DiffNet is a Python tool for finding optimal allocations of sampling in computational or experimental measurements of the individual quantities and their pairwise differences, so as to minimize the covariance in the estimated quantities.
DiffNet depends on CVXOPT (http://cvxopt.org) and networkx (https://networkx.github.io/). You can install these two libraries using anaconda:
conda install -c conda-forge cvxopt conda install -c anaconda networkx
DiffNet is free open source software. NO WARRANTY, Use AS IS.
Some examples are provided in examples.py.
If you use DiffNet in a published work, please cite
Huafeng Xu, Optimal measurement network of pairwise differences, 2019, https://arxiv.org/abs/1906.08599.
Copyright (C) 2018-2019 Huafeng Xu
Project based on the Computational Molecular Science Python Cookiecutter version 1.0.