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Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92
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Competitive Programming/DSA Course | Hindi - Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92

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This course includes

  • 35.3 hours of video
  • Certificate of completion
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Competitive Programming/DSA Course | Hindi Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92

Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92 Transcript and Lesson Notes

DP Playlist : https://youtube.com/playlist?list=PLauivoElc3gimdmLcIIpafEkzGs4tCQmi ALL CP/DSA RESOURCES : https://linktr.ee/iamluv FREE COMPETITIVE PROGRAMMING COURSE PLAYLIST : https://youtube.com/playlist?list=PLauivoE

Quick Summary

DP Playlist : https://youtube.com/playlist?list=PLauivoElc3gimdmLcIIpafEkzGs4tCQmi ALL CP/DSA RESOURCES : https://linktr.ee/iamluv FREE COMPETITIVE PROGRAMMING COURSE PLAYLIST : https://youtube.com/playlist?list=PLauivoE

Key Takeaways

  • Review the core idea: DP Playlist : https://youtube.com/playlist?list=PLauivoElc3gimdmLcIIpafEkzGs4tCQmi ALL CP/DSA RESOURCES : https://linktr.ee/iamluv FREE COMPETITIVE PROGRAMMING COURSE PLAYLIST : https://youtube.com/playlist?list=PLauivoE
  • Understand how longest fits into Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92.
  • Understand how increasing fits into Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92.
  • Understand how subsequence fits into Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92.
  • Understand how dynamic fits into Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92.

Key Concepts

Full Transcript

DP Playlist : https://youtube.com/playlist?list=PLauivoElc3gimdmLcIIpafEkzGs4tCQmi ALL CP/DSA RESOURCES : https://linktr.ee/iamluv FREE COMPETITIVE PROGRAMMING COURSE PLAYLIST : https://youtube.com/playlist?list=PLauivoElc3ggagradg8MfOZreCMmXMmJ- In this video I discuss longest increasing subsequence problem of dynamic programming and also solve related leetcode question Practice Questions : https://leetcode.com/problems/longest-increasing-subsequence/ https://atcoder.jp/contests/dp/tasks Timestamps: Explanation : (0:00) Code : (7:23) Be a part of our awesome Community. Join ○ Discord : https://discord.gg/GMH23tq7Y7 ○ Telegram : https://t.me/LuvIsMeYT ○ LinkTree : https://linktr.ee/iamluv You can follow me on below platforms for all the latest updates ○ Instagram : https://www.instagram.com/i._m_.luv/ ○ Twitter : https://twitter.com/Luvk1412 ○ Linkedin : https://www.linkedin.com/in/luvk1412/ Blog(Not frequently updated) ○ Blog : https://www.codewithluv.in Hashtags #lis #dp #leetcode #questions #tutorial

Lesson FAQs

What is Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92 about?

DP Playlist : https://youtube.com/playlist?list=PLauivoElc3gimdmLcIIpafEkzGs4tCQmi ALL CP/DSA RESOURCES : https://linktr.ee/iamluv FREE COMPETITIVE PROGRAMMING COURSE PLAYLIST : https://youtube.com/playlist?list=PLauivoE

What key concepts are covered in this lesson?

The lesson covers longest, increasing, subsequence, dynamic, programming.

What should I learn before Longest Increasing Subsequence (LIS) | Dynamic Programming | CP Course | EP 92?

Review the previous lessons in Competitive Programming/DSA Course | Hindi, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: longest, increasing, subsequence, dynamic.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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