program main c*********************************************************************72 c cc ornstein_uhlenbeck_test() tests ornstein_uhlenbeck(). c c Licensing: c c This code is distributed under the MIT license. c c Modified: c c 21 January 2013 c c Author: c c John Burkardt c implicit none call timestamp ( ) write ( *, '(a)') ' ' write ( *, '(a)' ) 'ornstein_uhlenbeck_test():' write ( *, '(a)' ) ' FORTRAN77 version.' write ( *, '(a)' ) ' Test ornstein_uhlenbeck().' call ornstein_uhlenbeck_euler_test ( ) call ornstein_uhlenbeck_euler_maruyama_test ( ) c c Terminate. c write ( *, '(a)' ) '' write ( *, '(a)' ) 'ornstein_uhlenbeck_test():' write ( *, '(a)' ) ' Normal end of execution.' write ( *, '(a)' ) '' call timestamp ( ) stop end subroutine ornstein_uhlenbeck_euler_test ( ) c*********************************************************************72 c cc ornstein_uhlenbeck_euler_test() tests ornstein_uhlenbeck_euler(). c c Licensing: c c This code is distributed under the MIT license. c c Modified: c c 21 January 2013 c c Author: c c John Burkardt c implicit none double precision mu integer n integer seed double precision sigma double precision theta double precision tmax double precision x0 write ( *, '(a)' ) '' write ( *, '(a)' ) 'ornstein_uhlenbeck_euiler_test():' write ( *, '(a)' ) & ' Estimate a solution to the Ornstein-Uhlenbeck equation with' write ( *, '(a)' ) & ' the Euler method for stochastic differential equations.' write ( *, '(a)' ) '' theta = 2.0D+00 write ( *, '(a,g14.6)' ) ' Using decay rate THETA = ', theta mu = 1.0D+00 write ( *, '(a,g14.6)' ) ' Using mean MU = ', mu sigma = 0.15D+00 write ( *, '(a,g14.6)' ) ' Using variance SIGMA = ', sigma x0 = 2.0D+00 write ( *, '(a,g14.6)' ) ' Using initial value X0 = ', x0 tmax = 3.0D+00 write ( *, '(a,g14.6)' ) ' Using final time TMAX = ', tmax n = 10000 write ( *, '(a,i8)' ) ' Using number of timesteps N = ', n seed = 123456789 write ( *, '(a,i12)' ) ' Using value of random SEED = ', seed call ornstein_uhlenbeck_euler ( theta, mu, sigma, x0, & tmax, n, seed ) return end subroutine ornstein_uhlenbeck_euler_maruyama_test ( ) c*********************************************************************72 c cc ornstein_uhlenbeck_euler_maruyama_test() tests ornstein_uhlenbeck_euler_maruyama(). c c Licensing: c c This code is distributed under the MIT license. c c Modified: c c 21 January 2013 c c Author: c c John Burkardt c implicit none double precision mu integer n integer r integer seed double precision sigma double precision theta double precision tmax double precision x0 write ( *, '(a)' ) '' write ( *, '(a)' ) 'ornstein_uhlenbeck_euler_maruyama_test():' write ( *, '(a)' ) & ' Estimate a solution to the Ornstein-Uhlenbeck equation' write ( *, '(a)' ) & ' using the Euler-Maruyama method for stochastic ' write ( *, '(a)' ) ' differential equations.' write ( *, '(a)' ) '' theta = 2.0D+00 write ( *, '(a,g14.6)' ) ' Using decay rate THETA = ', theta mu = 1.0D+00 write ( *, '(a,g14.6)' ) ' Using mean MU = ', mu sigma = 0.15D+00 write ( *, '(a,g14.6)' ) ' Using variance SIGMA = ', sigma x0 = 2.0D+00 write ( *, '(a,g14.6)' ) ' Using initial value X0 = ', x0 tmax = 3.0D+00 write ( *, '(a,g14.6)' ) ' Using final time TMAX = ', tmax n = 10000 write ( *, '(a,i6)' ) ' Using number of large timesteps N = ', n r = 16 write ( *, '(a,i6)' ) & ' Using small time steps per one large time step R = ', r seed = 123456789 write ( *, '(a,i12)' ) ' Using value of random SEED = ', seed call ornstein_uhlenbeck_euler_maruyama ( theta, mu, sigma, x0, & tmax, n, r, seed ) return end