Sou-Cheng/LDData
LDData: Low-Discrepancy Generating Vectors and Matrices A curated collection of low-discrepancy point set parameters including lattice rules, digital nets, polynomial lattice rules, Sobol' nets, and RQMC randomizations. This dataset enables reproducible research and high-performance Quasi–Monte Carlo (QMC) and Randomized QMC (RQMC) simulation. The LDData repository provides standard text-based formats for specifying structures used in QMC point generation across arbitrarily… See the full description on the dataset page: https://huggingface.co/datasets/Sou-Cheng/LDData.
| Author / organization | Sou-Cheng |
|---|---|
| Downloads | 2.3K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 November 2025 |
| Last updated at source | 20 November 2025 |
Recent changes
- 16 Oct 2026 Description: LDData: Low-Discrepancy Generating Vectors and Matrices A curated collection of low-discrepancy point set parameters including lattice rules, digital nets, polynomial lattice rules, Sobol' nets, and RQMC randomizations. This dataset enables → LDData: Low-Discrepancy Generating Vectors and Matrices A curated collection of low-discrepancy point set parameters including lattice rules, digital nets, polynomial lattice rules, Sobol' nets, and RQMC randomizations. This dataset enables
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