrix;
-* if UPLO = 'L', E(1:nb) contains the subdiagonal elements of
-* the first NB columns of the reduced matrix.
-*
-* TAU (output) DOUBLE PRECISION array, dimension (N-1)
-* The scalar factors of the elementary reflectors, stored in
-* TAU(n-nb:n-1) if UPLO = 'U', and in TAU(1:nb) if UPLO = 'L'.
-* See Further Details.
-*
-* W (output) DOUBLE PRECISION array, dimension (LDW,NB)
-* The n-by-nb matrix W required to update the unreduced part
-* of A.
-*
-* LDW (input) INTEGER
-* The leading dimension of the array W. LDW >= max(1,N).
-*
-* Further Details
-* ===============
-*
-* If UPLO = 'U', the matrix Q is represented as a product of elementary
-* reflectors
-*
-* Q = H(n) H(n-1) . . . H(n-nb+1).
-*
-* Each H(i) has the form
-*
-* H(i) = I - tau * v * v'
-*
-* where tau is a real scalar, and v is a real vector with
-* v(i:n) = 0 and v(i-1) = 1; v(1:i-1) is stored on exit in A(1:i-1,i),
-* and tau in TAU(i-1).
-*
-* If UPLO = 'L', the matrix Q is represented as a product of elementary
-* reflectors
-*
-* Q = H(1) H(2) . . . H(nb).
-*
-* Each H(i) has the form
-*
-* H(i) = I - tau * v * v'
-*
-* where tau is a real scalar, and v is a real vector with
-* v(1:i) = 0 and v(i+1) = 1; v(i+1:n) is stored on exit in A(i+1:n,i),
-* and tau in TAU(i).
-*
-* The elements of the vectors v together form the n-by-nb matrix V
-* which is needed, with W, to apply the transformation to the unreduced
-* part of the matrix, using a symmetric rank-2k update of the form:
-* A := A - V*W' - W*V'.
-*
-* The contents of A on exit are illustrated by the following examples
-* with n = 5 and nb = 2:
-*
-* if UPLO = 'U': if UPLO = 'L':
-*
-* ( a a a v4 v5 ) ( d )
-* ( a a v4 v5 ) ( 1 d )
-* ( a 1 v5 ) ( v1 1 a )
-* ( d 1 ) ( v1 v2 a a )
-* ( d ) ( v1 v2 a a a )
-*
-* where d denotes a diagonal element of the reduced matrix, a denotes
-* an element of the original matrix that is unchanged, and vi denotes
-* an element of the vector defining H(i).
-*
-* =====================================================================
-*
-* .. Parameters ..
- DOUBLE PRECISION ZERO, ONE, HALF
- PARAMETER ( ZERO = 0.0D+0, ONE = 1.0D+0, HALF = 0.5D+0 )
-* ..
-* .. Local Scalars ..
- INTEGER I, IW
- DOUBLE PRECISION ALPHA
-* ..
-* .. External Subroutines ..
- EXTERNAL DAXPY, DGEMV, DLARFG, DSCAL, DSYMV
-* ..
-* .. External Functions ..
- LOGICAL LSAME
- DOUBLE PRECISION DDOT
- EXTERNAL LSAME, DDOT
-* ..
-* .. Intrinsic Functions ..
- INTRINSIC MIN
-* ..
-* .. Executable Statements ..
-*
-* Quick return if possible
-*
- IF( N.LE.0 )
- $ RETURN
-*
- IF( LSAME( UPLO, 'U' ) ) THEN
-*
-* Reduce last NB columns of upper triangle
-*
- DO 10 I = N, N - NB + 1, -1
- IW = I - N + NB
- IF( I.LT.N ) THEN
-*
-* Update A(1:i,i)
-*
- CALL DGEMV( 'No transpose', I, N-I, -ONE, A( 1, I+1 ),
- $ LDA, W( I, IW+1 ), LDW, ONE, A( 1, I ), 1 )
- CALL DGEMV( 'No transpose', I, N-I, -ONE, W( 1, IW+1 ),
- $ LDW, A( I, I+1 ), LDA, ONE, A( 1, I ), 1 )
- END IF
- IF( I.GT.1 ) THEN
-*
-* Generate elementary reflector H(i) to annihilate
-* A(1:i-2,i)
-*
- CALL DLARFG( I-1, A( I-1, I ), A( 1, I ), 1, TAU( I-1 ) )
- E( I-1 ) = A( I-1, I )
- A( I-1, I ) = ONE
-*
-* Compute W(1:i-1,i)
-*
- CALL DSYMV( 'Upper', I-1, ONE, A, LDA, A( 1, I ), 1,
- $ ZERO, W( 1, IW ), 1 )
- IF( I.LT.N ) THEN
- CALL DGEMV( 'Transpose', I-1, N-I, ONE, W( 1, IW+1 ),
- $ LDW, A( 1, I ), 1, ZERO, W( I+1, IW ), 1 )
- CALL DGEMV( 'No transpose', I-1, N-I, -ONE,
- $ A( 1, I+1 ), LDA, W( I+1, IW ), 1, ONE,
- $ W( 1, IW ), 1 )
- CALL DGEMV( 'Transpose', I-1, N-I, ONE, A( 1, I+1 ),
- $ LDA, A( 1, I ), 1, ZERO, W( I+1, IW ), 1 )
- CALL DGEMV( 'No transpose', I-1, N-I, -ONE,
- $ W( 1, IW+1 ), LDW, W( I+1, IW ), 1, ONE,
- $ W( 1, IW ), 1 )
- END IF
- CALL DSCAL( I-1, TAU( I-1 ), W( 1, IW ), 1 )
- ALPHA = -HALF*TAU( I-1 )*DDOT( I-1, W( 1, IW ), 1,
- $ A( 1, I ), 1 )
- CALL DAXPY( I-1, ALPHA, A( 1, I ), 1, W( 1, IW ), 1 )
- END IF
-*
- 10 CONTINUE
- ELSE
-*
-* Reduce first NB columns of lower triangle
-*
- DO 20 I = 1, NB
-*
-* Update A(i:n,i)
-*
- CALL DGEMV( 'No transpose', N-I+1, I-1, -ONE, A( I, 1 ),
- $ LDA, W( I, 1 ), LDW, ONE, A( I, I ), 1 )
- CALL DGEMV( 'No transpose', N-I+1, I-1, -ONE, W( I, 1 ),
- $ LDW, A( I, 1 ), LDA, ONE, A( I, I ), 1 )
- IF( I.LT.N ) THEN
-*
-* Generate elementary reflector H(i) to annihilate
-* A(i+2:n,i)
-*
- CALL DLARFG( N-I, A( I+1, I ), A( MIN( I+2, N ), I ), 1,
- $ TAU( I ) )
- E( I ) = A( I+1, I )
- A( I+1, I ) = ONE
-*
-* Compute W(i+1:n,i)
-*
- CALL DSYMV( 'Lower', N-I, ONE, A( I+1, I+1 ), LDA,
- $ A( I+1, I ), 1, ZERO, W( I+1, I ), 1 )
- CALL DGEMV( 'Transpose', N-I, I-1, ONE, W( I+1, 1 ), LDW,
- $ A( I+1, I ), 1, ZERO, W( 1, I ), 1 )
- CALL DGEMV( 'No transpose', N-I, I-1, -ONE, A( I+1, 1 ),
- $ LDA, W( 1, I ), 1, ONE, W( I+1, I ), 1 )
- CALL DGEMV( 'Transpose', N-I, I-1, ONE, A( I+1, 1 ), LDA,
- $ A( I+1, I ), 1, ZERO, W( 1, I ), 1 )
- CALL DGEMV( 'No transpose', N-I, I-1, -ONE, W( I+1, 1 ),
- $ LDW, W( 1, I ), 1, ONE, W( I+1, I ), 1 )
- CALL DSCAL( N-I, TAU( I ), W( I+1, I ), 1 )
- ALPHA = -HALF*TAU( I )*DDOT( N-I, W( I+1, I ), 1,
- $ A( I+1, I ), 1 )
- CALL DAXPY( N-I, ALPHA, A( I+1, I ), 1, W( I+1, I ), 1 )
- END IF
-*
- 20 CONTINUE
- END IF
-*
- RETURN
-*
-* End of DLATRD
-*
- END