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| Hauptseite > Publikationsdatenbank > HOPS: high-performance library for (non-)uniform sampling of convex-constrained models > print |
| Hauptseite > Publikationsdatenbank > HOPS: high-performance library for (non-)uniform sampling of convex-constrained models > print |
| 001 | 885878 | ||
| 005 | 20230111074318.0 | ||
| 024 | 7 | _ | |a 10.1093/bioinformatics/btaa872 |2 doi |
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| 100 | 1 | _ | |a Jadebeck, Johann F |0 P:(DE-Juel1)173713 |b 0 |u fzj |
| 245 | _ | _ | |a HOPS: high-performance library for (non-)uniform sampling of convex-constrained models |
| 260 | _ | _ | |a Oxford |c 2020 |b Oxford Univ. Press |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a 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. |
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| 700 | 1 | _ | |a Leweke, Samuel |0 P:(DE-Juel1)139548 |b 2 |u fzj |
| 700 | 1 | _ | |a Nöh, Katharina |0 P:(DE-Juel1)129051 |b 3 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1093/bioinformatics/btaa872 |g p. btaa872 |0 PERI:(DE-600)1468345-3 |n 12 |p 1776-1777 |t Bioinformatics |v 37 |y 2020 |x 1460-2059 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/885878/files/Jadebeck_2020%20HOPS%20-%20high-performance%20library%20for%20%28non-%29uniform%20sampling%20of%20convex-constrained%20models.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/885878/files/btaa872.pdf |y Restricted |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/885878/files/btaa872_licence%20%28HOPS%29.pdf |y Restricted |
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