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Original paper

Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

Volume: 60, Issue: 3, Pages: 550 - 591
Published: Jan 1, 2018
Abstract
In many situations across computational science and engineering, multiple computational models are available that describe a system of interest. These different models have varying evaluation costs and varying fidelities. Typically, a computationally expensive high-fidelity model describes the system with the accuracy required by the current application at hand, while lower-fidelity models are less accurate but computationally cheaper than the...
Paper Details
Title
Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
Published Date
Jan 1, 2018
Volume
60
Issue
3
Pages
550 - 591
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