juniorDynamic Programming
Explain the Fibonacci sequence using DP.
Updated Apr 28, 2026
Short answer
Storing previously calculated numbers to avoid redundant O(2^n) recursion.
Deep explanation
Dynamic Programming (DP) is an algorithmic paradigm that solves a given complex problem by breaking it into subproblems and stores the results of subproblems to avoid computing the same results again. Storing previously calculated numbers to avoid redundant O(2^n) recursion.
Real-world example
Cashiers giving change using the minimum number of coins.
Common mistakes
- Creating a memoization table but forgetting to check it before recursing.
Follow-up questions
- What is the space complexity of this Fibonacci approach?