LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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◆ sgeqrt3()

recursive subroutine sgeqrt3 ( integer  m,
integer  n,
real, dimension( lda, * )  a,
integer  lda,
real, dimension( ldt, * )  t,
integer  ldt,
integer  info 
)

SGEQRT3 recursively computes a QR factorization of a general real or complex matrix using the compact WY representation of Q.

Download SGEQRT3 + dependencies [TGZ] [ZIP] [TXT]

Purpose:
 SGEQRT3 recursively computes a QR factorization of a real M-by-N
 matrix A, using the compact WY representation of Q.

 Based on the algorithm of Elmroth and Gustavson,
 IBM J. Res. Develop. Vol 44 No. 4 July 2000.
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.

  For details of the algorithm, see Elmroth and Gustavson (cited above).

Definition at line 131 of file sgeqrt3.f.

132*
133* -- LAPACK computational routine --
134* -- LAPACK is a software package provided by Univ. of Tennessee, --
135* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
136*
137* .. Scalar Arguments ..
138 INTEGER INFO, LDA, M, N, LDT
139* ..
140* .. Array Arguments ..
141 REAL A( LDA, * ), T( LDT, * )
142* ..
143*
144* =====================================================================
145*
146* .. Parameters ..
147 REAL ONE
148 parameter( one = 1.0 )
149* ..
150* .. Local Scalars ..
151 INTEGER I, I1, J, J1, N1, N2, IINFO
152* ..
153* .. External Subroutines ..
154 EXTERNAL slarfg, strmm, sgemm, xerbla
155* ..
156* .. Executable Statements ..
157*
158 info = 0
159 IF( n .LT. 0 ) THEN
160 info = -2
161 ELSE IF( m .LT. n ) THEN
162 info = -1
163 ELSE IF( lda .LT. max( 1, m ) ) THEN
164 info = -4
165 ELSE IF( ldt .LT. max( 1, n ) ) THEN
166 info = -6
167 END IF
168 IF( info.NE.0 ) THEN
169 CALL xerbla( 'SGEQRT3', -info )
170 RETURN
171 END IF
172*
173 IF( n.EQ.1 ) THEN
174*
175* Compute Householder transform when N=1
176*
177 CALL slarfg( m, a(1,1), a( min( 2, m ), 1 ), 1, t(1,1) )
178*
179 ELSE
180*
181* Otherwise, split A into blocks...
182*
183 n1 = n/2
184 n2 = n-n1
185 j1 = min( n1+1, n )
186 i1 = min( n+1, m )
187*
188* Compute A(1:M,1:N1) <- (Y1,R1,T1), where Q1 = I - Y1 T1 Y1^H
189*
190 CALL sgeqrt3( m, n1, a, lda, t, ldt, iinfo )
191*
192* Compute A(1:M,J1:N) = Q1^H A(1:M,J1:N) [workspace: T(1:N1,J1:N)]
193*
194 DO j=1,n2
195 DO i=1,n1
196 t( i, j+n1 ) = a( i, j+n1 )
197 END DO
198 END DO
199 CALL strmm( 'L', 'L', 'T', 'U', n1, n2, one,
200 & a, lda, t( 1, j1 ), ldt )
201*
202 CALL sgemm( 'T', 'N', n1, n2, m-n1, one, a( j1, 1 ), lda,
203 & a( j1, j1 ), lda, one, t( 1, j1 ), ldt)
204*
205 CALL strmm( 'L', 'U', 'T', 'N', n1, n2, one,
206 & t, ldt, t( 1, j1 ), ldt )
207*
208 CALL sgemm( 'N', 'N', m-n1, n2, n1, -one, a( j1, 1 ), lda,
209 & t( 1, j1 ), ldt, one, a( j1, j1 ), lda )
210*
211 CALL strmm( 'L', 'L', 'N', 'U', n1, n2, one,
212 & a, lda, t( 1, j1 ), ldt )
213*
214 DO j=1,n2
215 DO i=1,n1
216 a( i, j+n1 ) = a( i, j+n1 ) - t( i, j+n1 )
217 END DO
218 END DO
219*
220* Compute A(J1:M,J1:N) <- (Y2,R2,T2) where Q2 = I - Y2 T2 Y2^H
221*
222 CALL sgeqrt3( m-n1, n2, a( j1, j1 ), lda,
223 & t( j1, j1 ), ldt, iinfo )
224*
225* Compute T3 = T(1:N1,J1:N) = -T1 Y1^H Y2 T2
226*
227 DO i=1,n1
228 DO j=1,n2
229 t( i, j+n1 ) = (a( j+n1, i ))
230 END DO
231 END DO
232*
233 CALL strmm( 'R', 'L', 'N', 'U', n1, n2, one,
234 & a( j1, j1 ), lda, t( 1, j1 ), ldt )
235*
236 CALL sgemm( 'T', 'N', n1, n2, m-n, one, a( i1, 1 ), lda,
237 & a( i1, j1 ), lda, one, t( 1, j1 ), ldt )
238*
239 CALL strmm( 'L', 'U', 'N', 'N', n1, n2, -one, t, ldt,
240 & t( 1, j1 ), ldt )
241*
242 CALL strmm( 'R', 'U', 'N', 'N', n1, n2, one,
243 & t( j1, j1 ), ldt, t( 1, j1 ), ldt )
244*
245* Y = (Y1,Y2); R = [ R1 A(1:N1,J1:N) ]; T = [T1 T3]
246* [ 0 R2 ] [ 0 T2]
247*
248 END IF
249*
250 RETURN
251*
252* End of SGEQRT3
253*
subroutine xerbla(srname, info)
Definition cblat2.f:3285
subroutine sgemm(transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc)
SGEMM
Definition sgemm.f:188
recursive subroutine sgeqrt3(m, n, a, lda, t, ldt, info)
SGEQRT3 recursively computes a QR factorization of a general real or complex matrix using the compact...
Definition sgeqrt3.f:132
subroutine slarfg(n, alpha, x, incx, tau)
SLARFG generates an elementary reflector (Householder matrix).
Definition slarfg.f:106
subroutine strmm(side, uplo, transa, diag, m, n, alpha, a, lda, b, ldb)
STRMM
Definition strmm.f:177
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