15 July 2024 09:26:59 PM

midpoint_adaptive_test():
  C++ version
  midpoint_adaptive() solves ODE's using an adaptive
  version of the midpoint method.

lotka_test():
  A pair of ordinary differential equations for a population
  of predators and prey are solved using midpoint().

  Steady state at r = 5000, f = 2000.

  Graphics data stored in 'lotka_phase_data.txt'.
  Plot commands stored in 'lotka_phase_commands.txt'

  Solution data stored in 'lotka_solution_data.txt'.
  Solution plot commands stored in 'lotka_solution_commands.txt'.

  Time step data stored in 'lotka_timestamp_data.txt'.
  Timestep plot commands stored in 'lotka_timestep_commands.txt'.

mad_stats():
  Number of timesteps n =   401
  Number of rejected steps  0
  Number of fsolve failures 0
  First time interval: [0,0.025]
  Final time interval: [4.4848,4.49701]
  Minimum timestep is 0.0063645
  Maximum timestep is 0.0481506

midpoint_adaptive_test():
  Normal end of execution.

15 July 2024 09:26:59 PM