Scilab Function

bifish - shows a bifurcation diagram in a fish population discrete time model

### Sequence d'appel

  `bifish([f_ch])`

### Parametres

- `f_ch` : can be one of `fish`, `fishr` and `fishr2`. This option selects the population model.

### Description

The dynamical system `fish` is the following :

               y=b*exp(-0.1*(x(k)_1+x(k)_2));
               x(k+1)=[ y 2*y ; s 0.0]*x(k);

and the parameters `s` evolves to show the bifurcation diagram. `fishr` and `fishr2` are constructed as above but with added white noises.

     fishr
     y=b*exp(-0.1*(xk(1)+xk(2)))
     xkp1=[ y 2*y ; s*(1+0.1*(rand()-0.5)) 0.0]*xk

     fishr2
     z=exp(-0.1*(xk(1)+xk(2)))
     xkp1=[ b*z**(1+0.1*(rand()-0.5)) 2*b*z**(1+0.1*(rand()-0.5)) ; s 0.0]*xk

The three macros `fish, fishr, fishr2` are loaded in Scilab when calling `bifish`.

### Voir aussi

`ode`