Newton's Method for constrained optimization problems

[@lorenzmichael7366]

Super nice derivation of the matrix from Lagrange. Thank you!

[@sujitm2727]

Highly underrated

[@tuongnguyen9391]

Why is it underated ? What make this video stand out ?

[@beitexue2490]

Clear explained 👍

[@AJ-et3vf]

Great video. Thank you

[@blxc1shcr10]

h is linear or nonlinear?

[@blxc1shcr10]

It is explained at 8:00 but it's not very clear.

[@matthewjames7513]

@@blxc1shcr10 nonlinear, but he makes a linear approximation for h

[@englishvinglish3335]

@@matthewjames7513 so can it be used for non linear ?

[@matthewjames7513]

​@@englishvinglish3335 This method is capable of solving a nonlinear optimization problem subject to nonlinear equality constraints. h(x) is a set of equality constraints. For example h1(x) = sqrt(x1*x2) = 0 h2(x) = e^x1 = 0