Double Pendulum: Analytically Finding Resonance Frequencies with Sympy

  Рет қаралды 7,070

Mr. P Solver

Mr. P Solver

Күн бұрын

Пікірлер: 18
@hsh7677
@hsh7677 3 жыл бұрын
This is a high quality content. This is exactly what I was trying to do!! Thank you very much. Please keep posting more videos like this. I’m a big fan of your content!!!
@1998flash
@1998flash 3 жыл бұрын
Just graduated on Thursday, but I love learning and your videos feel like a continuation of Vibrations and Dynamic Systems. Hope this channel keeps on growing !
@sunrunneri9001
@sunrunneri9001 3 жыл бұрын
This is exactly the stuff i need to learn to pass this semester. Keep it coming
@jithin.johnson
@jithin.johnson 3 жыл бұрын
what course are you doing?
@gcslksd
@gcslksd 3 жыл бұрын
Incredible, i just had to do this for a 100 pendulums and a couple days of my sanity, but this channel helped me a lot
@znswanderer
@znswanderer 3 жыл бұрын
Another great video! Really liked the sympy stuff: I had no clue one can introduce approximations like that (like $sin(x) \approx x$ for small x) directly in sympy. Thanks!
@jithin.johnson
@jithin.johnson 3 жыл бұрын
Quality content !! ❤️ Keep it coming !! 🔥
@amsal1998
@amsal1998 3 жыл бұрын
Why do we like dealing with dimensionless quantities? Does it improve numerical accuracies in the intergrator?
@MrPSolver
@MrPSolver 3 жыл бұрын
Because we can then scale our problem to have dimensions afterwards. For example, you solve a dimensionless problem where the second pendulum arm is 4x longer than the first in dimensionless units. So your dimensionless lengths are (1,4). That means it applied to (1cm, 4cm) long arms (1m, 4m) long arms and even (10m, 40m) long arms. Nothing to do with numerical accuracy per se. That being said, if you were dealing with a problem that had really big units (e.g. you decided to measure your pendulum arms as 10^9 nanometers) then you may see some increase in numerical precision and speed for more complex algorithms (such as large matrix inversion). In other words, it's good to standardize based on the dimensions of your problem.
@johnwu5908
@johnwu5908 3 жыл бұрын
Superb
@johnwu5908
@johnwu5908 3 жыл бұрын
Is there a way that sympy does ode to vectorfield automatically? Like in Matlab?
@aliexpress.official
@aliexpress.official 3 жыл бұрын
Dude can't miss
@tiagosilva1286
@tiagosilva1286 Жыл бұрын
Is it possible to rewrite a code made in Wolfram Mathematica using sympy?
@akashssmenon
@akashssmenon 2 жыл бұрын
lol. I also name variables yeet when I run out of names
@حيدرالعبيدي-ج4د
@حيدرالعبيدي-ج4د 3 жыл бұрын
Hello..I am a PhD student in physics from Iraq..I hope you can help me find codes in the Python program to study the Fe(II)particle (ising model 2D)to determine the spin crossover of the electrons and find the energy..with many thanks to you.
@marcustacitus
@marcustacitus 3 жыл бұрын
This is really intersting. I loved Lagrangean mechanics at university. I tried to do something similar for a coupled string/spring pendulum as in "Superposition of oscillation on the Metapendulum: Visualization of energy conservation with the smartphone " or kzbin.info/www/bejne/harVaKZ4r9hnmbs . Unfortunately, I don't have much much experience in solving ODEs with python and the solver runs into problems. Maybe that would be a worthwhile project for the future. Thanks for the cool physics videos.
@zaryangupta
@zaryangupta 3 жыл бұрын
how old are you?
@caleb7799
@caleb7799 3 жыл бұрын
why are you screaming!
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