This is the set of codes used for the numerical computations in Bortz, Byrne and Mirzaev (2016), where we investigate the inverse problem of identifying a conditional probability measure in measure-dependent evolution equations arising in size-structured population modeling. We apply the theory to a particular PDE model that arises in the study of population dynamics for flocculating bacterial aggregates in suspension, and provide numerical evidence for the utility of the approach.
The program is written purely in Python 2.7. It depends on some famous libraries: SciPy, NumPy, matplotlib, multiprocessing, etc. All the dependencies can be solved by installing Anaconda software package. Installation instructions can be found at https://www.continuum.io/downloads
If you use this code to do research that leads to publication, we ask that you acknowledge use of this code by citing the following in your publication::
Cite the paper:
Bortz D. M., Byrne E. C. and Mirzaev I. (2016) An Inverse Problem for a Class of Conditional Probability Measure-Dependent Evolution Equations , Inverse Problems
For further information please contact me at [email protected]