Mod-01 Lec-01 Convex Optimization

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  1. nptelhrd
  2. Convex Optimization
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What a beautiful lecture it is, thanks Prof. Dutta. It's a great introduction on Convex Optimization. The lecture takes you from the very basic of defining a global/local minimum of a function to deriving the necessary conditions for a function to have a minimum evaluated at a certain point. The Mathematics although rigorous but have been explained in a most logical and lucid terms so that you fall in love with it. The best part of this lecture was how it sets up the platform to explore questions like What is Convex optimization and what's the need of that and the boundary of this course. Thanks a lot.

suvrobanerjee
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Loved this series, helped me a lot while studying optimisation in machine learning

wamiqmushtaq
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Dear Abhilash. The function at 3: 55 is indeed continuous and is nice since it is piecewise linear. I would be happy if you let me know what are the vague statements you have found. For an optimizer it is the discontinuous functions that are not nice because there really no good ways to handle them. Here the function is piecewise linear and continuous and you have algorithms to find an approximation to the local minimum.

kamrupexpress
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I enjoyed your lecture. Thanks for the thorough explanation

eechaze
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Dear Sir, @44 .03 o||λw|| = λ, although implicitly understood, could you please prove it as you said the norm of the vector multiplied with order is the order itself . Sorry, not explicitly clear on that part. Else it's an excellent explanation overall

swapanb
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Great lecture... Explained everything in detail

vishnuav
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Sir,
Can you point to any Textbooks as a recommendation to supplement the lectures?
Thank You

TheCrmagic
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@47:41 it is not necessary condition e.g take y = |x|.

shivkrishna
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Dear sir
I am a big fan of your lectures.but I have a suggestion.All the IIT maths videos are very abstract in nature.after sometimes we feel that we are doing something among symbols, but so intense mathematical session is not good for engineers, because I think they forget about physical realities at all.
while if you see standford convex optimization or Alex smola phd level machine learning videos or even a very simple economics optimization videos available on youtube, you will find that they are smart to integrate both things.I am sorry if you feel it is not a good idea.I advise you to delete the comment in that case. 

dr.wazihahmad
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@3:55 the function is nice and continuous? lectures must stop using vague and wrongs descriptions!

aalibash