When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method
From MaRDI portal
Publication:5214833
DOI10.1137/18M1231353WikidataQ126346346 ScholiaQ126346346MaRDI QIDQ5214833
Publication date: 5 February 2020
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.02919
Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis (42C05) Approximation by polynomials (41A10)
Related Items
Augmented Gaussian random field: theory and computation ⋮ Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models ⋮ Stress-based topology optimization under uncertainty via simulation-based Gaussian process ⋮ An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations ⋮ Learning nonlocal constitutive models with neural networks ⋮ Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression ⋮ Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling ⋮ Physics Information Aided Kriging using Stochastic Simulation Models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reweighted \(\ell_1\) minimization method for stochastic elliptic differential equations
- Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients
- Adaptive ANOVA decomposition of stochastic incompressible and compressible flows
- A non-adapted sparse approximation of PDEs with stochastic inputs
- An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations
- The Kuramoto-Sivashinsky equation: a bridge between PDE's and dynamical systems
- Order and complexity in the Kuramoto-Sivashinsky model of weakly turbulent interfaces
- Efficient global optimization of expensive black-box functions
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems
- Multi-fidelity stochastic collocation method for computation of statistical moments
- Machine learning of linear differential equations using Gaussian processes
- Physics-informed cokriging: a Gaussian-process-regression-based multifidelity method for data-model convergence
- Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence
- Multifidelity importance sampling
- A unified framework for mesh refinement in random and physical space
- Optimal Model Management for Multifidelity Monte Carlo Estimation
- A Stochastic Collocation Algorithm with Multifidelity Models
- Computational Aspects of Stochastic Collocation with Multifidelity Models
- Multilevel Monte Carlo Path Simulation
- Multi-fidelity optimization via surrogate modelling
- On Flame Propagation Under Conditions of Stoichiometry
- The Componentwise Distance to the Nearest Singular Matrix
- Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
- Predicting the output from a complex computer code when fast approximations are available
- RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY
- High-Order Collocation Methods for Differential Equations with Random Inputs
