144 REAL FUNCTION sla_syrcond( UPLO, N, A, LDA, AF, LDAF, IPIV, CMODE,
145 $ C, INFO, WORK, IWORK )
153 INTEGER N, LDA, LDAF, INFO, CMODE
156 INTEGER IWORK( * ), IPIV( * )
157 REAL A( lda, * ), AF( ldaf, * ), WORK( * ), C( * )
165 REAL AINVNM, SMLNUM, TMP
174 EXTERNAL lsame, slamch
189 ELSE IF( lda.LT.max( 1, n ) )
THEN 191 ELSE IF( ldaf.LT.max( 1, n ) )
THEN 195 CALL xerbla(
'SLA_SYRCOND', -info )
203 IF ( lsame( uplo,
'U' ) ) up = .true.
211 IF ( cmode .EQ. 1 )
THEN 213 tmp = tmp + abs( a( j, i ) * c( j ) )
216 tmp = tmp + abs( a( i, j ) * c( j ) )
218 ELSE IF ( cmode .EQ. 0 )
THEN 220 tmp = tmp + abs( a( j, i ) )
223 tmp = tmp + abs( a( i, j ) )
227 tmp = tmp + abs( a( j, i ) / c( j ) )
230 tmp = tmp + abs( a( i, j ) / c( j ) )
238 IF ( cmode .EQ. 1 )
THEN 240 tmp = tmp + abs( a( i, j ) * c( j ) )
243 tmp = tmp + abs( a( j, i ) * c( j ) )
245 ELSE IF ( cmode .EQ. 0 )
THEN 247 tmp = tmp + abs( a( i, j ) )
250 tmp = tmp + abs( a( j, i ) )
254 tmp = tmp + abs( a( i, j) / c( j ) )
257 tmp = tmp + abs( a( j, i) / c( j ) )
266 smlnum = slamch(
'Safe minimum' )
272 CALL slacn2( n, work( n+1 ), work, iwork, ainvnm, kase, isave )
279 work( i ) = work( i ) * work( 2*n+i )
283 CALL ssytrs(
'U', n, 1, af, ldaf, ipiv, work, n, info )
285 CALL ssytrs(
'L', n, 1, af, ldaf, ipiv, work, n, info )
290 IF ( cmode .EQ. 1 )
THEN 292 work( i ) = work( i ) / c( i )
294 ELSE IF ( cmode .EQ. -1 )
THEN 296 work( i ) = work( i ) * c( i )
303 IF ( cmode .EQ. 1 )
THEN 305 work( i ) = work( i ) / c( i )
307 ELSE IF ( cmode .EQ. -1 )
THEN 309 work( i ) = work( i ) * c( i )
314 CALL ssytrs(
'U', n, 1, af, ldaf, ipiv, work, n, info )
316 CALL ssytrs(
'L', n, 1, af, ldaf, ipiv, work, n, info )
322 work( i ) = work( i ) * work( 2*n+i )
331 IF( ainvnm .NE. 0.0 )
subroutine xerbla(SRNAME, INFO)
XERBLA
real function sla_syrcond(UPLO, N, A, LDA, AF, LDAF, IPIV, CMODE, C, INFO, WORK, IWORK)
SLA_SYRCOND estimates the Skeel condition number for a symmetric indefinite matrix.
subroutine ssytrs(UPLO, N, NRHS, A, LDA, IPIV, B, LDB, INFO)
SSYTRS
subroutine slacn2(N, V, X, ISGN, EST, KASE, ISAVE)
SLACN2 estimates the 1-norm of a square matrix, using reverse communication for evaluating matrix-vec...