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Grokking Dynamic Programming Patterns for Coding Interviews (Design Gurus)


Pattern 1: 0/1 Knapsack - Target Sum Have questions about Target Sum? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/7nAOY4oy64A). Pattern 1: 0/1 Knapsack - 0/1 Knapsack Have questions about 0/1 Knapsack? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/RM1BDv71V60). Pattern 5: Longest Common Substring - Longest Increasing Subsequence Have questions about Longest Increasing Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/YQ0y0QOJQ69). Pattern 4: Palindromic Subsequence - Longest Palindromic Subsequence Have questions about Longest Palindromic Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/RMk1D1DY1PL). Pattern 4: Palindromic Subsequence - Minimum Deletions in a String to make it a Palindrome Have questions about Minimum Deletions in a String to make it a Palindrome? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gkX4prBkRLj). Pattern 5: Longest Common Substring - Longest Common Substring Have questions about Longest Common Substring? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/RMkk7NwE44R). Pattern 5: Longest Common Substring - Minimum Deletions to Make a Sequence Sorted Have questions about Minimum Deletions to Make a Sequence Sorted? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/qV251wjM2ZD). Pattern 5: Longest Common Substring - Strings Interleaving Have questions about Strings Interleaving? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/RMM68YXRwEK). Pattern 1: 0/1 Knapsack - Count of Subset Sum Have questions about Count of Subset Sum? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/m27pwPZ3yvG). Appendix - Other courses Have questions about Other courses? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/B8n50Q6EBQW). Introduction - What is Dynamic Programming? Have questions about What is Dynamic Programming?? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/m2G1pAq0OO0). Pattern 3: Fibonacci Numbers - Staircase Have questions about Staircase? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/YQy7Lx79R0K). Appendix - Contact Us Have questions about Contact Us? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/7nVWonJzqVA). Pattern 1: 0/1 Knapsack - Subset Sum Have questions about Subset Sum? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/3j64vRY6JnR). Pattern 1: 0/1 Knapsack - Minimum Subset Sum Difference Have questions about Minimum Subset Sum Difference? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/xVVNRPPXQGr). Pattern 2: Unbounded Knapsack - Minimum Coin Change Have questions about Minimum Coin Change? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/NE0yNJ1rZy6). Pattern 5: Longest Common Substring - Edit Distance Have questions about Edit Distance? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gx2QMvEorYY). Pattern 2: Unbounded Knapsack - Unbounded Knapsack Have questions about Unbounded Knapsack? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/qV6RXWME4D3). Pattern 1: 0/1 Knapsack - Equal Subset Sum Partition Have questions about Equal Subset Sum Partition? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/3jEPRo5PDvx). Pattern 5: Longest Common Substring - Maximum Sum Increasing Subsequence Have questions about Maximum Sum Increasing Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/B8rgqKEW05N). Pattern 3: Fibonacci Numbers - House thief Have questions about House thief? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/m2EOxJ0Nkp3). Pattern 5: Longest Common Substring - Minimum Deletions & Insertions to Transform a String into another Have questions about Minimum Deletions & Insertions to Transform a String into another? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/m27OkE8D08O). Pattern 3: Fibonacci Numbers - Minimum jumps to reach the end Have questions about Minimum jumps to reach the end? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/7nAKN0Qz67r). Pattern 5: Longest Common Substring - Longest Alternating Subsequence Have questions about Longest Alternating Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gxp0yR37zBr). Pattern 2: Unbounded Knapsack - Coin Change Have questions about Coin Change? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gx763A3x9Pl). Pattern 3: Fibonacci Numbers - Number factors Have questions about Number factors? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/NE52PnMY376). Pattern 2: Unbounded Knapsack - Maximum Ribbon Cut Have questions about Maximum Ribbon Cut? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/YQVZJx1k0WY). Pattern 5: Longest Common Substring - Longest Repeating Subsequence Have questions about Longest Repeating Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/7npz2VooPl1). Pattern 3: Fibonacci Numbers - Fibonacci numbers Have questions about Fibonacci numbers? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gx6jmzrMwgZ). Pattern 2: Unbounded Knapsack - Rod Cutting Have questions about Rod Cutting? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/RM5E56PGnVY). Pattern 5: Longest Common Substring - Longest Common Subsequence Have questions about Longest Common Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/B8Pq4ZnBN0N). Pattern 4: Palindromic Subsequence - Palindromic Partitioning Have questions about Palindromic Partitioning? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gxxqrE2kKrY). Pattern 4: Palindromic Subsequence - Count of Palindromic Substrings Have questions about Count of Palindromic Substrings? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/xV73LEk5rx9). Pattern 3: Fibonacci Numbers - Minimum jumps with fee Have questions about Minimum jumps with fee? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/7nDNy6JDP1G). Pattern 5: Longest Common Substring - Subsequence Pattern Matching Have questions about Subsequence Pattern Matching? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/JY7yZ2VyJnP). Pattern 5: Longest Common Substring - Shortest Common Super-sequence Have questions about Shortest Common Super-sequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/3jjLPyLGnAR). Pattern 5: Longest Common Substring - Longest Bitonic Subsequence Have questions about Longest Bitonic Subsequence? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/gx842pQXGM9). Pattern 4: Palindromic Subsequence - Longest Palindromic Substring Have questions about Longest Palindromic Substring? Go for it! View the lesson [here](https://www.educative.io/courses/grokking-dynamic-programming-patterns-for-coding-interviews/m2yRjwxBY7A).
About the Grokking Dynamic Programming Patterns for Coding Interviews (Design Gurus) category [Grokking Dynamic Programming Patterns for Coding Interviews (Design Gurus)] (1)
Getting wrong answer with below approach, why? [Pattern 5: Longest Common Substring - Longest Common Subsequence] (1)
What's wrong with this approach to this problem [Pattern 3: Fibonacci Numbers - Minimum jumps with fee] (1)
Is it a Bug in all Bottom-up programming [Pattern 1: 0/1 Knapsack - Subset Sum] (1)
What is wrong with the below approach? [Pattern 2: Unbounded Knapsack - Unbounded Knapsack] (1)
The BottomUp Solution seems failing at some test cases [Pattern 1: 0/1 Knapsack - Target Sum] (4)
More clarification on size of dp[][] array for 0/1 knapsack - dp[capacity+1][profit] [Pattern 1: 0/1 Knapsack - 0/1 Knapsack] (1)
Explain Runtime Please [Pattern 4: Palindromic Subsequence - Palindromic Partitioning] (1)
Complexity of BruteForce Recursive Solution [Pattern 5: Longest Common Substring - Longest Common Substring] (1)
What are the correct start points and index, 0 or 1? [Pattern 3: Fibonacci Numbers - Minimum jumps with fee] (2)
How is this different from the coin change problem? [Pattern 3: Fibonacci Numbers - Number factors] (1)
Mistake in the code while filling the table in a bottom-up approach [Pattern 1: 0/1 Knapsack - 0/1 Knapsack] (1)
For the DP solution, Why startIndex start from the last character of the string [Pattern 4: Palindromic Subsequence - Longest Palindromic Subsequence] (3)
Regarding the dp array definition in LCS soution [Pattern 5: Longest Common Substring - Longest Common Substring] (2)
Time complexity for basic solution [Pattern 5: Longest Common Substring - Longest Common Subsequence] (4)
3rd example doesn't confirm to the problem statement [Pattern 5: Longest Common Substring - Longest Repeating Subsequence] (2)
How brute-force solution has complexity O(2 ^(N+C) ) [Pattern 2: Unbounded Knapsack - Unbounded Knapsack] (1)
As it said, the problem is similar to LCS, can we solve it in this way? [Pattern 5: Longest Common Substring - Shortest Common Super-sequence] (1)
Why do we need to keep the record of maxLengh? [Pattern 5: Longest Common Substring - Longest Common Subsequence] (1)
In the DP challenge, it claims to reduce the Time complexity from O(N*C) to O(C) but the solution still has 2 loops [Pattern 1: 0/1 Knapsack - 0/1 Knapsack] (2)
How to identify a problem can be solved by Dynamic programming? [Introduction - What is Dynamic Programming?] (2)
Time complexity for the top-down solution - String Interleaving [Pattern 5: Longest Common Substring - Strings Interleaving] (1)
Longest Palindromic Substring for loops [Pattern 4: Palindromic Subsequence - Longest Palindromic Substring] (1)
Longest Palindromic Substring [Pattern 4: Palindromic Subsequence - Longest Palindromic Substring] (1)
Count of Palindromic Substrings [Pattern 4: Palindromic Subsequence - Count of Palindromic Substrings] (8)
Longest common subsequence vs substring [Pattern 5: Longest Common Substring - Longest Common Subsequence] (2)
Re: the DP solution : for empty pattern, we have one matching [Pattern 5: Longest Common Substring - Subsequence Pattern Matching] (1)
I can't tell the difference of the code between unbounded question and 0/1 knapback [Pattern 2: Unbounded Knapsack - Unbounded Knapsack] (1)
O (n + m) solution [Pattern 5: Longest Common Substring - Longest Common Substring] (1)
Not optimal memoisation solution [Pattern 5: Longest Common Substring - Strings Interleaving] (1)