5 docs tagged with "dynamic-programming"

Master advanced dynamic programming techniques including interval DP, bitmask DP, digit DP, and DP optimizations with Knuth-Yao and divide-and-conquer.

Master algorithmic problem-solving with a comprehensive guide from fundamentals to advanced techniques. Perfect for LeetCode preparation and technical interviews.

Master fundamental dynamic programming problems including 0/1 Knapsack, Longest Common Subsequence, Longest Increasing Subsequence, Coin Change, and Edit Distance.

Apply dynamic programming to tree and graph problems including tree DP, rerooting technique, DAG DP, and shortest paths as DP.

Master dynamic programming to solve complex optimization problems efficiently. Learn to identify DP patterns and implement optimal solutions.