LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ sgeqrt2()

subroutine sgeqrt2 ( integer  m,
integer  n,
real, dimension( lda, * )  a,
integer  lda,
real, dimension( ldt, * )  t,
integer  ldt,
integer  info 
)

SGEQRT2 computes a QR factorization of a general real or complex matrix using the compact WY representation of Q.

Download SGEQRT2 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
 SGEQRT2 computes a QR factorization of a real M-by-N matrix A,
 using the compact WY representation of Q.
Parameters
[in]M
          M is INTEGER
          The number of rows of the matrix A.  M >= N.
[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 real M-by-N matrix A.  On exit, the elements on and
          above the diagonal contain the N-by-N upper triangular matrix R; the
          elements below the diagonal are the columns of V.  See below for
          further details.
[in]LDA
          LDA is INTEGER
          The leading dimension of the array A.  LDA >= max(1,M).
[out]T
          T is REAL array, dimension (LDT,N)
          The N-by-N upper triangular factor of the block reflector.
          The elements on and above the diagonal contain the block
          reflector T; the elements below the diagonal are not used.
          See below for further details.
[in]LDT
          LDT is INTEGER
          The leading dimension of the array T.  LDT >= max(1,N).
[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 V stores the elementary reflectors H(i) in the i-th column
  below the diagonal. For example, if M=5 and N=3, the matrix V is

               V = (  1       )
                   ( v1  1    )
                   ( v1 v2  1 )
                   ( v1 v2 v3 )
                   ( v1 v2 v3 )

  where the vi's represent the vectors which define H(i), which are returned
  in the matrix A.  The 1's along the diagonal of V are not stored in A.  The
  block reflector H is then given by

               H = I - V * T * V**T

  where V**T is the transpose of V.

Definition at line 126 of file sgeqrt2.f.

127*
128* -- LAPACK computational routine --
129* -- LAPACK is a software package provided by Univ. of Tennessee, --
130* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
131*
132* .. Scalar Arguments ..
133 INTEGER INFO, LDA, LDT, M, N
134* ..
135* .. Array Arguments ..
136 REAL A( LDA, * ), T( LDT, * )
137* ..
138*
139* =====================================================================
140*
141* .. Parameters ..
142 REAL ONE, ZERO
143 parameter( one = 1.0, zero = 0.0 )
144* ..
145* .. Local Scalars ..
146 INTEGER I, K
147 REAL AII, ALPHA
148* ..
149* .. External Subroutines ..
150 EXTERNAL slarfg, sgemv, sger, strmv, xerbla
151* ..
152* .. Executable Statements ..
153*
154* Test the input arguments
155*
156 info = 0
157 IF( n.LT.0 ) THEN
158 info = -2
159 ELSE IF( m.LT.n ) THEN
160 info = -1
161 ELSE IF( lda.LT.max( 1, m ) ) THEN
162 info = -4
163 ELSE IF( ldt.LT.max( 1, n ) ) THEN
164 info = -6
165 END IF
166 IF( info.NE.0 ) THEN
167 CALL xerbla( 'SGEQRT2', -info )
168 RETURN
169 END IF
170*
171 k = min( m, n )
172*
173 DO i = 1, k
174*
175* Generate elem. refl. H(i) to annihilate A(i+1:m,i), tau(I) -> T(I,1)
176*
177 CALL slarfg( m-i+1, a( i, i ), a( min( i+1, m ), i ), 1,
178 $ t( i, 1 ) )
179 IF( i.LT.n ) THEN
180*
181* Apply H(i) to A(I:M,I+1:N) from the left
182*
183 aii = a( i, i )
184 a( i, i ) = one
185*
186* W(1:N-I) := A(I:M,I+1:N)^H * A(I:M,I) [W = T(:,N)]
187*
188 CALL sgemv( 'T',m-i+1, n-i, one, a( i, i+1 ), lda,
189 $ a( i, i ), 1, zero, t( 1, n ), 1 )
190*
191* A(I:M,I+1:N) = A(I:m,I+1:N) + alpha*A(I:M,I)*W(1:N-1)^H
192*
193 alpha = -(t( i, 1 ))
194 CALL sger( m-i+1, n-i, alpha, a( i, i ), 1,
195 $ t( 1, n ), 1, a( i, i+1 ), lda )
196 a( i, i ) = aii
197 END IF
198 END DO
199*
200 DO i = 2, n
201 aii = a( i, i )
202 a( i, i ) = one
203*
204* T(1:I-1,I) := alpha * A(I:M,1:I-1)**T * A(I:M,I)
205*
206 alpha = -t( i, 1 )
207 CALL sgemv( 'T', m-i+1, i-1, alpha, a( i, 1 ), lda,
208 $ a( i, i ), 1, zero, t( 1, i ), 1 )
209 a( i, i ) = aii
210*
211* T(1:I-1,I) := T(1:I-1,1:I-1) * T(1:I-1,I)
212*
213 CALL strmv( 'U', 'N', 'N', i-1, t, ldt, t( 1, i ), 1 )
214*
215* T(I,I) = tau(I)
216*
217 t( i, i ) = t( i, 1 )
218 t( i, 1) = zero
219 END DO
220
221*
222* End of SGEQRT2
223*
subroutine xerbla(srname, info)
Definition cblat2.f:3285
subroutine sgemv(trans, m, n, alpha, a, lda, x, incx, beta, y, incy)
SGEMV
Definition sgemv.f:158
subroutine sger(m, n, alpha, x, incx, y, incy, a, lda)
SGER
Definition sger.f:130
subroutine slarfg(n, alpha, x, incx, tau)
SLARFG generates an elementary reflector (Householder matrix).
Definition slarfg.f:106
subroutine strmv(uplo, trans, diag, n, a, lda, x, incx)
STRMV
Definition strmv.f:147
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