Pages that link to "Item:Q459298"
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The following pages link to Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing (Q459298):
Displaying 25 items.
- Sparse grids and applications -- Stuttgart 2014. Collected contributions of the 3rd workshop, SGA 2014, Stuttgart, Germany, September 1--5, 2014 (Q261496) (← links)
- A new sparse grid based method for uncertainty propagation (Q381443) (← links)
- An efficient dimension-adaptive uncertainty propagation approach (Q426333) (← links)
- Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis (Q777569) (← links)
- An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation (Q1637558) (← links)
- Uncertainty quantification under dependent random variables by a generalized polynomial dimensional decomposition (Q1986743) (← links)
- Efficient reliability analysis with a CDA-based dimension-reduction model and polynomial chaos expansion (Q2020745) (← links)
- Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
- Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization (Q2306805) (← links)
- Towards `\(h\)-\(p\) \textit{adaptive}' generalized ANOVA (Q2309858) (← links)
- A new non-intrusive polynomial chaos using higher order sensitivities (Q2310152) (← links)
- Extreme value oriented random field discretization based on an hybrid polynomial chaos expansion -- Kriging approach (Q2310861) (← links)
- A new algorithm for high-dimensional uncertainty quantification based on dimension-adaptive sparse grid approximation and reduced basis methods (Q2374649) (← links)
- Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation (Q2375149) (← links)
- Stochastic finite elements of discretely parameterized random systems on domains with boundary uncertainty (Q2952567) (← links)
- An adaptive spectral Galerkin stochastic finite element method using variability response functions (Q2952818) (← links)
- Mathematical Properties of Polynomial Dimensional Decomposition (Q3176246) (← links)
- A polynomial dimensional decomposition for stochastic computing (Q3590495) (← links)
- Improved Moving Least Square-Based Multiple Dimension Decomposition (MDD) Technique for Structural Reliability Analysis (Q4987340) (← links)
- Improved Nelder–Mead algorithm in high dimensions with adaptive parameters based on Chebyshev spacing points (Q5059449) (← links)
- A novel maximum volume sampling model for reliability analysis (Q6135673) (← links)
- SS-MASVM: an advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine (Q6201155) (← links)
- An iterative polynomial chaos approach toward stochastic elastostatic structural analysis with non-Gaussian randomness (Q6553858) (← links)
- Uncertainty quantification by optimal spline dimensional decomposition (Q6554152) (← links)
- An efficient metamodeling approach for uncertainty quantification of complex systems with arbitrary parameter probability distributions (Q6565211) (← links)
