Wed Oct  8 07:45:19 2025

fd_predator_prey_test():
  python version: 3.10.12
  numpy version:  1.26.4
  fd_predator_prey() uses a finite difference approach
  to solve a predator/prey system of ordinary differential
  equations (ODE).

  Initial number of prey is 5000
  Initial number of predators is 100
  Time span is [0,5]
  Number of time steps will be 1000

fd_predator_prey():
  A finite difference approximate solution of a pair
  of ordinary differential equations for a population
  of predators and prey.

  The exact solution shows wave behavior, with a fixed
  period and amplitude.  The finite difference approximation
  can provide a good estimate for this behavior if the stepsize
  DT is small enough.
  Graphics saved as "trf_1000_time.png"
  Graphics saved as "trf_1000_phase.png"
  T, R, F values written to "trf_1000.txt".

fd_predator_prey_test():
  Normal end of execution.
Wed Oct  8 07:45:20 2025