Dynamic Programming (DP) is known as a challenging topic for coding interviews. Learning DP efficiently involves understanding various patterns that solve a wide range of problems. This guide covers 20 DP patterns, from easy to hard, offering insights into their uses and linking to LeetCode problems for practice. Patterns
Table of contents
1. Fibonacci Sequence2. Kadane's Algorithm3. 0/1 Knapsack4. Unbounded Knapsack5. Longest Common Subsequence (LCS)6. Longest Increasing Subsequence (LIS)7. Palindromic Subsequence8. Edit Distance9. Subset Sum10. String Partition11. Catalan Numbers12. Matrix Chain Multiplication13. Count Distinct Ways14. DP on Grids15. DP on Trees16. DP on Graphs17. Digit DP18. Bitmasking DP19. Probability DP20. State Machine DP7 Comments
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