%0 Journal Article
%A Jadebeck, Johann F
%A Theorell, Axel
%A Leweke, Samuel
%A Nöh, Katharina
%T HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
%J Bioinformatics
%V 37
%N 12
%@ 1460-2059
%C Oxford
%I Oxford Univ. Press
%M FZJ-2020-04154
%P 1776-1777
%D 2020
%X The C++ library Highly Optimized Polytope Sampling (HOPS) provides implementations of efficient and scalable algorithms for sampling convex-constrained models that are equipped with arbitrary target functions. For uniform sampling, substantial performance gains were achieved compared to the state-of-the-art. The ease of integration and utility of non-uniform sampling is showcased in a Bayesian inference setting, demonstrating how HOPS interoperates with third-party software.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 33045081
%U <Go to ISI:>//WOS:000693171600023
%R 10.1093/bioinformatics/btaa872
%U https://juser.fz-juelich.de/record/885878