mosdex-python 2020.1.dev7

Package for running demo of MOSDEX modular optimization problem data standard

# mosdex-python

A Python demonstration of the MOSDEX standard for large-scale modular optimization problems. It is based on an experimental version of the MOSDEX Schema (version 1.3-ajk), which is still being refined. The MOSDEX standard is documented in the repository https://github.com/coin-modeling-dev/MOSDEX-Examples.

The schema is included in the data directory, along with a sailco file that tests it. * To install the mosdex-python package and dependencies: pip install mosdex-python * Example code is in the samples directory. To run sailco: cd samples; python -m sailco * PDFs of some sample output are in mosdex-python/data

Wish list: * Syntax to describe functional relationships between independent and dependent variables * Syntax to describe sequence operators: next and previous * Interfaces to some modeling languages * Interfaces to COIN-OR/OSI libraries for integer, nonlinear, and stochastic dynamic optimization * Implementations of decomposition algorithms * Implementation of decomposition using distributed Cloud services

Acknowledgements: This effort was initiated during workshops in 2018 and 2019 organized by the COIN-OR Foundation https://www.coin-or.org/. These workshops were hosted by the Institute for Mathematics and its Applications at the Unversity of Minnesota https://www.ima.umn.edu/, whose generous support is gratefully acknowledged.

Team: Jeremy Bloom <[e-mail]>, Alan King <[e-mail]>, Matt Saltman <[e-mail]>, Brad Bell <[e-mail]>

Slack channel: coin-or.slack.com/#ima-modeling-sprint