Convergence analysis of multifidelity Monte Carlo estimation
Abstract The multifidelity Monte Carlo method provides a general framework for combining cheap low-fidelity approximations of an expensive high-fidelity model to accelerate the Monte Carlo estimation of statistics of the high-fidelity model output. In this work, we investigate the pro...
Main Authors: | Peherstorfer, Benjamin, Gunzburger, Max, Willcox, Karen |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg
2021
|
Online Access: | https://hdl.handle.net/1721.1/131836 |
Similar Items
-
Optimal Model Management for Multifidelity Monte Carlo Estimation
by: Gunzburger, Max, et al.
Published: (2017) -
Multifidelity Monte Carlo estimation for large-scale uncertainty propagation
by: Peherstorfer, Benjamin, et al.
Published: (2018) -
A transport-based multifidelity preconditioner for Markov chain Monte Carlo
by: Peherstorfer, Benjamin, et al.
Published: (2020) -
Multifidelity importance sampling
by: Peherstorfer, Benjamin, et al.
Published: (2018) -
Multifidelity approaches for optimization under uncertainty
by: Ng, Leo W. T., et al.
Published: (2015)