module my_function10 use kinds implicit none contains function F3(x) result(F_val) real(rk), dimension(:), intent(in) :: x real(rk), dimension(:), allocatable :: F_val allocate(F_val(2)) F_val(1) = 2.0_rk*x(1) - 400.0_rk*x(1) * (x(2) - x(1)**2) - 2.0_rk F_val(2) = 200.0_rk*x(2) - 200.0_rk*x(1)**2 end function F3 function dF3dx(x) result(dFdx_val) real(rk), dimension(:), intent(in) :: x real(rk), dimension(:,:), allocatable :: dFdx_val allocate(dFdx_val(2,2)) dFdx_val(1,1) = 1200.0_rk*x(1)**2 - 400.0_rk*x(2) + 2.0_rk dFdx_val(1,2) = - 400.0_rk*x(1) dFdx_val(2,1) = - 400.0_rk*x(1) dFdx_val(2,2) = 200.0_rk end function dF3dx end module my_function10 program test_solver10 use forsolver use my_function10 use forunittest implicit none type(nlsolver) :: nls real(rk), dimension(2) :: x, expected_x type(unit_test) :: ut call nls%set_options(& nl_method = 'newton-modified',& nmp = 1,& maxit = 100,& TolFun = 1e-15_rk,& verbosity = 0) call nls%solve(F=F3, dFdx=dF3dx, x0=[0.95_rk,0.95_rk], x_sol=x) ! check if solution is close to [1,1] expected_x = [1.0_rk,1.0_rk] call ut%check(x, expected_x, 1.0e-5_rk, 'test_solver10' ) end program test_solver10