Global Sensitivity Analysis

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  • เผยแพร่เมื่อ 8 ก.ย. 2024
  • In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Now these lectures and notes serve as a standalone book resource.
    github.com/Sci...
    Chris Rackauckas, Massachusetts Institute of Technology
    Additional information on these topics can be found at:
    sciml.ai/ and other Julia programming language sites
    Many of these descriptions originated on www.stochastic...

ความคิดเห็น • 5

  • @todorantonijevic4833
    @todorantonijevic4833 10 หลายเดือนก่อน

    Flashback from my MSc in Physics 12 years ago. Thank you very much for sharing.

  • @sitingmiao6004
    @sitingmiao6004 3 ปีที่แล้ว +5

    Thank you so much for your clear explanations. Would it be possible to share the handout? Many thanks!

  • @JZL003
    @JZL003 2 ปีที่แล้ว

    Wow this is great, very helpful

  • @haniezarafshani9785
    @haniezarafshani9785 3 ปีที่แล้ว +2

    thank you very much. so useful:)

  • @AmitKumar-si3ri
    @AmitKumar-si3ri 2 ปีที่แล้ว

    Dear Sir, how to perform different trajectories at the same time parallely in morris method.. As stated in the primer , P∗ is a k-by-k random permutation
    matrix in which each row contains one element equal to 1, all others are 0, and no two columns have 1’s in the same position. P∗ gives the order in which factors are moved. How to create a different ordered P* matrix each time for each trajectory