579642
doi
10.5281/zenodo.579642
oai:zenodo.org:579642
Bristol: A Python Package for Random Matrix Ensembles
Suezen, Mehmet
Ludwig-Maximilians-Universit\"at M\"unchen
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
random matrix theory
python
circular ensembles
matrix algebra
ergodicity
spectral analysis
spectral ergodicity
<p>Application of Random Matrix Theory (RMT) appears in different fields of research. Generation of random matrices numerically is an essential part of this practice. While matrices should be generated in a numerically stable way and should represent correct matrix ensemble. Bristol implements techniques developed by Mezzadri that addresses these concerns in a Python module with parallel processing capabilities and a data model for further processing. The circular module provides methods for generating matrices from Circular Unitary Ensemble (CUE), Circular Ortogonal Ensemble (COE) and Circular Symplectic Ensemble (CSE). Additional spectral analysis utilities are also implemented, such as computation of spectral density and spectral ergodicity.</p>
Code review performed by C.Garbers in kind. LATEST version available at https://pypi.python.org/pypi/bristol
Zenodo
2017-05-13
info:eu-repo/semantics/other
784443
1646344848.954475
8302
md5:647696a8df3d06714080132cf58b37dd
https://zenodo.org/records/579642/files/bristol-0.1.8.dev0.tar.gz
public
10.5281/zenodo.784443
isVersionOf
doi