A novel sparse polynomial chaos expansion technique with high adaptiveness for surrogate modelling

Cites Work

Compressive sampling of polynomial chaos expansions: convergence analysis and sampling strategies
Hierarchical stochastic metamodels based on moving least squares and polynomial chaos expansion: application to the multiobjective reliability-based optimization of space truss structures
Sparse Legendre expansions via \(\ell_1\)-minimization
The stochastic finite element method: past, present and future
Enhancing \(\ell_1\)-minimization estimates of polynomial chaos expansions using basis selection
Response surface design evaluation and comparison
Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos
Sparse polynomial chaos expansions via compressed sensing and D-optimal design
An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework
An efficient adaptive forward-backward selection method for sparse polynomial chaos expansion
Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling
Compressive sensing adaptation for polynomial chaos expansions
Some greedy algorithms for sparse polynomial chaos expansions
A hybrid sequential sampling strategy for sparse polynomial chaos expansion based on compressive sampling and Bayesian experimental design
A stochastic spectral finite element method for wave propagation analyses with medium uncertainties
Natural frequency analysis of functionally graded material beams with axially varying stochastic properties
Divide and conquer: an incremental sparsity promoting compressive sampling approach for polynomial chaos expansions
Least squares polynomial chaos expansion: a review of sampling strategies
Sequential experimental design based generalised ANOVA
Basis adaptive sample efficient polynomial chaos (BASE-PC)
Beyond Wiener-Askey expansions: handling arbitrary PDFs
Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications
Bayesian Compressive Sensing Using Laplace Priors