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Updated: June 2017
 
 

dla_syrfsx_extended (3p)

Name

dla_syrfsx_extended - ear equations for symmetric indefinite matrices by performing extra- precise iterative refinement and provide error bounds and backward error estimates for the solution

Synopsis

SUBROUTINE DLA_SYRFSX_EXTENDED( PREC_TYPE, UPLO, N, NRHS, A,  LDA,  AF,
LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


INTEGER INFO, LDA, LDAF, LDB, LDY, N, NRHS, PREC_TYPE, N_NORMS, ITHRESH

CHARACTER*1 UPLO

LOGICAL COLEQU, IGNORE_CWISE

DOUBLE PRECISION RTHRESH, DZ_UB

INTEGER IPIV(*)

DOUBLE   PRECISION   A(LDA,*),    AF(LDAF,*),    B(LDB,*),    Y(LDY,*),
RES(*),DY(*), Y_TAIL(*)

DOUBLE      PRECISION     C(*)     ,AYB(*),     RCOND,     BERR_OUT(*),
ERR_BNDS_NORM(NRHS,*), ERR_BNDS_COMP(NRHS,*)


SUBROUTINE DLA_SYRFSX_EXTENDED_64( PREC_TYPE, UPLO, N,  NRHS,  A,  LDA,
AF, LDAF, IPIV, COLEQU, C, B, LDB, Y, LDY, BERR_OUT, N_NORMS,
ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


INTEGER*8  INFO,  LDA,  LDAF,  LDB,  LDY,  N, NRHS, PREC_TYPE, N_NORMS,
ITHRESH

CHARACTER*1 UPLO

LOGICAL*8 COLEQU, IGNORE_CWISE

DOUBLE PRECISION RTHRESH, DZ_UB

INTEGER*8 IPIV(*)

DOUBLE   PRECISION   A(LDA,*),    AF(LDAF,*),    B(LDB,*),    Y(LDY,*),
RES(*),DY(*), Y_TAIL(*)

DOUBLE      PRECISION     C(*)     ,AYB(*),     RCOND,     BERR_OUT(*),
ERR_BNDS_NORM(NRHS,*), ERR_BNDS_COMP(NRHS,*)


F95 INTERFACE
SUBROUTINE LA_SYRFSX_EXTENDED( PREC_TYPE, UPLO, N, NRHS,  A,  LDA,  AF,
LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


CHARACTER(LEN=1) :: UPLO

INTEGER  ::  PREC_TYPE, N, NRHS, LDA, LDAF, LDB, LDY, N_NORMS, ITHRESH,
INFO

LOGICAL :: COLEQU, IGNORE_CWISE

INTEGER, DIMENSION(:) :: IPIV

REAL(8), DIMENSION(:,:) :: A, AF, B, Y, ERR_BNDS_NORM, ERR_BNDS_COMP

REAL(8), DIMENSION(:) :: C, BERR_OUT, RES, AYB, DY, Y_TAIL

REAL(8) :: RCOND, RTHRESH, DZ_UB


SUBROUTINE LA_SYRFSX_EXTENDED_64( PREC_TYPE, UPLO, N, NRHS, A, LDA, AF,
LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


CHARACTER(LEN=1) :: UPLO

INTEGER(8)  ::  PREC_TYPE,  N,  NRHS,  LDA,  LDAF,  LDB,  LDY, N_NORMS,
ITHRESH, INFO

LOGICAL(8) :: COLEQU, IGNORE_CWISE

INTEGER(8), DIMENSION(:) :: IPIV

REAL(8), DIMENSION(:,:) :: A, AF, B, Y, ERR_BNDS_NORM, ERR_BNDS_COMP

REAL(8), DIMENSION(:) :: C, BERR_OUT, RES, AYB, DY, Y_TAIL

REAL(8) :: RCOND, RTHRESH, DZ_UB


C INTERFACE
#include <sunperf.h>

void dla_syrfsx_extended (int prec_type, char uplo, int  n,  int  nrhs,
double  *a,  int  lda,  double  *af, int ldaf, int *ipiv, int
colequ, double *c, double *b, int ldb, double  *y,  int  ldy,
double  *berr_out, int n_norms, double *err_bnds_norm, double
*err_bnds_comp, double rcond, int  ithresh,  double  rthresh,
double dz_ub, int ignore_cwise, int *info);


void  dla_syrfsx_extended_64  (long  prec_type, char uplo, long n, long
nrhs, double *a, long lda, double *af, long ldaf, long *ipiv,
long  colequ, double *c, double *b, long ldb, double *y, long
ldy, double *berr_out, long n_norms,  double  *err_bnds_norm,
double  *err_bnds_comp,  double  rcond,  long ithresh, double
rthresh, double dz_ub, long ignore_cwise, long *info);

Description

Oracle Solaris Studio Performance Library              dla_syrfsx_extended(3P)



NAME
       dla_syrfsx_extended - improve the computed solution to a system of lin-
       ear equations for symmetric indefinite matrices  by  performing  extra-
       precise  iterative  refinement  and  provide  error bounds and backward
       error estimates for the solution


SYNOPSIS
       SUBROUTINE DLA_SYRFSX_EXTENDED( PREC_TYPE, UPLO, N, NRHS, A,  LDA,  AF,
                 LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
                 ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
                 ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


       INTEGER INFO, LDA, LDAF, LDB, LDY, N, NRHS, PREC_TYPE, N_NORMS, ITHRESH

       CHARACTER*1 UPLO

       LOGICAL COLEQU, IGNORE_CWISE

       DOUBLE PRECISION RTHRESH, DZ_UB

       INTEGER IPIV(*)

       DOUBLE   PRECISION   A(LDA,*),    AF(LDAF,*),    B(LDB,*),    Y(LDY,*),
                 RES(*),DY(*), Y_TAIL(*)

       DOUBLE      PRECISION     C(*)     ,AYB(*),     RCOND,     BERR_OUT(*),
                 ERR_BNDS_NORM(NRHS,*), ERR_BNDS_COMP(NRHS,*)


       SUBROUTINE DLA_SYRFSX_EXTENDED_64( PREC_TYPE, UPLO, N,  NRHS,  A,  LDA,
                 AF, LDAF, IPIV, COLEQU, C, B, LDB, Y, LDY, BERR_OUT, N_NORMS,
                 ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
                 ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


       INTEGER*8  INFO,  LDA,  LDAF,  LDB,  LDY,  N, NRHS, PREC_TYPE, N_NORMS,
                 ITHRESH

       CHARACTER*1 UPLO

       LOGICAL*8 COLEQU, IGNORE_CWISE

       DOUBLE PRECISION RTHRESH, DZ_UB

       INTEGER*8 IPIV(*)

       DOUBLE   PRECISION   A(LDA,*),    AF(LDAF,*),    B(LDB,*),    Y(LDY,*),
                 RES(*),DY(*), Y_TAIL(*)

       DOUBLE      PRECISION     C(*)     ,AYB(*),     RCOND,     BERR_OUT(*),
                 ERR_BNDS_NORM(NRHS,*), ERR_BNDS_COMP(NRHS,*)


   F95 INTERFACE
       SUBROUTINE LA_SYRFSX_EXTENDED( PREC_TYPE, UPLO, N, NRHS,  A,  LDA,  AF,
                 LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
                 ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
                 ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


       CHARACTER(LEN=1) :: UPLO

       INTEGER  ::  PREC_TYPE, N, NRHS, LDA, LDAF, LDB, LDY, N_NORMS, ITHRESH,
                 INFO

       LOGICAL :: COLEQU, IGNORE_CWISE

       INTEGER, DIMENSION(:) :: IPIV

       REAL(8), DIMENSION(:,:) :: A, AF, B, Y, ERR_BNDS_NORM, ERR_BNDS_COMP

       REAL(8), DIMENSION(:) :: C, BERR_OUT, RES, AYB, DY, Y_TAIL

       REAL(8) :: RCOND, RTHRESH, DZ_UB


       SUBROUTINE LA_SYRFSX_EXTENDED_64( PREC_TYPE, UPLO, N, NRHS, A, LDA, AF,
                 LDAF,  IPIV,  COLEQU,  C,  B, LDB, Y, LDY, BERR_OUT, N_NORMS,
                 ERR_BNDS_NORM, ERR_BNDS_COMP, RES, AYB,  DY,  Y_TAIL,  RCOND,
                 ITHRESH, RTHRESH, DZ_UB, IGNORE_CWISE, INFO )


       CHARACTER(LEN=1) :: UPLO

       INTEGER(8)  ::  PREC_TYPE,  N,  NRHS,  LDA,  LDAF,  LDB,  LDY, N_NORMS,
                 ITHRESH, INFO

       LOGICAL(8) :: COLEQU, IGNORE_CWISE

       INTEGER(8), DIMENSION(:) :: IPIV

       REAL(8), DIMENSION(:,:) :: A, AF, B, Y, ERR_BNDS_NORM, ERR_BNDS_COMP

       REAL(8), DIMENSION(:) :: C, BERR_OUT, RES, AYB, DY, Y_TAIL

       REAL(8) :: RCOND, RTHRESH, DZ_UB


   C INTERFACE
       #include <sunperf.h>

       void dla_syrfsx_extended (int prec_type, char uplo, int  n,  int  nrhs,
                 double  *a,  int  lda,  double  *af, int ldaf, int *ipiv, int
                 colequ, double *c, double *b, int ldb, double  *y,  int  ldy,
                 double  *berr_out, int n_norms, double *err_bnds_norm, double
                 *err_bnds_comp, double rcond, int  ithresh,  double  rthresh,
                 double dz_ub, int ignore_cwise, int *info);


       void  dla_syrfsx_extended_64  (long  prec_type, char uplo, long n, long
                 nrhs, double *a, long lda, double *af, long ldaf, long *ipiv,
                 long  colequ, double *c, double *b, long ldb, double *y, long
                 ldy, double *berr_out, long n_norms,  double  *err_bnds_norm,
                 double  *err_bnds_comp,  double  rcond,  long ithresh, double
                 rthresh, double dz_ub, long ignore_cwise, long *info);


PURPOSE
       dla_syrfsx_extended improves the computed solution to a system of  lin-
       ear equations by performing extra-precise iterative refinement and pro-
       vides error bounds and backward error estimates for the solution.  This
       subroutine  is  called  by DSYRFSX to perform iterative refinement.  In
       addition to normwise error bound, the code provides maximum  component-
       wise  error  bound  if  possible.  See  comments  for ERR_BNDS_NORM and
       ERR_BNDS_COMP for details of the error bounds. Note that  this  subrou-
       tine  is only resonsible for setting the second fields of ERR_BNDS_NORM
       and ERR_BNDS_COMP.


ARGUMENTS
       PREC_TYPE (input)
                 PREC_TYPE is INTEGER
                 Specifies the intermediate precision to be  used  in  refine-
                 ment.
                 The value is defined by ILAPREC(P) where P is a CHARACTER and
                 P    = 'S':  Single
                 = 'D':  Double
                 = 'I':  Indigenous
                 = 'X', 'E':  Extra


       UPLO (input)
                 UPLO is CHARACTER*1
                 = 'U':  Upper triangle of A is stored;
                 = 'L':  Lower triangle of A is stored.


       N (input)
                 N is INTEGER
                 The number of linear equations, i.e., the order of the matrix
                 A. N >= 0.


       NRHS (input)
                 NRHS is INTEGER
                 The  number  of right-hand-sides, i.e., the number of columns
                 of the matrix B.


       A (input)
                 A is DOUBLE PRECISION array, dimension (LDA,N)
                 On entry, the N-by-N matrix A.


       LDA (input)
                 LDA is INTEGER
                 The leading dimension of the array A.
                 LDA >= max(1,N).


       AF (input)
                 AF is DOUBLE PRECISION array, dimension (LDAF,N)
                 The block diagonal matrix  D  and  the  multipliers  used  to
                 obtain the factor U or L as computed by DSYTRF.


       LDAF (input)
                 LDAF is INTEGER
                 The leading dimension of the array AF.
                 LDAF >= max(1,N).


       IPIV (input)
                 IPIV is INTEGER array, dimension (N)
                 Details  of  the interchanges and the block structure of D as
                 determined by DSYTRF.


       COLEQU (input)
                 COLEQU is LOGICAL
                 If .TRUE. then column equilibration  was  done  to  A  before
                 calling  this routine. This is needed to compute the solution
                 and error bounds correctly.


       C (input)
                 C is DOUBLE PRECISION array, dimension (N)
                 The column scale factors for A. If COLEQU = .FALSE., C is not
                 accessed.  If C is input, each element of C should be a power
                 of the radix to ensure a reliable solution  and  error  esti-
                 mates.   Scaling by powers of the radix does not cause round-
                 ing errors unless the result underflows or overflows.  Round-
                 ing errors during scaling lead to refining with a matrix that
                 is not equivalent to the input matrix, producing error  esti-
                 mates that may not be reliable.


       B (input)
                 B is DOUBLE PRECISION array, dimension (LDB,NRHS)
                 The right-hand-side matrix B.


       LDB (input)
                 LDB is INTEGER
                 The leading dimension of the array B.
                 LDB >= max(1,N).


       Y (input/output)
                 Y is DOUBLE PRECISION array, dimension (LDY,NRHS)
                 On entry, the solution matrix X, as computed by DSYTRS.
                 On exit, the improved solution matrix Y.


       LDY (input)
                 LDY is INTEGER
                 The leading dimension of the array Y.
                 LDY >= max(1,N).


       BERR_OUT (output)
                 BERR_OUT is DOUBLE PRECISION array, dimension (NRHS)
                 On  exit,  BERR_OUT(j)  contains  the  componentwise relative
                 backward error for right-hand-side j from the formula
                 max(i)( abs(RES(i))/( abs(op(A_s))*abs(Y)+abs(B_s))(i))
                 where abs(Z) is  the  componentwise  absolute  value  of  the
                 matrix or vector Z. This is computed by DLA_LIN_BERR.


       N_NORMS (input)
                 N_NORMS is INTEGER
                 Determines  which  error  bounds to return (see ERR_BNDS_NORM
                 and ERR_BNDS_COMP).
                 If N_NORMS >= 1 return normwise error bounds.
                 If N_NORMS >= 2 return componentwise error bounds.


       ERR_BNDS_NORM (input/output)
                 ERR_BNDS_NORM is DOUBLE  PRECISION  array,  dimension  (NRHS,
                 N_NORMS)
                 For  each  right-hand  side,  this array contains information
                 about various error bounds and condition numbers  correspond-
                 ing  to the normwise relative error, which is defined as fol-
                 lows: Normwise relative error in the ith solution vector:

                 max_j (abs(XTRUE(j,i) - X(j,i)))
                 ------------------------------
                       max_j abs(X(j,i))

                 The array is indexed by the  type  of  error  information  as
                 described  below.  There  currently are up to three pieces of
                 information returned.
                 The first index in ERR_BNDS_NORM(i,:) corresponds to the  ith
                 right-hand side.
                 The second index in ERR_BNDS_NORM(:,err) contains the follow-
                 ing three fields:
                 err = 1 "Trust/don't trust" boolean. Trust the answer if  the
                 reciprocal  condition  number  is  less  than  the  threshold
                 sqrt(n) * slamch('Epsilon').
                 err = 2  "Guaranteed"  error  bound:  The  estimated  forward
                 error,  almost  certainly  within  a factor of 10 of the true
                 error so long as the next entry is greater than the threshold
                 sqrt(n)  * slamch('Epsilon'). This error bound should only be
                 trusted if the previous boolean is true.
                 err = 3   Reciprocal  condition  number:  Estimated  normwise
                 reciprocal  condition  number.   Compared  with the threshold
                 sqrt(n) * slamch('Epsilon') to determine if the  error  esti-
                 mate  is "guaranteed". These reciprocal condition numbers are
                 1/(norm(Z^{-1},inf)*norm(Z,inf))   for   some   appropriately
                 scaled matrix Z.
                 Let  Z = S*A, where S scales each row by a power of the radix
                 so all absolute row sums of Z are approximately 1.  This sub-
                 routine  is  only  responsible  for  setting the second field
                 above.
                 See Lapack Working Note 165 for  further  details  and  extra
                 cautions.


       ERR_BNDS_COMP (input/output)
                 ERR_BNDS_COMP  is  DOUBLE  PRECISION  array, dimension (NRHS,
                 N_NORMS)
                 For each right-hand side,  this  array  contains  information
                 about  various error bounds and condition numbers correspond-
                 ing to the componentwise relative error, which is defined  as
                 follows:  Componentwise  relative  error  in the ith solution
                 vector:

                      abs(XTRUE(j,i) - X(j,i))
                 max_j ----------------------
                            abs(X(j,i))
                 The array is indexed by the right-hand side i (on  which  the
                 componentwise  relative error depends), and the type of error
                 information as described below. There  currently  are  up  to
                 three  pieces  of  information  returned  for each right-hand
                 side. If componentwise accuracy is not requested (PARAMS(3) =
                 0.0),  then ERR_BNDS_COMP is not accessed. If N_NORMS .LT. 3,
                 then at most the first (:,N_NORMS) entries are returned.
                 The first index in ERR_BNDS_COMP(i,:) corresponds to the  ith
                 right-hand side.
                 The second index in ERR_BNDS_COMP(:,err) contains the follow-
                 ing three fields:
                 err = 1 "Trust/don't trust" boolean. Trust the answer if  the
                 reciprocal  condition  number  is  less  than  the  threshold
                 sqrt(n) * slamch('Epsilon').
                 err = 2  "Guaranteed"  error  bound:  The  estimated  forward
                 error,  almost  certainly  within  a factor of 10 of the true
                 error so long as the next entry is greater than the threshold
                 sqrt(n)  * slamch('Epsilon'). This error bound should only be
                 trusted if the previous boolean is true.
                 err = 3  Reciprocal condition number: Estimated componentwise
                 reciprocal  condition  number.   Compared  with the threshold
                 sqrt(n) * slamch('Epsilon') to determine if the  error  esti-
                 mate  is "guaranteed". These reciprocal condition numbers are
                 1/(norm(Z^{-1},inf)*norm(Z,inf))   for   some   appropriately
                 scaled matrix Z.
                 Let  Z  = S*(A*diag(x)), where x is the solution for the cur-
                 rent right-hand side and S scales each row of A*diag(x) by  a
                 power of the radix so all absolute row sums of Z are approxi-
                 mately 1.  This subroutine is only  responsible  for  setting
                 the second field above.  See Lapack Working Note 165 for fur-
                 ther details and extra cautions.


       RES (input)
                 RES is DOUBLE PRECISION array, dimension (N)
                 Workspace to hold the intermediate residual.


       AYB (input)
                 AYB is DOUBLE PRECISION array, dimension (N)
                 Workspace. This can be the same workspace passed for  Y_TAIL.


       DY (input)
                 DY is DOUBLE PRECISION array, dimension (N)
                 Workspace to hold the intermediate solution.


       Y_TAIL (input)
                 Y_TAIL is DOUBLE PRECISION array, dimension (N)
                 Workspace to hold the trailing bits of the intermediate solu-
                 tion.


       RCOND (input)
                 RCOND is DOUBLE PRECISION
                 Reciprocal scaled condition number. This is  an  estimate  of
                 the  reciprocal  Skeel condition number of the matrix A after
                 equilibration (if done). If this is  less  than  the  machine
                 precision  (in particular, if it is zero), the matrix is sin-
                 gular to working precision. Note that the error may still  be
                 small  even  if  this  number  is  very  small and the matrix
                 appears ill- conditioned.


       ITHRESH (input)
                 ITHRESH is INTEGER
                 The maximum  number  of  residual  computations  allowed  for
                 refinement. The default is 10. For 'aggressive' set to 100 to
                 permit convergence using approximate factorizations  or  fac-
                 torizations  other than LU. If the factorization uses a tech-
                 nique other than  Gaussian  elimination,  the  guarantees  in
                 ERR_BNDS_NORM and ERR_BNDS_COMP may no longer be trustworthy.


       RTHRESH (input)
                 RTHRESH is DOUBLE PRECISION
                 Determines when to stop  refinement  if  the  error  estimate
                 stops decreasing. Refinement will stop when the next solution
                 no longer satisfies norm(dx_{i+1})  <  RTHRESH  *  norm(dx_i)
                 where  norm(Z) is the infinity norm of Z. RTHRESH satisfies 0
                 < RTHRESH <= 1. The default value is  0.5.  For  'aggressive'
                 set to 0.9 to permit convergence on extremely ill-conditioned
                 matrices. See LAWN 165 for more details.


       DZ_UB (input)
                 DZ_UB is DOUBLE PRECISION
                 Determines when to start  considering  componentwise  conver-
                 gence.   Componentwise  convergence  is only considered after
                 each component of the solution Y is stable, which we  definte
                 as  the  relative  change  in  each component being less than
                 DZ_UB. The default value is 0.25, requiring the first bit  to
                 be stable. See LAWN 165 for more details.


       IGNORE_CWISE (input)
                 IGNORE_CWISE is LOGICAL
                 If  .TRUE.  then  ignore  componentwise  convergence. Default
                 value is .FALSE..


       INFO (output)
                 INFO is INTEGER
                 = 0:  Successful exit.
                 < 0:  if INFO = -i, the ith argument  to  DLA_SYRFSX_EXTENDED
                 had an illegal value.




                                  7 Nov 2015           dla_syrfsx_extended(3P)