/**************************************************************************
* FRACTALS: THE VERHULST DIAGRAM *
* ----------------------------------------------------------------------- *
* TUTORIAL: *
* *
* The dynamic process that allows to very simply simulate "chaos" has the *
* following mathematical form: *
* x = f (x , C ). *
* n+1 n *
* The only condition is that the relation between input x n and output *
* x n+1 be non linear. If this iterative process starts with an arbitrary *
* value x0, it will give a series of values: x1, x2,...,x n... The long *
* term behaviour of this series is interesting. *
* *
* Let us consider the classical example of the growth of a population over*
* several years. Let be an initial population x0 which after n years has *
* become x n. The growth ratio is: *
* r = ( x n+1 - x n ) / x n. *
* If this ratio remains constant, the dynamic law is: *
* *
* x n+1 = ( 1 + r ) x n *
* *
* After n years, the population will be: x n = ( 1 + r ) x0. *
* *
* To clarify the situation, let us consider the case where x0 = 0,001. *
* If the growth ratio equals 5%, the population will roughly double *
* every 15 years. As a matter of fact: *
* *
* x0 = 0,001 x1 = 0,00105 x2 = 0,0011025 *
* x3 = 0,00115763 x4 = 0,00121551 x5 = 0,00127628 *
* x6 = 0,00134010 x7 = 0,00140710 x8 = 0,00147746 *
* x9 = 0,00155133 x10 = 0,00162889 x11 = 0,00171034 *
* x12 = 0,00179586 x13 = 0,00188565 x14 = 0,00197993 *
* x15 = 0,00207893 ... *
* *
* This kind of growth is exponential. But this dynamic law is linear, *
* which is not judicious. Actually, the real growth of a poulation is *
* necessarily limited by the ressources of its habitat, which are not in *
* infinite quantity, such as food, for example. The belgian Verhulst was *
* one of the first to study this phenomenon in 1845. *
* He advised to consider a variable growth ratio r, taking the form *
* r = r - C x n. The dynamic law of growth then takes the form: *
* *
* x n+1 = ( 1 + r ) x n - C x² n *
* *
* By having C = r / X, the population increases up to the value X, then *
* stabilizes at this value. At least, this remains true so long as the *
* growth ratio is < 200 %. A human population has never such a high growth*
* ratio, but in the case of insects, for example, this can be quite *
* possible. For a growth ratio even higher, one can observe surprising *
* results (see verhulst.pas program). *
* *
* The calculation begins at x0 = 0,1 X. *
* *
* Case r = 1.8 *
* *
* The response curve climbs up rapidly and after some oscillations reaches*
* a limit that is an "attractor". *
* *
* Case r = 2.3 *
* *
* The curve oscilates rapidly between two levels that frame the value X. *
* The suite has two attractors. *
* *
* Case r = 2.5 *
* *
* The suite has four attractors. *
* *
* Case r = 3.0 *
* *
* The numbers x jump from one value to another one, without having twice *
* the same value. Such a behaviour can be qualified as "chaotic". *
* *
* See also program chaos.pas (Feigenbaum diagram). *
* *
* ----------------------------------------------------------------------- *
* From "Graphisme dans le plan et dans l'espace avec Turbo Pascal 4.0 *
* By R. Dony - MASSON, Paris 1990, page 189" [BIBLI 12]. *
* *
* Microsoft C++ version in API style by J-P Moreau, Paris *
* (Program to use with Verhulst.mak and Gr2D.cpp) *
* (www.jpmoreau.fr) *
**************************************************************************/
#include
#include
#include
HDC hdc;
RECT rect;
//Functions of module Gr2D.cpp
void Fenetre(double,double,double,double);
void Cloture(int,int,int,int);
void Bordure();
void Axes();
void Gradue(double,double);
void Grille(double,double);
void MoveXY(double,double);
void LineXY(double,double);
//"home made" graphic commands for hdc environment used by above functions
void DrawPixel(int ix,int iy) {
//sorry, no other available command found
Rectangle(hdc,rect.left+ix,rect.top+iy,
rect.left+ix+2,rect.top+iy+1);
}
void Swap(int *i1,int *i2) {
int it;
it=*i1; *i1=*i2; *i2=it;
}
void DrawLine(int ix1,int iy1,int ix2,int iy2) {
int i,il,ix,iy;
float dx,dy;
if (ix2