Published August 30, 2017
| Version v1.0.1
Software
Open
tcompa/BoseHubbardGutzwiller v1.0.1
Description
This is a python/cython code implementing the homogeneous Gutzwiller variational wave function for the extended Bose-Hubbard model. The search for the optimal wave-function parameters is performed through Simulated Annealing, a Monte Carlo method for stochastic optimization.
New in v1.0.1:
- Adds basic tests.
- Adds dependence on future library (for the tests only).
Files
tcompa/BoseHubbardGutzwiller-v1.0.1.zip
Files
(9.0 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/tcompa/BoseHubbardGutzwiller/tree/v1.0.1 (URL)