	**************************************************
    *                      *                         *
	*            *Sim.DiffProcGUI 2.1 NEWS*          *
    *                    USTHB                       *              
	*                  2011-11-18                    *
	**************************************************


		CHANGES IN Sim.DiffProc VERSION 2.1


NEW FEATURES

Numerical Methods :

    o A new function snssde3D of simulation numerical solutions 
  stochastic differential equations three-dimensional.
    o A new function PredCorr3D Predictor-Corrector method for simulation
  three-dimensional stochastic differential equation.

Approximate The Transition Density for Diffusion Process : 
   
    o A new function "Appdcon" approximated the evolution conditional law a 
  diffusion process by Euler method, Kessler s'methods and Shoji-Ozaki methods.	




	**************************************************
    *                      *                         *
	*            *Sim.DiffProcGUI 2.0 NEWS*          *
    *                    USTHB                       *
	*                  2011-02-09                    * 
	**************************************************


		CHANGES IN Sim.DiffProc VERSION 2.0


NEW FEATURES

Brownian Motion :

    o A new functions BMN2D and BMRW2D for simulation two-dimensional brownian motion 
  by Normal law and Random Walk.
    o A new functions BMN3D and BMRW3D for simulation three-dimensional brownian motion 
  by Normal law and Random Walk.

Numerical Methods :

    o A new function snssde2D of simulation numerical solutions 
  stochastic differential equations two-dimensional.
    o A new function PredCorr2D Predictor-Corrector method for simulation
  two-dimensional stochastic differential equation.

Attractive Model(S,Sigma) :

    o A new functions RadialP_1 (S=1) and RadialP_2 (S>=2) for simulation 
  the attractive models (Radial Process).
    o A new functions RadialP2D_1PC (S=1) and RadialP2D_2PC (S>=2) for simulation 
  two-dimensional attractive model in polar coordinates.
    o A new functions RadialP2D_1 (S=1) and RadialP2D_2 (S>=2) for simulation
  two-dimensional attractive model.
    o A new functions RadialP3D_1 (S=1) and RadialP3D_2 (S>=2) for simulation
  three-dimensional attractive model.
    o A new functions tho_M1 (S=1) and tho_M2 (S>=2) for simulation the first 
  passage time FPT for attractive model.
  
Attractive Model for two-Diffusion Processes :

    o A new function towDiffAtra2D for simulation two-dimensional attractive model 
  for two-diffusion processes V(1) and V(2).
    o A new function towDiffAtra3D for simulation three-dimensional attractive model 
  for two-diffusion processes V(1) and V(2).
    o A new function tho_02diff for simulation the first passage time FPT for
  attractive model for two-diffusion processes V(1) and V(2).
  
Statistical Analysis for Diffusion Process :

    o A new function AnaSimFPT for simulation the first passage time FPT for a
  simulated diffusion process.
    o A new function AnaSimX for simulation M-samples of random variable X(v[t])
  for a simulated diffusion process.
    o A new functions to estimate and adjusts (different distribution) the first 
  passage time FPT and M-samples of random variable X(v[t]) for a simulated 
  diffusion process :
    oo Ajdbeta,Ajdchisq,Ajdexp,Ajdf,Ajdgamma,Ajdlognorm,Ajdnorm,Ajdt,Ajdweibull.
    oo fctgeneral   : Adjustment the Empirical Distribution.
    oo hist_general : Adjustment the Density of Random Variable X by
                      Histograms Methods.
    oo Kern_general : Adjustment the Density of Random Variable by
                      Kernel Methods.
    oo fctrep_Meth  : calculating the empirical distribution.
    oo Kern_meth    : Kernel Density.
    oo hist_meth    : Histograms.
    oo Kolmogorov-Smirnov Tests (test_ks_dbeta,test_ks_dchisq,test_ks_dexp,test_ks_df,test_ks_dgamma,
	   test_ks_dlognorm,test_ks_dnorm,test_ks_dt,test_ks_dweibull).

new Demos :

    o demo(BM2D)
    o demo(BM3D)
    o demo(sim.sde2D)
    o demo(Attra2D)
    o demo(Attra3D)
    o demo(TwoAttra2D)
    o demo(TwoAttra3D)



