i'm doing this programming project about aedes (the mosquito) dispersal.
it involves 2 differential equation. 1 to be solve with runge kutta and the other with finite difference method.

i think managed to solve the runge-kutta algorithm as it was pretty simple.
but the finite difference lost me. i managed to get finite difference model equation. however getting/setting the border condition i have no idea.

i only learned university level calculus. so this is beyond me.

you can get the journal here
Aedes aegypti dispersal.pdf

the 3 main funtions i did in c++

double f(double Axt, double Mxt, double r, double k2, double u2)         /* Definition of A(x,t) with M(x,t) carry in as parameter*/
                    double function;
                    function = (r*(1-(Axt/k2))*Mxt)-(u2+gamma)*Axt;

 double m(double Axt, double Mxt, double m1,double m2, double m3, double t, double x, double D, double v, double k1, double gamma, double u1)         /* Definition of M(x,t) after explicit finite difference with A(x,t) carry in as parameter*/
                    double function1,function2,function3,function4,final;
                    function1 = (((t*D)/(x*x))-(t/x)*v*Mxt)*m1;
                    function2 = (1-((2*t*D)/(x*x)))+(((t/x)*(v*Mxt))*m2);
                    function3 = ((t*D)/(x*x))*m3;
                    function4 = ((gamma*t*Axt)*(1-(Mxt/k1)))-(t*u1*Mxt);
                    final = function1+function2+function3+function4;

 double Axt_runged (double Axt, double Mxt)    // runge kutta A(x,t)

                    int N=100;
                    int i=0;
                    double t, y;
                    double a=0,b=1;          // Initial values
                    double h=(b-a)/N;            // Step size
                    double k1,k2,k3,k4;


                     while (i <= N)
                         k1=h*f(t,y, r,k2,u2);
                         y=y+(k1+2*k2+2*k3+k4)/6;   // Linear approximation to 
                         i++;                          // Increments counter k by 1
                         t=t+h;                        // Increments t by the step size