LAPACK 3.12.0
LAPACK: Linear Algebra PACKage
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slahrd.f
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1*> \brief \b SLAHRD reduces the first nb columns of a general rectangular matrix A so that elements below the k-th subdiagonal are zero, and returns auxiliary matrices which are needed to apply the transformation to the unreduced part of A.
2*
3* =========== DOCUMENTATION ===========
4*
5* Online html documentation available at
6* http://www.netlib.org/lapack/explore-html/
7*
8*> \htmlonly
9*> Download SLAHRD + dependencies
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11*> [TGZ]</a>
12*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.zip?format=zip&filename=/lapack/lapack_routine/slahrd.f">
13*> [ZIP]</a>
14*> <a href="http://www.netlib.org/cgi-bin/netlibfiles.txt?format=txt&filename=/lapack/lapack_routine/slahrd.f">
15*> [TXT]</a>
16*> \endhtmlonly
17*
18* Definition:
19* ===========
20*
21* SUBROUTINE SLAHRD( N, K, NB, A, LDA, TAU, T, LDT, Y, LDY )
22*
23* .. Scalar Arguments ..
24* INTEGER K, LDA, LDT, LDY, N, NB
25* ..
26* .. Array Arguments ..
27* REAL A( LDA, * ), T( LDT, NB ), TAU( NB ),
28* $ Y( LDY, NB )
29* ..
30*
31*
32*> \par Purpose:
33* =============
34*>
35*> \verbatim
36*>
37*> This routine is deprecated and has been replaced by routine SLAHR2.
38*>
39*> SLAHRD reduces the first NB columns of a real general n-by-(n-k+1)
40*> matrix A so that elements below the k-th subdiagonal are zero. The
41*> reduction is performed by an orthogonal similarity transformation
42*> Q**T * A * Q. The routine returns the matrices V and T which determine
43*> Q as a block reflector I - V*T*V**T, and also the matrix Y = A * V * T.
44*> \endverbatim
45*
46* Arguments:
47* ==========
48*
49*> \param[in] N
50*> \verbatim
51*> N is INTEGER
52*> The order of the matrix A.
53*> \endverbatim
54*>
55*> \param[in] K
56*> \verbatim
57*> K is INTEGER
58*> The offset for the reduction. Elements below the k-th
59*> subdiagonal in the first NB columns are reduced to zero.
60*> \endverbatim
61*>
62*> \param[in] NB
63*> \verbatim
64*> NB is INTEGER
65*> The number of columns to be reduced.
66*> \endverbatim
67*>
68*> \param[in,out] A
69*> \verbatim
70*> A is REAL array, dimension (LDA,N-K+1)
71*> On entry, the n-by-(n-k+1) general matrix A.
72*> On exit, the elements on and above the k-th subdiagonal in
73*> the first NB columns are overwritten with the corresponding
74*> elements of the reduced matrix; the elements below the k-th
75*> subdiagonal, with the array TAU, represent the matrix Q as a
76*> product of elementary reflectors. The other columns of A are
77*> unchanged. See Further Details.
78*> \endverbatim
79*>
80*> \param[in] LDA
81*> \verbatim
82*> LDA is INTEGER
83*> The leading dimension of the array A. LDA >= max(1,N).
84*> \endverbatim
85*>
86*> \param[out] TAU
87*> \verbatim
88*> TAU is REAL array, dimension (NB)
89*> The scalar factors of the elementary reflectors. See Further
90*> Details.
91*> \endverbatim
92*>
93*> \param[out] T
94*> \verbatim
95*> T is REAL array, dimension (LDT,NB)
96*> The upper triangular matrix T.
97*> \endverbatim
98*>
99*> \param[in] LDT
100*> \verbatim
101*> LDT is INTEGER
102*> The leading dimension of the array T. LDT >= NB.
103*> \endverbatim
104*>
105*> \param[out] Y
106*> \verbatim
107*> Y is REAL array, dimension (LDY,NB)
108*> The n-by-nb matrix Y.
109*> \endverbatim
110*>
111*> \param[in] LDY
112*> \verbatim
113*> LDY is INTEGER
114*> The leading dimension of the array Y. LDY >= N.
115*> \endverbatim
116*
117* Authors:
118* ========
119*
120*> \author Univ. of Tennessee
121*> \author Univ. of California Berkeley
122*> \author Univ. of Colorado Denver
123*> \author NAG Ltd.
124*
125*> \ingroup lahrd
126*
127*> \par Further Details:
128* =====================
129*>
130*> \verbatim
131*>
132*> The matrix Q is represented as a product of nb elementary reflectors
133*>
134*> Q = H(1) H(2) . . . H(nb).
135*>
136*> Each H(i) has the form
137*>
138*> H(i) = I - tau * v * v**T
139*>
140*> where tau is a real scalar, and v is a real vector with
141*> v(1:i+k-1) = 0, v(i+k) = 1; v(i+k+1:n) is stored on exit in
142*> A(i+k+1:n,i), and tau in TAU(i).
143*>
144*> The elements of the vectors v together form the (n-k+1)-by-nb matrix
145*> V which is needed, with T and Y, to apply the transformation to the
146*> unreduced part of the matrix, using an update of the form:
147*> A := (I - V*T*V**T) * (A - Y*V**T).
148*>
149*> The contents of A on exit are illustrated by the following example
150*> with n = 7, k = 3 and nb = 2:
151*>
152*> ( a h a a a )
153*> ( a h a a a )
154*> ( a h a a a )
155*> ( h h a a a )
156*> ( v1 h a a a )
157*> ( v1 v2 a a a )
158*> ( v1 v2 a a a )
159*>
160*> where a denotes an element of the original matrix A, h denotes a
161*> modified element of the upper Hessenberg matrix H, and vi denotes an
162*> element of the vector defining H(i).
163*> \endverbatim
164*>
165* =====================================================================
166 SUBROUTINE slahrd( N, K, NB, A, LDA, TAU, T, LDT, Y, LDY )
167*
168* -- LAPACK auxiliary routine --
169* -- LAPACK is a software package provided by Univ. of Tennessee, --
170* -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
171*
172* .. Scalar Arguments ..
173 INTEGER K, LDA, LDT, LDY, N, NB
174* ..
175* .. Array Arguments ..
176 REAL A( LDA, * ), T( LDT, NB ), TAU( NB ),
177 $ Y( LDY, NB )
178* ..
179*
180* =====================================================================
181*
182* .. Parameters ..
183 REAL ZERO, ONE
184 parameter( zero = 0.0e+0, one = 1.0e+0 )
185* ..
186* .. Local Scalars ..
187 INTEGER I
188 REAL EI
189* ..
190* .. External Subroutines ..
191 EXTERNAL saxpy, scopy, sgemv, slarfg, sscal, strmv
192* ..
193* .. Intrinsic Functions ..
194 INTRINSIC min
195* ..
196* .. Executable Statements ..
197*
198* Quick return if possible
199*
200 IF( n.LE.1 )
201 $ RETURN
202*
203 DO 10 i = 1, nb
204 IF( i.GT.1 ) THEN
205*
206* Update A(1:n,i)
207*
208* Compute i-th column of A - Y * V**T
209*
210 CALL sgemv( 'No transpose', n, i-1, -one, y, ldy,
211 $ a( k+i-1, 1 ), lda, one, a( 1, i ), 1 )
212*
213* Apply I - V * T**T * V**T to this column (call it b) from the
214* left, using the last column of T as workspace
215*
216* Let V = ( V1 ) and b = ( b1 ) (first I-1 rows)
217* ( V2 ) ( b2 )
218*
219* where V1 is unit lower triangular
220*
221* w := V1**T * b1
222*
223 CALL scopy( i-1, a( k+1, i ), 1, t( 1, nb ), 1 )
224 CALL strmv( 'Lower', 'Transpose', 'Unit', i-1, a( k+1, 1 ),
225 $ lda, t( 1, nb ), 1 )
226*
227* w := w + V2**T *b2
228*
229 CALL sgemv( 'Transpose', n-k-i+1, i-1, one, a( k+i, 1 ),
230 $ lda, a( k+i, i ), 1, one, t( 1, nb ), 1 )
231*
232* w := T**T *w
233*
234 CALL strmv( 'Upper', 'Transpose', 'Non-unit', i-1, t, ldt,
235 $ t( 1, nb ), 1 )
236*
237* b2 := b2 - V2*w
238*
239 CALL sgemv( 'No transpose', n-k-i+1, i-1, -one, a( k+i, 1 ),
240 $ lda, t( 1, nb ), 1, one, a( k+i, i ), 1 )
241*
242* b1 := b1 - V1*w
243*
244 CALL strmv( 'Lower', 'No transpose', 'Unit', i-1,
245 $ a( k+1, 1 ), lda, t( 1, nb ), 1 )
246 CALL saxpy( i-1, -one, t( 1, nb ), 1, a( k+1, i ), 1 )
247*
248 a( k+i-1, i-1 ) = ei
249 END IF
250*
251* Generate the elementary reflector H(i) to annihilate
252* A(k+i+1:n,i)
253*
254 CALL slarfg( n-k-i+1, a( k+i, i ), a( min( k+i+1, n ), i ), 1,
255 $ tau( i ) )
256 ei = a( k+i, i )
257 a( k+i, i ) = one
258*
259* Compute Y(1:n,i)
260*
261 CALL sgemv( 'No transpose', n, n-k-i+1, one, a( 1, i+1 ), lda,
262 $ a( k+i, i ), 1, zero, y( 1, i ), 1 )
263 CALL sgemv( 'Transpose', n-k-i+1, i-1, one, a( k+i, 1 ), lda,
264 $ a( k+i, i ), 1, zero, t( 1, i ), 1 )
265 CALL sgemv( 'No transpose', n, i-1, -one, y, ldy, t( 1, i ), 1,
266 $ one, y( 1, i ), 1 )
267 CALL sscal( n, tau( i ), y( 1, i ), 1 )
268*
269* Compute T(1:i,i)
270*
271 CALL sscal( i-1, -tau( i ), t( 1, i ), 1 )
272 CALL strmv( 'Upper', 'No transpose', 'Non-unit', i-1, t, ldt,
273 $ t( 1, i ), 1 )
274 t( i, i ) = tau( i )
275*
276 10 CONTINUE
277 a( k+nb, nb ) = ei
278*
279 RETURN
280*
281* End of SLAHRD
282*
283 END
subroutine saxpy(n, sa, sx, incx, sy, incy)
SAXPY
Definition saxpy.f:89
subroutine scopy(n, sx, incx, sy, incy)
SCOPY
Definition scopy.f:82
subroutine sgemv(trans, m, n, alpha, a, lda, x, incx, beta, y, incy)
SGEMV
Definition sgemv.f:158
subroutine slarfg(n, alpha, x, incx, tau)
SLARFG generates an elementary reflector (Householder matrix).
Definition slarfg.f:106
subroutine sscal(n, sa, sx, incx)
SSCAL
Definition sscal.f:79
subroutine strmv(uplo, trans, diag, n, a, lda, x, incx)
STRMV
Definition strmv.f:147
subroutine slahrd(n, k, nb, a, lda, tau, t, ldt, y, ldy)
SLAHRD reduces the first nb columns of a general rectangular matrix A so that elements below the k-th...
Definition slahrd.f:167