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Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 User's Manual
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Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis: Version 6.12 User's Manual (2020)Dakota, A Multilevel Parallel Object-Orie…Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing (2016)Report of the DOE Workshop on…ROOT — An object oriented data analysis framework (1997)Scientific workflow management and the Kepler system (2005)The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)
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  • 2016Report of the DOE Workshop on Management, Analysis, and Visualization of Experimental and Observational data – The Convergence of Data and Computing8 cited

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