概要
本サンプルはFortran言語によりLAPACKルーチンZHPSVXを利用するサンプルプログラムです。
以下の式を解きます。
及び

解のエラー推定値、行列
入力データ
(本ルーチンの詳細はZHPSVX のマニュアルページを参照)| このデータをダウンロード |
ZHPSVX Example Program Data
4 2 :N and NRHS
( -1.84, 0.00) ( 0.11, -0.11) ( -1.78, -1.18) ( 3.91, -1.50)
( -4.63 , 0.00) ( -1.84, 0.03) ( 2.21, 0.21)
( -8.87, 0.00) ( 1.58, -0.90)
( -1.36 , 0.00) :End matrix A
( 2.98,-10.18) ( 28.68,-39.89)
( -9.58, 3.88) (-24.79, -8.40)
( -0.77,-16.05) ( 4.23,-70.02)
( 7.79, 5.48) (-35.39, 18.01) :End matrix B
出力結果
(本ルーチンの詳細はZHPSVX のマニュアルページを参照)| この出力例をダウンロード |
ZHPSVX Example Program Results
Solution(s)
1 2
1 ( 2.0000, 1.0000) (-8.0000, 6.0000)
2 ( 3.0000,-2.0000) ( 7.0000,-2.0000)
3 (-1.0000, 2.0000) (-1.0000, 5.0000)
4 ( 1.0000,-1.0000) ( 3.0000,-4.0000)
Backward errors (machine-dependent)
5.1E-17 5.9E-17
Estimated forward error bounds (machine-dependent)
2.5E-15 3.0E-15
Estimate of reciprocal condition number
1.5E-01
ソースコード
(本ルーチンの詳細はZHPSVX のマニュアルページを参照)※本サンプルソースコードのご利用手順は「サンプルのコンパイル及び実行方法」をご参照下さい。
| このソースコードをダウンロード |
Program zhpsvx_example
! ZHPSVX Example Program Text
! Copyright 2017, Numerical Algorithms Group Ltd. http://www.nag.com
! .. Use Statements ..
Use lapack_example_aux, Only: nagf_file_print_matrix_complex_gen_comp
Use lapack_interfaces, Only: zhpsvx
Use lapack_precision, Only: dp
! .. Implicit None Statement ..
Implicit None
! .. Parameters ..
Integer, Parameter :: nin = 5, nout = 6
Character (1), Parameter :: uplo = 'U'
! .. Local Scalars ..
Real (Kind=dp) :: rcond
Integer :: i, ifail, info, j, ldb, ldx, n, nrhs
! .. Local Arrays ..
Complex (Kind=dp), Allocatable :: afp(:), ap(:), b(:, :), work(:), &
x(:, :)
Real (Kind=dp), Allocatable :: berr(:), ferr(:), rwork(:)
Integer, Allocatable :: ipiv(:)
Character (1) :: clabs(1), rlabs(1)
! .. Executable Statements ..
Write (nout, *) 'ZHPSVX Example Program Results'
Write (nout, *)
Flush (nout)
! Skip heading in data file
Read (nin, *)
Read (nin, *) n, nrhs
ldb = n
ldx = n
Allocate (afp((n*(n+1))/2), ap((n*(n+1))/2), b(ldb,nrhs), work(2*n), x( &
ldx,nrhs), berr(nrhs), ferr(nrhs), rwork(n), ipiv(n))
! Read the upper or lower triangular part of the matrix A from
! data file
If (uplo=='U') Then
Read (nin, *)((ap(i+(j*(j-1))/2),j=i,n), i=1, n)
Else If (uplo=='L') Then
Read (nin, *)((ap(i+((2*n-j)*(j-1))/2),j=1,i), i=1, n)
End If
! Read B from data file
Read (nin, *)(b(i,1:nrhs), i=1, n)
! Solve the equations AX = B for X
Call zhpsvx('Not factored', uplo, n, nrhs, ap, afp, ipiv, b, ldb, x, &
ldx, rcond, ferr, berr, work, rwork, info)
If ((info==0) .Or. (info==n+1)) Then
! Print solution, error bounds and condition number
! ifail: behaviour on error exit
! =0 for hard exit, =1 for quiet-soft, =-1 for noisy-soft
ifail = 0
Call nagf_file_print_matrix_complex_gen_comp('General', ' ', n, nrhs, &
x, ldx, 'Bracketed', 'F7.4', 'Solution(s)', 'Integer', rlabs, &
'Integer', clabs, 80, 0, ifail)
Write (nout, *)
Write (nout, *) 'Backward errors (machine-dependent)'
Write (nout, 100) berr(1:nrhs)
Write (nout, *)
Write (nout, *) 'Estimated forward error bounds (machine-dependent)'
Write (nout, 100) ferr(1:nrhs)
Write (nout, *)
Write (nout, *) 'Estimate of reciprocal condition number'
Write (nout, 100) rcond
Write (nout, *)
If (info==n+1) Then
Write (nout, *)
Write (nout, *) 'The matrix A is singular to working precision'
End If
Else
Write (nout, 110) 'The diagonal block ', info, ' of D is zero'
End If
100 Format ((3X,1P,7E11.1))
110 Format (1X, A, I3, A)
End Program
