skip to main content

Attention:

The NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 10:00 PM ET on Friday, December 8 until 2:00 AM ET on Saturday, December 9 due to maintenance. We apologize for the inconvenience.

Explore Research Products in the NSF-PAR

This content will become publicly available on March 31, 2024

Title: A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design
Award ID(s):
2245674
NSF-PAR ID:
10440716
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
SIAM/ASA Journal on Uncertainty Quantification
Volume:
11
Issue:
1
ISSN:
2166-2525
Page Range / eLocation ID:
235 to 261
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
No document suggestions found
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email