Dynamic Programming
Solve optimisation problems with memoisation and tabulation.
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After this skill you can…
- Identify overlapping subproblems
- Convert recursive solutions to bottom-up DP
- Solve classic DP problems (knapsack, LCS, coin change)
Prerequisites
Watch (10 videos)
Learn Dynamic Programming with Animations – Full Course for Beginners
→ Solve complex algorithmic puzzles→ Implement memoization and tabulation→ Optimize recursive solutions
Ones and Zeroes - Leetcode 474 - Python
→ Implement dynamic programming with memoization→ Optimize solutions using dynamic programming
What Is Dynamic Programming and How To Use It
→ Use Dynamic Programming→ Optimize Algorithmic Solutions→ Improve Code Efficiency
DYNAMIC PROGRAMMING PRACTICE PROBLEM | DSA Course | GeeksforGeeks
→ Solve dynamic programming problems→ Optimize solutions for coding interviews
Dynamic Programming Interview Question #1 - Find Sets Of Numbers That Add Up To 16
→ Find sets of numbers that add up to a target sum→ Use a bottom-up approach to solve dynamic programming problems→ Implement memoization to improve solution efficiency
Unique Paths II - Leetcode 63 - Python
→ Use dynamic programming to solve complex problems→ Apply memoization to reduce time complexity
Dynamic Programming 1 [Programming Competition Problems]
→ Solve dynamic programming problems→ Implement dynamic programming algorithms→ Analyze problem complexity
Ones and Zeroes - Leetcode 474 - Python
→ Solve complex problems using dynamic programming→ Implement memoization
Flip String to Monotone Increasing - Leetcode 926 - Python
→ Solve dynamic programming problems→ Optimize time complexity using caching
FREAKY Programming out here 😵💫
→ Apply dynamic programming to real-world problems→ Optimize recursive solutions
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