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Title: Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models

Abstract

Our motivation was to explore high-dimensional input-output data space; create complex simulation models; respond to a lack of analysis tools; and create a systematic, step-by-step analysis process.

Authors:
 [1];  [2];  [2]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1392895
Report Number(s):
LA-UR-17-28481
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Dutta, Soumya, Woodring, Jonathan Lee, and Ahrens, James Paul. Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models. United States: N. p., 2017. Web. doi:10.2172/1392895.
Dutta, Soumya, Woodring, Jonathan Lee, & Ahrens, James Paul. Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models. United States. doi:10.2172/1392895.
Dutta, Soumya, Woodring, Jonathan Lee, and Ahrens, James Paul. Tue . "Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models". United States. doi:10.2172/1392895. https://www.osti.gov/servlets/purl/1392895.
@article{osti_1392895,
title = {Uncertainty, sensitivity, and error analysis and visualization of high-dimensional Input-output models},
author = {Dutta, Soumya and Woodring, Jonathan Lee and Ahrens, James Paul},
abstractNote = {Our motivation was to explore high-dimensional input-output data space; create complex simulation models; respond to a lack of analysis tools; and create a systematic, step-by-step analysis process.},
doi = {10.2172/1392895},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 19 00:00:00 EDT 2017},
month = {Tue Sep 19 00:00:00 EDT 2017}
}

Technical Report:

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