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A user`s guide to LHS: Sandia`s Latin Hypercube Sampling Software
3 references·12 citing·38 second hop
A user`s guide to LHS: Sandia`s Latin Hypercube Sampling Software (1998)A user`s guide to LHS: Sandia`s Latin Hyp…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models (1984)Fortran 77 program and user's…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Development of a FRAM-based framework to identify hazards in a complex system (2019)Development of a FRAM-based f…Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process (2018)Diesel engine optimization wi…Global Sensitivity Analysis and Uncertainty Quantification for a Hypersonic Shock Interaction Flow (2015)Global Sensitivity Analysis a…Finite element modelling and optimisation of net-shape metal forming processes with uncertainties (2011)Finite element modelling and …DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. 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this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1984Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models354 cited

Cited by

  • 2004Polynomial Chaos Expansion with Latin Hypercube Sampling for Estimating Response Variability218 cited
  • 2018Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process105 cited
  • 2011DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.99 cited
  • 2001DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual67 cited
  • 2003Solving stochastic heat transfer problems39 cited
  • 2011Finite element modelling and optimisation of net-shape metal forming processes with uncertainties34 cited
  • 2019Development of a FRAM-based framework to identify hazards in a complex system32 cited
  • 2006Estimation of structural reliability for Gaussian random fields32 cited
  • 2009Uncertainty in a Result Determined from Multiple Variables21 cited

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  • 2005Probabilistic Parameter Uncertainty Analysis of Single Input Single Output Control Systems19 cited
  • 2009Geometrically non-linear behavior of structural systems with random material property: An asymptotic spectral stochastic approach17 cited
  • 2015Global Sensitivity Analysis and Uncertainty Quantification for a Hypersonic Shock Interaction Flow14 cited