Introduction and motivation

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  • Опубликовано: 10 янв 2025

Комментарии • 13

  • @snehamishra8149
    @snehamishra8149 4 года назад +2

    thank you sir for these awesome explanations.

  • @AkshatSinghania
    @AkshatSinghania 3 года назад

    awesome lecture

  • @manishpamnani8428
    @manishpamnani8428 5 лет назад +1

    How do we calculate the time taken to solve the "Telephone Directory" Problem with Smart Algorithms?
    Also, Can you explain also the working of "Naiive Algorithms"?

  • @manishpamnani8428
    @manishpamnani8428 5 лет назад +1

    How do you solve the Video Game Problem by Smart Algorithm, please explain.

  • @SurajChauhan-po8ll
    @SurajChauhan-po8ll 7 лет назад

    Which book should I read for learning algorithms?

    • @urban9756
      @urban9756 7 лет назад +4

      ressources.unisciel.fr/algoprog/s00aaroot/aa00module1/res/%5BCormen-AL2011%5DIntroduction_To_Algorithms-A3.pdf ye padhle bhai

    • @srinaath9845
      @srinaath9845 6 лет назад

      Nitish Gaonkar thank you bro

  • @S-S445
    @S-S445 6 лет назад

    Sir ur voice couldn't hear clearly please use good micro phones

  • @interestinganfunnystory8099
    @interestinganfunnystory8099 4 года назад

    Can we use any language for this contest

  • @manishpamnani8428
    @manishpamnani8428 5 лет назад +2

    Example 2: Video game...
    - 500,000 / 2 = 250,000 objects
    - Time is taken by a naive algorithm to solve the problem:
    250,000 * 10^8 = 25 * 10^10 steps
    - 250000000000 / 100000000 = 2500 seconds.
    Am I right here?

    • @AkshatSinghania
      @AkshatSinghania 3 года назад

      no , 500,000 points so we take 500,000^2 which is 2,50,00,00,00,000.
      and to approximately convert it into seconds , we can divide it by 10^8 which is
      2,50,00,00,00,000/10^8 = 2,500

  • @MegaDaydreams
    @MegaDaydreams 5 лет назад

    sir unable to understand ...
    what ever you said about log 2 to the 10 to the 9 and log 2 to the 1000 can be understood clearly by completing the sentences else its waste of time listening this lecture.
    thank you