  A method for model reduction in nonlinear ODE systems is demonstrated through
computational examples. The method does not require an implicit separation of
time-scales in the fine dynamics to be effective. From the computational
standpoint, the method has the potential of serving as a subgrid modeling tool.
  From the physical standpoint, it provides a model for interpreting and
describing history dependence in coarse-grained response of an autonomous
system.
