Explaining Stanford's Applied Math PhD Qualification Exam (PART ONE)

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  • Опубликовано: 5 июл 2024
  • Have you ever wondered what’s on the Applied Math PhD Qualification Exam At Stanford?
    Well this video is going over that! This is Part One Of Two, covering the analytical section. Please like and subscribe for more videos!
    Twitter: @jacobrintamaki
    Link To Part Two: • Explaining Stanford's ...
    Link To Stanford Math PhD Qualifying Exam Syllabus: mathematics.stanford.edu/acad...
    References:
    - Evans, Partial differential equations, AMS.
    - Øksendal, Stochastic differential equations: an introduction with applications, Springer.
    Time-Stamps:
    0:00 Introduction
    1:16 Elliptic PDEs/Laplace Equation
    2:03 Poisson Equation
    2:37 Green’s Function (Elliptic)
    4:39 Parabolic PDEs
    5:10 Heat Equation
    6:14 Green’s Function (Parabolic)
    7:33 Random Walks/Brownian Motion
    8:25 Connection To Parabolic PDEs
    9:26 Hyperbolic PDEs
    10:12 Wave Equation
    11:00 1-D Schrodinger Equation
    11:42 Hamilton-Jacobi Equations
    13:25 Conservation Laws
    13:51 Shocks
    14:38 Weak And Entropy Solutions
    15:29 Lax = Oleinik Formula
    15:57 Stochastic Modeling
    16:19 Brownian Motion (Wiener Process)
    17:25 Stochastic Integral
    18:21 Ito’s Formula
    19:03 Stochastic Differential Equations
    19:39 Forward Kolmogorov Equation
    20:22 Backward Kolmogorov Equation
    20:52 References
    #math #phd #education #stanford

Комментарии • 6

  • @jacobrintamaki
    @jacobrintamaki  4 дня назад +1

    Time-Stamps:
    0:00 Introduction
    1:16 Elliptic PDEs/Laplace Equation
    2:03 Poisson Equation
    2:37 Green’s Function (Elliptic)
    4:39 Parabolic PDEs
    5:10 Heat Equation
    6:14 Green’s Function (Parabolic)
    7:33 Random Walks/Brownian Motion
    8:25 Connection To Parabolic PDEs
    9:26 Hyperbolic PDEs
    10:12 Wave Equation
    11:00 1-D Schrodinger Equation
    11:42 Hamilton-Jacobi Equations
    13:25 Conservation Laws
    13:51 Shocks
    14:38 Weak And Entropy Solutions
    15:29 Lax = Oleinik Formula
    15:57 Stochastic Modeling
    16:19 Brownian Motion (Wiener Process)
    17:25 Stochastic Integral
    18:21 Ito’s Formula
    19:03 Stochastic Differential Equations
    19:39 Forward Kolmogorov Equation
    20:22 Backward Kolmogorov Equation
    20:52 References

  • @Andre-fm9zx
    @Andre-fm9zx 4 дня назад +1

    loved the explanation of what a green function is!

  • @pauljnellissery7096
    @pauljnellissery7096 3 дня назад +3

    Hey Jacob, these videos are really cool and informative. Please do more on differential equations. Thanks

  • @imeprezime1285
    @imeprezime1285 12 часов назад

    I've never heard of such

  • @adrianzyskowski1989
    @adrianzyskowski1989 4 дня назад +2

    crazy value