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    | SRC/zlatsqr.f(3) | LAPACK | SRC/zlatsqr.f(3) |  
 subroutine zlatsqr (m, n, mb, nb, a, lda, t, ldt, work,
    lwork, info)
  ZLATSQR
 
 ZLATSQR Purpose: 
ZLATSQR computes a blocked Tall-Skinny QR factorization of
 a complex M-by-N matrix A for M >= N:
 A = Q * ( R ),
 ( 0 )
 where:
 Q is a M-by-M orthogonal matrix, stored on exit in an implicit
 form in the elements below the diagonal of the array A and in
 the elements of the array T;
 R is an upper-triangular N-by-N matrix, stored on exit in
 the elements on and above the diagonal of the array A.
 0 is a (M-N)-by-N zero matrix, and is not stored.
 Parameters M
M is INTEGER
 The number of rows of the matrix A.  M >= 0.
 N 
N is INTEGER
 The number of columns of the matrix A. M >= N >= 0.
 MB 
MB is INTEGER
 The row block size to be used in the blocked QR.
 MB > N.
 NB 
NB is INTEGER
 The column block size to be used in the blocked QR.
 N >= NB >= 1.
 A 
A is COMPLEX*16 array, dimension (LDA,N)
 On entry, the M-by-N matrix A.
 On exit, the elements on and above the diagonal
 of the array contain the N-by-N upper triangular matrix R;
 the elements below the diagonal represent Q by the columns
 of blocked V (see Further Details).
 LDA 
LDA is INTEGER
 The leading dimension of the array A.  LDA >= max(1,M).
 T 
T is COMPLEX*16 array,
 dimension (LDT, N * Number_of_row_blocks)
 where Number_of_row_blocks = CEIL((M-N)/(MB-N))
 The blocked upper triangular block reflectors stored in compact form
 as a sequence of upper triangular blocks.
 See Further Details below.
 LDT 
LDT is INTEGER
 The leading dimension of the array T.  LDT >= NB.
 WORK 
(workspace) COMPLEX*16 array, dimension (MAX(1,LWORK))
 LWORK 
LWORK is INTEGER
 The dimension of the array WORK.  LWORK >= NB*N.
 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 
INFO is INTEGER
 = 0:  successful exit
 < 0:  if INFO = -i, the i-th argument had an illegal value
 Author Univ. of Tennessee
 Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd.Further Details: 
Tall-Skinny QR (TSQR) performs QR by a sequence of orthogonal transformations,
 representing Q as a product of other orthogonal matrices
 Q = Q(1) * Q(2) * . . . * Q(k)
 where each Q(i) zeros out subdiagonal entries of a block of MB rows of A:
 Q(1) zeros out the subdiagonal entries of rows 1:MB of A
 Q(2) zeros out the bottom MB-N rows of rows [1:N,MB+1:2*MB-N] of A
 Q(3) zeros out the bottom MB-N rows of rows [1:N,2*MB-N+1:3*MB-2*N] of A
 . . .
 Q(1) is computed by GEQRT, which represents Q(1) by Householder vectors
 stored under the diagonal of rows 1:MB of A, and by upper triangular
 block reflectors, stored in array T(1:LDT,1:N).
 For more information see Further Details in GEQRT.
 Q(i) for i>1 is computed by TPQRT, which represents Q(i) by Householder vectors
 stored in rows [(i-1)*(MB-N)+N+1:i*(MB-N)+N] of A, and by upper triangular
 block reflectors, stored in array T(1:LDT,(i-1)*N+1:i*N).
 The last Q(k) may use fewer rows.
 For more information see Further Details in TPQRT.
 For more details of the overall algorithm, see the description of
 Sequential TSQR in Section 2.2 of [1].
 [1] “Communication-Optimal Parallel and Sequential QR and LU Factorizations,”
 J. Demmel, L. Grigori, M. Hoemmen, J. Langou,
 SIAM J. Sci. Comput, vol. 34, no. 1, 2012
 Definition at line 167 of file zlatsqr.f. Generated automatically by Doxygen for LAPACK from the source
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