I really want to say that I just arrived from school, super tired and exhausted and questioning why I even started this. Watching the notification sheered me. It reminds me of how mush I improved over the years and the fact that I can watch such content and appreciate the intuition behind it is everything ✨
Amazing video. In the past few months I've been searching now and then for explanations about backward Euler - how it works and why it's better. Finally I have a slightly better grasp of the equations. Thank you!
Thankful for: (1) (t) completeness, (2) Explanation/relation back to Taylor Series, (3) Indexing as a bridge towards code/scripting (4) Summary at 22:38 shows real clarity in your process.
I have a silly question. At 18:50, on the right column, if we plug in f(xk+1) of backward Euler to X_{k+1} = X_k + \delta_t f(X_{k+1}), isn't that the same as forward Euler? the notation of f(x_k+1) also is not consistent with definition of f(x_k) on the left column
Is there any study on combining forward and backward such as multiplying them to get x_(k+1) = sqrt((I + dtA)/(I - dtA)) x_k = |I+dtA|/(I - dt^2*A^2) x_k and iterating: x_(k+1) = x_k + dt f(x _k + dt f(x_k)) etc
Thank you very much... ❤🖤🤍. you talked about the analysis of error for linear dynamics equations... but how about nonlinear dynamics equations? is there any analytic method to describe the error of numerical integration in the case of nonlinear systems?
I really want to say that I just arrived from school, super tired and exhausted and questioning why I even started this. Watching the notification sheered me. It reminds me of how mush I improved over the years and the fact that I can watch such content and appreciate the intuition behind it is everything ✨
Amazing video. In the past few months I've been searching now and then for explanations about backward Euler - how it works and why it's better. Finally I have a slightly better grasp of the equations. Thank you!
Thankful for: (1) (t) completeness, (2) Explanation/relation back to Taylor Series, (3) Indexing as a bridge towards code/scripting (4) Summary at 22:38 shows real clarity in your process.
This is present in CFD software, Implicit and Explicit time stepping.
look how many times this great video liked so far just 388. if this was a nonsense video it would have been watched millions of times.
I have a silly question. At 18:50, on the right column, if we plug in f(xk+1) of backward Euler to X_{k+1} = X_k + \delta_t f(X_{k+1}), isn't that the same as forward Euler? the notation of f(x_k+1) also is not consistent with definition of f(x_k) on the left column
incredible! Thank you so much
Is there any study on combining forward and backward such as multiplying them to get x_(k+1) = sqrt((I + dtA)/(I - dtA)) x_k = |I+dtA|/(I - dt^2*A^2) x_k and iterating: x_(k+1) = x_k + dt f(x _k + dt f(x_k)) etc
excellent but maybe do a simple example to each
Most of the practical systems have control input u. How to solve the implicit Backward Euler when x dot = Ax + Bu?
Is this idea of finding trajectory is at all relevant to path integrals?
Hi, i loves your lectures, but I am curious to know how you make these videos.. mirror?
He uses a clear whiteboard with camera, then reflects video over y axis in post.
How is the writing on the board? Is he behind glass? Can't because then he would have to write everything backwards.
We’re looking into a mirror that’s looking back at a piece of glass which he’s writing on
Maybe he flips the video in post processing
@@stonechen4820 That makes sense. But then wouldn't you see the camera in the mirror?
is a RK4 method video coming?😂
I fucking hate numerical methods
i love numerical methods
It's awesome if you know what you can do with it, e.g. optimization, or simulation. But I guess that's true for most maths.
Thank you very much... ❤🖤🤍.
you talked about the analysis of error for linear dynamics equations... but how about nonlinear dynamics equations? is there any analytic method to describe the error of numerical integration in the case of nonlinear systems?