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sgtsvx(3P)		    Sun Performance Library		    sgtsvx(3P)

NAME
       sgtsvx  -  use  the  LU factorization to compute the solution to a real
       system of linear equations A * X = B or A**T * X = B,

SYNOPSIS
       SUBROUTINE SGTSVX(FACT, TRANSA, N, NRHS, LOW, D, UP, LOWF, DF,
	     UPF1, UPF2, IPIVOT, B, LDB, X, LDX, RCOND, FERR, BERR, WORK,
	     WORK2, INFO)

       CHARACTER * 1 FACT, TRANSA
       INTEGER N, NRHS, LDB, LDX, INFO
       INTEGER IPIVOT(*), WORK2(*)
       REAL RCOND
       REAL LOW(*), D(*), UP(*), LOWF(*), DF(*), UPF1(*),  UPF2(*),  B(LDB,*),
       X(LDX,*), FERR(*), BERR(*), WORK(*)

       SUBROUTINE SGTSVX_64(FACT, TRANSA, N, NRHS, LOW, D, UP, LOWF,
	     DF, UPF1, UPF2, IPIVOT, B, LDB, X, LDX, RCOND, FERR, BERR,
	     WORK, WORK2, INFO)

       CHARACTER * 1 FACT, TRANSA
       INTEGER*8 N, NRHS, LDB, LDX, INFO
       INTEGER*8 IPIVOT(*), WORK2(*)
       REAL RCOND
       REAL  LOW(*),  D(*), UP(*), LOWF(*), DF(*), UPF1(*), UPF2(*), B(LDB,*),
       X(LDX,*), FERR(*), BERR(*), WORK(*)

   F95 INTERFACE
       SUBROUTINE GTSVX(FACT, [TRANSA], [N], [NRHS], LOW, D, UP, LOWF,
	      DF, UPF1, UPF2, IPIVOT, B, [LDB], X, [LDX], RCOND, FERR, BERR,
	      [WORK], [WORK2], [INFO])

       CHARACTER(LEN=1) :: FACT, TRANSA
       INTEGER :: N, NRHS, LDB, LDX, INFO
       INTEGER, DIMENSION(:) :: IPIVOT, WORK2
       REAL :: RCOND
       REAL, DIMENSION(:) :: LOW, D, UP, LOWF, DF,  UPF1,  UPF2,  FERR,	 BERR,
       WORK
       REAL, DIMENSION(:,:) :: B, X

       SUBROUTINE GTSVX_64(FACT, [TRANSA], [N], [NRHS], LOW, D, UP, LOWF,
	      DF, UPF1, UPF2, IPIVOT, B, [LDB], X, [LDX], RCOND, FERR, BERR,
	      [WORK], [WORK2], [INFO])

       CHARACTER(LEN=1) :: FACT, TRANSA
       INTEGER(8) :: N, NRHS, LDB, LDX, INFO
       INTEGER(8), DIMENSION(:) :: IPIVOT, WORK2
       REAL :: RCOND
       REAL,  DIMENSION(:)  ::	LOW,  D, UP, LOWF, DF, UPF1, UPF2, FERR, BERR,
       WORK
       REAL, DIMENSION(:,:) :: B, X

   C INTERFACE
       #include <sunperf.h>

       void sgtsvx(char fact, char transa, int n, int nrhs, float *low,	 float
		 *d,  float  *up,  float  *lowf, float *df, float *upf1, float
		 *upf2, int *ipivot, float *b, int ldb,	 float	*x,  int  ldx,
		 float *rcond, float *ferr, float *berr, int *info);

       void  sgtsvx_64(char  fact, char transa, long n, long nrhs, float *low,
		 float *d, float *up, float *lowf,  float  *df,	 float	*upf1,
		 float *upf2, long *ipivot, float *b, long ldb, float *x, long
		 ldx, float *rcond, float *ferr, float *berr, long *info);

PURPOSE
       sgtsvx uses the LU factorization to compute the solution to a real sys‐
       tem  of linear equations A * X = B or A**T * X = B, where A is a tridi‐
       agonal matrix of order N and X and B are N-by-NRHS matrices.

       Error bounds on the solution and a condition  estimate  are  also  pro‐
       vided.

       The following steps are performed:

       1. If FACT = 'N', the LU decomposition is used to factor the matrix A
	  as A = L * U, where L is a product of permutation and unit lower
	  bidiagonal matrices and U is upper triangular with nonzeros in
	  only the main diagonal and first two superdiagonals.

       2. If some U(i,i)=0, so that U is exactly singular, then the routine
	  returns with INFO = i. Otherwise, the factored form of A is used
	  to estimate the condition number of the matrix A.  If the
	  reciprocal of the condition number is less than machine precision,
	  INFO = N+1 is returned as a warning, but the routine still goes on
	  to solve for X and compute error bounds as described below.

       3. The system of equations is solved for X using the factored form
	  of A.

       4. Iterative refinement is applied to improve the computed solution
	  matrix and calculate error bounds and backward error estimates
	  for it.

ARGUMENTS
       FACT (input)
		 Specifies whether or not the factored form of A has been sup‐
		 plied on entry.  = 'F':  LOWF, DF,  UPF1,  UPF2,  and	IPIVOT
		 contain  the  factored form of A; LOW, D, UP, LOWF, DF, UPF1,
		 UPF2 and IPIVOT will not be modified.	 =  'N':   The	matrix
		 will be copied to LOWF, DF, and UPF1 and factored.

       TRANSA (input)
		 Specifies the form of the system of equations:
		 = 'N':	 A * X = B     (No transpose)
		 = 'T':	 A**T * X = B  (Transpose)
		 = 'C':	 A**H * X = B  (Conjugate transpose = Transpose)

		 TRANSA is defaulted to 'N' for F95 INTERFACE.

       N (input) The order of the matrix A.  N >= 0.

       NRHS (input)
		 The  number  of right hand sides, i.e., the number of columns
		 of the matrix B.  NRHS >= 0.

       LOW (input)
		 The (n-1) subdiagonal elements of A.

       D (input) The n diagonal elements of A.

       UP (input/output)
		 The (n-1) superdiagonal elements of A.

       LOWF (input or output)
		 If FACT = 'F', then LOWF is an input argument	and  on	 entry
		 contains  the (n-1) multipliers that define the matrix L from
		 the LU factorization of A as computed by SGTTRF.

		 If FACT = 'N', then LOWF is an output argument	 and  on  exit
		 contains  the (n-1) multipliers that define the matrix L from
		 the LU factorization of A.

       DF (input or output)
		 If FACT = 'F', then DF is an input argument and on entry con‐
		 tains	the n diagonal elements of the upper triangular matrix
		 U from the LU factorization of A.

		 If FACT = 'N', then DF is an output argument and on exit con‐
		 tains	the n diagonal elements of the upper triangular matrix
		 U from the LU factorization of A.

       UPF1 (input or output)
		 If FACT = 'F', then UPF1 is an input argument	and  on	 entry
		 contains the (n-1) elements of the first superdiagonal of U.

		 If  FACT  =  'N', then UPF1 is an output argument and on exit
		 contains the (n-1) elements of the first superdiagonal of U.

       UPF2 (input or output)
		 If FACT = 'F', then UPF2 is an input argument	and  on	 entry
		 contains the (n-2) elements of the second superdiagonal of U.

		 If  FACT  =  'N', then UPF2 is an output argument and on exit
		 contains the (n-2) elements of the second superdiagonal of U.

       IPIVOT (input/output)
		 If FACT = 'F', then IPIVOT is an input argument and on	 entry
		 contains  the pivot indices from the LU factorization of A as
		 computed by SGTTRF.

		 If FACT = 'N', then IPIVOT is an output argument and on  exit
		 contains  the	pivot  indices from the LU factorization of A;
		 row i of the matrix  was  interchanged	 with  row  IPIVOT(i).
		 IPIVOT(i) will always be either i or i+1; IPIVOT(i) = i indi‐
		 cates a row interchange was not required.

       B (input) The N-by-NRHS right hand side matrix B.

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

       X (output)
		 If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X.

       LDX (input)
		 The leading dimension of the array X.	LDX >= max(1,N).

       RCOND (output)
		 The estimate of the reciprocal condition number of the matrix
		 A.   If RCOND is less than the machine precision (in particu‐
		 lar, if RCOND = 0), the matrix is singular to working	preci‐
		 sion.	This condition is indicated by a return code of INFO >
		 0.

       FERR (output)
		 The estimated forward error bound for	each  solution	vector
		 X(j) (the j-th column of the solution matrix X).  If XTRUE is
		 the true solution corresponding to X(j), FERR(j) is an	 esti‐
		 mated upper bound for the magnitude of the largest element in
		 (X(j) - XTRUE) divided by the magnitude of the	 largest  ele‐
		 ment  in  X(j).   The estimate is as reliable as the estimate
		 for RCOND, and is almost always a slight overestimate of  the
		 true error.

       BERR (output)
		 The  componentwise  relative  backward error of each solution
		 vector X(j) (i.e., the smallest relative change in  any  ele‐
		 ment of A or B that makes X(j) an exact solution).

       WORK (workspace)
		 dimension(3*N)

       WORK2 (workspace)
		 dimension(N)

       INFO (output)
		 = 0:  successful exit
		 < 0:  if INFO = -i, the i-th argument had an illegal value
		 > 0:  if INFO = i, and i is
		 <=  N:	  U(i,i)  is  exactly zero.  The factorization has not
		 been completed unless i = N, but the factor U is exactly sin‐
		 gular,	 so  the  solution  and error bounds could not be com‐
		 puted.	 RCOND = 0 is returned.	 = N+1: U is nonsingular,  but
		 RCOND is less than machine precision, meaning that the matrix
		 is singular to working precision.  Nevertheless, the solution
		 and  error  bounds are computed because there are a number of
		 situations where the computed solution can be	more  accurate
		 than the value of RCOND would suggest.

				  6 Mar 2009			    sgtsvx(3P)
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