closes #36 + readme edit

README.md

@@ -9,6 +9,8 @@ This includes the **Bouncy Particle Sampler** and the **Zig-Zag Sampler**.
 
 Please refer to [**the documentation**](https://alan-turing-institute.github.io/PDMP.jl/latest) for information on how to use/expand this package.
 
+If you find this toolbox useful please star the repo! If you use it in your work, please cite this code and send us an email so that we can cite your work here.
+
 ## Installation and requirements
 
 (This is explained in more details in the documentation)
@@ -32,4 +34,4 @@ using PDMP
 * Joris Bierkens, Paul Fearnhead and Gareth Roberts, [*The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data*](https://arxiv.org/pdf/1607.03188.pdf), arXiv preprint, 2016.
 * Changye Wu, Christian Robert, [*Generalized Bouncy Particle Sampler*](https://arxiv.org/pdf/1706.04781.pdf), arXiv preprint, 2017.
 
-*Note*: if your paper is not listed here and you feel like it should, please open an issue (same goes if there is a mistake or if a preprint is now a proper-print). 
+*Note*: if your paper is not listed here and you feel like it should, please open an issue (same goes if there is a mistake or if a preprint is now a proper-print).

src/models/pmf.jl

@@ -33,8 +33,7 @@ function pmf_base(rexp::Float, p::Poly)::Float
     #
     # start by dumping roots with a negative real parts
     # and roots that are "too imaginary"
-    prs = [r for r in rs
-               if real(r)>0.0 && imag(r)/abs(r)<1e-8 ]
+    prs = [r for r in rs if real(r)>0.0 && imag(r)/abs(r)<1e-8 ]
     # now pick the one with the smallest radius
     prs = sort(map(abs,prs))
     k   = searchsortedfirst(prs,0.0)