Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms (Springer Optimization and Its Applications Book 133) Book Price in India, Specifications, Reviews & Offers. Buy online at Amazon.

Thanks, very simple and clear
Good faith videos that keep things concise and to the point. Thank you
amazing youtu.be/5vnw1YA-gmI
Thanks alot. The best explanation
Thanks sir 💜💜
Very good explanation..thanks
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U done great work in short time. U help to introduce. Optimization in best ways thanks sir
Thanks! Mine area is structural optimisation
Extremely great video Thanks a lot for beautiful illustration
Wow great work please give some reference to improve your work 👍
hello... sir, what exactly the main function of a computer in optimizing?? can you tell me what is it? is there really the main function in optimizing?? please?? I'm searching for an answer for this manny times but no one can answer my question...i think there is no such a main thing function on a computer in optimizing..
You would not believe me but I have been looking for an interpretation of why do we use derivatives when we already have a function and can plug in any value to know the output and finally a video that answered my question I have been looking for an answer for months
Thank you so much for the transcript. I needed it for my homework. I'll put you in my references ;)
Quick question. How can I find the Domain or Interval of interest?
Kindly solve problem like 5 central warehouse and 9 regional warehouses and 2 plant. It is minimum cost type problem. Also please solve in excel solver
it's very helpful thanks
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I just came across this video, played the whole list and excited to know more about Optimization. Thank you...
fantastic explain
thank you please help me
Your videos are excellent! 10 / 10 !
simple and the best to grab the concept. thanks for this video
Hello sir ,isnt the slope =dy/dx rise over sun?
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Thank you!
This is an amazing video! Here is my tutorial on Stochastic Gradient Descent with code explanation (in python). Hope it could be of help too. https://youtu.be/uXuBUkW_0tA
I'm currently in a graduate numerical methods course for mechanical engineers and I must say, as someone who doesn't have a math background, the visual analogy was very helpful! Thank you, you've brought me one step closer to grasping this stuff!
thank you for that :) i would like to know why (0,0) point is the minimum value ? what if we choose a values that goes in -x and -y , is that mean the (0,0) is not always the minimum value ?
Thank you
it helped me a lot! thank you for your video
that is very helpful , thankyou
you're so amazing
what's the meaning of solver here? sorry, because my first language is not english , so i can't understand...
Hello. First thanks for the vivid video and explanation! I just have a doubt about the formula of slope shown at 2:19 where slope = delta_x / delta_y. I think it should be slope = delta_y / delta_x
Thank you so much for such a helpful video! May I ask what software setup you used to create illustrations and images on the screen and to edit the video?
thanks a lot
Thank you!! Very useful primer
Nice video AlphaOpt. I would like to help to point out that the slope equation in 2:20 is mistyped. I hope it helps. Thanks.
many thanks! please upload more videos! there are very helpful, especially for students!
Sir, can you please point to the playlist
Thanks sir
Thank you so much sir
Thank you sir. I have listened to your NPTEL lectures on calculus and optimization. The motivation that you give on any concept is amazing. Waiting for the machine learning lectures!
Sir, Is there any prerequisite for taking this course? Thank you sir.
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