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Introducing Dynamic Programming With Fibonacci Numbers

Explore how dynamic programming optimizes Fibonacci number calculation by reducing exponential time complexity to linear. Learn key concepts like overlapping subproblems, optimal substructure, and how to use lookup tables through memoization and tabulation techniques.

In the last lesson, we saw a recursive Java implementation of a function to calculate the nthnth Fibonacci number. We also calculated its time complexity by solving a recurrence relation that came out to be O(2n ...