LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ dgelq2()

subroutine dgelq2 ( integer  m,
integer  n,
double precision, dimension( lda, * )  a,
integer  lda,
double precision, dimension( * )  tau,
double precision, dimension( * )  work,
integer  info 
)

DGELQ2 computes the LQ factorization of a general rectangular matrix using an unblocked algorithm.

Download DGELQ2 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
 DGELQ2 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 a 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 DOUBLE PRECISION 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 DOUBLE PRECISION array, dimension (min(M,N))
          The scalar factors of the elementary reflectors (see Further
          Details).
[out]WORK
          WORK is DOUBLE PRECISION 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.
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 128 of file dgelq2.f.

129*
130* -- LAPACK computational routine --
131* -- LAPACK is a software package provided by Univ. of Tennessee, --
132* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
133*
134* .. Scalar Arguments ..
135 INTEGER INFO, LDA, M, N
136* ..
137* .. Array Arguments ..
138 DOUBLE PRECISION A( LDA, * ), TAU( * ), WORK( * )
139* ..
140*
141* =====================================================================
142*
143* .. Parameters ..
144 DOUBLE PRECISION ONE
145 parameter( one = 1.0d+0 )
146* ..
147* .. Local Scalars ..
148 INTEGER I, K
149 DOUBLE PRECISION AII
150* ..
151* .. External Subroutines ..
152 EXTERNAL dlarf, dlarfg, xerbla
153* ..
154* .. Intrinsic Functions ..
155 INTRINSIC max, min
156* ..
157* .. Executable Statements ..
158*
159* Test the input arguments
160*
161 info = 0
162 IF( m.LT.0 ) THEN
163 info = -1
164 ELSE IF( n.LT.0 ) THEN
165 info = -2
166 ELSE IF( lda.LT.max( 1, m ) ) THEN
167 info = -4
168 END IF
169 IF( info.NE.0 ) THEN
170 CALL xerbla( 'DGELQ2', -info )
171 RETURN
172 END IF
173*
174 k = min( m, n )
175*
176 DO 10 i = 1, k
177*
178* Generate elementary reflector H(i) to annihilate A(i,i+1:n)
179*
180 CALL dlarfg( n-i+1, a( i, i ), a( i, min( i+1, n ) ), lda,
181 $ tau( i ) )
182 IF( i.LT.m ) THEN
183*
184* Apply H(i) to A(i+1:m,i:n) from the right
185*
186 aii = a( i, i )
187 a( i, i ) = one
188 CALL dlarf( 'Right', m-i, n-i+1, a( i, i ), lda, tau( i ),
189 $ a( i+1, i ), lda, work )
190 a( i, i ) = aii
191 END IF
192 10 CONTINUE
193 RETURN
194*
195* End of DGELQ2
196*
subroutine xerbla(srname, info)
Definition cblat2.f:3285
subroutine dlarf(side, m, n, v, incv, tau, c, ldc, work)
DLARF applies an elementary reflector to a general rectangular matrix.
Definition dlarf.f:124
subroutine dlarfg(n, alpha, x, incx, tau)
DLARFG generates an elementary reflector (Householder matrix).
Definition dlarfg.f:106
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