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After a general simulation model is built, coded, verified, and validated, it is used to learn about the system(s) under study, requiring careful prior design of the runs and appropriate analysis of their output. This paper surveys methods for effective and efficient design and analysis of simulation experiments.
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Stored only when both papers are in the corpus — 95 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.