29 March 2023   6:49:03.728 AM
 
ornstein_uhlenbeck_test():
  FORTRAN90 version.
  Test ornstein_uhlenbeck().

OU_EULER_TEST:
  Estimate a solution to the Ornstein-Uhlenbeck equation
  using the Euler method for stochastic differential equations.

  Using decay rate THETA =    2.00000    
  Using mean MU =    1.00000    
  Using variance SIGMA =   0.150000    
  Using initial value X0 =    2.00000    
  Using final time TMAX =    3.00000    
  Using number of timesteps N =    10000

OU_EULER:
  FORTRAN90 version
  Use an Euler method to approximate the solution of
  the Ornstein-Uhlenbeck stochastic differential equation:

    d x(t) = theta * ( mu - x(t) ) dt + sigma dW

  with initial condition x(0) = x0.
  Created data file "ou_euler_data.txt".
  Created command file "ou_euler_commands.txt".

OU_EULER_MARUYAMA_TEST:
  Estimate a solution to the Ornstein-Uhlenbeck equation
  using the Euler-Maruyama method for stochastic 
  differential equations.

  Using decay rate THETA =    2.00000    
  Using mean MU =    1.00000    
  Using variance SIGMA =   0.150000    
  Using initial value X0 =    2.00000    
  Using final time TMAX =    3.00000    
  Using number of large timesteps N =  10000
  Using number small time steps per one large time step R =     16

OU_EULER_MARUYAMA:
  FORTRAN90 version
  Use an Euler-Maruyama method to approximate the solution of
  the Ornstein-Uhlenbeck stochastic differential equation:

    d x(t) = theta * ( mu - x(t) ) dt + sigma dW

  with initial condition x(0) = x0.
  Created data file "ou_euler_maruyama_data.txt".
  Created command file "ou_euler_maruyama_commands.txt".

ornstein_uhlenbeck_test:
  Normal end of execution.

29 March 2023   6:49:03.761 AM