Bordered Hessian/Second order Condition for Constrained Optimization/NPA Teaching/Dr.Abdul Azeez N.P

[@economicsowl630]

Ek Bar Mein samajh mein a Gaya Sir ji

[@Darth_Cassius_]

Great content

[@unorthodoxunorthodox8136]

Sir I am quite doubtful, I have read H0 This video contradicts that theory.please reply..

[@abrahamyrn]

I was trying to figure out the same but from my understanding I think , fxx0 is for maxima when there is no constraint and vice versa And H>0 is for maxima when you have a constraint

[@moizmaner6582]

Very simply explained!

[@npateaching5804]

Who are you.? What are you doing?

[@moizmaner6582]

@@npateaching5804 I am a third year student studying Bsc.Economics at NMIMS.

[@supunifernando3117]

Thank you.It is clearly understood

[@alekhayachakraborty3701]

Excellent sir!!

[@yashmaheshwari5878]

Useful video

[@bindhujab447]

Sir, in bordered hession whether we have to find out the critical points? That is, the value of x,y and lambda

[@janenganga8032]

Good explanation

[@nani2155]

Bless you

[@maxchetwin6956]

Thank you for your service

[@Uniquethings6360]

Nice job

[@tariqueanwer9867]

Nice explain sir

[@tracymlachila3935]

More than clear Thanks

[@zebagaurii64]

Nice way to expressing each and every concept sir

[@npateaching5804]

Keep watching

[@tinyasira6132]

sir how the value of gx n gy becomes -1? isn't it 1? please explain tomorrow is my exam

[@gukkeditstutorials9179]

In constraint funtion its -x so when taken derivative it becomes -1

[@mahmoudfaouzichaoubi5855]

Thak you =شُكرا

[@Sadia-gr6du]

Assalamualikum. I have a confusion about gx and gy value. If we take gx and gy value from subject to function x+y=72, gx is 1 and gy also become 1.But when we take gx and gy value from Lagrangian function, gx and gy become -1.In this two way, the values of second order condition bordered Hessian are same.

[@saadkhan-jz4bi]

how we take determinate of border hessian kindl explain

[@Aneela_Corner]

Why we don't use hessian ?? Why we move to boarded hessian matric ?? Tomorrow is my paper please clarify this🥺🥺

[@npateaching5804]

Hessian is used In the case of unconstrained optimization of a multi-variable function that means optimisation of function without constraints. When we have constrained optimization of multivariable function i.e. the problems for which a function is to be minimized or maximized subject to a given constraints, the Bordered Hessian is used to check second order conditions for optimisation

[@Aneela_Corner]

@@npateaching5804 Jazak Allah👍🏻

[@kelecsenyizoltan274]

Thank you! Vers good!

[@phreshono]

G(x) and G(y) should be 1 and not -1. The constraint is x+y=72

[@sajitha1168]

Sir can you please upload a video on difference equation ?

[@rohitram4987]

Thank you sir

[@madisjallow3105]

thank you

[@archismandhar]

if the hessian is lesser than 0 than the func is maximum

[@Mel-qn6mq]

Where did you get 8(-1)+2(-1)-1(2+12) from?

[@npateaching5804]

If you find determinant of a given matrix, then you will find it.

[@mohdkaleel6992]

hi