Publications

Citation

BibTex format

@misc{Kuhn-Regnier:2020,
author = {Kuhn-Regnier, A and Cocconi, L and Neuss, M},
title = {bounded-rand-walkers},
type = {Software},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - GEN
AB  - This is the first release of the software used in our paper investigating bounded random walks.We implemented an adaptive rejection sampling algorithm in both Python and C++, allowing the investigation of bounded random walks given user-specified intrinsic step distributions and convex geometries. Multiple binning techniques are used throughout in order to enable analysis of both 2D gridded and 1D radially-averaged data, and a custom integrator is used to achieve high numerical accuracy where needed.
AU  - Kuhn-Regnier,A
AU  - Cocconi,L
AU  - Neuss,M
PY  - 2020///
TI  - bounded-rand-walkers
ER  -
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