An improved sufficient dimension reduction-based kriging modeling method for high-dimensional evaluation-expensive problems
From MaRDI portal
Publication:6120130
DOI10.1016/j.cma.2023.116544OpenAlexW4387989240MaRDI QIDQ6120130
No author found.
Publication date: 25 March 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2023.116544
Cites Work
- Unnamed Item
- Unnamed Item
- Partial martingale difference correlation
- Dimension estimation in sufficient dimension reduction: a unifying approach
- On almost linearity of low dimensional projections from high dimensional data
- Gaussian processes with built-in dimensionality reduction: applications to high-dimensional uncertainty propagation
- Kriging metamodeling in simulation: a review
- Regression and Kriging metamodels with their experimental designs in simulation: a review
- A general theory for nonlinear sufficient dimension reduction: formulation and estimation
- Uncertainty quantification in multiscale simulation of woven fiber composites
- A sequential calibration and validation framework for model uncertainty quantification and reduction
- A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis
- A collaborative model calibration framework under uncertainty considering parameter distribution
- Sliced Inverse Regression for Dimension Reduction
- Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
- Martingale Difference Divergence Matrix and Its Application to Dimension Reduction for Stationary Multivariate Time Series
- An Interior Point Algorithm for Large-Scale Nonlinear Programming
- Martingale Difference Correlation and Its Use in High-Dimensional Variable Screening
- Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics
- Combining eigenvalues and variation of eigenvectors for order determination
- On Sliced Inverse Regression With High-Dimensional Covariates
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
This page was built for publication: An improved sufficient dimension reduction-based kriging modeling method for high-dimensional evaluation-expensive problems
