Patricia Diane Hough

发表

Statistical Validation For Heat Transfer Problems: A Case Study

Sarah Nicole Scott, Jeremy A. Templeton, Patricia Diane Hough, 2015 .

Multifidelity modeling approaches in simulation simulation--based optimization based optimization.

Michael S. Eldred, Patricia Diane Hough, Anthony A. Giunta, 2005 .

DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's reference manual.

Michael S. Eldred, William J. Bohnhoff, Laura Painton Swiler, 2010 .

Developing a computationally efficient dynamic multilevel hybrid optimization scheme using multifidelity model interactions.

Patricia Diane Hough, Anthony A. Giunta, Joseph Pete Castro, 2006 .

Gaussian processes in trust-region optimization methods.

Laura Painton Swiler, Patricia Diane Hough, 2006 .

Computational Challenges in Optimization for Electrical Grid Operations and Planning.

John Daniel Siirola, Jean-Paul Watson, Ali Pinar, 2011 .

Asynchronous parallel pattern search for nonlinear optimization

Tamara G. Kolda, Patricia Diane Hough, Virginia Torczon, 2000 .

Optimization of Large-Scale Heterogeneous System-of-Systems Models

David L. Woodruff, Ojas Parekh, John Daniel Siirola, 2012 .

Dakota Software Training: Uncertainty Quantification.

Patricia Diane Hough, Brian M. Adams, John Adam Stephens, 2016 .

Computational solution verification applied to a thermal model of a Ruggedized Instrumentation Package

Sarah Nicole Scott, Jeremy A. Templeton, Patricia Diane Hough, 2013 .

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis version 6.0 theory manual

Mohamed S. Ebeida, Michael S. Eldred, William J. Bohnhoff, 2020 .

Dakota Software Training: Model Calibration.

Laura Painton Swiler, Brian M. Adams, Patricia Diane Hough, 2015 .

Dakota Software Training: Optimization.

Patricia Diane Hough, Brian M. Adams, Lara E Bauman, 2016 .

Nonlinear optimization for stochastic simulations.

Heidi R. Ammerlahn, Patricia Diane Hough, Michael M. Johnson, 2003 .

Some Guidance on Preparing Validation Plans for the DART Full System Models

Patricia Diane Hough, Genetha Anne Gray, Richard Guy Hills, 2009 .

Modern Machine Learning for Automatic Optimization Algorithm Selection.

Patricia Diane Hough, Pamela J. Williams, P. Hough, 2006 .

A new scheme for multifidelity optimization incorporating pattern search and space mapping.

Patricia Diane Hough, Anthony A. Giunta, Joseph Pete Castro, 2005 .

Asynchronous Parallel Pattern Search

Tamara G. Kolda, Patricia Diane Hough, 2000 .

Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility

Patricia Diane Hough, Lauren L. Beghini, P. Hough, 2016 .

Penetrator reliability investigation and design exploration : from conventional design processes to innovative uncertainty-capturing algorithms.

Robert B. Gramacy, Robert Heaphy, Laura Painton Swiler, 2006 .

A set of representative scenarios to address the grid integration of renewables.

Jean-Paul Watson, Robert B. Gramacy, Patricia Diane Hough, 2013 .

Library for Nonlinear Optimization

Juan C. Meza, P. J. Williams, Patricia Diane Hough, 2001 .

Mixed Variable Surrogate Models for Engineering Analysis.

Curtis B. Storlie, Laura Painton Swiler, Patricia Diane Hough, 2011 .

DAKOTA , A Multilevel Parallel Object-Oriented Framework for Design Optimization , Parameter Estimation , Uncertainty Quantification , and Sensitivity Analysis Version 4 . 0 User ’ s Manual

Michael S. Eldred, Daniel M. Dunlavy, William E. Hart, 2006 .

Evaluation of Mixed Continuous-Discrete Surrogate Approaches.

Xu Xu, Curtis B. Storlie, Laura Painton Swiler, 2011 .

Investment Planning and Analysis for CBRN.

Zach Heath, Heidi R. Ammerlahn, Thomas P. Caudell, 2008 .