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    Cover of Computational fluid dynamics

    Computational fluid dynamics

    John F. Wendt, John Anderson · 1996

    Mathematics
    Open Library
    Stats for nerds
    1recommend
    2mentions
    2people
    2019–2022years
    50% recommend50% neutral

    Mentions per year

    2019202020212022

    What Hacker News says

    1. mechhackerDec 2019
      Off topic, but if you're interested in fluid simulations and want to learn more about how they are actually made, John D Anderson's book on Computational Fluid Dynamics is worth working through.

      It's been quite some time but I remember going through it in Matlab to make small, numerical simulations in the book.

      The problem with fluids is that it's a very complex branch of physics with many gotchas and many difficulties that you must navigate through, often blindly, to get a reasonable approximation to a solution.

      The fluids specialists I worked with on the past almost always needed actual physical tests to prove out their engineered designs, rework simulations, etc.

      thread
    2. yesenadamJan 2022
      Toffoli[0] & Margolus’[1] Cellular Automata Machines (1987) is the CA bible, I guess. Andrew Adamatsky edited the encyclopedic Cellular Automata (2018). Ed Fredkin's[2] stuff on reversible CA is fascinating. Gerard Vichniac[3] wrote some great papers in the 80s, e.g. Simulating Physics with Cellular Automata (1984). Kenichi Morita[4] papers. Rudy Rucker[5] has written a lot of stuff on 1 and 2D CA, and worked as a CA programmer. Etc. There are a lot of papers. The very common finite element method of solving differential equations and PDEs is basically the same thing as CA - see e.g. Anderson's Computational Fluid Dynamics.

      Attractors and approximations for lattice dynamical systems by Shengfan Zhou, 2002.

      1954's Studies of Nonlinear Problems by Fermi, Ulam, Pasta, featuring a 1D CA. https://www.cs.princeton.edu/courses/archive/fall02/cs323/li...

      Noether's theorem comes up frequently - that every symmetry of the system corresponds to a conservation law.[6]

      Smooth Life is Stephan Rafler's very cool version of CGOL with every discrete aspect turned into a continuous one.[7]

      [0] https://en.wikipedia.org/wiki/Tommaso_Toffoli

      [1] https://people.csail.mit.edu/nhm/ https://en.wikipedia.org/wiki/Norman_Margolus

      [2] https://en.wikipedia.org/wiki/Edward_Fredkin

      [3] https://scholar.google.com.au/scholar?as_vis=1&hl=en&q=gerar...

      [4] https://scholar.google.com/citations?user=kujUxFYAAAAJ&hl=en

      [5] https://en.wikipedia.org/wiki/Rudy_Rucker

      [6] https://en.wikipedia.org/wiki/Noether%27s_theorem

      [7] best video of SmoothLife https://www.youtube.com/watch?v=KJe9H6qS82I

      https://sourceforge.net/projects/smoothlife/files/

      This slideshow by Rafler contains the best, most complete explanation of it I've found: https://www.youtube.com/watch?v=iyTIXRhjXII

      Shadertoy version https://www.shadertoy.com/view/XtdSDn

      thread

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