A generalized approximate control variate framework for multifidelity uncertainty quantification
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Publication:2123331
DOI10.1016/j.jcp.2020.109257OpenAlexW3002223934WikidataQ126314856 ScholiaQ126314856MaRDI QIDQ2123331
Alex Gorodetsky, Gianluca Geraci, John D. Jakeman, Michael S. Eldred
Publication date: 8 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.04988
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Uses Software
Cites Work
- Unnamed Item
- Multi-index Monte Carlo: when sparsity meets sampling
- Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients
- A multi level Monte Carlo method with control variate for elliptic PDEs with log-normal coefficients
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems
- Optimal Model Management for Multifidelity Monte Carlo Estimation
- Proper orthogonal decompositions in multifidelity uncertainty quantification of complex simulation models
- Multilevel Monte Carlo Methods
- Multifidelity approaches for optimization under uncertainty
- Control Variate Remedies
- Multilevel Monte Carlo Path Simulation
- Efficiency of Multivariate Control Variates in Monte Carlo Simulation
- A Perspective on the Use of Control Variables to Increase the Efficiency of Monte Carlo Simulations
- Statistical Results on Control Variables with Application to Queueing Network Simulation
- Finite Volume Methods for Hyperbolic Problems
- IMPROVING SIMULATION EFFICIENCY WITH QUASI CONTROL VARIATES
- Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models
- Control Functionals for Monte Carlo Integration
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