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Open Source Computer Vision Library
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324 lines
10 KiB
324 lines
10 KiB
15 years ago
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#include "clapack.h"
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/* Table of constant values */
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static integer c__1 = 1;
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static integer c_n1 = -1;
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static integer c__3 = 3;
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static integer c__2 = 2;
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static real c_b21 = -1.f;
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static real c_b22 = 1.f;
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/* Subroutine */ int sgebrd_(integer *m, integer *n, real *a, integer *lda,
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real *d__, real *e, real *tauq, real *taup, real *work, integer *
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lwork, integer *info)
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{
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/* System generated locals */
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integer a_dim1, a_offset, i__1, i__2, i__3, i__4;
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/* Local variables */
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integer i__, j, nb, nx;
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real ws;
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integer nbmin, iinfo;
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extern /* Subroutine */ int sgemm_(char *, char *, integer *, integer *,
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integer *, real *, real *, integer *, real *, integer *, real *,
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real *, integer *);
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integer minmn;
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extern /* Subroutine */ int sgebd2_(integer *, integer *, real *, integer
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*, real *, real *, real *, real *, real *, integer *), slabrd_(
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integer *, integer *, integer *, real *, integer *, real *, real *
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, real *, real *, real *, integer *, real *, integer *), xerbla_(
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char *, integer *);
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extern integer ilaenv_(integer *, char *, char *, integer *, integer *,
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integer *, integer *);
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integer ldwrkx, ldwrky, lwkopt;
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logical lquery;
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/* -- LAPACK routine (version 3.1) -- */
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/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
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/* November 2006 */
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/* .. Scalar Arguments .. */
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/* .. */
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/* .. Array Arguments .. */
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/* .. */
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/* Purpose */
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/* ======= */
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/* SGEBRD reduces a general real M-by-N matrix A to upper or lower */
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/* bidiagonal form B by an orthogonal transformation: Q**T * A * P = B. */
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/* If m >= n, B is upper bidiagonal; if m < n, B is lower bidiagonal. */
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/* Arguments */
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/* ========= */
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/* M (input) INTEGER */
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/* The number of rows in the matrix A. M >= 0. */
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/* N (input) INTEGER */
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/* The number of columns in the matrix A. N >= 0. */
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/* A (input/output) REAL array, dimension (LDA,N) */
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/* On entry, the M-by-N general matrix to be reduced. */
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/* On exit, */
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/* if m >= n, the diagonal and the first superdiagonal are */
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/* overwritten with the upper bidiagonal matrix B; the */
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/* elements below the diagonal, with the array TAUQ, represent */
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/* the orthogonal matrix Q as a product of elementary */
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/* reflectors, and the elements above the first superdiagonal, */
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/* with the array TAUP, represent the orthogonal matrix P as */
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/* a product of elementary reflectors; */
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/* if m < n, the diagonal and the first subdiagonal are */
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/* overwritten with the lower bidiagonal matrix B; the */
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/* elements below the first subdiagonal, with the array TAUQ, */
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/* represent the orthogonal matrix Q as a product of */
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/* elementary reflectors, and the elements above the diagonal, */
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/* with the array TAUP, represent the orthogonal matrix P as */
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/* a product of elementary reflectors. */
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/* See Further Details. */
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/* LDA (input) INTEGER */
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/* The leading dimension of the array A. LDA >= max(1,M). */
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/* D (output) REAL array, dimension (min(M,N)) */
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/* The diagonal elements of the bidiagonal matrix B: */
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/* D(i) = A(i,i). */
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/* E (output) REAL array, dimension (min(M,N)-1) */
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/* The off-diagonal elements of the bidiagonal matrix B: */
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/* if m >= n, E(i) = A(i,i+1) for i = 1,2,...,n-1; */
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/* if m < n, E(i) = A(i+1,i) for i = 1,2,...,m-1. */
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/* TAUQ (output) REAL array dimension (min(M,N)) */
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/* The scalar factors of the elementary reflectors which */
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/* represent the orthogonal matrix Q. See Further Details. */
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/* TAUP (output) REAL array, dimension (min(M,N)) */
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/* The scalar factors of the elementary reflectors which */
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/* represent the orthogonal matrix P. See Further Details. */
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/* WORK (workspace/output) REAL array, dimension (MAX(1,LWORK)) */
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/* On exit, if INFO = 0, WORK(1) returns the optimal LWORK. */
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/* LWORK (input) INTEGER */
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/* The length of the array WORK. LWORK >= max(1,M,N). */
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/* For optimum performance LWORK >= (M+N)*NB, where NB */
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/* is the optimal blocksize. */
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/* If LWORK = -1, then a workspace query is assumed; the routine */
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/* only calculates the optimal size of the WORK array, returns */
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/* this value as the first entry of the WORK array, and no error */
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/* message related to LWORK is issued by XERBLA. */
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/* INFO (output) INTEGER */
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/* = 0: successful exit */
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/* < 0: if INFO = -i, the i-th argument had an illegal value. */
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/* Further Details */
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/* =============== */
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/* The matrices Q and P are represented as products of elementary */
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/* reflectors: */
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/* If m >= n, */
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/* Q = H(1) H(2) . . . H(n) and P = G(1) G(2) . . . G(n-1) */
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/* Each H(i) and G(i) has the form: */
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/* H(i) = I - tauq * v * v' and G(i) = I - taup * u * u' */
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/* where tauq and taup are real scalars, and v and u are real vectors; */
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/* v(1:i-1) = 0, v(i) = 1, and v(i+1:m) is stored on exit in A(i+1:m,i); */
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/* u(1:i) = 0, u(i+1) = 1, and u(i+2:n) is stored on exit in A(i,i+2:n); */
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/* tauq is stored in TAUQ(i) and taup in TAUP(i). */
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/* If m < n, */
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/* Q = H(1) H(2) . . . H(m-1) and P = G(1) G(2) . . . G(m) */
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/* Each H(i) and G(i) has the form: */
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/* H(i) = I - tauq * v * v' and G(i) = I - taup * u * u' */
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/* where tauq and taup are real scalars, and v and u are real vectors; */
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/* v(1:i) = 0, v(i+1) = 1, and v(i+2:m) is stored on exit in A(i+2:m,i); */
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/* u(1:i-1) = 0, u(i) = 1, and u(i+1:n) is stored on exit in A(i,i+1:n); */
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/* tauq is stored in TAUQ(i) and taup in TAUP(i). */
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/* The contents of A on exit are illustrated by the following examples: */
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/* m = 6 and n = 5 (m > n): m = 5 and n = 6 (m < n): */
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/* ( d e u1 u1 u1 ) ( d u1 u1 u1 u1 u1 ) */
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/* ( v1 d e u2 u2 ) ( e d u2 u2 u2 u2 ) */
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/* ( v1 v2 d e u3 ) ( v1 e d u3 u3 u3 ) */
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/* ( v1 v2 v3 d e ) ( v1 v2 e d u4 u4 ) */
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/* ( v1 v2 v3 v4 d ) ( v1 v2 v3 e d u5 ) */
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/* ( v1 v2 v3 v4 v5 ) */
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/* where d and e denote diagonal and off-diagonal elements of B, vi */
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/* denotes an element of the vector defining H(i), and ui an element of */
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/* the vector defining G(i). */
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/* ===================================================================== */
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/* .. Parameters .. */
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/* .. */
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/* .. Local Scalars .. */
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/* .. */
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/* .. External Subroutines .. */
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/* .. */
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/* .. Intrinsic Functions .. */
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/* .. */
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/* .. External Functions .. */
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/* .. */
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/* .. Executable Statements .. */
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/* Test the input parameters */
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/* Parameter adjustments */
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a_dim1 = *lda;
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a_offset = 1 + a_dim1;
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a -= a_offset;
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--d__;
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--e;
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--tauq;
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--taup;
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--work;
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/* Function Body */
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*info = 0;
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/* Computing MAX */
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i__1 = 1, i__2 = ilaenv_(&c__1, "SGEBRD", " ", m, n, &c_n1, &c_n1);
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nb = max(i__1,i__2);
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lwkopt = (*m + *n) * nb;
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work[1] = (real) lwkopt;
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lquery = *lwork == -1;
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if (*m < 0) {
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*info = -1;
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} else if (*n < 0) {
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*info = -2;
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} else if (*lda < max(1,*m)) {
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*info = -4;
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} else /* if(complicated condition) */ {
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/* Computing MAX */
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i__1 = max(1,*m);
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if (*lwork < max(i__1,*n) && ! lquery) {
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*info = -10;
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}
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}
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if (*info < 0) {
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i__1 = -(*info);
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xerbla_("SGEBRD", &i__1);
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return 0;
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} else if (lquery) {
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return 0;
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}
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/* Quick return if possible */
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minmn = min(*m,*n);
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if (minmn == 0) {
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work[1] = 1.f;
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return 0;
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}
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ws = (real) max(*m,*n);
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ldwrkx = *m;
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ldwrky = *n;
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if (nb > 1 && nb < minmn) {
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/* Set the crossover point NX. */
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/* Computing MAX */
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i__1 = nb, i__2 = ilaenv_(&c__3, "SGEBRD", " ", m, n, &c_n1, &c_n1);
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nx = max(i__1,i__2);
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/* Determine when to switch from blocked to unblocked code. */
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if (nx < minmn) {
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ws = (real) ((*m + *n) * nb);
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if ((real) (*lwork) < ws) {
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/* Not enough work space for the optimal NB, consider using */
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/* a smaller block size. */
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nbmin = ilaenv_(&c__2, "SGEBRD", " ", m, n, &c_n1, &c_n1);
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if (*lwork >= (*m + *n) * nbmin) {
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nb = *lwork / (*m + *n);
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} else {
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nb = 1;
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nx = minmn;
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}
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}
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}
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} else {
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nx = minmn;
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}
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i__1 = minmn - nx;
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i__2 = nb;
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for (i__ = 1; i__2 < 0 ? i__ >= i__1 : i__ <= i__1; i__ += i__2) {
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/* Reduce rows and columns i:i+nb-1 to bidiagonal form and return */
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/* the matrices X and Y which are needed to update the unreduced */
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/* part of the matrix */
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i__3 = *m - i__ + 1;
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i__4 = *n - i__ + 1;
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slabrd_(&i__3, &i__4, &nb, &a[i__ + i__ * a_dim1], lda, &d__[i__], &e[
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i__], &tauq[i__], &taup[i__], &work[1], &ldwrkx, &work[ldwrkx
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* nb + 1], &ldwrky);
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/* Update the trailing submatrix A(i+nb:m,i+nb:n), using an update */
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/* of the form A := A - V*Y' - X*U' */
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i__3 = *m - i__ - nb + 1;
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i__4 = *n - i__ - nb + 1;
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sgemm_("No transpose", "Transpose", &i__3, &i__4, &nb, &c_b21, &a[i__
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+ nb + i__ * a_dim1], lda, &work[ldwrkx * nb + nb + 1], &
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ldwrky, &c_b22, &a[i__ + nb + (i__ + nb) * a_dim1], lda);
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i__3 = *m - i__ - nb + 1;
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i__4 = *n - i__ - nb + 1;
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sgemm_("No transpose", "No transpose", &i__3, &i__4, &nb, &c_b21, &
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work[nb + 1], &ldwrkx, &a[i__ + (i__ + nb) * a_dim1], lda, &
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c_b22, &a[i__ + nb + (i__ + nb) * a_dim1], lda);
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/* Copy diagonal and off-diagonal elements of B back into A */
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if (*m >= *n) {
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i__3 = i__ + nb - 1;
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for (j = i__; j <= i__3; ++j) {
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a[j + j * a_dim1] = d__[j];
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a[j + (j + 1) * a_dim1] = e[j];
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/* L10: */
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}
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} else {
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i__3 = i__ + nb - 1;
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for (j = i__; j <= i__3; ++j) {
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a[j + j * a_dim1] = d__[j];
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a[j + 1 + j * a_dim1] = e[j];
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/* L20: */
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}
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}
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/* L30: */
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}
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/* Use unblocked code to reduce the remainder of the matrix */
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i__2 = *m - i__ + 1;
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i__1 = *n - i__ + 1;
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sgebd2_(&i__2, &i__1, &a[i__ + i__ * a_dim1], lda, &d__[i__], &e[i__], &
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tauq[i__], &taup[i__], &work[1], &iinfo);
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work[1] = ws;
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return 0;
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/* End of SGEBRD */
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} /* sgebrd_ */
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