TY  - JOUR
AU  - Jadebeck, Johann F
AU  - Theorell, Axel
AU  - Leweke, Samuel
AU  - Nöh, Katharina
TI  - HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
JO  - Bioinformatics
VL  - 37
IS  - 12
SN  - 1460-2059
CY  - Oxford
PB  - Oxford Univ. Press
M1  - FZJ-2020-04154
SP  - 1776-1777
PY  - 2020
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 33045081
UR  - <Go to ISI:>//WOS:000693171600023
DO  - DOI:10.1093/bioinformatics/btaa872
UR  - https://juser.fz-juelich.de/record/885878
ER  -