Convex Sets and Functions

[@b.f.skinner4383]

8:30 for convex sets. This is honestly one of the most impressive lectures I've ever seen. It's no surprise India produces so many great mathematical minds, their teaching styles are so clear.

[@bishamkumardanuwar9827]

It's amazing teaching techniques,100% clear about convex set and functions. Thank you S.K Gupta sir.

[@muaaztariq3291]

u made this convex thing very easy . May God bless you.

[@SilvanaBuilesG]

Since I started seeing these topics in my class, I have understood nothing, but with youtr videos I think I am improving! :) thank you

[@bishaliitroorkee]

Same with me 😁

[@gabrielnicolosi8706]

Excellent! Approaching complex topics with simplicity yet rigorously!

[@mainz50483]

Brilliant series! Very helpful!

[@prafullsharma8029]

Wow...hats off ...this is a perfect example of theory and theory applied ....something which missing difficult to find...

[@qsfrankfurt9513]

Professor your style of explaining is both accessible and diligent. Would like to connect with you on LinkedIn...

[@ahsanhafeez349]

Very impressive lecture! 🙌

[@franciscovinueza5320]

Excellent video. Very well explained! Just one observation: try to zoom the material

[@gebriebelay8695]

what are the necessary and sufficient conditions of optimality for convex optimization?

[@akashdebnath3631]

great teacher.

[@karunakarchinnabathini]

@22:09 why the ratio is 1-lambda: lambda? Why not lambda: 1-lambda?

[@sirmuhammadikrampeerzada589]

Sir kindly give us a video about Hadamard inequility for convex function via integral function

[@flyingwings9969]

What is x_prime ? kindly explain all the notation also...wonderful lecture

[@saraman1231]

Excellent! Even though the slideshows don't stay on long the 8 "Unlike" are not justified at all!!

[@MOHANMOHAN-hr5ew]

namsty sir, i think in the Definition of Convex set , element(x1,x2) should be come from from set S not from whole R^n.

[@bipulmanipokhrel5749]

Exactly, I was also confused in this part. For anyone wondering, we are talking about the part 8:35

[@AhmedAdel-ec2pt]

Dear Sir What is the recommended textbooks for studying such optimization problems in more details?

[@flyingwings9969]

what do we call the lamda??

[@yawer6237]

What are applications of convex sets

[@AhmedAdel-ec2pt]

Thank you, Excellent explanation

[@jamalabdullahi8155]

I like this guy

[@laithalatyat4121]

Hi, how can you be reached with you

[@Yeahmansingh]

quite helpful

[@kamleshverma-s2w]

I did not understand the proof of 3rd property , rest explanation was awesome.

[@rahulrajeev398]

Try to zoom the camera

[@MathsMantrs]

Thank you sir

[@anujsharma-yr7lw]

Thanks sir 👍👌

[@deutsch_lernen_mit_kindern]

Thankyuu.. excellent job

[@Surendrasaini-n8q]

❤❤❤❤

[@mrinalsarma5857]

It's amazing

[@RadMatter_]

newbie here, what do you mean by f is a function from Rn to R?

[@sandipankarmakar]

Its mapping... That means f(Rn) gives a solution for the objective function in R if its single objective...

[@babyjunain7609]

For example f:R^2 > R can be defined as f(x1 x2) = x1+x2

[@chandrashekharsingh8387]

Thanks sir

[@muhammadseyab9032]

exellent

[@ruhaniyat_khwab]

Zoom it .... We can't see it even your slideshow is so fast.... Atlst wait for us to read

[@chiragmittal3313]

increase the quality

[@ruhaniyat_khwab]

@@chiragmittal3313 already increased . The space between camera and board and slideshow is too much.... When u are explaining it, it should be infront of screen....

[@avinashdwivedi2015]

Pause it and see..

[@UREngineer7]

sir plz zoom in