Master the art of solving complex problems efficiently. Boost your problem-solving skills for coding interviews with easy-to-follow lessons and hands-on challenges.
Prerequisites:
- Knowledge in Python
Overview
Syllabus
Introduction to DP
- What is dynamic programming?
- Why is it important?
- Applications in various fields
Basic concepts
- Memoization
- Memoization without Recursion
Dynamic programming algorithms
- Longest common subsequence
- Knapsack problem
- Coin change problem
- Edit distance
Advanced topics
- min_subarray_len
- Pruning
- Space optimization
- Bit masking
Conclusion
- Recap of key concepts
- Summary
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