Inflation v2.0.0
This is a major update of the package, which most notably adds support for linear programming inflation problems. Major changes are:
- Added support for linear programming relaxations of causal scenarios, via InflationLP. This allows to run inflation hierarchies bounding the sets of classical and no-signaling correlations, per J. Causal Inference 7(2), 2019 (arXiv:1609.00672)
- Added support for hybrid scenarios with sources of different nature, via the
classical_sourcesargument toInflationProblem. Currently supported: classical-no-signaling (viaInflationLP) and classical-quantum (viaInflationSDP). - Added support for possibilistic-type feasibility problems (via
supports_probleminInflationLPandInflationSDP). - Added initial support for structures with multiple layers of latent variables.
- Improved support for structures with visible-to-visible connections, using the notation of do-conditionals.
- Improved handling of certificates. This makes them easier to manipulate and evaluate.
- Revamped the description of monomials. This makes the codes faster and consume less memory.