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zhpsvx(3P)		    Sun Performance Library		    zhpsvx(3P)

NAME
       zhpsvx  -  use  the diagonal pivoting factorization A = U*D*U**H or A =
       L*D*L**H to compute the solution to a complex system  of	 linear	 equa‐
       tions A * X = B, where A is an N-by-N Hermitian matrix stored in packed
       format and X and B are N-by-NRHS matrices

SYNOPSIS
       SUBROUTINE ZHPSVX(FACT, UPLO, N, NRHS, A, AF, IPIVOT, B, LDB, X, LDX,
	     RCOND, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER * 1 FACT, UPLO
       DOUBLE COMPLEX A(*), AF(*), B(LDB,*), X(LDX,*), WORK(*)
       INTEGER N, NRHS, LDB, LDX, INFO
       INTEGER IPIVOT(*)
       DOUBLE PRECISION RCOND
       DOUBLE PRECISION FERR(*), BERR(*), WORK2(*)

       SUBROUTINE ZHPSVX_64(FACT, UPLO, N, NRHS, A, AF, IPIVOT, B, LDB, X,
	     LDX, RCOND, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER * 1 FACT, UPLO
       DOUBLE COMPLEX A(*), AF(*), B(LDB,*), X(LDX,*), WORK(*)
       INTEGER*8 N, NRHS, LDB, LDX, INFO
       INTEGER*8 IPIVOT(*)
       DOUBLE PRECISION RCOND
       DOUBLE PRECISION FERR(*), BERR(*), WORK2(*)

   F95 INTERFACE
       SUBROUTINE HPSVX(FACT, UPLO, [N], [NRHS], A, AF, IPIVOT, B, [LDB], X,
	      [LDX], RCOND, FERR, BERR, [WORK], [WORK2], [INFO])

       CHARACTER(LEN=1) :: FACT, UPLO
       COMPLEX(8), DIMENSION(:) :: A, AF, WORK
       COMPLEX(8), DIMENSION(:,:) :: B, X
       INTEGER :: N, NRHS, LDB, LDX, INFO
       INTEGER, DIMENSION(:) :: IPIVOT
       REAL(8) :: RCOND
       REAL(8), DIMENSION(:) :: FERR, BERR, WORK2

       SUBROUTINE HPSVX_64(FACT, UPLO, [N], [NRHS], A, AF, IPIVOT, B, [LDB],
	      X, [LDX], RCOND, FERR, BERR, [WORK], [WORK2], [INFO])

       CHARACTER(LEN=1) :: FACT, UPLO
       COMPLEX(8), DIMENSION(:) :: A, AF, WORK
       COMPLEX(8), DIMENSION(:,:) :: B, X
       INTEGER(8) :: N, NRHS, LDB, LDX, INFO
       INTEGER(8), DIMENSION(:) :: IPIVOT
       REAL(8) :: RCOND
       REAL(8), DIMENSION(:) :: FERR, BERR, WORK2

   C INTERFACE
       #include <sunperf.h>

       void zhpsvx(char fact, char uplo, int n, int  nrhs,  doublecomplex  *a,
		 doublecomplex	*af,  int  *ipivot, doublecomplex *b, int ldb,
		 doublecomplex *x, int ldx, double *rcond, double *ferr,  dou‐
		 ble *berr, int *info);

       void  zhpsvx_64(char  fact, char uplo, long n, long nrhs, doublecomplex
		 *a, doublecomplex *af, long *ipivot, doublecomplex  *b,  long
		 ldb, doublecomplex *x, long ldx, double *rcond, double *ferr,
		 double *berr, long *info);

PURPOSE
       zhpsvx uses the diagonal pivoting factorization A =  U*D*U**H  or  A  =
       L*D*L**H	 to  compute  the solution to a complex system of linear equa‐
       tions A * X = B, where A is an N-by-N Hermitian matrix stored in packed
       format 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 diagonal pivoting method is used to factor A as
	     A = U * D * U**H,	if UPLO = 'U', or
	     A = L * D * L**H,	if UPLO = 'L',
	  where U (or L) is a product of permutation and unit upper (lower)
	  triangular matrices and D is Hermitian and block diagonal with
	  1-by-1 and 2-by-2 diagonal blocks.

       2. If some D(i,i)=0, so that D 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':  On entry, AF and IPIVOT contain the
		 factored form of A.  AF and IPIVOT will not be	 modified.   =
		 'N':  The matrix A will be copied to AF and factored.

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

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

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

       A (input) COMPLEX*16 array, dimension (N*(N+1)/2)
		 The upper or lower triangle of the Hermitian matrix A, packed
		 columnwise in a linear array.	The j-th column of A is stored
		 in  the array A as follows: if UPLO = 'U', A(i + (j-1)*j/2) =
		 A(i,j) for 1<=i<=j; if UPLO = 'L', A(i +  (j-1)*(2*n-j)/2)  =
		 A(i,j) for j<=i<=n.  See below for further details.

       AF (input or output) COMPLEX*16 array, dimension (N*(N+1)/2)
		 If FACT = 'F', then AF is an input argument and on entry con‐
		 tains the block diagonal matrix D and the multipliers used to
		 obtain	 the factor U or L from the factorization A = U*D*U**H
		 or A = L*D*L**H as computed by ZHPTRF,	 stored	 as  a	packed
		 triangular matrix in the same storage format as A.

		 If FACT = 'N', then AF is an output argument and on exit con‐
		 tains the block diagonal matrix D and the multipliers used to
		 obtain	 the factor U or L from the factorization A = U*D*U**H
		 or A = L*D*L**H as computed by ZHPTRF,	 stored	 as  a	packed
		 triangular matrix in the same storage format as A.

       IPIVOT (input or output) INTEGER array, dimension (N)
		 If  FACT = 'F', then IPIVOT is an input argument and on entry
		 contains details of the interchanges and the block  structure
		 of  D,	 as determined by ZHPTRF.  If IPIVOT(k) > 0, then rows
		 and columns k and IPIVOT(k) were interchanged and D(k,k) is a
		 1-by-1	 diagonal  block.   If	UPLO  =	 'U'  and  IPIVOT(k) =
		 IPIVOT(k-1) < 0, then rows and	 columns  k-1  and  -IPIVOT(k)
		 were  interchanged  and  D(k-1:k,k-1:k)  is a 2-by-2 diagonal
		 block.	 If UPLO = 'L' and IPIVOT(k) = IPIVOT(k+1) <  0,  then
		 rows  and  columns  k+1  and -IPIVOT(k) were interchanged and
		 D(k:k+1,k:k+1) is a 2-by-2 diagonal block.

		 If FACT = 'N', then IPIVOT is an output argument and on  exit
		 contains  details of the interchanges and the block structure
		 of D, as determined by ZHPTRF.

       B (input) COMPLEX*16 array, dimension (LDB,NRHS)
		 The N-by-NRHS right hand side matrix B.

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

       X (output) COMPLEX*16 array, dimension (LDX,NRHS)
		 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) DOUBLE PRECISION array, dimension (NRHS)
		 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) DOUBLE PRECISION array, dimension (NRHS)
		 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)
		 COMPLEX*16 array, dimension(2*N)

       DOUBLE PRECISION array, 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:	  D(i,i)  is exactly zero.  The factorization has been
		 completed but the factor D is exactly singular, so the	 solu‐
		 tion  and  error  bounds  could not be computed. RCOND = 0 is
		 returned.  = N+1: D 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.

FURTHER DETAILS
       The  packed storage scheme is illustrated by the following example when
       N = 4, UPLO = 'U':

       Two-dimensional storage of the Hermitian matrix A:

	  a11 a12 a13 a14
	      a22 a23 a24
		  a33 a34     (aij = conjg(aji))
		      a44

       Packed storage of the upper triangle of A:

       A = [ a11, a12, a22, a13, a23, a33, a14, a24, a34, a44 ]

				  6 Mar 2009			    zhpsvx(3P)
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