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Space-filling Latin hypercube designs for computer experiments

Author

Listed:
  • Husslage, B.G.M.

    (Tilburg University, School of Economics and Management)

  • Rennen, G.

    (Tilburg University, School of Economics and Management)

  • van Dam, E.R.

    (Tilburg University, School of Economics and Management)

  • den Hertog, D.

    (Tilburg University, School of Economics and Management)

Abstract

No abstract is available for this item.

Suggested Citation

  • Husslage, B.G.M. & Rennen, G. & van Dam, E.R. & den Hertog, D., 2011. "Space-filling Latin hypercube designs for computer experiments," Other publications TiSEM 694f73df-a373-46a7-aa4d-1, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:694f73df-a373-46a7-aa4d-1d0cb22f58be
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    References listed on IDEAS

    as
    1. Rennen, G. & Husslage, B.G.M. & van Dam, E.R. & den Hertog, D., 2009. "Nested Maximin Latin Hypercube Designs," Discussion Paper 2009-06, Tilburg University, Center for Economic Research.
    2. den Hertog, Dick & Stehouwer, Peter, 2002. "Optimizing color picture tubes by high-cost nonlinear programming," European Journal of Operational Research, Elsevier, vol. 140(2), pages 197-211, July.
    3. Erkut, Erhan, 1990. "The discrete p-dispersion problem," European Journal of Operational Research, Elsevier, vol. 46(1), pages 48-60, May.
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    Cited by:

    1. Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019. "Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    2. González-Gorbeña, Eduardo & Qassim, Raad Y. & Rosman, Paulo C.C., 2018. "Multi-dimensional optimisation of Tidal Energy Converters array layouts considering geometric, economic and environmental constraints," Renewable Energy, Elsevier, vol. 116(PA), pages 647-658.
    3. Liuqing Yang & Yongdao Zhou & Min-Qian Liu, 2021. "Maximin distance designs based on densest packings," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(5), pages 615-634, July.
    4. Zhang, Zheng & Wang, Pan & Hu, Huanhuan & Li, Lei & Li, Haihe & Yue, Zhufeng, 2022. "Efficient reliability-based design optimization for hydraulic pipeline with adaptive sampling region," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    6. Janssen, Hans, 2013. "Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 123-132.
    7. Tomislav Letnik & Matej Mencinger & Iztok Peruš, 2020. "Flexible Assignment of Loading Bays for Efficient Vehicle Routing in Urban Last Mile Delivery," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    8. González-Gorbeña, Eduardo & Qassim, Raad Y. & Rosman, Paulo C.C., 2016. "Optimisation of hydrokinetic turbine array layouts via surrogate modelling," Renewable Energy, Elsevier, vol. 93(C), pages 45-57.

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