This is great. People need to understand physics is not just memorizing a bunch of formulas but actually perceive that it is mathematics applied to model our real world, so i think it plays a major role in our development as humans.
You seem like the last in the line of true Physicists: normal people who can joke, swear, have quirks, aren't easily categorised but are incandescent as a result of their passion for Physics. Your videos really are illuminating and they do make me a better Physicist myself. I'm actually a Doctor of Plasma Physics, although you'd never know from this account.
Very useful diverse methods for Modelling a Pendulum specially for Control Systems Engineers and Scientists. Besides, Newton 2nd Law, Angular Momentum and Torque Equations, Hamiltionan Mechanics, Differential Equations by Numerical Methods [Euler, Runge Kutta....], Euler Lagrange Equations I will add the sixth one: Neural Network Inverse Modelling and a seventh one: System Identification - Parametric Estimation [System ID]. Great video , very useful !! Pd. Please, what is the name of the Physics Professor so I can follow him on the networks? Thank You.
Hello there. Excellent video, by the way. I just wanted to ask if you will work on that video talking about how you do the pedulum and spring animations with Python, as you've stated. First time I watch your content and I am amazed by your dedication and obvious love for Physics. Thanks!
great video but I didn't understand how you translated the net vector force in the last method to a numerical approximation of the position. Seeing the original code would be helpful.
maybe you are thinking about the potential energy? But then, it depends on where you set y = 0, I put y = 0 at the pivot. If you redefine y =0 at the bottom, you get the same equation in the end.
It shouldn't be too hard to use \mathcal{L} for Lagrangian in the script that generates the equations, cut out the discussion of the ambiguous variable, and thus fix the video.
This is great. People need to understand physics is not just memorizing a bunch of formulas but actually perceive that it is mathematics applied to model our real world, so i think it plays a major role in our development as humans.
Loved it. Going through advanced mechanics right now and this is a great example to show all the methods.
You seem like the last in the line of true Physicists: normal people who can joke, swear, have quirks, aren't easily categorised but are incandescent as a result of their passion for Physics. Your videos really are illuminating and they do make me a better Physicist myself. I'm actually a Doctor of Plasma Physics, although you'd never know from this account.
thanks for the feedback. I'm glad you enjoyed - I obviously have lots of fun talking about physics.
Very useful diverse methods for Modelling a Pendulum specially for Control Systems Engineers and Scientists. Besides, Newton 2nd Law, Angular Momentum and Torque Equations, Hamiltionan Mechanics, Differential Equations by Numerical Methods [Euler, Runge Kutta....], Euler Lagrange Equations I will add the sixth one: Neural Network Inverse Modelling and a seventh one: System Identification - Parametric Estimation [System ID]. Great video , very useful !! Pd. Please, what is the name of the Physics Professor so I can follow him on the networks? Thank You.
Hello there. Excellent video, by the way. I just wanted to ask if you will work on that video talking about how you do the pedulum and spring animations with Python, as you've stated. First time I watch your content and I am amazed by your dedication and obvious love for Physics. Thanks!
😱 omg, for the first time I actually understood it.
wow, well explained, thank you for the work!
Thanks
thank you very much!!
Excellent video
Thank you very much!
Nice video. Always enjoyable. :)
I want to build pendulum in my room and make it swing automatically I like your channel very much
great video but I didn't understand how you translated the net vector force in the last method to a numerical approximation of the position. Seeing the original code would be helpful.
Isn't the kinetic energy L(1-cos()) since it's the height taken away from the bottom?
maybe you are thinking about the potential energy? But then, it depends on where you set y = 0, I put y = 0 at the pivot. If you redefine y =0 at the bottom, you get the same equation in the end.
please remake the video
It shouldn't be too hard to use \mathcal{L} for Lagrangian in the script that generates the equations, cut out the discussion of the ambiguous variable, and thus fix the video.