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Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling
16 references·8 citing·23 second hop
Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling (2014)Efficiency enhancement of optimized Latin…Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Data-driven uncertainty quant…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…An efficient algorithm for constructing optimal design of computer experiments (2004)An efficient algorithm for co…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …A Stochastic Projection Method for Fluid Flow (2002)A Stochastic Projection Metho…Algorithmic construction of optimal symmetric Latin hypercube designs (2000)Algorithmic construction of o…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…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Optimal Latin-hypercube designs for computer experiments (1994)Optimal Latin-hypercube desig…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Large Sample Properties of Si…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …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…Numerical calculation and experimental investigation of the dynamic alignment of ship propulsion shafting based on Latin hypercube stochastic finite element (2024)Numerical calculation and exp…A review of stochastic finite element and nonparametric modelling for ship propulsion shaft dynamic alignment (2023)A review of stochastic finite…A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems (2020)A two-stage multi-operator di…Robust optimization based on analytical evaluation of uncertainty propagation (2018)Robust optimization based on …Robust ascent trajectory design and optimization of a typical launch vehicle (2018)Robust ascent trajectory desi…Review of Robust Aerodynamic Design Optimization for Air Vehicles (2018)Review of Robust Aerodynamic …A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling (2017)A Taylor Expansion‐Based Adap…Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles (2016)Review of improved Monte Carl…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Empirical Model Building and Response Surfaces (1988)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling2,483 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos1,428 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2004An efficient algorithm for constructing optimal design of computer experiments671 cited
  • 1994Optimal Latin-hypercube designs for computer experiments634 cited
  • 2002A Stochastic Projection Method for Fluid Flow503 cited

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  • 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion451 cited
  • 2000Algorithmic construction of optimal symmetric Latin hypercube designs429 cited
  • Cited by

    • 2016Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles88 cited
    • 2017A Taylor Expansion‐Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling72 cited
    • 2020A two-stage multi-operator differential evolution algorithm for solving Resource Constrained Project Scheduling problems56 cited
    • 2018Review of Robust Aerodynamic Design Optimization for Air Vehicles51 cited
    • 2024Numerical calculation and experimental investigation of the dynamic alignment of ship propulsion shafting based on Latin hypercube stochastic finite element20 cited
    • 2023A review of stochastic finite element and nonparametric modelling for ship propulsion shaft dynamic alignment19 cited
    • 2018Robust ascent trajectory design and optimization of a typical launch vehicle15 cited
    • 2018Robust optimization based on analytical evaluation of uncertainty propagation14 cited