Dynamic Programming is just smart recursion. Instead of solving the same subproblem multiple times, you solve it once and remember the answer.
Think of it like this: if someone asks you to calculate 5 + 3 multiple times, you don't recalculate each time - you remember it's 8.
Memoization (Top-Down)
Start with the main problem, break it down, cache results
Tabulation (Bottom-Up)
Start with smallest subproblems, build up to the answer
Follow this sequence to master dynamic programming
Master recursive thinking before DP
Add caching to recursive solutions
Convert to iterative bottom-up approach
Identify which DP pattern to apply
Reduce memory usage in solutions
Solve 30+ DP problems for mastery
Master these patterns to solve 90% of DP interview questions
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