SUBROUTINE CLATRD( UPLO, N, NB, A, LDA, E, TAU, W, LDW ) * * -- LAPACK auxiliary routine (version 3.2) -- * -- LAPACK is a software package provided by Univ. of Tennessee, -- * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..-- * November 2006 * * .. Scalar Arguments .. CHARACTER UPLO INTEGER LDA, LDW, N, NB * .. * .. Array Arguments .. REAL E( * ) COMPLEX A( LDA, * ), TAU( * ), W( LDW, * ) * .. * * Purpose * ======= * * CLATRD reduces NB rows and columns of a complex Hermitian matrix A to * Hermitian tridiagonal form by a unitary 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', CLATRD reduces the last NB rows and columns of a * matrix, of which the upper triangle is supplied; * if UPLO = 'L', CLATRD reduces the first NB rows and columns of a * matrix, of which the lower triangle is supplied. * * This is an auxiliary routine called by CHETRD. * * Arguments * ========= * * UPLO (input) CHARACTER*1 * Specifies whether the upper or lower triangular part of the * Hermitian 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) COMPLEX array, dimension (LDA,N) * On entry, the Hermitian 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 unitary 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 unitary matrix Q as a * product of elementary reflectors. * See Further Details. * * LDA (input) INTEGER * The leading dimension of the array A. LDA >= max(1,N). * * E (output) REAL 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) COMPLEX 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) COMPLEX 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 complex scalar, and v is a complex 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 complex scalar, and v is a complex 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 Hermitian 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 .. COMPLEX ZERO, ONE, HALF PARAMETER ( ZERO = ( 0.0E+0, 0.0E+0 ), $ ONE = ( 1.0E+0, 0.0E+0 ), $ HALF = ( 0.5E+0, 0.0E+0 ) ) * .. * .. Local Scalars .. INTEGER I, IW COMPLEX ALPHA * .. * .. External Subroutines .. EXTERNAL CAXPY, CGEMV, CHEMV, CLACGV, CLARFG, CSCAL * .. * .. External Functions .. LOGICAL LSAME COMPLEX CDOTC EXTERNAL LSAME, CDOTC * .. * .. Intrinsic Functions .. INTRINSIC MIN, REAL * .. * .. 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) * A( I, I ) = REAL( A( I, I ) ) CALL CLACGV( N-I, W( I, IW+1 ), LDW ) CALL CGEMV( 'No transpose', I, N-I, -ONE, A( 1, I+1 ), $ LDA, W( I, IW+1 ), LDW, ONE, A( 1, I ), 1 ) CALL CLACGV( N-I, W( I, IW+1 ), LDW ) CALL CLACGV( N-I, A( I, I+1 ), LDA ) CALL CGEMV( 'No transpose', I, N-I, -ONE, W( 1, IW+1 ), $ LDW, A( I, I+1 ), LDA, ONE, A( 1, I ), 1 ) CALL CLACGV( N-I, A( I, I+1 ), LDA ) A( I, I ) = REAL( A( I, I ) ) END IF IF( I.GT.1 ) THEN * * Generate elementary reflector H(i) to annihilate * A(1:i-2,i) * ALPHA = A( I-1, I ) CALL CLARFG( I-1, ALPHA, A( 1, I ), 1, TAU( I-1 ) ) E( I-1 ) = ALPHA A( I-1, I ) = ONE * * Compute W(1:i-1,i) * CALL CHEMV( 'Upper', I-1, ONE, A, LDA, A( 1, I ), 1, $ ZERO, W( 1, IW ), 1 ) IF( I.LT.N ) THEN CALL CGEMV( 'Conjugate transpose', I-1, N-I, ONE, $ W( 1, IW+1 ), LDW, A( 1, I ), 1, ZERO, $ W( I+1, IW ), 1 ) CALL CGEMV( 'No transpose', I-1, N-I, -ONE, $ A( 1, I+1 ), LDA, W( I+1, IW ), 1, ONE, $ W( 1, IW ), 1 ) CALL CGEMV( 'Conjugate transpose', I-1, N-I, ONE, $ A( 1, I+1 ), LDA, A( 1, I ), 1, ZERO, $ W( I+1, IW ), 1 ) CALL CGEMV( '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 CSCAL( I-1, TAU( I-1 ), W( 1, IW ), 1 ) ALPHA = -HALF*TAU( I-1 )*CDOTC( I-1, W( 1, IW ), 1, $ A( 1, I ), 1 ) CALL CAXPY( 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) * A( I, I ) = REAL( A( I, I ) ) CALL CLACGV( I-1, W( I, 1 ), LDW ) CALL CGEMV( 'No transpose', N-I+1, I-1, -ONE, A( I, 1 ), $ LDA, W( I, 1 ), LDW, ONE, A( I, I ), 1 ) CALL CLACGV( I-1, W( I, 1 ), LDW ) CALL CLACGV( I-1, A( I, 1 ), LDA ) CALL CGEMV( 'No transpose', N-I+1, I-1, -ONE, W( I, 1 ), $ LDW, A( I, 1 ), LDA, ONE, A( I, I ), 1 ) CALL CLACGV( I-1, A( I, 1 ), LDA ) A( I, I ) = REAL( A( I, I ) ) IF( I.LT.N ) THEN * * Generate elementary reflector H(i) to annihilate * A(i+2:n,i) * ALPHA = A( I+1, I ) CALL CLARFG( N-I, ALPHA, A( MIN( I+2, N ), I ), 1, $ TAU( I ) ) E( I ) = ALPHA A( I+1, I ) = ONE * * Compute W(i+1:n,i) * CALL CHEMV( 'Lower', N-I, ONE, A( I+1, I+1 ), LDA, $ A( I+1, I ), 1, ZERO, W( I+1, I ), 1 ) CALL CGEMV( 'Conjugate transpose', N-I, I-1, ONE, $ W( I+1, 1 ), LDW, A( I+1, I ), 1, ZERO, $ W( 1, I ), 1 ) CALL CGEMV( 'No transpose', N-I, I-1, -ONE, A( I+1, 1 ), $ LDA, W( 1, I ), 1, ONE, W( I+1, I ), 1 ) CALL CGEMV( 'Conjugate transpose', N-I, I-1, ONE, $ A( I+1, 1 ), LDA, A( I+1, I ), 1, ZERO, $ W( 1, I ), 1 ) CALL CGEMV( 'No transpose', N-I, I-1, -ONE, W( I+1, 1 ), $ LDW, W( 1, I ), 1, ONE, W( I+1, I ), 1 ) CALL CSCAL( N-I, TAU( I ), W( I+1, I ), 1 ) ALPHA = -HALF*TAU( I )*CDOTC( N-I, W( I+1, I ), 1, $ A( I+1, I ), 1 ) CALL CAXPY( N-I, ALPHA, A( I+1, I ), 1, W( I+1, I ), 1 ) END IF * 20 CONTINUE END IF * RETURN * * End of CLATRD * END