Program zgelss_example ! ZGELSS Example Program Text ! Copyright 2017, Numerical Algorithms Group Ltd. http://www.nag.com ! .. Use Statements .. Use blas_interfaces, Only: dznrm2 Use lapack_interfaces, Only: zgelss Use lapack_precision, Only: dp ! .. Implicit None Statement .. Implicit None ! .. Parameters .. Integer, Parameter :: nb = 64, nin = 5, nout = 6 ! .. Local Scalars .. Real (Kind=dp) :: rcond, rnorm Integer :: i, info, lda, lwork, m, n, rank ! .. Local Arrays .. Complex (Kind=dp), Allocatable :: a(:, :), b(:), work(:) Real (Kind=dp), Allocatable :: rwork(:), s(:) ! .. Executable Statements .. Write (nout, *) 'ZGELSS Example Program Results' Write (nout, *) ! Skip heading in data file Read (nin, *) Read (nin, *) m, n lda = m lwork = 2*n + nb*(m+n) Allocate (a(lda,n), b(m), work(lwork), rwork(5*n), s(n)) ! Read A and B from data file Read (nin, *)(a(i,1:n), i=1, m) Read (nin, *) b(1:m) ! Choose RCOND to reflect the relative accuracy of the input data rcond = 0.01E0_dp ! Solve the least squares problem min( norm2(b - Ax) ) for the x ! of minimum norm. Call zgelss(m, n, 1, a, lda, b, m, s, rcond, rank, work, lwork, rwork, & info) If (info==0) Then ! Print solution Write (nout, *) 'Least squares solution' Write (nout, 100) b(1:n) ! Print the effective rank of A Write (nout, *) Write (nout, *) 'Tolerance used to estimate the rank of A' Write (nout, 110) rcond Write (nout, *) 'Estimated rank of A' Write (nout, 120) rank ! Print singular values of A Write (nout, *) Write (nout, *) 'Singular values of A' Write (nout, 130) s(1:n) ! Compute and print estimate of the square root of the ! residual sum of squares If (rank==n) Then rnorm = dznrm2(m-n, b(n+1), 1) Write (nout, *) Write (nout, *) 'Square root of the residual sum of squares' Write (nout, 110) rnorm End If Else Write (nout, *) 'The SVD algorithm failed to converge' End If 100 Format (4(' (',F7.4,',',F7.4,')',:)) 110 Format (3X, 1P, E11.2) 120 Format (1X, I6) 130 Format (1X, 7F11.4) End Program