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Computer experiments with different levels of accuracy have become prevalent in many engineering and scientific applications. Design construction for such computer experiments is a new issue because the existing methods deal almost exclusively with computer experiments with one level of accuracy. In this paper, we construct some nested space-filling designs for computer experiments with two levels of accuracy. Our construction makes use of Galois fields and orthogonal arrays.
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Stored only when both papers are in the corpus — 49 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.