Changes: - fixed rng parameter of sample_many_runs - improved performance of Bianconi-Barabasi generator
1.4.0
Changes: - added Generator for Bianconi-Barabasi random networks
1.3.0
Changes: - Replaced log complexity sampling with O(1) sampling via Alias method. This makes the previous version of the const complexity simulation obsolete.
1.2.0
Changes:
- A Numpy random number generator can now be specified everywhere random sampling happens. This enables reproducibility of model simulations.
1.1.0
Changes:
- New methods of CNVM: `simulate_const_complexity` and `simulate_log_complexity` allow to choose which of the equivalent update algorithms is used.