Authors: Boopathy, Komahan
Superior Title: Graduate Theses and Dissertations
Subject Terms: Uncertainty Mathematical models, Structural optimization Mathematical models, Engineering design Statistical methods, Aerospace Engineering, Civil Engineering, Mechanical Engineering, Physics, Mathematics, Uncertainty Quantification, Robust Design Optimization, Surrogate Models, Response Surfaces, Design of Experiments, Validation, Error Estimation, Training, Sampling, Kriging, Polynomial Chaos, Regression, Interpolation, Aerodynamic Database, envir, edu
Availability: https://ecommons.udayton.edu/graduate_theses/666
Authors: Boopathy, Komahan
Superior Title: Graduate Theses and Dissertations
Subject Terms: Uncertainty Mathematical models, Structural optimization Mathematical models, Engineering design Statistical methods, Aerospace Engineering, Civil Engineering, Mechanical Engineering, Physics, Mathematics, Uncertainty Quantification, Robust Design Optimization, Surrogate Models, Response Surfaces, Design of Experiments, Validation, Error Estimation, Training, Sampling, Kriging, Polynomial Chaos, Regression, Interpolation, Aerodynamic Database
Relation: https://ecommons.udayton.edu/graduate_theses/666; http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398302731
Authors: Diegert, Kathleen V., Dvorack, Michael A., Ringland, James T., Mundt, Michael Joseph, Huzurbazar, Aparna (Los Alamos National Laboratory, Los Alamos, NM), Lorio, John F., Fatherley, Quinn (Los Alamos National Laboratory, Anderson-Cook, Christine (Los Alamos National Laboratory, Wilson, Alyson G. (Los Alamos National Laboratory, Zurn, Rena M.
Contributors: United States. Department of Energy.
Subject Terms: 99 General And Miscellaneous//Mathematics, Computing, And Information Science, Uncertainty-Mathematical Models, Sampling, Calculation Methods Uncertainty-Mathematical Models, Bayesian Statistical Decision Theory-Mathematical Models, Reliability, 97 Mathematical Methods And Computing, Data Covariances
File Description: 63 p.; Text
Relation: rep-no: SAND2009-2173; grantno: AC04-94AL85000; osti: 970305; http://digital.library.unt.edu/ark:/67531/metadc929757/; ark: ark:/67531/metadc929757
Contributors: United States. Department of Energy.
Subject Terms: Probability, Scatterplots, Sensitivity Theory (Mathematics), 99 General And Miscellaneous//Mathematics, Computing, And Information Science, Uncertainty-Mathematical Models, Sampling, Regression Analysis, Uncertainty-Analysis, Sensitivity Analysis Probabilities, Probabilities, Data Covariances
File Description: 84 p.; Text
Relation: rep-no: SAND2006-2901; grantno: AC04-94AL85000; osti: 886897; https://digital.library.unt.edu/ark:/67531/metadc891681/; ark: ark:/67531/metadc891681