LAPACK 3.12.0 LAPACK: Linear Algebra PACKage
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dlatrs3.f
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1*> \brief \b DLATRS3 solves a triangular system of equations with the scale factors set to prevent overflow.
2*
3* Definition:
4* ===========
5*
6* SUBROUTINE DLATRS3( UPLO, TRANS, DIAG, NORMIN, N, NRHS, A, LDA,
7* X, LDX, SCALE, CNORM, WORK, LWORK, INFO )
8*
9* .. Scalar Arguments ..
10* CHARACTER DIAG, NORMIN, TRANS, UPLO
11* INTEGER INFO, LDA, LWORK, LDX, N, NRHS
12* ..
13* .. Array Arguments ..
14* DOUBLE PRECISION A( LDA, * ), CNORM( * ), SCALE( * ),
15* WORK( * ), X( LDX, * )
16* ..
17*
18*
19*> \par Purpose:
20* =============
21*>
22*> \verbatim
23*>
24*> DLATRS3 solves one of the triangular systems
25*>
26*> A * X = B * diag(scale) or A**T * X = B * diag(scale)
27*>
28*> with scaling to prevent overflow. Here A is an upper or lower
29*> triangular matrix, A**T denotes the transpose of A. X and B are
30*> n by nrhs matrices and scale is an nrhs element vector of scaling
31*> factors. A scaling factor scale(j) is usually less than or equal
32*> to 1, chosen such that X(:,j) is less than the overflow threshold.
33*> If the matrix A is singular (A(j,j) = 0 for some j), then
34*> a non-trivial solution to A*X = 0 is returned. If the system is
35*> so badly scaled that the solution cannot be represented as
36*> (1/scale(k))*X(:,k), then x(:,k) = 0 and scale(k) is returned.
37*>
38*> This is a BLAS-3 version of LATRS for solving several right
39*> hand sides simultaneously.
40*>
41*> \endverbatim
42*
43* Arguments:
44* ==========
45*
46*> \param[in] UPLO
47*> \verbatim
48*> UPLO is CHARACTER*1
49*> Specifies whether the matrix A is upper or lower triangular.
50*> = 'U': Upper triangular
51*> = 'L': Lower triangular
52*> \endverbatim
53*>
54*> \param[in] TRANS
55*> \verbatim
56*> TRANS is CHARACTER*1
57*> Specifies the operation applied to A.
58*> = 'N': Solve A * x = s*b (No transpose)
59*> = 'T': Solve A**T* x = s*b (Transpose)
60*> = 'C': Solve A**T* x = s*b (Conjugate transpose = Transpose)
61*> \endverbatim
62*>
63*> \param[in] DIAG
64*> \verbatim
65*> DIAG is CHARACTER*1
66*> Specifies whether or not the matrix A is unit triangular.
67*> = 'N': Non-unit triangular
68*> = 'U': Unit triangular
69*> \endverbatim
70*>
71*> \param[in] NORMIN
72*> \verbatim
73*> NORMIN is CHARACTER*1
74*> Specifies whether CNORM has been set or not.
75*> = 'Y': CNORM contains the column norms on entry
76*> = 'N': CNORM is not set on entry. On exit, the norms will
77*> be computed and stored in CNORM.
78*> \endverbatim
79*>
80*> \param[in] N
81*> \verbatim
82*> N is INTEGER
83*> The order of the matrix A. N >= 0.
84*> \endverbatim
85*>
86*> \param[in] NRHS
87*> \verbatim
88*> NRHS is INTEGER
89*> The number of columns of X. NRHS >= 0.
90*> \endverbatim
91*>
92*> \param[in] A
93*> \verbatim
94*> A is DOUBLE PRECISION array, dimension (LDA,N)
95*> The triangular matrix A. If UPLO = 'U', the leading n by n
96*> upper triangular part of the array A contains the upper
97*> triangular matrix, and the strictly lower triangular part of
98*> A is not referenced. If UPLO = 'L', the leading n by n lower
99*> triangular part of the array A contains the lower triangular
100*> matrix, and the strictly upper triangular part of A is not
101*> referenced. If DIAG = 'U', the diagonal elements of A are
102*> also not referenced and are assumed to be 1.
103*> \endverbatim
104*>
105*> \param[in] LDA
106*> \verbatim
107*> LDA is INTEGER
108*> The leading dimension of the array A. LDA >= max (1,N).
109*> \endverbatim
110*>
111*> \param[in,out] X
112*> \verbatim
113*> X is DOUBLE PRECISION array, dimension (LDX,NRHS)
114*> On entry, the right hand side B of the triangular system.
115*> On exit, X is overwritten by the solution matrix X.
116*> \endverbatim
117*>
118*> \param[in] LDX
119*> \verbatim
120*> LDX is INTEGER
121*> The leading dimension of the array X. LDX >= max (1,N).
122*> \endverbatim
123*>
124*> \param[out] SCALE
125*> \verbatim
126*> SCALE is DOUBLE PRECISION array, dimension (NRHS)
127*> The scaling factor s(k) is for the triangular system
128*> A * x(:,k) = s(k)*b(:,k) or A**T* x(:,k) = s(k)*b(:,k).
129*> If SCALE = 0, the matrix A is singular or badly scaled.
130*> If A(j,j) = 0 is encountered, a non-trivial vector x(:,k)
131*> that is an exact or approximate solution to A*x(:,k) = 0
132*> is returned. If the system so badly scaled that solution
133*> cannot be presented as x(:,k) * 1/s(k), then x(:,k) = 0
134*> is returned.
135*> \endverbatim
136*>
137*> \param[in,out] CNORM
138*> \verbatim
139*> CNORM is DOUBLE PRECISION array, dimension (N)
140*>
141*> If NORMIN = 'Y', CNORM is an input argument and CNORM(j)
142*> contains the norm of the off-diagonal part of the j-th column
143*> of A. If TRANS = 'N', CNORM(j) must be greater than or equal
144*> to the infinity-norm, and if TRANS = 'T' or 'C', CNORM(j)
145*> must be greater than or equal to the 1-norm.
146*>
147*> If NORMIN = 'N', CNORM is an output argument and CNORM(j)
148*> returns the 1-norm of the offdiagonal part of the j-th column
149*> of A.
150*> \endverbatim
151*>
152*> \param[out] WORK
153*> \verbatim
154*> WORK is DOUBLE PRECISION array, dimension (LWORK).
155*> On exit, if INFO = 0, WORK(1) returns the optimal size of
156*> WORK.
157*> \endverbatim
158*>
159*> \param[in] LWORK
160*> LWORK is INTEGER
161*> LWORK >= MAX(1, 2*NBA * MAX(NBA, MIN(NRHS, 32)), where
162*> NBA = (N + NB - 1)/NB and NB is the optimal block size.
163*>
164*> If LWORK = -1, then a workspace query is assumed; the routine
165*> only calculates the optimal dimensions of the WORK array, returns
166*> this value as the first entry of the WORK array, and no error
167*> message related to LWORK is issued by XERBLA.
168*>
169*> \param[out] INFO
170*> \verbatim
171*> INFO is INTEGER
172*> = 0: successful exit
173*> < 0: if INFO = -k, the k-th argument had an illegal value
174*> \endverbatim
175*
176* Authors:
177* ========
178*
179*> \author Univ. of Tennessee
180*> \author Univ. of California Berkeley
181*> \author Univ. of Colorado Denver
182*> \author NAG Ltd.
183*
184*> \ingroup latrs3
185*> \par Further Details:
186* =====================
187* \verbatim
188* The algorithm follows the structure of a block triangular solve.
189* The diagonal block is solved with a call to the robust the triangular
190* solver LATRS for every right-hand side RHS = 1, ..., NRHS
191* op(A( J, J )) * x( J, RHS ) = SCALOC * b( J, RHS ),
192* where op( A ) = A or op( A ) = A**T.
193* The linear block updates operate on block columns of X,
194* B( I, K ) - op(A( I, J )) * X( J, K )
195* and use GEMM. To avoid overflow in the linear block update, the worst case
196* growth is estimated. For every RHS, a scale factor s <= 1.0 is computed
197* such that
198* || s * B( I, RHS )||_oo
199* + || op(A( I, J )) ||_oo * || s * X( J, RHS ) ||_oo <= Overflow threshold
200*
201* Once all columns of a block column have been rescaled (BLAS-1), the linear
202* update is executed with GEMM without overflow.
203*
204* To limit rescaling, local scale factors track the scaling of column segments.
205* There is one local scale factor s( I, RHS ) per block row I = 1, ..., NBA
206* per right-hand side column RHS = 1, ..., NRHS. The global scale factor
207* SCALE( RHS ) is chosen as the smallest local scale factor s( I, RHS )
208* I = 1, ..., NBA.
209* A triangular solve op(A( J, J )) * x( J, RHS ) = SCALOC * b( J, RHS )
210* updates the local scale factor s( J, RHS ) := s( J, RHS ) * SCALOC. The
211* linear update of potentially inconsistently scaled vector segments
212* s( I, RHS ) * b( I, RHS ) - op(A( I, J )) * ( s( J, RHS )* x( J, RHS ) )
213* computes a consistent scaling SCAMIN = MIN( s(I, RHS ), s(J, RHS) ) and,
214* if necessary, rescales the blocks prior to calling GEMM.
215*
216* \endverbatim
217* =====================================================================
218* References:
219* C. C. Kjelgaard Mikkelsen, A. B. Schwarz and L. Karlsson (2019).
220* Parallel robust solution of triangular linear systems. Concurrency
221* and Computation: Practice and Experience, 31(19), e5064.
222*
223* Contributor:
224* Angelika Schwarz, Umea University, Sweden.
225*
226* =====================================================================
227 SUBROUTINE dlatrs3( UPLO, TRANS, DIAG, NORMIN, N, NRHS, A, LDA,
228 \$ X, LDX, SCALE, CNORM, WORK, LWORK, INFO )
229 IMPLICIT NONE
230*
231* .. Scalar Arguments ..
232 CHARACTER DIAG, TRANS, NORMIN, UPLO
233 INTEGER INFO, LDA, LWORK, LDX, N, NRHS
234* ..
235* .. Array Arguments ..
236 DOUBLE PRECISION A( LDA, * ), CNORM( * ), X( LDX, * ),
237 \$ scale( * ), work( * )
238* ..
239*
240* =====================================================================
241*
242* .. Parameters ..
243 DOUBLE PRECISION ZERO, ONE
244 parameter( zero = 0.0d+0, one = 1.0d+0 )
245 INTEGER NBMAX, NBMIN, NBRHS, NRHSMIN
246 parameter( nrhsmin = 2, nbrhs = 32 )
247 parameter( nbmin = 8, nbmax = 64 )
248* ..
249* .. Local Arrays ..
250 DOUBLE PRECISION W( NBMAX ), XNRM( NBRHS )
251* ..
252* .. Local Scalars ..
253 LOGICAL LQUERY, NOTRAN, NOUNIT, UPPER
254 INTEGER AWRK, I, IFIRST, IINC, ILAST, II, I1, I2, J,
255 \$ jfirst, jinc, jlast, j1, j2, k, kk, k1, k2,
256 \$ lanrm, lds, lscale, nb, nba, nbx, rhs
257 DOUBLE PRECISION ANRM, BIGNUM, BNRM, RSCAL, SCAL, SCALOC,
258 \$ scamin, smlnum, tmax
259* ..
260* .. External Functions ..
261 LOGICAL LSAME
262 INTEGER ILAENV
263 DOUBLE PRECISION DLAMCH, DLANGE, DLARMM
264 EXTERNAL dlamch, dlange, dlarmm, ilaenv, lsame
265* ..
266* .. External Subroutines ..
267 EXTERNAL dlatrs, dscal, xerbla
268* ..
269* .. Intrinsic Functions ..
270 INTRINSIC abs, max, min
271* ..
272* .. Executable Statements ..
273*
274 info = 0
275 upper = lsame( uplo, 'U' )
276 notran = lsame( trans, 'N' )
277 nounit = lsame( diag, 'N' )
278 lquery = ( lwork.EQ.-1 )
279*
280* Partition A and X into blocks
281*
282 nb = max( 8, ilaenv( 1, 'DLATRS', '', n, n, -1, -1 ) )
283 nb = min( nbmax, nb )
284 nba = max( 1, (n + nb - 1) / nb )
285 nbx = max( 1, (nrhs + nbrhs - 1) / nbrhs )
286*
287* Compute the workspace
288*
289* The workspace comprises two parts.
290* The first part stores the local scale factors. Each simultaneously
291* computed right-hand side requires one local scale factor per block
292* row. WORK( I+KK*LDS ) is the scale factor of the vector
293* segment associated with the I-th block row and the KK-th vector
294* in the block column.
295 lscale = nba * max( nba, min( nrhs, nbrhs ) )
296 lds = nba
297* The second part stores upper bounds of the triangular A. There are
298* a total of NBA x NBA blocks, of which only the upper triangular
299* part or the lower triangular part is referenced. The upper bound of
300* the block A( I, J ) is stored as WORK( AWRK + I + J * NBA ).
301 lanrm = nba * nba
302 awrk = lscale
303 work( 1 ) = lscale + lanrm
304*
305* Test the input parameters
306*
307 IF( .NOT.upper .AND. .NOT.lsame( uplo, 'L' ) ) THEN
308 info = -1
309 ELSE IF( .NOT.notran .AND. .NOT.lsame( trans, 'T' ) .AND. .NOT.
310 \$ lsame( trans, 'C' ) ) THEN
311 info = -2
312 ELSE IF( .NOT.nounit .AND. .NOT.lsame( diag, 'U' ) ) THEN
313 info = -3
314 ELSE IF( .NOT.lsame( normin, 'Y' ) .AND. .NOT.
315 \$ lsame( normin, 'N' ) ) THEN
316 info = -4
317 ELSE IF( n.LT.0 ) THEN
318 info = -5
319 ELSE IF( nrhs.LT.0 ) THEN
320 info = -6
321 ELSE IF( lda.LT.max( 1, n ) ) THEN
322 info = -8
323 ELSE IF( ldx.LT.max( 1, n ) ) THEN
324 info = -10
325 ELSE IF( .NOT.lquery .AND. lwork.LT.work( 1 ) ) THEN
326 info = -14
327 END IF
328 IF( info.NE.0 ) THEN
329 CALL xerbla( 'DLATRS3', -info )
330 RETURN
331 ELSE IF( lquery ) THEN
332 RETURN
333 END IF
334*
335* Initialize scaling factors
336*
337 DO kk = 1, nrhs
338 scale( kk ) = one
339 END DO
340*
341* Quick return if possible
342*
343 IF( min( n, nrhs ).EQ.0 )
344 \$ RETURN
345*
346* Determine machine dependent constant to control overflow.
347*
348 bignum = dlamch( 'Overflow' )
349 smlnum = dlamch( 'Safe Minimum' )
350*
351* Use unblocked code for small problems
352*
353 IF( nrhs.LT.nrhsmin ) THEN
354 CALL dlatrs( uplo, trans, diag, normin, n, a, lda, x( 1, 1),
355 \$ scale( 1 ), cnorm, info )
356 DO k = 2, nrhs
357 CALL dlatrs( uplo, trans, diag, 'Y', n, a, lda, x( 1, k ),
358 \$ scale( k ), cnorm, info )
359 END DO
360 RETURN
361 END IF
362*
363* Compute norms of blocks of A excluding diagonal blocks and find
364* the block with the largest norm TMAX.
365*
366 tmax = zero
367 DO j = 1, nba
368 j1 = (j-1)*nb + 1
369 j2 = min( j*nb, n ) + 1
370 IF ( upper ) THEN
371 ifirst = 1
372 ilast = j - 1
373 ELSE
374 ifirst = j + 1
375 ilast = nba
376 END IF
377 DO i = ifirst, ilast
378 i1 = (i-1)*nb + 1
379 i2 = min( i*nb, n ) + 1
380*
381* Compute upper bound of A( I1:I2-1, J1:J2-1 ).
382*
383 IF( notran ) THEN
384 anrm = dlange( 'I', i2-i1, j2-j1, a( i1, j1 ), lda, w )
385 work( awrk + i+(j-1)*nba ) = anrm
386 ELSE
387 anrm = dlange( '1', i2-i1, j2-j1, a( i1, j1 ), lda, w )
388 work( awrk + j+(i-1)*nba ) = anrm
389 END IF
390 tmax = max( tmax, anrm )
391 END DO
392 END DO
393*
394 IF( .NOT. tmax.LE.dlamch('Overflow') ) THEN
395*
396* Some matrix entries have huge absolute value. At least one upper
397* bound norm( A(I1:I2-1, J1:J2-1), 'I') is not a valid floating-point
398* number, either due to overflow in LANGE or due to Inf in A.
399* Fall back to LATRS. Set normin = 'N' for every right-hand side to
400* force computation of TSCAL in LATRS to avoid the likely overflow
401* in the computation of the column norms CNORM.
402*
403 DO k = 1, nrhs
404 CALL dlatrs( uplo, trans, diag, 'N', n, a, lda, x( 1, k ),
405 \$ scale( k ), cnorm, info )
406 END DO
407 RETURN
408 END IF
409*
410* Every right-hand side requires workspace to store NBA local scale
411* factors. To save workspace, X is computed successively in block columns
412* of width NBRHS, requiring a total of NBA x NBRHS space. If sufficient
413* workspace is available, larger values of NBRHS or NBRHS = NRHS are viable.
414 DO k = 1, nbx
415* Loop over block columns (index = K) of X and, for column-wise scalings,
416* over individual columns (index = KK).
417* K1: column index of the first column in X( J, K )
418* K2: column index of the first column in X( J, K+1 )
419* so the K2 - K1 is the column count of the block X( J, K )
420 k1 = (k-1)*nbrhs + 1
421 k2 = min( k*nbrhs, nrhs ) + 1
422*
423* Initialize local scaling factors of current block column X( J, K )
424*
425 DO kk = 1, k2-k1
426 DO i = 1, nba
427 work( i+kk*lds ) = one
428 END DO
429 END DO
430*
431 IF( notran ) THEN
432*
433* Solve A * X(:, K1:K2-1) = B * diag(scale(K1:K2-1))
434*
435 IF( upper ) THEN
436 jfirst = nba
437 jlast = 1
438 jinc = -1
439 ELSE
440 jfirst = 1
441 jlast = nba
442 jinc = 1
443 END IF
444 ELSE
445*
446* Solve A**T * X(:, K1:K2-1) = B * diag(scale(K1:K2-1))
447*
448 IF( upper ) THEN
449 jfirst = 1
450 jlast = nba
451 jinc = 1
452 ELSE
453 jfirst = nba
454 jlast = 1
455 jinc = -1
456 END IF
457 END IF
458*
459 DO j = jfirst, jlast, jinc
460* J1: row index of the first row in A( J, J )
461* J2: row index of the first row in A( J+1, J+1 )
462* so that J2 - J1 is the row count of the block A( J, J )
463 j1 = (j-1)*nb + 1
464 j2 = min( j*nb, n ) + 1
465*
466* Solve op(A( J, J )) * X( J, RHS ) = SCALOC * B( J, RHS )
467* for all right-hand sides in the current block column,
468* one RHS at a time.
469*
470 DO kk = 1, k2-k1
471 rhs = k1 + kk - 1
472 IF( kk.EQ.1 ) THEN
473 CALL dlatrs( uplo, trans, diag, 'N', j2-j1,
474 \$ a( j1, j1 ), lda, x( j1, rhs ),
475 \$ scaloc, cnorm, info )
476 ELSE
477 CALL dlatrs( uplo, trans, diag, 'Y', j2-j1,
478 \$ a( j1, j1 ), lda, x( j1, rhs ),
479 \$ scaloc, cnorm, info )
480 END IF
481* Find largest absolute value entry in the vector segment
482* X( J1:J2-1, RHS ) as an upper bound for the worst case
483* growth in the linear updates.
484 xnrm( kk ) = dlange( 'I', j2-j1, 1, x( j1, rhs ),
485 \$ ldx, w )
486*
487 IF( scaloc .EQ. zero ) THEN
488* LATRS found that A is singular through A(j,j) = 0.
489* Reset the computation x(1:n) = 0, x(j) = 1, SCALE = 0
490* and compute A*x = 0 (or A**T*x = 0). Note that
491* X(J1:J2-1, KK) is set by LATRS.
492 scale( rhs ) = zero
493 DO ii = 1, j1-1
494 x( ii, kk ) = zero
495 END DO
496 DO ii = j2, n
497 x( ii, kk ) = zero
498 END DO
499* Discard the local scale factors.
500 DO ii = 1, nba
501 work( ii+kk*lds ) = one
502 END DO
503 scaloc = one
504 ELSE IF( scaloc * work( j+kk*lds ) .EQ. zero ) THEN
505* LATRS computed a valid scale factor, but combined with
506* the current scaling the solution does not have a
507* scale factor > 0.
508*
509* Set WORK( J+KK*LDS ) to smallest valid scale
510* factor and increase SCALOC accordingly.
511 scal = work( j+kk*lds ) / smlnum
512 scaloc = scaloc * scal
513 work( j+kk*lds ) = smlnum
514* If LATRS overestimated the growth, x may be
515* rescaled to preserve a valid combined scale
516* factor WORK( J, KK ) > 0.
517 rscal = one / scaloc
518 IF( xnrm( kk ) * rscal .LE. bignum ) THEN
519 xnrm( kk ) = xnrm( kk ) * rscal
520 CALL dscal( j2-j1, rscal, x( j1, rhs ), 1 )
521 scaloc = one
522 ELSE
523* The system op(A) * x = b is badly scaled and its
524* solution cannot be represented as (1/scale) * x.
525* Set x to zero. This approach deviates from LATRS
526* where a completely meaningless non-zero vector
527* is returned that is not a solution to op(A) * x = b.
528 scale( rhs ) = zero
529 DO ii = 1, n
530 x( ii, kk ) = zero
531 END DO
532* Discard the local scale factors.
533 DO ii = 1, nba
534 work( ii+kk*lds ) = one
535 END DO
536 scaloc = one
537 END IF
538 END IF
539 scaloc = scaloc * work( j+kk*lds )
540 work( j+kk*lds ) = scaloc
541 END DO
542*
544*
545 IF( notran ) THEN
546 IF( upper ) THEN
547 ifirst = j - 1
548 ilast = 1
549 iinc = -1
550 ELSE
551 ifirst = j + 1
552 ilast = nba
553 iinc = 1
554 END IF
555 ELSE
556 IF( upper ) THEN
557 ifirst = j + 1
558 ilast = nba
559 iinc = 1
560 ELSE
561 ifirst = j - 1
562 ilast = 1
563 iinc = -1
564 END IF
565 END IF
566*
567 DO i = ifirst, ilast, iinc
568* I1: row index of the first column in X( I, K )
569* I2: row index of the first column in X( I+1, K )
570* so the I2 - I1 is the row count of the block X( I, K )
571 i1 = (i-1)*nb + 1
572 i2 = min( i*nb, n ) + 1
573*
574* Prepare the linear update to be executed with GEMM.
575* For each column, compute a consistent scaling, a
576* scaling factor to survive the linear update, and
577* rescale the column segments, if necessary. Then
578* the linear update is safely executed.
579*
580 DO kk = 1, k2-k1
581 rhs = k1 + kk - 1
582* Compute consistent scaling
583 scamin = min( work( i + kk*lds), work( j + kk*lds ) )
584*
585* Compute scaling factor to survive the linear update
586* simulating consistent scaling.
587*
588 bnrm = dlange( 'I', i2-i1, 1, x( i1, rhs ), ldx, w )
589 bnrm = bnrm*( scamin / work( i+kk*lds ) )
590 xnrm( kk ) = xnrm( kk )*(scamin / work( j+kk*lds ))
591 anrm = work( awrk + i+(j-1)*nba )
592 scaloc = dlarmm( anrm, xnrm( kk ), bnrm )
593*
594* Simultaneously apply the robust update factor and the
595* consistency scaling factor to B( I, KK ) and B( J, KK ).
596*
597 scal = ( scamin / work( i+kk*lds) )*scaloc
598 IF( scal.NE.one ) THEN
599 CALL dscal( i2-i1, scal, x( i1, rhs ), 1 )
600 work( i+kk*lds ) = scamin*scaloc
601 END IF
602*
603 scal = ( scamin / work( j+kk*lds ) )*scaloc
604 IF( scal.NE.one ) THEN
605 CALL dscal( j2-j1, scal, x( j1, rhs ), 1 )
606 work( j+kk*lds ) = scamin*scaloc
607 END IF
608 END DO
609*
610 IF( notran ) THEN
611*
612* B( I, K ) := B( I, K ) - A( I, J ) * X( J, K )
613*
614 CALL dgemm( 'N', 'N', i2-i1, k2-k1, j2-j1, -one,
615 \$ a( i1, j1 ), lda, x( j1, k1 ), ldx,
616 \$ one, x( i1, k1 ), ldx )
617 ELSE
618*
619* B( I, K ) := B( I, K ) - A( J, I )**T * X( J, K )
620*
621 CALL dgemm( 'T', 'N', i2-i1, k2-k1, j2-j1, -one,
622 \$ a( j1, i1 ), lda, x( j1, k1 ), ldx,
623 \$ one, x( i1, k1 ), ldx )
624 END IF
625 END DO
626 END DO
627*
628* Reduce local scaling factors
629*
630 DO kk = 1, k2-k1
631 rhs = k1 + kk - 1
632 DO i = 1, nba
633 scale( rhs ) = min( scale( rhs ), work( i+kk*lds ) )
634 END DO
635 END DO
636*
637* Realize consistent scaling
638*
639 DO kk = 1, k2-k1
640 rhs = k1 + kk - 1
641 IF( scale( rhs ).NE.one .AND. scale( rhs ).NE. zero ) THEN
642 DO i = 1, nba
643 i1 = (i-1)*nb + 1
644 i2 = min( i*nb, n ) + 1
645 scal = scale( rhs ) / work( i+kk*lds )
646 IF( scal.NE.one )
647 \$ CALL dscal( i2-i1, scal, x( i1, rhs ), 1 )
648 END DO
649 END IF
650 END DO
651 END DO
652 RETURN
653*
654* End of DLATRS3
655*
656 END
subroutine xerbla(srname, info)
Definition cblat2.f:3285
subroutine dgemm(transa, transb, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc)
DGEMM
Definition dgemm.f:188
subroutine dlatrs3(uplo, trans, diag, normin, n, nrhs, a, lda, x, ldx, scale, cnorm, work, lwork, info)
DLATRS3 solves a triangular system of equations with the scale factors set to prevent overflow.
Definition dlatrs3.f:229
subroutine dlatrs(uplo, trans, diag, normin, n, a, lda, x, scale, cnorm, info)
DLATRS solves a triangular system of equations with the scale factor set to prevent overflow.
Definition dlatrs.f:238
subroutine dscal(n, da, dx, incx)
DSCAL
Definition dscal.f:79