J
John Eddy
Researcher at Sandia National Laboratories
Publications - 20
Citations - 1618
John Eddy is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Engineering optimization & Uncertainty quantification. The author has an hindex of 11, co-authored 20 publications receiving 1552 citations. Previous affiliations of John Eddy include University at Buffalo.
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DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.
Michael S Eldred,Keith R. Dalbey,William J. Bohnhoff,Brian M. Adams,Laura Painton Swiler,Patricia Diane Hough,John Eddy,Karen H. Haskell +7 more
TL;DR: This report serves as a reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.
ReportDOI
DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual
Joshua D. Griffin,Michael S Eldred,Monica L. Martinez-Canales,Jean-Paul Watson,Tamara G. Kolda,Anthony A. Giunta,Brian M. Adams,Laura Painton Swiler,Pamela J. Williams,Patricia D. Hough,Daniel M. Dunlavy,John Eddy,William E. Hart,Shannon L. Brown +13 more
TL;DR: This report serves as a user’s manual for the Dakota software and provides capability overviews and procedures for software execution, as well as a variety of example studies.
ReportDOI
Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual
Brian M. Adams,Mohamed S. Ebeida,Michael S. Eldred,John D. Jakeman,Laura Painton Swiler,John Adam Stephens,Dena M. Vigil,Tim Wildey,William J. Bohnhoff,John Eddy,Kenneth T. Hu,Keith R. Dalbey,Lara E Bauman,Patricia Diane Hough +13 more
TL;DR: This manual is intended to summarize a set of Dakota-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of Dakota’s iterative analysis capabilities.
ReportDOI
DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.
Michael S. Eldred,Dena M. Vigil,Keith R. Dalbey,William J. Bohnhoff,Brian M. Adams,Laura Painton Swiler,Sophia Lefantzi,Patricia Diane Hough,John Eddy +8 more
TL;DR: The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides aible and extensible interface between simulation codes and iterative analysis methods.
Proceedings ArticleDOI
Visualization of Multidimensional Design and Optimization Data Using Cloud Visualization
John Eddy,Kemper Lewis +1 more
TL;DR: The new technique, Cloud Visualization, is based upon representing sets of points as clouds in both the design and performance spaces and is applicable to both single and multiobjective optimization problems.