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"A Fast and Scalable Computational Framework for Large-Scale ..."

Keyi Wu, Peng Chen, Omar Ghattas (2023)

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DOI: 10.1137/21M1466499

access: closed

type: Journal Article

metadata version: 2024-03-15

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Keyi Wu, Peng Chen, Omar Ghattas:
A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification 11(1): 235-261 (2023)

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