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!!!
@1998flash3 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 !
@sunrunneri90013 жыл бұрын
This is exactly the stuff i need to learn to pass this semester. Keep it coming
@jithin.johnson3 жыл бұрын
what course are you doing?
@gcslksd3 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
@znswanderer3 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.johnson3 жыл бұрын
Quality content !! ❤️ Keep it coming !! 🔥
@amsal19983 жыл бұрын
Why do we like dealing with dimensionless quantities? Does it improve numerical accuracies in the intergrator?
@MrPSolver3 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.
@johnwu59083 жыл бұрын
Superb
@johnwu59083 жыл бұрын
Is there a way that sympy does ode to vectorfield automatically? Like in Matlab?
@aliexpress.official3 жыл бұрын
Dude can't miss
@tiagosilva1286 Жыл бұрын
Is it possible to rewrite a code made in Wolfram Mathematica using sympy?
@akashssmenon2 жыл бұрын
lol. I also name variables yeet when I run out of names
@حيدرالعبيدي-ج4د3 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.
@marcustacitus3 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.