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On optimal sampling in high and low dimension
A dissertation examining optimal sampling methods for both high- and low-dimensional settings. Published 2026-03-30 by Agence Bibliographique de l'Enseignement Supérieur and labeled as a dissertation.
Categories: science-and-space, technology
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 3/10
- Geographic reach
- 1/10
- Global importance
- 2/10
- Impact magnitude
- 3/10
- Positivity
- 7/10
- Urgency
- 1/10
Why it matters
It presents academic research on sampling methods that may inform statistical and computational work.

