#include "blaswrap.h" #include "f2c.h" /* Subroutine */ int cgebrd_(integer *m, integer *n, complex *a, integer *lda, real *d__, real *e, complex *tauq, complex *taup, complex *work, integer *lwork, integer *info) { /* -- LAPACK routine (version 3.1) -- Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. November 2006 Purpose ======= CGEBRD reduces a general complex M-by-N matrix A to upper or lower bidiagonal form B by a unitary transformation: Q**H * A * P = B. If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal. Arguments ========= M (input) INTEGER The number of rows in the matrix A. M >= 0. N (input) INTEGER The number of columns in the matrix A. N >= 0. A (input/output) COMPLEX array, dimension (LDA,N) On entry, the M-by-N general matrix to be reduced. On exit, if m >= n, the diagonal and the first superdiagonal are overwritten with the upper bidiagonal matrix B; the elements below the diagonal, with the array TAUQ, represent the unitary matrix Q as a product of elementary reflectors, and the elements above the first superdiagonal, with the array TAUP, represent the unitary matrix P as a product of elementary reflectors; if m < n, the diagonal and the first subdiagonal are overwritten with the lower bidiagonal matrix B; the elements below the first subdiagonal, with the array TAUQ, represent the unitary matrix Q as a product of elementary reflectors, and the elements above the diagonal, with the array TAUP, represent the unitary matrix P as a product of elementary reflectors. See Further Details. LDA (input) INTEGER The leading dimension of the array A. LDA >= max(1,M). D (output) REAL array, dimension (min(M,N)) The diagonal elements of the bidiagonal matrix B: D(i) = A(i,i). E (output) REAL array, dimension (min(M,N)-1) The off-diagonal elements of the bidiagonal matrix B: if m >= n, E(i) = A(i,i+1) for i = 1,2,...,n-1; if m < n, E(i) = A(i+1,i) for i = 1,2,...,m-1. TAUQ (output) COMPLEX array dimension (min(M,N)) The scalar factors of the elementary reflectors which represent the unitary matrix Q. See Further Details. TAUP (output) COMPLEX array, dimension (min(M,N)) The scalar factors of the elementary reflectors which represent the unitary matrix P. See Further Details. WORK (workspace/output) COMPLEX array, dimension (MAX(1,LWORK)) On exit, if INFO = 0, WORK(1) returns the optimal LWORK. LWORK (input) INTEGER The length of the array WORK. LWORK >= max(1,M,N). For optimum performance LWORK >= (M+N)*NB, where NB is the optimal blocksize. If LWORK = -1, then a workspace query is assumed; the routine only calculates the optimal size of the WORK array, returns this value as the first entry of the WORK array, and no error message related to LWORK is issued by XERBLA. INFO (output) INTEGER = 0: successful exit. < 0: if INFO = -i, the i-th argument had an illegal value. Further Details =============== The matrices Q and P are represented as products of elementary reflectors: If m >= n, Q = H(1) H(2) . . . H(n) and P = G(1) G(2) . . . G(n-1) Each H(i) and G(i) has the form: H(i) = I - tauq * v * v' and G(i) = I - taup * u * u' where tauq and taup are complex scalars, and v and u are complex vectors; v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i); u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n); tauq is stored in TAUQ(i) and taup in TAUP(i). If m < n, Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m) Each H(i) and G(i) has the form: H(i) = I - tauq * v * v' and G(i) = I - taup * u * u' where tauq and taup are complex scalars, and v and u are complex vectors; v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i); u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n); tauq is stored in TAUQ(i) and taup in TAUP(i). The contents of A on exit are illustrated by the following examples: m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n): ( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 ) ( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 ) ( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 ) ( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 ) ( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 ) ( v1 v2 v3 v4 v5 ) where d and e denote diagonal and off-diagonal elements of B, vi denotes an element of the vector defining H(i), and ui an element of the vector defining G(i). ===================================================================== Test the input parameters Parameter adjustments */ /* Table of constant values */ static complex c_b1 = {1.f,0.f}; static integer c__1 = 1; static integer c_n1 = -1; static integer c__3 = 3; static integer c__2 = 2; /* System generated locals */ integer a_dim1, a_offset, i__1, i__2, i__3, i__4, i__5; real r__1; complex q__1; /* Local variables */ static integer i__, j, nb, nx; static real ws; extern /* Subroutine */ int cgemm_(char *, char *, integer *, integer *, integer *, complex *, complex *, integer *, complex *, integer *, complex *, complex *, integer *); static integer nbmin, iinfo, minmn; extern /* Subroutine */ int cgebd2_(integer *, integer *, complex *, integer *, real *, real *, complex *, complex *, complex *, integer *), clabrd_(integer *, integer *, integer *, complex *, integer *, real *, real *, complex *, complex *, complex *, integer *, complex *, integer *), xerbla_(char *, integer *); extern integer ilaenv_(integer *, char *, char *, integer *, integer *, integer *, integer *, ftnlen, ftnlen); static integer ldwrkx, ldwrky, lwkopt; static logical lquery; a_dim1 = *lda; a_offset = 1 + a_dim1; a -= a_offset; --d__; --e; --tauq; --taup; --work; /* Function Body */ *info = 0; /* Computing MAX */ i__1 = 1, i__2 = ilaenv_(&c__1, "CGEBRD", " ", m, n, &c_n1, &c_n1, (ftnlen)6, (ftnlen)1); nb = max(i__1,i__2); lwkopt = (*m + *n) * nb; r__1 = (real) lwkopt; work[1].r = r__1, work[1].i = 0.f; lquery = *lwork == -1; if (*m < 0) { *info = -1; } else if (*n < 0) { *info = -2; } else if (*lda < max(1,*m)) { *info = -4; } else /* if(complicated condition) */ { /* Computing MAX */ i__1 = max(1,*m); if (*lwork < max(i__1,*n) && ! lquery) { *info = -10; } } if (*info < 0) { i__1 = -(*info); xerbla_("CGEBRD", &i__1); return 0; } else if (lquery) { return 0; } /* Quick return if possible */ minmn = min(*m,*n); if (minmn == 0) { work[1].r = 1.f, work[1].i = 0.f; return 0; } ws = (real) max(*m,*n); ldwrkx = *m; ldwrky = *n; if (nb > 1 && nb < minmn) { /* Set the crossover point NX. Computing MAX */ i__1 = nb, i__2 = ilaenv_(&c__3, "CGEBRD", " ", m, n, &c_n1, &c_n1, (ftnlen)6, (ftnlen)1); nx = max(i__1,i__2); /* Determine when to switch from blocked to unblocked code. */ if (nx < minmn) { ws = (real) ((*m + *n) * nb); if ((real) (*lwork) < ws) { /* Not enough work space for the optimal NB, consider using a smaller block size. */ nbmin = ilaenv_(&c__2, "CGEBRD", " ", m, n, &c_n1, &c_n1, (ftnlen)6, (ftnlen)1); if (*lwork >= (*m + *n) * nbmin) { nb = *lwork / (*m + *n); } else { nb = 1; nx = minmn; } } } } else { nx = minmn; } i__1 = minmn - nx; i__2 = nb; for (i__ = 1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) { /* Reduce rows and columns i:i+ib-1 to bidiagonal form and return the matrices X and Y which are needed to update the unreduced part of the matrix */ i__3 = *m - i__ + 1; i__4 = *n - i__ + 1; clabrd_(&i__3, &i__4, &nb, &a[i__ + i__ * a_dim1], lda, &d__[i__], &e[ i__], &tauq[i__], &taup[i__], &work[1], &ldwrkx, &work[ldwrkx * nb + 1], &ldwrky); /* Update the trailing submatrix A(i+ib:m,i+ib:n), using an update of the form A := A - V*Y' - X*U' */ i__3 = *m - i__ - nb + 1; i__4 = *n - i__ - nb + 1; q__1.r = -1.f, q__1.i = -0.f; cgemm_("No transpose", "Conjugate transpose", &i__3, &i__4, &nb, & q__1, &a[i__ + nb + i__ * a_dim1], lda, &work[ldwrkx * nb + nb + 1], &ldwrky, &c_b1, &a[i__ + nb + (i__ + nb) * a_dim1], lda); i__3 = *m - i__ - nb + 1; i__4 = *n - i__ - nb + 1; q__1.r = -1.f, q__1.i = -0.f; cgemm_("No transpose", "No transpose", &i__3, &i__4, &nb, &q__1, & work[nb + 1], &ldwrkx, &a[i__ + (i__ + nb) * a_dim1], lda, & c_b1, &a[i__ + nb + (i__ + nb) * a_dim1], lda); /* Copy diagonal and off-diagonal elements of B back into A */ if (*m >= *n) { i__3 = i__ + nb - 1; for (j = i__; j <= i__3; ++j) { i__4 = j + j * a_dim1; i__5 = j; a[i__4].r = d__[i__5], a[i__4].i = 0.f; i__4 = j + (j + 1) * a_dim1; i__5 = j; a[i__4].r = e[i__5], a[i__4].i = 0.f; /* L10: */ } } else { i__3 = i__ + nb - 1; for (j = i__; j <= i__3; ++j) { i__4 = j + j * a_dim1; i__5 = j; a[i__4].r = d__[i__5], a[i__4].i = 0.f; i__4 = j + 1 + j * a_dim1; i__5 = j; a[i__4].r = e[i__5], a[i__4].i = 0.f; /* L20: */ } } /* L30: */ } /* Use unblocked code to reduce the remainder of the matrix */ i__2 = *m - i__ + 1; i__1 = *n - i__ + 1; cgebd2_(&i__2, &i__1, &a[i__ + i__ * a_dim1], lda, &d__[i__], &e[i__], & tauq[i__], &taup[i__], &work[1], &iinfo); work[1].r = ws, work[1].i = 0.f; return 0; /* End of CGEBRD */ } /* cgebrd_ */