HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

Research article (Bioinformatics, 2020) · cited 18× · AI/ML
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HOPS: high-performance library for (non-)uniform sampling of convex-constrained models

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HOPS: high-performance library for (non-)uniform sampling of convex-constrained models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). HOPS: high-performance library for (non-)uniform sampling of convex-constrained models. Retrieved May 24, 2026, from https://4ort.xyz/entity/hops-high-performance-library-for-non-uniform-sampling-of-convex-constrained-models
MLA “HOPS: high-performance library for (non-)uniform sampling of convex-constrained models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hops-high-performance-library-for-non-uniform-sampling-of-convex-constrained-models.
BibTeX @misc{4ortxyz_hops-high-performance-library-for-non-uniform-sampling-of-convex-constrained-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HOPS: high-performance library for (non-)uniform sampling of convex-constrained models}}, year = {2026}, url = {https://4ort.xyz/entity/hops-high-performance-library-for-non-uniform-sampling-of-convex-constrained-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HOPS: high-performance library for (non-)uniform sampling of convex-constrained models — https://4ort.xyz/entity/hops-high-performance-library-for-non-uniform-sampling-of-convex-constrained-models (retrieved 2026-05-24)

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