Lecture 50 - Gauss Newton Method for NONLINEAR LEAST SQUARE PROBLEM

[@candywhite90]

I hope you were my Mathematical Analysis teacher! Very clear!

[@huyyre1]

I think your J(x) is Transpose(J(x)) the way it is written.

[@cfl9077]

very concise and clear, bravo

[@gulshankaur7323]

You explained well but can u explain about 3 variables for example to fir a circle using the least square method

[@mixture1779]

Plz provide the solution of question which you wrote in last of lecture

[@dhruvthakur5795]

i still donot understand it. how do I do it?

[@AJ-et3vf]

Great video. Thank you

[@minakshi8919]

THANK YOU SIR

[@Atractors]

Thank for you! I like your explanation 😊, very convenient! Good new material this theme and other.

[@SukantaNayakedu]

Thank you.

[@lancelofjohn6995]

why does JTJ exist?

[@chun-julee6942]

Excuse me but the Jacobian Matrix was written wrong sir!

[@niranjanchavan8513]

minimization statement is also wrong.

[@tatsatsingh_0502]

tu padha le fir

[@the7mole]

I really appreciate you for this lecture, but ı have a question. you start to expalain Newton Method first, but how you combine with it Gauss, and became Gauss Newton Method?

[@SukantaNayakedu]

If you see the explanation again, you can find that technically the formulas are same. For Gauss Newton method, we have derived the Hessian matrix and gradient then replaced in Newton's method.

[@the7mole]

@@SukantaNayakedu ok,i got it, thank you very much 😃

[@the7mole]

and last question, why you didnt take the inverse of 2 which belongs to Hessien matris? 2 is not in the bracket of Hessien in final form of formula bu 2 is there in Hessien formula above

[@SukantaNayakedu]

Correct it accordingly. Thank you.

[@the7mole]

@@SukantaNayakedu I thank you very much