Hi Coding Lover,
In this tutorial, I have covered the most common dynamic programming interview question ๐๐ผ๐ป๐ด๐ฒ๐๐ ๐๐ผ๐บ๐บ๐ผ๐ป ๐ฆ๐๐ฏ๐๐๐ฟ๐ถ๐ป๐ด which is usually asked in product-based MNC's.
Here I have explained the ๐ณ๐ผ๐๐ฟ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐๐ฎ๐๐ ๐๐ผ ๐๐ผ๐น๐๐ฒ ๐๐ต๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ and below are the outlines-
๐ง๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ ๐๐ผ๐ป๐๐ฒ๐ป๐:
๐[00:15] Problem statement
๐[02:17] Longest common substring
๐[03:00] Algorithm
๐[06:54] Recurrence relation
๐[08:00] Recursive solution
๐[09:42] Recurrence tree
๐[11:52] Top-down approach with memoization
๐[13:30] Bottom-up approach/ DP solution
๐[19:20] Demo
๐ก๐ผ๐๐ฒ: if you find it useful, please do not forget to like and share your feedback in comments.
https://lnkd.in/faC5uGu
#JAVAAID #lcs #longestcommonsubstring #leetcode #javaAidTutorials #programming #algorithms #coding #competitiveprogramming #google #java #problemsolving #kanahaiyaGupta
In this tutorial, I have covered the most common dynamic programming interview question ๐๐ผ๐ป๐ด๐ฒ๐๐ ๐๐ผ๐บ๐บ๐ผ๐ป ๐ฆ๐๐ฏ๐๐๐ฟ๐ถ๐ป๐ด which is usually asked in product-based MNC's.
Here I have explained the ๐ณ๐ผ๐๐ฟ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐๐ฎ๐๐ ๐๐ผ ๐๐ผ๐น๐๐ฒ ๐๐ต๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ and below are the outlines-
๐ง๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ ๐๐ผ๐ป๐๐ฒ๐ป๐:
๐[00:15] Problem statement
๐[02:17] Longest common substring
๐[03:00] Algorithm
๐[06:54] Recurrence relation
๐[08:00] Recursive solution
๐[09:42] Recurrence tree
๐[11:52] Top-down approach with memoization
๐[13:30] Bottom-up approach/ DP solution
๐[19:20] Demo
๐ก๐ผ๐๐ฒ: if you find it useful, please do not forget to like and share your feedback in comments.
https://lnkd.in/faC5uGu
#JAVAAID #lcs #longestcommonsubstring #leetcode #javaAidTutorials #programming #algorithms #coding #competitiveprogramming #google #java #problemsolving #kanahaiyaGupta
lnkd.in
LinkedIn
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Forwarded from ๐๐ฟ๐ฎ๐ฐ๐ธ๐ถ๐ป๐ด ๐ง๐ต๐ฒ ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐
Hi Coding Lover,
In this tutorial, I have covered one more common dynamic programming interview question ๐๐ผ๐ป๐ด๐ฒ๐๐ ๐๐ผ๐บ๐บ๐ผ๐ป ๐ฆ๐๐ฏ๐๐ฒ๐พ๐๐ฒ๐ป๐ฐ๐ฒ which is also asked in a lot of product-based MNC's.
Here I have explained the ๐ณ๐ผ๐๐ฟ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐๐ฎ๐๐ ๐๐ผ ๐๐ผ๐น๐๐ฒ ๐๐ต๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ and below are the outlines-
๐ง๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ ๐๐ผ๐ป๐๐ฒ๐ป๐:
๐[00:10] Problem statement
๐[02:44] Longest common Subsequence
๐[03:39] Algorithm
๐[07:06] Recurrence relation
๐[09:35] Recursive solution
๐[09:42] Recurrence tree
๐[13:22] Top-down approach with memoization
๐[14:51] Bottom-up approach/ DP solution (using 2-D array)
๐[25:10] Bottom-up approach/ DP solution (using 1-D array)
๐[30:11] Demo
๐ก๐ผ๐๐ฒ: if you find it useful, please do not forget to like and share your feedback in comments.
https://lnkd.in/fNveH-Y
#JAVAAID #lcs #longestcommonsubsequence #leetcode #javaAidTutorials #programming #algorithms #coding #competitiveprogramming #google #java #problemsolving #kanahaiyaGupta
In this tutorial, I have covered one more common dynamic programming interview question ๐๐ผ๐ป๐ด๐ฒ๐๐ ๐๐ผ๐บ๐บ๐ผ๐ป ๐ฆ๐๐ฏ๐๐ฒ๐พ๐๐ฒ๐ป๐ฐ๐ฒ which is also asked in a lot of product-based MNC's.
Here I have explained the ๐ณ๐ผ๐๐ฟ ๐ฑ๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐๐ฎ๐๐ ๐๐ผ ๐๐ผ๐น๐๐ฒ ๐๐ต๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ and below are the outlines-
๐ง๐ฎ๐ฏ๐น๐ฒ ๐ผ๐ณ ๐๐ผ๐ป๐๐ฒ๐ป๐:
๐[00:10] Problem statement
๐[02:44] Longest common Subsequence
๐[03:39] Algorithm
๐[07:06] Recurrence relation
๐[09:35] Recursive solution
๐[09:42] Recurrence tree
๐[13:22] Top-down approach with memoization
๐[14:51] Bottom-up approach/ DP solution (using 2-D array)
๐[25:10] Bottom-up approach/ DP solution (using 1-D array)
๐[30:11] Demo
๐ก๐ผ๐๐ฒ: if you find it useful, please do not forget to like and share your feedback in comments.
https://lnkd.in/fNveH-Y
#JAVAAID #lcs #longestcommonsubsequence #leetcode #javaAidTutorials #programming #algorithms #coding #competitiveprogramming #google #java #problemsolving #kanahaiyaGupta
lnkd.in
LinkedIn
This link will take you to a page thatโs not on LinkedIn