Don Beeson

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Non-Gradient Based Methods for Probabilistic Analysis

Liping Wang, Don Beeson, 2003 .

Challenges in Uncertainty, Calibration, Validation and Predictability of Engineering Analysis Models

Liping Wang, John Nelson, Gene Wiggs, 2011 .

Inverse Modeling Techniques for Parameter Estimation in Engineering Simulation Models

Gene Wiggs, Don Beeson, Harish Agarwal, 2006 .

Valuable Theoretical Lessons Learned From the Application of Metamodels to a Variety of Industrial Problems

Don Beeson, Liping Wang, 2009, DAC 2009.

High-Accuracy Matching of Engine Performance Models to Test Data

Dimitri N. Mavris, Bryce Alexander Roth, Don Beeson, 2003 .

A Comparison Of Meta -modeling Methods Using Practical Industry Requirements

Liping Wang, Mahidhar Rayasam, Gene Wiggs, 2006 .

Inverse modeling technology for parameter estimation

Gene Wiggs, Don Beeson, Harish Agarwal, 2007 .

A Comparative Study on Accuracy and Efficiency of Metamodels for Large Industrial Datasets

Liping Wang, John Nelson, Don Beeson, 2011 .

Pseudo-ARMA Model for Meta-Modeling Extrapolation

Liping Wang, Huageng Luo, Gene Wiggs, 2007 .

Efficient Probabilistic Analysis and Design Optimization Using Data Classification Decision Boundaries

Liping Wang, Don Beeson, Arun K. Subramaniyan, 2010 .

A Practical Robust and Efficient RBF Metamodel Method for Typical Engineering Problems

Liping Wang, Gene Wiggs, Don Beeson, 2008, DAC 2008.

Gaussian Process Meta-Models for Efficient Probabilistic Design in Complex Engineering Design Spaces

Liping Wang, Gene Wiggs, Don Beeson, 2005, DAC 2005.

Efficient and Accurate Point Estimate Method for Moments and Probability Distribution Estimation

Liping Wang, Gene Wiggs, Don Beeson, 2004 .