Showing 1 - 20 results of 32 for search 'Dan Gabriel Cacuci', query time: 0.06s Refine Results
  1. 1
    Towards Overcoming the Curse of Dimensionality: The Third-Order Adjoint Method for Sensitivity Analysis of Response-Coupled Linear Forward/Adjoint Systems, with Applications to Uncertainty Quantification and Predictive Modeling

    Towards Overcoming the Curse of Dimensionality: The Third-Order Adjoint Method for Sensitivity Analysis of Response-Coupled Linear Forward/Adjoint Systems, with Applications to Unc... by Dan Gabriel Cacuci

    Published 2019-11-01
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  2. 2
    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework

    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (n<sup>th</sup>-CASAM-N): Mathematical Framework by Dan Gabriel Cacuci

    Published 2022-06-01
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  3. 3
    Illustrative Application of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems to the Nordheim–Fuchs Reactor Dynamics/Safety Model

    Illustrative Application of the nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems to the Nordheim–Fuchs Reactor Dynamics/Safety Model by Dan Gabriel Cacuci

    Published 2022-06-01
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  4. 4
    Overview of Arbitrarily High-Order Adjoint Sensitivity and Uncertainty Quantification Methodology for Large-Scale Systems

    Overview of Arbitrarily High-Order Adjoint Sensitivity and Uncertainty Quantification Methodology for Large-Scale Systems by Dan Gabriel Cacuci

    Published 2022-09-01
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  5. 5
    Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (4th-CASAM-N): I. Mathematical Framework

    Fourth-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems (4th-CASAM-N): I. Mathematical Framework by Dan Gabriel Cacuci

    Published 2022-02-01
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  6. 6
    Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems

    Advances in High-Order Sensitivity Analysis for Uncertainty Quantification and Reduction in Nuclear Energy Systems by Dan Gabriel Cacuci

    Published 2022-09-01
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  7. 7
    Computation of High-Order Sensitivities of Model Responses to Model Parameters—II: Introducing the Second-Order Adjoint Sensitivity Analysis Methodology for Computing Response Sensitivities to Functions/Features of Parameters

    Computation of High-Order Sensitivities of Model Responses to Model Parameters—II: Introducing the Second-Order Adjoint Sensitivity Analysis Methodology for Computing Response Sens... by Dan Gabriel Cacuci

    Published 2023-09-01
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  8. 8
    The Second-Order Features Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (2nd-FASAM-L): Mathematical Framework and Illustrative Application to an Energy System

    The Second-Order Features Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (2nd-FASAM-L): Mathematical Framework and Illustrative Applic... by Dan Gabriel Cacuci

    Published 2024-05-01
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  9. 9
    Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems

    Sensitivity Analysis, Uncertainty Quantification and Predictive Modeling of Nuclear Energy Systems by Dan Gabriel Cacuci

    Published 2022-09-01
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  10. 10
    Perspective on Predictive Modeling: Current Status, New High-Order Methodology and Outlook for Energy Systems

    Perspective on Predictive Modeling: Current Status, New High-Order Methodology and Outlook for Energy Systems by Dan Gabriel Cacuci

    Published 2023-01-01
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  11. 11
    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Critical Points in Coupled Nonlinear Systems. II: Application to a Nuclear Reactor Thermal-Hydraulics Safety Benchmark

    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Critical Points in Coupled Nonlinear Systems. II: Application to a Nuclear Reactor Thermal-Hydraulics Safety... by Dan Gabriel Cacuci

    Published 2021-01-01
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  12. 12
    On the Need to Determine Accurately the Impact of Higher-Order Sensitivities on Model Sensitivity Analysis, Uncertainty Quantification and Best-Estimate Predictions

    On the Need to Determine Accurately the Impact of Higher-Order Sensitivities on Model Sensitivity Analysis, Uncertainty Quantification and Best-Estimate Predictions by Dan Gabriel Cacuci

    Published 2021-10-01
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  13. 13
    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Critical Points in Coupled Nonlinear Systems. I: Mathematical Framework

    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Critical Points in Coupled Nonlinear Systems. I: Mathematical Framework by Dan Gabriel Cacuci

    Published 2021-01-01
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  14. 14
    The nth-order features adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems (nth-FASAM-L): I. mathematical framework

    The nth-order features adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems (nth-FASAM-L): I. mathematical framework by Dan Gabriel Cacuci

    Published 2024-08-01
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  15. 15
    Fourth-Order Comprehensive Adjoint Sensitivity Analysis (4th-CASAM) of Response-Coupled Linear Forward/Adjoint Systems: I. Theoretical Framework

    Fourth-Order Comprehensive Adjoint Sensitivity Analysis (4th-CASAM) of Response-Coupled Linear Forward/Adjoint Systems: I. Theoretical Framework by Dan Gabriel Cacuci

    Published 2021-06-01
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  16. 16
    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations: Mathematical Framework and Illustrative Application to the Nordheim–Fuchs Reactor Safety Model

    First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations: Mathematical Framework and Illustrative Application to the Nordheim–F... by Dan Gabriel Cacuci

    Published 2024-09-01
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  17. 17
    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (n<sup>th</sup>-CASAM-L): II. Illustrative Application

    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (n<sup>th</sup>-CASAM-L): II. Illustrative Appli... by Dan Gabriel Cacuci

    Published 2021-12-01
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    Article
  18. 18
    nth-order feature adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems: II. Illustrative application to a paradigm energy system

    nth-order feature adjoint sensitivity analysis methodology for response-coupled forward/adjoint linear systems: II. Illustrative application to a paradigm energy system by Dan Gabriel Cacuci

    Published 2024-09-01
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    Article
  19. 19
    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (n<sup>th</sup>-CASAM-L): I. Mathematical Framework

    The n<sup>th</sup>-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems (n<sup>th</sup>-CASAM-L): I. Mathematical Framew... by Dan Gabriel Cacuci

    Published 2021-12-01
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  20. 20
    Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Fredholm-Type Neural Integral Equations

    Introducing the Second-Order Features Adjoint Sensitivity Analysis Methodology for Fredholm-Type Neural Integral Equations by Dan Gabriel Cacuci

    Published 2024-12-01
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