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fvn_test/test_sparse_di.f90
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program test_sparse ! test sparse routine di, real(8) and integer(4) use fvn implicit none integer(kind=sp_kind), parameter :: nz=12 integer(kind=sp_kind), parameter :: n=5 real(kind=dp_kind),dimension(nz) :: A real(kind=dp_kind),dimension(n,n) :: As integer(kind=sp_kind),dimension(nz) :: Ti,Tj real(kind=dp_kind),dimension(n) :: B,x integer(kind=sp_kind) :: status,i |
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real(kind=dp_kind),dimension(2) :: det |
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! Description of the matrix in triplet form A = (/ 2.,3.,3.,-1.,4.,4.,-3.,1.,2.,2.,6.,1. /) B = (/ 8., 45., -3., 3., 19./) Ti = (/ 1,2,1,3,5,2,3,4,5,3,2,5 /) Tj = (/ 1,1,2,2,2,3,3,3,3,4,5,5 /) ! Reconstruction of the matrix in standard form ! just needed for printing the matrix here As=0. do i=1,nz As(Ti(i),Tj(i))=A(i) end do write(*,*) "Matrix in standard representation :" do i=1,5 write(*,'(5f8.4)') As(i,:) end do write(*,*) write(*,*) "Standard determinant =", fvn_det(5,As) write(*,*) write(*,'("Right hand side :",5f8.4)') B ! can use either specific interface, fvn_di_sparse_det ! either generic one fvn_sparse_det call fvn_di_sparse_det(n,nz,A,Ti,Tj,det,status) write(*,*) |
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write(*,*) "Sparse Det = ",det(1)*10**det(2) |
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! can use either specific interface fvn_di_sparse_solve ! either generic one fvn_sparse_solve ! parameter det is optional call fvn_di_sparse_solve(n,nz,A,Ti,Tj,B,x,status,det) write(*,*) |
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write(*,*) "Sparse Det as solve option = ",det(1)*10**det(2) |
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write(*,*) write(*,'("Solution :",5f8.4)') x write(*,*) write(*,'("Product matrix Solution :",5f8.4)') matmul(As,x) end program |