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Incorporating uncertainties into multidisciplinary design analysis and optimization can be computationally expensive and complex. The authors propose a new methodology to decrease computational cost and complexity for these types of problems.
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This page is a summary of: End-to-End Uncertainty Quantification with Analytical Derivatives for Design Under Uncertainty, Journal of Aircraft, March 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.c037976.
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