Solving a directed percolation inverse problem
Disordered Systems and Neural Networks
2022-09-19 v4 Machine Learning
Adaptation and Self-Organizing Systems
Abstract
We present a directed percolation inverse problem for diode networks: Given information about which pairs of nodes allow current to percolate from one to the other, can one find a configuration of diodes consistent with the observed currents? We implement a divide-and-concur iterative projection method for solving the problem and demonstrate the supremacy of our method over an exhaustive approach for nontrivial instances of the problem. We find that the problem is most difficult when some but not all of the percolation data are hidden, and that the most difficult networks to reconstruct generally are those for which the currents are most sensitive to the addition or removal of a single diode.
Keywords
Cite
@article{arxiv.2201.12222,
title = {Solving a directed percolation inverse problem},
author = {Sean Deyo},
journal= {arXiv preprint arXiv:2201.12222},
year = {2022}
}