NLPP | Inequality Constraints | KKT Conditions

[@crazy2hell]

I watched all the non linear optimisation videos, and I gotta say you have done a very good job at explaining the concepts, Well done!

[@abhishekparoha4066]

best playlist for optimization

[@cotolliusegundo1331]

It is me or the condition 3a for the second example is not meet? since x1-x2>0

[@alexanderjosmith]

she also calculated X2 wrongly, I believe. X2 should be 4/ (2sqrt(5))

[@husseinbouzid7821]

exactly it's not fulfilled

[@akargautam5914]

@@alexanderjosmith bro 2 gets cancelled from the denominator

[@saisrinivaspatnam15]

3:13 -kkt necessary and sufficient conditions 4:07 -convert max to min (function to be optimized) 4:28 -example 1 14:49 -example 2

[@tr233]

As soon as somebody start to work on KKT conditions its always get messy.

[@istiakadnan1201]

if the constraints contain a greater than or equal to inequality will the procedure be the same??

[@istiakadnan1201]

or we need to convert it less than equal to by multiplying to -1?

[@rohanfred]

The last problem is giving optimal points as x1 = sqrt(2) and x2 = sqrt(2) also checked in Wolfram, this happens when both lambda1 and lambda2 are not equal to 0. Would really help if you could throw some light.

[@amatoallahouchen5894]

nice explanation, thanks!

[@udaygupta929]

Correct answer is -3 root 2

[@padlobhai]

got the same...thanks

[@kuladeepakkarapaka7794]

Mam, if the sufficient condition is not met still we can use KKT to find local minima value??

[@omop5922]

Did u get the answer?

[@kuladeepakkarapaka7794]

@@omop5922 i think function to be a convex is a sufficient condition not necessary we can still solve the function if it isnot covex we get local minima

[@omop5922]

@@kuladeepakkarapaka7794 my exam is over 🙃

[@it.b.61.prashantsingh87]

@@omop5922 which exam u were preparing for ...?

[@omop5922]

@@it.b.61.prashantsingh87 Jo hona tha hogya bhai soja