Steepest Descent Method (Unconstrained Optimization)

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  • เผยแพร่เมื่อ 25 ธ.ค. 2024

ความคิดเห็น • 8

  • @capsbr2100
    @capsbr2100 22 วันที่ผ่านมา +1

    Cannot believe this has only 100 likes? Incredibly intuitive and easy to understand explanation. Definitively one of the best videos on the topic online!

  • @Shubham_68276
    @Shubham_68276 หลายเดือนก่อน

    Best lecture on this topic till now , even in iit proff r just clueless teaching anything rubbish , thanks for this

  • @alexm.2115
    @alexm.2115 2 ปีที่แล้ว +3

    Thank you very much for the great explanation! I've been searching for hours for an example where the step size is elaborated in detail.

    • @mehran1384
      @mehran1384  2 ปีที่แล้ว

      You are welcome. Happy that you found the video useful. Please share this channel with your friends.

  • @RLDacademyGATEeceAndAdvanced
    @RLDacademyGATEeceAndAdvanced 2 ปีที่แล้ว +1

    Nice explanations

  • @mayankbadola23
    @mayankbadola23 2 ปีที่แล้ว

    how would we calculate gradient if we dont have an analytical function? Only F(x,y) values are known for given set of x and y

  • @srinivasulu.vardhineni
    @srinivasulu.vardhineni ปีที่แล้ว

    Sir, if possible make video on sequential quadratic programming and active sets method.