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Process / pipeline

Ubunifu wa Utafiti wa Uigaji wa Stratified — Sampuli ya Latin Hypercube

Sampuli ya Latin Hypercube (LHS) ni ubunifu wa kujaza nafasi uliowekwa kwa ajili ya majaribio ya kompyuta, ulioanzishwa na McKay, Beckman, na Conover mwaka 1979. Unagawanya kiwango cha kila kigezo cha pembejeo katika sehemu zenye uwezekano sawa na huchota sampuli moja tu kwa kila sehemu, ukihakikisha kuwa nafasi kamili ya pembejeo inafunikwa kwa tathmini chache za modeli kuliko uigaji wa kawaida wa Monte Carlo unavyohitaji. Mara nyingi huunganishwa na uchambuzi wa hisia za kimataifa — hasa viashirio vya Sobol — ili kupima ni kiasi gani kila pembejeo huathiri utofauti wa matokeo.

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Vyanzo

  1. McKay, M.D., Beckman, R.J. & Conover, W.J. (1979). A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics, 21(2), 239-245. DOI: 10.1080/00401706.1979.10489755
  2. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M. & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. DOI: 10.1002/9780470725184

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). Latin Hypercube Sampling and Sensitivity Analysis. ScholarGate. https://scholargate.app/sw/simulation/latin-hypercube-sampling

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Imerejelewa na

ScholarGateLatin Hypercube Sampling (Latin Hypercube Sampling and Sensitivity Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/latin-hypercube-sampling · Seti ya data: https://doi.org/10.5281/zenodo.20539026