Finding the line of best fit using the Nonlinear Least Squares method. Covers a general function, derivation through Taylor Series.
Пікірлер: 29
@joseguerrero42 жыл бұрын
You explanined in 10 min what my proffesor could't in two weeks
@morrismbuba7633 жыл бұрын
What a good explanation? Really got the point Prof.
@kupo8715 жыл бұрын
Love the videos!
@gththcoc60102 жыл бұрын
thank you man, that was an excellent explanation
@SalehGoodarzian Жыл бұрын
Thank you for your detailed explanation of this method. After learning this method, I tried to write a code to do this example that you introduced here. As you rightly mentioned, initial guess is very important, particularly for c2. By looking at the data, we can have an idea of c2, that is related to the period of the cosine curve. If c2 is guessed too low or too high, the algorithm won't converge, it must be close to the true value...Thank you again for your great video. Educational, detailed, and very helpful.
@rishabhsangal51553 жыл бұрын
This was really helpful sir. Thank you :-)
@elshaday98603 жыл бұрын
That was very helpful ; Thankyou very much,,,
@ParniaSh3 жыл бұрын
Well explained! Thanks
@inigomeniego49064 жыл бұрын
Really cool!
@nmana97593 жыл бұрын
Thank you so much! Can you please explain more about Gauss-Newton and Levenberg-Marquardt algorithms?
@machotravis3 жыл бұрын
Thank you!!
@FreeThiinker5 жыл бұрын
You are Amazing !
@gabrielomorotionmwan69944 жыл бұрын
ZERO-X please prof. How do I get the real value of c from the calculated changes in c. Will I add or subtract
@alb29353 жыл бұрын
Can you do this for a function with 2 variables e.g f(x,y;a,b) and g(x,y;c,d)
@konstantinmetodiev68883 жыл бұрын
How do you make initial guess for the Ci prime vector (3:40)? Do these values affect the solution convergence? Thank you.
@PostcardProfessor3 жыл бұрын
If you have a poorly behaved system, it's definitely possible for the initial guess to affect convergence. The simplest method of guessing good initial values is to do a brute force grid search over possible values, then choose a vector that results in a low residual as your starting guess. This method may prove intractable for systems with large numbers of parameters.
@haniffshazwanss57204 жыл бұрын
hey there. great video. just wondering how many parameters should we put? does it really matter no matter how many parameter we put in?
@PostcardProfessor4 жыл бұрын
The more parameters, the more computationally expensive it is, but the method will work with any number of parameters. Ideally, you use as few as possible to get a good fit.
@Guide4Ever4 жыл бұрын
You have y(x) yet x is never in equation on the right side ?
@inigomeniego49064 жыл бұрын
I think he called it "t" later on, he got confused
@lucashyvarinen246Ай бұрын
how does iteration work for this?
@matthewjames75132 жыл бұрын
I'm not sure if this is a typo but you write "t" instead of "x" consistently throughout the video.
@johnyoung94833 жыл бұрын
Nice Aggie Ring! Thanks & Gig em AERO 23'
@gameggh67024 жыл бұрын
Is c1,c2 and c3 are known variable?
@rvoros4 жыл бұрын
c1, c2, c3 are unknown, we have an initial guess for them then we iteratively improve c1, c2, c3 by adding dc1, dc2, dc3. The notation could be more elaborate by giving them an iteration index in the superscript
@hayatullah31354 жыл бұрын
@@rvoros what is dc1, dc2 etc?? i mean how much change should be added to the previous parameter..
@mehmedhezenci7224 жыл бұрын
İf you know these variables, you cannot fit curve. Because , you will have one curve