Paul D. Arendt
About
Paul D. Arendt has authored 7 papers that have received a total of 533 indexed citations.
This includes 7 papers in Computational Theory and Mathematics, 7 papers in Statistics, Probability and Uncertainty and 4 papers in Management Science and Operations Research. The topics of these papers are Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Optimal Experimental Design Methods (3 papers). Paul D. Arendt is often cited by papers focused on Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Optimal Experimental Design Methods (3 papers) and collaborates with scholars based in United States and China. Paul D. Arendt's co-authors include Daniel W. Apley, Hong-Zhong Huang and Xiaolei Yin and has published in prestigious journals such as Structural and Multidisciplinary Optimization and Journal of Mechanical Design
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