! D01TB_A1W_F Example Program Text
! Mark 28.7 Release. NAG Copyright 2022.
Module d01tb_a1w_fe_mod
! .. Use Statements ..
Use iso_c_binding, Only: c_ptr
Use nagad_library, Only: exp, nagad_a1w_w_rtype, Assignment (=), &
Operator (/), Operator (**), Operator (+), &
Operator (-), Operator (*)
Use nag_library, Only: nag_wp
! .. Implicit None Statement ..
Implicit None
! .. Accessibility Statements ..
Private
Public :: f
! .. Parameters ..
Integer, Parameter, Public :: ndim = 4, nout = 6
Contains
Subroutine f(ad_handle,ndim,x,ret,iuser,ruser)
! .. Scalar Arguments ..
Type (c_ptr), Intent (Inout) :: ad_handle
Type (nagad_a1w_w_rtype), Intent (Out) :: ret
Integer, Intent (In) :: ndim
! .. Array Arguments ..
Type (nagad_a1w_w_rtype), Intent (Inout) :: ruser(*)
Type (nagad_a1w_w_rtype), Intent (In) :: x(ndim)
Integer, Intent (Inout) :: iuser(*)
! .. Executable Statements ..
ret = (x(1)*x(2)*x(3))**6/(x(4)+2.0E0_nag_wp)**8* &
exp(-2.0_nag_wp*x(2)-0.5_nag_wp*x(3)*x(3))
Return
End Subroutine f
End Module d01tb_a1w_fe_mod
Program d01tb_a1w_fe
! D01TB_A1W_F Example Main Program
! .. Use Statements ..
Use d01tb_a1w_fe_mod, Only: f, ndim, nout
Use iso_c_binding, Only: c_ptr
Use nagad_library, Only: d01fb_a1w_f, d01tb_a1w_f, &
nagad_a1w_get_derivative, &
nagad_a1w_inc_derivative, &
nagad_a1w_ir_create => x10za_a1w_f, &
nagad_a1w_ir_interpret_adjoint_sparse, &
nagad_a1w_ir_register_variable, &
nagad_a1w_ir_remove, nagad_a1w_w_rtype, &
x10aa_a1w_f, x10ab_a1w_f, Assignment (=)
Use nag_library, Only: nag_wp
! .. Implicit None Statement ..
Implicit None
! .. Local Scalars ..
Type (nagad_a1w_w_rtype) :: a, ans, b
Type (c_ptr) :: ad_handle
Integer :: i, ifail, j, k, lwa
! .. Local Arrays ..
Type (nagad_a1w_w_rtype), Allocatable :: abscis(:), weight(:)
Type (nagad_a1w_w_rtype) :: ruser(1)
Real (Kind=nag_wp), Allocatable :: da(:), dw(:)
Integer :: iuser(1), nptvec(ndim)
! .. Intrinsic Procedures ..
Intrinsic :: sum
! .. Executable Statements ..
Write (nout,*) 'D01TB_A1W_F Example Program Results'
nptvec(1:ndim) = (/4,4,4,4/)
lwa = sum(nptvec(1:ndim))
Allocate (abscis(lwa),weight(lwa),da(lwa),dw(lwa))
j = 1
! Create AD tape
Call nagad_a1w_ir_create
! Create AD configuration data object
ifail = 0
Call x10aa_a1w_f(ad_handle,ifail)
! Evaluate weights and abscisae in each dimension
Do i = 1, 4
ifail = 0
Select Case (i)
Case (1)
a = 1.0E0_nag_wp
b = 2.0E0_nag_wp
Call d01tb_a1w_f(ad_handle,0,a,b,nptvec(i),weight(j),abscis(j), &
ifail)
Case (2)
a = 0.0E0_nag_wp
b = 2.0E0_nag_wp
Call d01tb_a1w_f(ad_handle,-3,a,b,nptvec(i),weight(j),abscis(j), &
ifail)
Case (3)
a = 0.0E0_nag_wp
b = 0.5E0_nag_wp
Call d01tb_a1w_f(ad_handle,-4,a,b,nptvec(i),weight(j),abscis(j), &
ifail)
Case (4)
a = 1.0E0_nag_wp
b = 2.0E0_nag_wp
Call d01tb_a1w_f(ad_handle,-5,a,b,nptvec(i),weight(j),abscis(j), &
ifail)
End Select
j = j + nptvec(i)
End Do
! Register variables to differentiate w.r.t.
Call nagad_a1w_ir_register_variable(weight)
Call nagad_a1w_ir_register_variable(abscis)
! Call the AD routine
ifail = 0
Call d01fb_a1w_f(ad_handle,ndim,nptvec,lwa,weight,abscis,f,ans,iuser, &
ruser,ifail)
Call nagad_a1w_inc_derivative(ans,1.0E0_nag_wp)
Call nagad_a1w_ir_interpret_adjoint_sparse(ifail)
Write (nout,*)
Write (nout,*) ' Derivatives calculated: First order adjoints'
Write (nout,*) ' Computational mode : algorithmic'
! Get derivatives
dw(1:lwa) = nagad_a1w_get_derivative(weight)
da(1:lwa) = nagad_a1w_get_derivative(abscis)
Write (nout,*)
Write (nout,99999) ' Solution, x =', ans%value
Write (nout,*) ' Derivatives:'
Write (nout,*) ' dim j d/dweight d/dabscis'
j = 0
Do i = 1, 4
j = j + 1
Write (nout,99998) i, 1, dw(j), da(j)
Do k = 2, nptvec(i)
j = j + 1
Write (nout,99997) k, dw(j), da(j)
End Do
End Do
99999 Format (1X,A,1X,F12.5)
99998 Format (1X,I3,1X,I3,1X,E12.5,1X,E12.5)
99997 Format (6X,I2,1X,E12.5,1X,E12.5)
! Remove computational data object and tape
ifail = 0
Call x10ab_a1w_f(ad_handle,ifail)
Call nagad_a1w_ir_remove
End Program d01tb_a1w_fe