LAPACK  3.9.0
LAPACK: Linear Algebra PACKage

◆ sgelq2()

subroutine sgelq2 ( integer  M,
integer  N,
real, dimension( lda, * )  A,
integer  LDA,
real, dimension( * )  TAU,
real, dimension( * )  WORK,
integer  INFO 
)

SGELQ2 computes the LQ factorization of a general rectangular matrix using an unblocked algorithm.

Download SGELQ2 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
 SGELQ2 computes an LQ factorization of a real m-by-n matrix A:

    A = ( L 0 ) *  Q

 where:

    Q is a n-by-n orthogonal matrix;
    L is an lower-triangular m-by-m matrix;
    0 is a m-by-(n-m) zero matrix, if m < n.
Parameters
[in]M
          M is INTEGER
          The number of rows of the matrix A.  M >= 0.
[in]N
          N is INTEGER
          The number of columns of the matrix A.  N >= 0.
[in,out]A
          A is REAL array, dimension (LDA,N)
          On entry, the m by n matrix A.
          On exit, the elements on and below the diagonal of the array
          contain the m by min(m,n) lower trapezoidal matrix L (L is
          lower triangular if m <= n); the elements above the diagonal,
          with the array TAU, represent the orthogonal matrix Q as a
          product of elementary reflectors (see Further Details).
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(1,M).
[out]TAU
          TAU is REAL array, dimension (min(M,N))
          The scalar factors of the elementary reflectors (see Further
          Details).
[out]WORK
          WORK is REAL array, dimension (M)
[out]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.
Date
November 2019
Further Details:
  The matrix Q is represented as a product of elementary reflectors

     Q = H(k) . . . H(2) H(1), where k = min(m,n).

  Each H(i) has the form

     H(i) = I - tau * v * v**T

  where tau is a real scalar, and v is a real vector with
  v(1:i-1) = 0 and v(i) = 1; v(i+1:n) is stored on exit in A(i,i+1:n),
  and tau in TAU(i).

Definition at line 131 of file sgelq2.f.

131 *
132 * -- LAPACK computational routine (version 3.9.0) --
133 * -- LAPACK is a software package provided by Univ. of Tennessee, --
134 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
135 * November 2019
136 *
137 * .. Scalar Arguments ..
138  INTEGER INFO, LDA, M, N
139 * ..
140 * .. Array Arguments ..
141  REAL A( LDA, * ), TAU( * ), WORK( * )
142 * ..
143 *
144 * =====================================================================
145 *
146 * .. Parameters ..
147  REAL ONE
148  parameter( one = 1.0e+0 )
149 * ..
150 * .. Local Scalars ..
151  INTEGER I, K
152  REAL AII
153 * ..
154 * .. External Subroutines ..
155  EXTERNAL slarf, slarfg, xerbla
156 * ..
157 * .. Intrinsic Functions ..
158  INTRINSIC max, min
159 * ..
160 * .. Executable Statements ..
161 *
162 * Test the input arguments
163 *
164  info = 0
165  IF( m.LT.0 ) THEN
166  info = -1
167  ELSE IF( n.LT.0 ) THEN
168  info = -2
169  ELSE IF( lda.LT.max( 1, m ) ) THEN
170  info = -4
171  END IF
172  IF( info.NE.0 ) THEN
173  CALL xerbla( 'SGELQ2', -info )
174  RETURN
175  END IF
176 *
177  k = min( m, n )
178 *
179  DO 10 i = 1, k
180 *
181 * Generate elementary reflector H(i) to annihilate A(i,i+1:n)
182 *
183  CALL slarfg( n-i+1, a( i, i ), a( i, min( i+1, n ) ), lda,
184  $ tau( i ) )
185  IF( i.LT.m ) THEN
186 *
187 * Apply H(i) to A(i+1:m,i:n) from the right
188 *
189  aii = a( i, i )
190  a( i, i ) = one
191  CALL slarf( 'Right', m-i, n-i+1, a( i, i ), lda, tau( i ),
192  $ a( i+1, i ), lda, work )
193  a( i, i ) = aii
194  END IF
195  10 CONTINUE
196  RETURN
197 *
198 * End of SGELQ2
199 *
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slarfg
subroutine slarfg(N, ALPHA, X, INCX, TAU)
SLARFG generates an elementary reflector (Householder matrix).
Definition: slarfg.f:108
xerbla
subroutine xerbla(SRNAME, INFO)
XERBLA
Definition: xerbla.f:62
slarf
subroutine slarf(SIDE, M, N, V, INCV, TAU, C, LDC, WORK)
SLARF applies an elementary reflector to a general rectangular matrix.
Definition: slarf.f:126