概要
本サンプルはFortran言語によりLAPACKルーチンDPBSVX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。


解のエラー推定値、均衡化についての情報、スケーリングされた行列

入力データ
(本ルーチンの詳細はDPBSVX のマニュアルページを参照)1 2 3 4 5 6 7 8 9 10 11 12 13
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DPBSVX Example Program Data 4 1 2 :Values of N, KD and NRHS 5.49 2.68 5.63 -2.39 2.60 -2.22 5.17 :End of matrix A 22.09 5.10 9.31 30.81 -5.24 -25.82 11.83 22.90 :End of matrix B
出力結果
(本ルーチンの詳細はDPBSVX のマニュアルページを参照)1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
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DPBSVX Example Program Results Solution(s) 1 2 1 5.0000 -2.0000 2 -2.0000 6.0000 3 -3.0000 -1.0000 4 1.0000 4.0000 Backward errors (machine-dependent) 8.6E-17 1.1E-16 Estimated forward error bounds (machine-dependent) 2.0E-14 2.8E-14 Estimate of reciprocal condition number 1.3E-02 A has not been equilibrated
ソースコード
(本ルーチンの詳細はDPBSVX 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。
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Program dpbsvx_example ! DPBSVX Example Program Text ! Copyright 2017, Numerical Algorithms Group Ltd. http://www.nag.com ! .. Use Statements .. Use lapack_example_aux, Only: nagf_file_print_matrix_real_gen Use lapack_interfaces, Only: dpbsvx 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, kd, ldab, ldafb, ldb, ldx, n, nrhs Character (1) :: equed ! .. Local Arrays .. Real (Kind=dp), Allocatable :: ab(:, :), afb(:, :), b(:, :), berr(:), & ferr(:), s(:), work(:), x(:, :) Integer, Allocatable :: iwork(:) ! .. Intrinsic Procedures .. Intrinsic :: max, min ! .. Executable Statements .. Write (nout, *) 'DPBSVX Example Program Results' Write (nout, *) Flush (nout) ! Skip heading in data file Read (nin, *) Read (nin, *) n, kd, nrhs ldb = n ldx = n ldab = kd + 1 ldafb = kd + 1 Allocate (ab(ldab,n), afb(ldafb,n), b(ldb,nrhs), berr(nrhs), ferr(nrhs), & s(n), work(3*n), x(ldx,nrhs), iwork(n)) ! Read the upper or lower triangular part of the band matrix A ! from data file If (uplo=='U') Then Read (nin, *)((ab(kd+1+i-j,j),j=i,min(n,i+kd)), i=1, n) Else If (uplo=='L') Then Read (nin, *)((ab(1+i-j,j),j=max(1,i-kd),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 dpbsvx('Equilibration', uplo, n, kd, nrhs, ab, ldab, afb, ldafb, & equed, s, b, ldb, x, ldx, rcond, ferr, berr, work, iwork, info) If ((info==0) .Or. (info==n+1)) Then ! Print solution, error bounds, condition number and the form ! of equilibration ! ifail: behaviour on error exit ! =0 for hard exit, =1 for quiet-soft, =-1 for noisy-soft ifail = 0 Call nagf_file_print_matrix_real_gen('General', ' ', n, nrhs, x, ldx, & 'Solution(s)', 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 (equed=='N') Then Write (nout, *) 'A has not been equilibrated' Else If (equed=='Y') Then Write (nout, *) & 'A has been row and column scaled as diag(S)*A*diag(S)' End If If (info==n+1) Then Write (nout, *) Write (nout, *) 'The matrix A is singular to working precision' End If Else Write (nout, 110) 'The leading minor of order ', info, & ' is not positive definite' End If 100 Format ((3X,1P,7E11.1)) 110 Format (1X, A, I3, A) End Program