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Recently I want to reproduce the Fig.1(a) of Edge States and Topological Invariants of Non-Hermitian Systems.I used cgeev to solve eigenvalue of non-Hermitian Hamiltonian matrices，I found the solution become wired.
Here is my Fortran code,the result to Fig1.(a) correspond the abs.dat.
module pub
implicit none
complex,parameter::im = (0.0,1.0)
real,parameter::pi = 3.1415926535
integer xn,N,en,kn
parameter(xn = 100,N = xn*2,en = 100)
complex Ham(N,N)
real t1,t2,t3,gam
!-----------------
integer::lda = N
integer,parameter::lwmax=2*N + N**2
complex,allocatable::w(:) ! store eigenvalues
complex,allocatable::work(:)
real,allocatable::rwork(:)
integer lwork
integer info
integer LDVL, LDVR
parameter(LDVL = N, LDVR = N )
complex VL( LDVL, N ), VR( LDVR, N )
end module pub
!=====================================================
program sol
use pub
! Physics memory allocate
allocate(w(N))
allocate(work(lwmax))
allocate(rwork(2*N))
!-----------------
t2 = 1.0
t3 = 0.0
gam = 3.0/4.0
call band()
end program sol
!======================================================
subroutine band()
use pub
integer m1,i
open(11,file="real.dat")
open(12,file="imag.dat")
open(13,file="abs.dat")
do m1 = -en,en
t1 = 3.0*m1/en
call matset()
call eigsol()
write(11,999)t1,(real(w(i)),i = 1,N)
write(12,999)t1,(aimag(w(i)),i = 1,N)
write(13,999)t1,(abs(w(i)),i = 1,N)
end do
close(11)
close(12)
close(13)
999 format(201f11.6)
end subroutine band
!======================================================
subroutine matset()
use pub
real kx
complex sx(2,2),sy(2,2),sz(2,2)
integer k,m1,m2
sx(1,2) = 1.0
sx(2,1) = 1.0
sy(1,2) = -im
sy(2,1) = im
sz(1,1) = 1.0
sz(2,2) = -1.0
!--------
Ham = 0.0
do k = 0,xn-1
if(k == 0)then
do m1 = 1,2
do m2 = 1,2
ham(m1,m2) = t1*sx(m1,m2) + im*gam/2.0*sy(m1,m2)
ham(m1,m2 + 2) = (t2 + t3)/2.0*sx(m1,m2) - im*(t2 - t3)/2.0*sy(m1,m2)
end do
end do
elseif(k == xn-1)then
do m1 = 1,2
do m2 = 1,2
ham(k*2 + m1,k*2 + m2) = t1*sx(m1,m2) + im*gam/2.0*sy(m1,m2)
ham(k*2 + m1,k*2 + m2 - 2) = (t2 + t3)/2.0*sx(m1,m2) + im*(t2 - t3)/2.0*sy(m1,m2)
end do
end do
else
do m1 = 1,2
do m2 = 1,2
ham(k*2 + m1,k*2 + m2) = t1*sx(m1,m2) + im*gam/2.0*sy(m1,m2)
! right hopping
ham(k*2 + m1,k*2 + m2 + 2) = (t2 + t3)/2.0*sx(m1,m2) - im*(t2 - t3)/2.0*sy(m1,m2)
! left hopping
ham(k*2 + m1,k*2 + m2 - 2) = (t2 + t3)/2.0*sx(m1,m2) + im*(t2 - t3)/2.0*sy(m1,m2)
end do
end do
end if
end do
return
end subroutine matset
!==============================================================================
subroutine eigsol()
use pub
! Query the optimal workspace.
LWORK = -1
CALL cgeev( 'Vectors', 'Vectors', N, Ham, LDA, W, VL, LDVL, VR, LDVR, WORK, LWORK, RWORK, INFO)
LWORK = MIN( LWMAX, INT( WORK( 1 ) ) )
! Solve eigenproblem.
CALL cgeev( 'Vectors', 'Vectors', N, Ham, LDA, W, VL, LDVL,VR, LDVR, WORK, LWORK, RWORK, INFO)
! Check for convergence.
IF( INFO.GT.0 ) THEN
WRITE(*,*)'The algorithm failed to compute eigenvalues.'
STOP
END IF
! open(120,file="eigval.dat")
! do m = 1,N
! write(120,*)m,w(m)
! end do
! close(120)
return
end subroutine eigsol
If I used wrong function from Lapack or my code isn't correct.
I use intel fortran,complie command is
*ifort -mkl file.f90 -o a.out
Run program ./a.out&*
I have a fortran code that computes the solution vector using the thomas algorithm subroutine.
I want the solution vector to run in a loop for a certain number of time.
How do i call this subroutine in the loop?
my subroutine is the thomas algorithm subroutine.
It returns the solution vector u but I want it to use the vectors NN times in a loop. So the old u becomes the new u to use in the subroutine.
How do I do this?
Below is the what i tried
program thomasalg2
implicit double precision(A-H,O-Z)
real*8, dimension(9,1) :: a,b,c,r,u,uold!the dimension is subject to change depending on the size of the new matrix
!real*8, dimension(9,50) :: W
real*8 :: pi
real*8 :: h,k,lm,l,T
integer :: i,j,al,NN,n
l = 1!right endpoint on the X-axis
n = 9 !number of rols/cols of the coefficient matrix with boundaries included
T = 0.5 !maximum number of the time variable
NN = 50!number of time steps
np = n
h = l/n
k = T/NN
al = 1.0D0 !alpha
pi = dacos(-1.0D0)
lm = (al**2)*(k/(h**2)) !lambda
do i = 1,n
r(i,1) = sin(pi*i*h) !this is W_0
end do
a(1,1) = 0.0D0
do i = 2,n
a(i,1) = -lm
end do
do i = 1,n
b(i,1) = 1 + (2*lm)
end do
c(9,1) = 0.0D0
do i = 1,n-1
c(i,1) = -lm
end do
!the 3 diagonals are stored in the 1st, 2nd, 3rd & 4th files respectively.
open(10, file = 'thom1.txt')
open(11, file = 'thom2.txt')
open(12, file = 'thom3.txt')
open(13, file = 'thom4.txt')
write(10,*)
do i = 1,n
write(10,*) a(i,1)
end do
write(11,*)
do i = 1,n
write(11,*) b(i,1)
end do
write(12,*)
do i = 1,n
write(12,*) c(i,1)
end do
write(13,*)
do i = 1,n
write(13,*) r(i,1)
end do
open(14, file = 'tridag2.txt')
write(14,*)
n = 9
do i = 1,n
write(14,*) a(i,1),b(i,1),c(i,1),r(i,1) !write the given vectors in the file in the form of a column vector
end do
call tridag(a,b,c,r,u,n)
!solve the given system and return the solution vector u
do i = 1,NN
call tridag(a,b,c,r,u,n)
!write(15,*) u
r = u
end do
open(15, file = 'tridag2u.txt')
write(15,*)
!write the solution vector in the form of a column vector
do i = 1,n
write(15,*) u(i,1)
end do
!print *, "Your data has been written in 'tridag2.txt'"
end program thomasalg2
subroutine tridag(a,b,c,r,u,n)
implicit double precision (A-H, O-Z)
integer n, NMAX
real*8 a(n), b(n), c(n), r(n), u(n)
parameter (NMAX = 500)
integer j
real*8 bet, gam(NMAX)
if(b(1).eq.0.) stop "tridag: rewrite equations"
bet = b(1)
u(1)=r(1)/bet
do j = 2,n
gam(j) = c(j-1)/bet
bet = b(j)-a(j)*gam(j)
if (bet.eq.0.) stop "tridag failed"
u(j) = (r(j)-a(j)*u(j-1))/bet
end do
do j = n-1,1,-1
u(j) = u(j)-gam(j+1)*u(j+1)
end do
!print *, "The solution is", u
return
end subroutine
I'm using a Fortran 90 script below to solve a partial differential equation using iterative method, but I have one issue about the structure of the program. If I use a subroutine called by the program the solution converge properly, but if I just put the calculations inside of the iterations the solution does not converge.
Here is the program that does not work:
...
DO IT = 2,ITMAX
DO I = 1,IMAX
PHIN(IT-1,I,1) = PHIN(IT-1,I,2) - (Y(2) - Y(1))*UINF*PHIY(I)
END DO
PHIN(IT,I,1) = PHIN(IT-1,I,1)
DO J = 2,JMAX-1
DO I = 2,IMAX-1
LPHI(I,J) = AX(I)*PHIN(IT-1,I-1,J) - &
BX(I)*PHIN(IT-1,I,J) + &
CX(I)*PHIN(IT-1,I+1,J) + &
AY(J)*PHIN(IT-1,I,J-1) - &
BY(J)*PHIN(IT-1,I,J) + &
CY(J)*PHIN(IT-1,I,J+1)
ENDDO
ENDDO
!
! SELECT CASE(SOL)
! CASE(1)
! CALL NPJ()
! CASE(2)
! CALL NPGS()
! CASE(3)
! CALL NSOR()
! END SELECT
DO J = 2,JMAX-1
DO I = 2,IMAX-1
C(I,J) = 1/(2*(DELTAX(I)**2 + DELTAY(J)**2))* &
(((DELTAX(I)*DELTAY(J))**2)*LPHI(I,J) + &
(PHIN(IT,I-1,J) - PHIN(IT-1,I-1,J))*DELTAY(J) + &
(PHIN(IT,I,J-1) - PHIN(IT-1,I,J-1))*DELTAX(I))
END DO
END DO
PHIN(IT,:,:) = PHIN(IT-1,:,:) + C(:,:)
RESI(IT) = MAXVAL(ABS(LPHI(:,:)))
IF (RESI(IT)<EPS) THEN
ITVALUE = IT
EXIT
ENDIF
LPHI(:,:) = 0
WRITE(*,*) IT,RESI(IT)
ENDDO
...
and the solution that works fine,
...
DO IT = 2,ITMAX
DO I = 1,IMAX
PHIN(IT-1,I,1) = PHIN(IT-1,I,2) - (Y(2) - Y(1))*UINF*PHIY(I)
END DO
PHIN(IT,I,1) = PHIN(IT-1,I,1)
DO J = 2,JMAX-1
DO I = 2,IMAX-1
LPHI(I,J) = AX(I)*PHIN(IT-1,I-1,J) - &
BX(I)*PHIN(IT-1,I,J) + &
CX(I)*PHIN(IT-1,I+1,J) + &
AY(J)*PHIN(IT-1,I,J-1) - &
BY(J)*PHIN(IT-1,I,J) + &
CY(J)*PHIN(IT-1,I,J+1)
ENDDO
ENDDO
SELECT CASE(SOL)
CASE(1)
CALL NPJ()
CASE(2)
CALL NPGS()
CASE(3)
CALL NSOR()
END SELECT
PHIN(IT,:,:) = PHIN(IT-1,:,:) + C(:,:)
RESI(IT) = MAXVAL(ABS(LPHI(:,:)))
IF (RESI(IT)<EPS) THEN
ITVALUE = IT
EXIT
ENDIF
LPHI(:,:) = 0
WRITE(*,*) IT,RESI(IT)
ENDDO
...
subroutIne NPGS()
use var_mesh
use var_solve
C(:,:) = 0
DO J = 2,JMAX-1
DO I = 2,IMAX-1
C(I,J) = 1/(2*(DELTAX(I)**2 + DELTAY(J)**2))* &
(((DELTAX(I)*DELTAY(J))**2)*LPHI(I,J) + &
(PHIN(IT,I-1,J) - PHIN(IT-1,I-1,J))*DELTAY(J) + &
(PHIN(IT,I,J-1) - PHIN(IT-1,I,J-1))*DELTAX(I))
END DO
END DO
RETURN
END SUBROUTINE NPGS
Can someone explain what is the main difference and why both programs are different?
Assigning C = 0 helps the script in the convergence, but I found what was the error, I assign just one part of the boundary condition in the program in this line:
PHIN(IT,I,1) = PHIN(IT-1,I,1)
but the correct way is to the entirely matrix and:
PHIN(IT,:,:) = PHIN(IT-1,:,:)
I was writing code to use Fortran Eispack routines (compute eigenvalues and eigenvectors, just to check if the values would be different from the ones I got from Matlab), but every time it calls the qzhes subroutine the program hangs.
I load matrixes from files.
Tried commenting the call, and it works without an issue.
I just learned Fortran, and with the help of the internet I wrote this code (which compiles and run):
program qz
IMPLICIT NONE
INTEGER:: divm, i, divg
INTEGER(kind=4) :: dimen
LOGICAL :: matz
REAL(kind = 8), DIMENSION(:,:), ALLOCATABLE:: ma
REAL(kind = 8), DIMENSION(:), ALLOCATABLE:: tabm
REAL(kind = 8), DIMENSION(:,:), ALLOCATABLE:: ga
REAL(kind = 8), DIMENSION(:), ALLOCATABLE:: tabg
REAL(kind = 8), DIMENSION(:,:), ALLOCATABLE:: zet
divm = 1
divg = 2
dimen = 20
matz = .TRUE.
ALLOCATE(ma(1:dimen,1:dimen))
ALLOCATE(tabm(1:dimen))
ALLOCATE(ga(1:dimen,1:dimen))
ALLOCATE(tabg(1:dimen))
OPEN(divm, FILE='Em.txt')
DO i=1,dimen
READ (divm,*) tabm
ma(1:dimen,i)=tabm
END DO
CLOSE(divm)
OPEN(divg, FILE='Gje.txt')
DO i=1,dimen
READ (divg,*) tabg
ga(1:dimen,i)=tabg
END DO
CLOSE(divg)
call qzhes(dimen, ma, ga, matz, zet)
OPEN(divm, FILE='Em2.txt')
DO i=1,dimen
tabm = ma(1:dimen,i)
WRITE (divm,*) tabm
END DO
CLOSE(divm)
OPEN(divg, FILE='Gje2.txt')
DO i=1,dimen
tabg = ga(1:dimen,i)
WRITE (divg,*) tabg
END DO
CLOSE(divg)
end program qz
...//EISPACK subrotines//...
Matrixes:
Gje.txt:https://drive.google.com/file/d/0BxH3QOkswLy_c2hmTGpGVUI3NzQ/view?usp=sharing
Em.txt:https://drive.google.com/file/d/0BxH3QOkswLy_OEtJUGQwN3ZXX2M/view?usp=sharing
Edit:
subroutine qzhes ( n, a, b, matz, z )
!*****************************************************************************80
!
!! QZHES carries out transformations for a generalized eigenvalue problem.
!
! Discussion:
!
! This subroutine is the first step of the QZ algorithm
! for solving generalized matrix eigenvalue problems.
!
! This subroutine accepts a pair of real general matrices and
! reduces one of them to upper Hessenberg form and the other
! to upper triangular form using orthogonal transformations.
! it is usually followed by QZIT, QZVAL and, possibly, QZVEC.
!
! Licensing:
!
! This code is distributed under the GNU LGPL license.
!
! Modified:
!
! 18 October 2009
!
! Author:
!
! Original FORTRAN77 version by Smith, Boyle, Dongarra, Garbow, Ikebe,
! Klema, Moler.
! FORTRAN90 version by John Burkardt.
!
! Reference:
!
! James Wilkinson, Christian Reinsch,
! Handbook for Automatic Computation,
! Volume II, Linear Algebra, Part 2,
! Springer, 1971,
! ISBN: 0387054146,
! LC: QA251.W67.
!
! Brian Smith, James Boyle, Jack Dongarra, Burton Garbow,
! Yasuhiko Ikebe, Virginia Klema, Cleve Moler,
! Matrix Eigensystem Routines, EISPACK Guide,
! Lecture Notes in Computer Science, Volume 6,
! Springer Verlag, 1976,
! ISBN13: 978-3540075462,
! LC: QA193.M37.
!
! Parameters:
!
! Input, integer ( kind = 4 ) N, the order of the matrices.
!
! Input/output, real ( kind = 8 ) A(N,N). On input, the first real general
! matrix. On output, A has been reduced to upper Hessenberg form. The
! elements below the first subdiagonal have been set to zero.
!
! Input/output, real ( kind = 8 ) B(N,N). On input, a real general matrix.
! On output, B has been reduced to upper triangular form. The elements
! below the main diagonal have been set to zero.
!
! Input, logical MATZ, should be TRUE if the right hand transformations
! are to be accumulated for later use in computing eigenvectors.
!
! Output, real ( kind = 8 ) Z(N,N), contains the product of the right hand
! transformations if MATZ is TRUE.
!
implicit none
integer ( kind = 4 ) n
real ( kind = 8 ) a(n,n)
real ( kind = 8 ) b(n,n)
integer ( kind = 4 ) i
integer ( kind = 4 ) j
integer ( kind = 4 ) k
integer ( kind = 4 ) l
integer ( kind = 4 ) l1
integer ( kind = 4 ) lb
logical matz
integer ( kind = 4 ) nk1
integer ( kind = 4 ) nm1
real ( kind = 8 ) r
real ( kind = 8 ) rho
real ( kind = 8 ) s
real ( kind = 8 ) t
real ( kind = 8 ) u1
real ( kind = 8 ) u2
real ( kind = 8 ) v1
real ( kind = 8 ) v2
real ( kind = 8 ) z(n,n)
!
! Set Z to the identity matrix.
!
if ( matz ) then
z(1:n,1:n) = 0.0D+00
do i = 1, n
z(i,i) = 1.0D+00
end do
end if
!
! Reduce B to upper triangular form.
!
if ( n <= 1 ) then
return
end if
nm1 = n - 1
do l = 1, n - 1
l1 = l + 1
s = sum ( abs ( b(l+1:n,l) ) )
if ( s /= 0.0D+00 ) then
s = s + abs ( b(l,l) )
b(l:n,l) = b(l:n,l) / s
r = sqrt ( sum ( b(l:n,l)**2 ) )
r = sign ( r, b(l,l) )
b(l,l) = b(l,l) + r
rho = r * b(l,l)
do j = l + 1, n
t = dot_product ( b(l:n,l), b(l:n,j) )
b(l:n,j) = b(l:n,j) - t * b(l:n,l) / rho
end do
do j = 1, n
t = dot_product ( b(l:n,l), a(l:n,j) )
a(l:n,j) = a(l:n,j) - t * b(l:n,l) / rho
end do
b(l,l) = - s * r
b(l+1:n,l) = 0.0D+00
end if
end do
!
! Reduce A to upper Hessenberg form, while keeping B triangular.
!
if ( n == 2 ) then
return
end if
do k = 1, n - 2
nk1 = nm1 - k
do lb = 1, nk1
l = n - lb
l1 = l + 1
!
! Zero A(l+1,k).
!
s = abs ( a(l,k) ) + abs ( a(l1,k) )
if ( s /= 0.0D+00 ) then
u1 = a(l,k) / s
u2 = a(l1,k) / s
r = sign ( sqrt ( u1**2 + u2**2 ), u1 )
v1 = - ( u1 + r) / r
v2 = - u2 / r
u2 = v2 / v1
do j = k, n
t = a(l,j) + u2 * a(l1,j)
a(l,j) = a(l,j) + t * v1
a(l1,j) = a(l1,j) + t * v2
end do
a(l1,k) = 0.0D+00
do j = l, n
t = b(l,j) + u2 * b(l1,j)
b(l,j) = b(l,j) + t * v1
b(l1,j) = b(l1,j) + t * v2
end do
!
! Zero B(l+1,l).
!
s = abs ( b(l1,l1) ) + abs ( b(l1,l) )
if ( s /= 0.0 ) then
u1 = b(l1,l1) / s
u2 = b(l1,l) / s
r = sign ( sqrt ( u1**2 + u2**2 ), u1 )
v1 = -( u1 + r ) / r
v2 = -u2 / r
u2 = v2 / v1
do i = 1, l1
t = b(i,l1) + u2 * b(i,l)
b(i,l1) = b(i,l1) + t * v1
b(i,l) = b(i,l) + t * v2
end do
b(l1,l) = 0.0D+00
do i = 1, n
t = a(i,l1) + u2 * a(i,l)
a(i,l1) = a(i,l1) + t * v1
a(i,l) = a(i,l) + t * v2
end do
if ( matz ) then
do i = 1, n
t = z(i,l1) + u2 * z(i,l)
z(i,l1) = z(i,l1) + t * v1
z(i,l) = z(i,l) + t * v2
end do
end if
end if
end if
end do
end do
return
end
I would expand the allocation Process
integer :: status1, status2, status3, status4, status5
! check the allocation, returnvalue 0 means ok
ALLOCATE(ma(1:dimen,1:dimen), stat=status1)
ALLOCATE(tabm(1:dimen), stat=status2)
ALLOCATE(ga(1:dimen,1:dimen), stat=status3)
ALLOCATE(tabg(1:dimen), stat=status4)
ALLOCATE(zet(1:dimen,1:dimen), stat=status5)
And at the end of the Program deallocate all arrays, because, you maybe have no memoryleak now, but if you put this program into a subroutine and use it several time with big matricies during a programrun, the program could leak some serious memory.
....
DO i=1,dimen
tabg = ga(1:dimen,i)
WRITE (divg,*) tabg
END DO
CLOSE(divg)
DEALLOCATE(ma, stat=status1)
DEALLOCATE(tabm, stat=status2)
DEALLOCATE(ga, stat=status3)
DEALLOCATE(tabg, stat=status4)
DEALLOCATE(zet, stat=status5)
You can check again with the status integer, if the deallocation was ok, returnvalue again 0.
I am trying to run a stress autocorrelation function code to calculate the stress autocorrelation function,then from there I would like to calculate viscosity using Green -Kubo equation. Now the Fortran code I have does not read out my stress data in order to calculate stress auot-correlarion function. Anyone can please help me with this. I have attached my code and data I want to correlate. Hope to here from you soon.
Here is the error
./a.out
**** Program Stress_autocorrelation ****
Calculation of time Correlation Functions
Enter data file name
DFILE
Enter results file name
RFILE
0.00000000
0.00000000
0.00000000
0.00000000
0.00000000
0.00000000
0.00000000
0.00000000
At line 106 of file main.f95 (unit = 10, file = 'DFILE')
Fortran runtime error: Bad value during floating point read
Code and below is Input data:
! Program to claculate pressure autocorrelation function
program stress_autocorrelation
implicit none
common / block1 / STORA, STORB, STORC, STORD,STORE,STORF,STORG, STORH, STORI
common / block2 / PA, PB, PC, PD, PE, PF, PG, PH , PI
common / block3 / PACF, ANORM
! *******************************************************************
! ............ PRINCIPAL VARIABLES............
!
! ** integer N Number of atoms
! ** integer NSTEP Number of steps on the tape
! ** integer IOR Interval for time origins
! ** integer NT Correlation length, Including T=0
! ** integer NTIMOR Number of time origin
! ** integer NLABEL Label for step (1,2,3.....Nstep)
!
!
! ** real PACF(NT) The pressure correlation function
! ** NSTEP and NT should be multiples of IOR.
! ** PA,PB,PC = Pxx,Pxy,Pxz
! ** PD,PE,PF = Pyx,Pyy,Pyz
! ** PG,PH,PI = Pzx,Pzy,Pzz
!
!
! ...............ROUTINES REFERENCED..........................
!
! ....Subroutine Store (J1)..........
!Routine to store the data for correlation
! .....Subroutine Corr (J1,J2,IT).........
!Routine to correlate the stored time origin
!
!
! .....................USAGE..............................
!
! Data in file DFILE on fortrran UNIT DUNIT
! Results in File RFILE on fortran UNIT RUNIT
! *******************************************************************
integer N, NSTEP, IOR, NT, NDIM, DUNIT, RUNIT, NTIMOR
integer FULLUP
parameter ( N = 78, NSTEP = 10, IOR = 4, NT = 8 )
parameter ( DUNIT = 10, RUNIT = 11 )
parameter ( NDIM = NT / IOR + 1, NTIMOR = NSTEP / IOR )
parameter ( FULLUP = NDIM - 1 )
real PA(N), PB(N), PC(N), PD(N), PE(N), PF(N), PG(N), PH(N), PI(N)
real STORA(NDIM,N), STORB(NDIM,N), STORC(NDIM,N),STORD(NDIM,N), STORE(NDIM,N),STORF(NDIM,N),STORG(NDIM,N),STORH(NDIM,N)
real STORI(NDIM,N)
REAL PACF(NT), ANORM(NT)
integer S(NTIMOR), TM(NTIMOR)
integer TS, TSS, L, NINCOR, K, R, JA, IB, IN, IA, JO, I
integer NLABEL
character DUMMY * 5
character DFILE * 115
character RFILE * 115
! *******************************************************************
write(*,'('' **** Program Stress_autocorrelation **** '')')
write(*,'('' Calculation of time Correlation Functions '')')
!.....READ IN FILE NAMES.........
write(*,'('' Enter data file name'')')
read (*,'(A)') DFILE
write (*,'('' Enter results file name'')')
read (*,'(A)') RFILE
!......INITIALIZE COUNTERS.......
NINCOR = FULLUP
JA = 1
IA = 1
IB = 1
!........ZERO ARRAYS.............
do 5 I = 1, NT
PACF(I) = 0.0
ANORM(I) = 0.0
write(*,*) PACF(I)
5 continue
!..........OPEN DATA FILE AND RESULTS FILE...........
open ( UNIT = DUNIT, FILE = DFILE, STATUS = 'OLD', FORM = 'FORMATTED')
open ( UNIT = RUNIT, FILE = RFILE, STATUS = 'NEW' )
!.........CALCULATION BEGINS............
do 40 L = 1, NTIMOR
JA = JA + 1
S(L) = JA - 1
read ( DUNIT, '(A5,I4)') DUMMY, NLABEL
do 7 R = 1, N
read (DUNIT,'(F9.6,8(9X,F9.6))')PA(R),PB(R),PC(R),PD(R),PE(R),PF(R),PG(R),PH(R),PI(R)
7 continue
TM(L) = NLABEL
write(*,*) TM(L)
!.......STORE STEP AS A TIME ORIGIN......
call STOREE ( JA )
!........CORRELATE THE ORIGINS IN STORE......
do 10 IN = IA, L
TSS = TM(L) - TM(IN)
TS = TSS + 1
JO = S(IN) + 1
call CORR ( JO, JA, TS )
10 continue
!Read IN data between time origins. This can
!Be conveniently stored IN element 1 of the
!Array storx etc. and can then ben correlated
!With the time origins
do 30 K = 1, IOR - 1
read ( DUNIT, '(A5,I4)') DUMMY, NLABEL
do 15 R = 1, N
read ( DUNIT,'(F17.14,8(13X,F17.14))')PA(R),PB(R),PC(R),PD(R),PE(R),PF(R),PG(R),PH(R),PI(R)
15 continue
call STOREE ( 1 )
do 20 IN = IA, L
TSS = NLABEL - TM(IN)
TS = TSS + 1
JO = S(IN) + 1
call CORR ( JO, 1, TS )
20 continue
30 continue
if ( L .GE. FULLUP ) then
if ( L .EQ. NINCOR ) then
NINCOR = NINCOR + FULLUP
JA = 1
endif
IA = IA + 1
endif
40 continue
close ( DUNIT )
!.....NORMALISE CORRELATION FUNCTIONS.......
PACF(1) = PACF(1) / ANORM(1) / REAL ( N )
do 50 I = 2, NT
PACF(I) = PACF(I) / ANORM(I) / REAL ( N ) / PACF(1)
50 continue
write ( RUNIT, '('' Pressure ACF '')')
write ( RUNIT, '(I6,E15.6)') ( I, PACF(I), I = 1, NT )
close ( RUNIT )
stop
end
subroutine STOREE ( J1 )
common / BLOCK1 / STORA, STORB, STORC, STORD,STORE,STORF,STORG,STORH,STORI
common/ BLOCK2 / PA, PB, PC, PD, PE, PF, PG, PH, PI
! *******************************************************************
!.........SUBROUTINE TO STORE TIME ORIGINS..............
! *******************************************************************
integer J1
integer N, NT, IOR, NDIM
parameter ( N = 78, NT = 8, IOR =4 )
parameter ( NDIM = NT / IOR + 1 )
real STORA(NDIM,N), STORB(NDIM,N), STORC(NDIM,N),STORD(NDIM,N)
real STORE(NDIM,N),STORF(NDIM,N),STORG(NDIM,N),STORH(NDIM,N),STORI(NDIM,N)
real PA(N), PB(N), PC(N), PD(N), PE(N), PF(N),PG(N), PH(N), PI(N)
integer I
do 10 I = 1, N
STORA(J1,I) = PA(I)
STORB(J1,I) = PB(I)
STORC(J1,I) = PC(I)
STORD(J1,I) = PD(I)
STORE(J1,I) = PE(I)
STORF(J1,I) = PF(I)
STORG(J1,I) = PG(I)
STORH(J1,I) = PH(I)
STORI(J1,I) = PI(I)
10 continue
return
end
subroutine CORR ( J1, J2, IT )
common / block1 / STORA, STORB, STORC, STORD,STORE,STORF,STORG,STORH,STORI
common/ block3 / PACF, ANORM
! *******************************************************************
!......SUBROUTINE TO CORRELATE TIME ORIGINS....
! *******************************************************************
integer J1, J2, IT
integer N, NT, IOR, NDIM
parameter ( N = 78, NT = 8, IOR = 4 )
parameter ( NDIM = NT / IOR + 1 )
real STORA(NDIM,N), STORB(NDIM,N), STORC(NDIM,N),STORD(NDIM,N)
real STORE(NDIM,N),STORF(NDIM,N),STORG(NDIM,N),STORH(NDIM,N),STORI(NDIM,N)
real PACF(NT), ANORM(NT)
integer I
!********************************************************************
do 10 I = 1, N
PACF(IT) = PACF(IT) + STORA(J1,I) * STORA(J2,I) &
+ STORB(J1,I) * STORB(J2,I) &
+ STORC(J1,I) * STORC(J2,I) &
+ STORD(J1,I) * STORD(J2,I) &
+ STORE(J1,I) * STORE(J2,I) &
+ STORF(J1,I) * STORF(J2,I) &
+ STORG(J1,I) * STORG(J2,I) &
+ STORH(J1,I) * STORH(J2,I) &
+ STORI(J1,I) * STORI(J2,I)
10 continue
ANORM(IT) = ANORM(IT) + 1.0
return
end
Data: has 9 columns
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-3.544260E+00 4.254020E+00 -1.963602E+00 4.254020E+00 3.740858E+00 -4.587760E+00 -1.963602E+00 -4.587760E+00 -6.776258E+00
1.755595E-01 -9.625855E-01 -2.395960E+00 -9.625855E-01 -1.701399E+00 -8.483695E-01 -2.395960E+00 -8.483695E-01 -4.165223E+00
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