Now showing items 1-3 of 73

    • Leveraging the Linear Response Theory in Sensitivity Analysis of Chaotic Dynamical Systems and Turbulent Flows 

      Sliwiak, Adam Andrzej (Massachusetts Institute of Technology, 2023-06)
      The linear response theory (LRT) provides a set of powerful mathematical tools for the analysis of system’s reactions to controllable perturbation. In applied sciences, LRT is particularly useful in approximating parametric ...
    • Modeling Feedback Effects of Transient Nuclear Systems Using Monte Carlo 

      Kreher, Miriam A. (Massachusetts Institute of Technology, 2023-06)
      Monte Carlo neutron transport is the gold standard for accurate neutronics simulation of nuclear reactors in steady-state because each term of the neutron transport equation can be directly tallied using continuous-energy ...
    • Learning Mixed Multinomial Logit Models 

      Hu, Yiqun (Massachusetts Institute of Technology, 2022-09)
      Multinomial logit (MNL) model is widely used to predict the probabilities of different outcomes. However, standard MNL model suffers from several issues, including but not limited to heterogeneous population, the restricted ...