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Formulation of the Audze–Eglais uniform Latin hypercube design of experiments for constrained design spaces
10 references·1 citing·33 second hop
Formulation of the Audze–Eglais uniform Latin hypercube design of experiments for constrained design spaces (2011)Formulation of the Audze–Eglais uniform L…A study on algorithms for optimization of Latin hypercubes (2005)A study on algorithms for opt…Formulation of the Optimal Latin Hypercube Design of Experiments Using a Permutation Genetic Algorithm (2004)Formulation of the Optimal La…Formulation of the Audze–Eglais Uniform Latin Hypercube design of experiments (2003)Formulation of the Audze–Egla…Constrained Maximin Designs for Computer Experiments (2003)Constrained Maximin Designs f…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…Minimax and maximin distance designs (1990)Minimax and maximin distance …Designs for Computer Experiments (1989)Designs for Computer Experime…Maximum entropy sampling (1987)Maximum entropy samplingSmall sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points (2016)Modification of the Audze–Egl…A distribution-free approach to inducing rank correlation among input variables (1982)Generalized Latin Hypercube Design for Computer Experiments (2010)Space-filling Latin hypercube designs for computer experiments (2010)To Sobol or not to Sobol? The effects of sampling schemes in systems biology applications (2021)Simulation Modeling and Analysis. (1983)Design and Analysis of Computer Experiments (1989)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A novel algorithm of maximin Latin hypercube design using successive local enumeration (2011)Sequential Exploration of Complex Surfaces Using Minimum Energy Designs (2014)Using Genetic Algorithms to Design Experiments: A Review (2014)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Optimal Latin-hypercube designs for computer experiments (1994)Sensitivity Analysis for Chemical Models (2005)Exploratory designs for computational experiments (1995)Space-Filling Designs for Computer Experiments (2003)Uniform Designs for Highly Constrained Mixture Experiments (2009)Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions (2012)On a Measure of the Information Provided by an Experiment (1956)Algorithmic construction of optimal symmetric Latin hypercube designs (2000)Proceedings of the 2002 Winter Simulation Conference (2002)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Optimizing Latin hypercube designs by particle swarm (2012)Machine learning and Design of Experiments: Alternative approaches or complementary methodologies for quality improvement? (2020)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)An efficient algorithm for constructing optimal design of computer experiments (2004)Response Surface Methodology: A Retrospective and Literature Survey (2004)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
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
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1990Minimax and maximin distance designs1,452 cited
  • 1989Designs for Computer Experiments970 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited
  • 1987Maximum entropy sampling603 cited
  • 2005A study on algorithms for optimization of Latin hypercubes221 cited
  • 2004Formulation of the Optimal Latin Hypercube Design of Experiments Using a Permutation Genetic Algorithm138 cited
  • 2003Formulation of the Audze–Eglais Uniform Latin Hypercube design of experiments111 cited
  • 2003Constrained Maximin Designs for Computer Experiments77 cited

Cited by

  • 2016Modification of the Audze–Eglājs criterion to achieve a uniform distribution of sampling points32 cited

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