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William J. Bohnhoff
Researcher at Sandia National Laboratories
Publications - 11
Citations - 1025
William J. Bohnhoff is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Uncertainty quantification & Probabilistic-based design optimization. The author has an hindex of 3, co-authored 10 publications receiving 972 citations.
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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.
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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.
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 User's Manual.
Brian M. Adams,William J. Bohnhoff,Keith R. Dalbey,Mohamed S. Ebeida,J. Eddy,Michael S. Eldred,Russell Warren Hooper,Patricia Diane Hough,Ke Ping Hu,John D. Jakeman,Mohammad Khalil,Kathryn A. Maupin,Jason Monschke,Elliott Marshall Ridgway,Ahmad A. Rushdi,D. Thomas Seidl,J.N. Stephens,Laura Painton Swiler,Anh Tran,Justin Winokur +19 more