! ! N x N Jacobian (df_i/dx_j for i,j=1,...,N) !----------------------------------------------------------------------- subroutine fdjac_nn_func(funcv,x,fjac,ml,mu,epsfcn) interface function funcv(x) real(8),dimension(:),intent(in) :: x real(8),dimension(size(x)) :: funcv end function funcv end interface integer :: n real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec(size(x)) real(8) :: fjac(size(x),size(x)) integer,optional :: ml, mu real(8),optional :: epsfcn integer :: ml_,mu_,msum real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1(size(x)) real(8) :: wa2(size(x)) integer :: i,j,k n=size(x) x_ = x ml_ = n-1 ; if(present(ml))ml_=ml mu_ = n-1 ; if(present(mu))mu_=mu eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) msum = ml_ + mu_ + 1 ! Evaluate the function fvec = funcv(x_) ! Computation of dense approximate jacobian. if(n <= msum)then do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h wa1 = funcv(x_) x_(j) = temp fjac(1:n,j) = ( wa1(1:n) - fvec(1:n) )/h enddo else ! Computation of banded approximate jacobian. do k=1,msum do j=k,n,msum wa2(j) = x_(j) h = eps*abs(wa2(j)) if(h==0.d0)h = eps x_(j) = wa2(j) + h end do wa1 = funcv(x_) do j=k,n,msum x_(j) = wa2(j) h = eps*abs(wa2(j)) if(h==0.d0)h = eps enddo fjac(1:n,j)=0.d0 do i=1,n if( (j-mu_<=i).AND.(i<=j+ml_) )then fjac(i,j) = ( wa1(i) - fvec(i) )/h end if end do end do end if return end subroutine fdjac_nn_func subroutine fdjac_nn_sub(funcv,x,fjac,ml,mu,epsfcn) interface subroutine funcv(x,y) real(8),dimension(:),intent(in) :: x real(8),dimension(size(x)) :: y end subroutine funcv end interface integer :: n real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec(size(x)) real(8) :: fjac(size(x),size(x)) integer,optional :: ml, mu real(8),optional :: epsfcn integer :: ml_,mu_,msum real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1(size(x)) real(8) :: wa2(size(x)) integer :: i,j,k n=size(x) x_ = x ml_ = n-1 ; if(present(ml))ml_=ml mu_ = n-1 ; if(present(mu))mu_=mu eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) msum = ml_ + mu_ + 1 ! Evaluate the function call funcv(x_,fvec) ! Computation of dense approximate jacobian. if(n <= msum)then do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h call funcv(x_,wa1) x_(j) = temp fjac(1:n,j) = ( wa1(1:n) - fvec(1:n) )/h enddo else ! Computation of banded approximate jacobian. do k=1,msum do j=k,n,msum wa2(j) = x_(j) h = eps*abs(wa2(j)) if(h==0.d0)h = eps x_(j) = wa2(j) + h end do call funcv(x_,wa1) do j=k,n,msum x_(j) = wa2(j) h = eps*abs(wa2(j)) if(h==0.d0)h = eps enddo fjac(1:n,j)=0.d0 do i=1,n if( (j-mu_<=i).AND.(i<=j+ml_) )then fjac(i,j) = ( wa1(i) - fvec(i) )/h end if end do end do end if return end subroutine fdjac_nn_sub function f_jac_nn_func(funcv,x) result(df) interface function funcv(x) real(8), dimension(:),intent(in) :: x real(8), dimension(size(x)) :: funcv end function funcv end interface real(8),intent(in) :: x(:) real(8), dimension(size(x),size(x)) :: df call fdjac_nn_func(funcv,x,df) end function f_jac_nn_func function f_jac_nn_sub(funcv,x) result(df) interface subroutine funcv(x,y) real(8), dimension(:),intent(in) :: x real(8), dimension(size(x)) :: y end subroutine funcv end interface real(8), dimension(:), intent(in) :: x real(8), dimension(size(x),size(x)) :: df call fdjac_nn_sub(funcv,x,df) end function f_jac_nn_sub ! ! M x N Jacobian (df_i/dx_j for i=1,...,M;j=1,...,N) !----------------------------------------------------------------------- subroutine fdjac_mn_func(funcv,x,m,fjac,epsfcn) implicit none interface function funcv(x,m) real(8),dimension(:),intent(in) :: x integer :: m real(8),dimension(m) :: funcv end function funcv end interface integer :: n integer :: m real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec(m) real(8) :: fjac(m,size(x)) real(8),optional :: epsfcn real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1(m) real(8) :: wa2(m) integer :: i,j,k n = size(x) x_ = x eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) fvec = funcv(x_,m) do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h wa1 = funcv(x_,m) x_(j) = temp fjac(1:m,j) = (wa1(1:m) - fvec(1:m))/h enddo end subroutine fdjac_mn_func subroutine fdjac_mn_sub(funcv,x,m,fjac,epsfcn) implicit none interface subroutine funcv(x,m,y) implicit none integer :: m real(8),dimension(:),intent(in) :: x real(8),dimension(m) :: y end subroutine funcv end interface integer :: n integer :: m real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec(m) real(8) :: fjac(m,size(x)) real(8),optional :: epsfcn real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1(m) real(8) :: wa2(m) integer :: i,j,k n=size(x) x_ = x eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) call funcv(x_,m,fvec) do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h call funcv(x_,m,wa1) x_(j) = temp fjac(1:m,j) = (wa1(1:m) - fvec(1:m))/h enddo end subroutine fdjac_mn_sub function f_jac_mn_func(funcv,x,m) result(df) interface function funcv(x,m) real(8),dimension(:),intent(in) :: x integer :: m real(8),dimension(m) :: funcv end function funcv end interface integer :: n,m real(8), dimension(:), intent(in) :: x real(8), dimension(m,size(x)) :: df call fdjac_mn_func(funcv,x,m,df) end function f_jac_mn_func function f_jac_mn_sub(funcv,x,m) result(df) interface subroutine funcv(x,m,y) implicit none integer :: m real(8), dimension(:),intent(in) :: x real(8), dimension(m) :: y end subroutine funcv end interface integer :: m real(8), dimension(:), intent(in) :: x real(8), dimension(m,size(x)) :: df call fdjac_mn_sub(funcv,x,m,df) end function f_jac_mn_sub ! ! 1 x N Jacobian (df_i/dx_j for i=1;j=1,...,N) !----------------------------------------------------------------------- subroutine fdjac_1n_func(funcv,x,fjac,epsfcn) implicit none interface function funcv(x) implicit none real(8),dimension(:),intent(in) :: x real(8) :: funcv end function funcv end interface integer :: n real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec real(8) :: fjac(size(x)) real(8),optional :: epsfcn real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1 real(8) :: wa2 integer :: i,j,k n=size(x) x_ = x eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) ! Evaluate the function fvec = funcv(x_) do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h wa1 = funcv(x_) x_(j) = temp fjac(j) = (wa1 - fvec)/h enddo end subroutine fdjac_1n_func subroutine fdjac_1n_sub(funcv,x,fjac,epsfcn) interface subroutine funcv(x,y) real(8),dimension(:),intent(in) :: x real(8) :: y end subroutine funcv end interface integer :: n real(8),intent(in) :: x(:) real(8) :: x_(size(x)) real(8) :: fvec real(8) :: fjac(size(x)) real(8),optional :: epsfcn real(8) :: eps,eps_ real(8) :: epsmch real(8) :: h,temp real(8) :: wa1 real(8) :: wa2 integer :: i,j,k n=size(x) x_ = x eps_= 0.d0; if(present(epsfcn))eps_=epsfcn epsmch = epsilon(epsmch) eps = sqrt(max(eps_,epsmch)) ! Evaluate the function call funcv(x_,fvec) ! Computation of dense approximate jacobian. do j=1,n temp = x_(j) h = eps*abs(temp) if(h==0.d0) h = eps x_(j) = temp + h call funcv(x_,wa1) x_(j) = temp fjac(j) = (wa1-fvec)/h enddo return end subroutine fdjac_1n_sub function f_jac_1n_func(funcv,x) result(df) interface function funcv(x) real(8),dimension(:),intent(in) :: x real(8) :: funcv end function funcv end interface real(8), dimension(:), intent(in) :: x real(8), dimension(size(x)) :: df call fdjac_1n_func(funcv,x,df) end function f_jac_1n_func function f_jac_1n_sub(funcv,x) result(df) interface subroutine funcv(x,y) real(8), dimension(:),intent(in) :: x real(8) :: y end subroutine funcv end interface real(8), dimension(:), intent(in) :: x real(8), dimension(size(x)) :: df call fdjac_1n_sub(funcv,x,df) end function f_jac_1n_sub