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Title: Generating samples from extremely ill-conditioned covariance data.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1508903
Report Number(s):
SAND2018-4010C
662452
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 2018 SIAM Conference on Uncertainty Quantification held April 16-19, 2018 in Garden Grove, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Swiler, Laura Painton, and Adams, Brian M. Generating samples from extremely ill-conditioned covariance data.. United States: N. p., 2018. Web.
Swiler, Laura Painton, & Adams, Brian M. Generating samples from extremely ill-conditioned covariance data.. United States.
Swiler, Laura Painton, and Adams, Brian M. Sun . "Generating samples from extremely ill-conditioned covariance data.". United States. https://www.osti.gov/servlets/purl/1508903.
@article{osti_1508903,
title = {Generating samples from extremely ill-conditioned covariance data.},
author = {Swiler, Laura Painton and Adams, Brian M.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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