In these files, we demonstrate the estimation of the Frobenius-Perron operator for the logistic map example using the following methods:
RunnerHist.m
: Histogram density estimationRunnerKDE.m
: Kernel density estimation
We also provide an analysis of the mean squared error upper bound for the logistic map example in the RunnerUBanalysis.m
file.
- Run
RunnerHist.m
orRunnerKDE.m
to estimate the Frobenius-Perron operator using the respective method. - Run
RunnerUBanalysis.m
to analyze the mean squared error upper bound for the logistic map example.