An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation
type: Item
instance of: scholarly article
title: An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation
zbMATH Open document ID: 1422.65027
author: Kunkun Tang
author: Luca Massa
author: J. B. Freund
author: Jonathan M. Wang
published in: Journal of Computational Physics
publication date: 2018-06-08T00:00:00Z
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 76V05
Mathematics Subject Classification ID: 62H20
Mathematics Subject Classification ID: 62J10
zbMATH DE Number: 6882518
zbMATH Keywords: covariance-based sensitivity analysis
zbMATH Keywords: correlated inputs
zbMATH Keywords: adaptive ANOVA
zbMATH Keywords: dimension reduction
zbMATH Keywords: polynomial dimensional decomposition
zbMATH Keywords: plasma-coupled turbulent combustion
describes a project that uses: GRI-Mech 3.0
MaRDI profile type: Publication
full work available at URL: j.jcp.2018.01.042
OpenAlex ID: W2790307289
cites work: On sensitivity estimation for nonlinear mathematical models
cites work: Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
cites work: Making best use of model evaluations to compute sensitivity indices
cites work: Q3023654
cites work: On Global Sensitivity Indices: Monte Carlo Estimates Affected by Random Errors
cites work: Sensitivity Analysis in Practice
cites work: Global Sensitivity Analysis
cites work: Sensitivity analysis: a review of recent advances
cites work: Handbook of Uncertainty Quantification
cites work: A stochastic projection method for fluid flow. II: Random process
cites work: Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations
cites work: Uncertainty quantification of limit-cycle oscillations
cites work: Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation
cites work: A polynomial dimensional decomposition for stochastic computing
cites work: ORTHOGONAL POLYNOMIAL EXPANSIONS FOR SOLVING RANDOM EIGENVALUE PROBLEMS
cites work: Adaptive-sparse polynomial dimensional decomposition methods for high-dimensional stochastic computing
cites work: Robust design optimization by polynomial dimensional decomposition
cites work: Adaptive ANOVA decomposition of stochastic incompressible and compressible flows
cites work: Sensitivity analysis using anchored ANOVA expansion and high-order moments computation
cites work: Generalized Hoeffding-Sobol decomposition for dependent variables -- application to sensitivity analysis
cites work: Estimation of global sensitivity indices for models with dependent variables
cites work: A Generalized ANOVA Dimensional Decomposition for Dependent Probability Measures
cites work: Q3999241
cites work: The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
cites work: Spectral Methods for Uncertainty Quantification
cites work: Computational Statistics
cites work: Uniformly distributed sequences with an additional uniform property
cites work: Multivariate Discrete Least-Squares Approximations with a New Type of Collocation Grid
cites work: Analysis of discrete least squares on multivariate polynomial spaces with evaluations at low-discrepancy point sets
cites work: Weighted discrete least-squares polynomial approximation using randomized quadratures
cites work: On Discrete Least-Squares Projection in Unbounded Domain with Random Evaluations and its Application to Parametric Uncertainty Quantification
cites work: Stochastic Collocation on Unstructured Multivariate Meshes
cites work: A Christoffel function weighted least squares algorithm for collocation approximations
cites work: Coherence motivated sampling and convergence analysis of least squares polynomial chaos regression
cites work: Least squares polynomial chaos expansion: a review of sampling strategies
cites work: General foundations of high-dimensional model representations
cites work: Efficient input-output model representations
cites work: Monte Carlo estimators for small sensitivity indices
cites work: A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices
cites work: On the Relative Importance of Input Factors in Mathematical Models
cites work: Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
cites work: Accuracy of the simultaneous-approximation-term boundary condition for time-dependent problems
cites work: Uncertainty quantification in chemical systems
cites work: The vorticity jump across a shock in a non-uniform flow
DOI: 10.1016/J.JCP.2018.01.042
description: scientific article; zbMATH DE number 6882518