How can memoization be used to optimize the computation of Fibonacci numbers?
- By implementing a randomized algorithm to generate Fibonacci numbers.
- By sorting the Fibonacci sequence in ascending order before computation.
- By storing previously computed Fibonacci numbers in a table and reusing them to avoid redundant calculations.
- By using a divide and conquer approach to split the Fibonacci sequence into smaller subproblems.
Memoization optimizes the computation of Fibonacci numbers by storing previously calculated values in a table (memory). When a Fibonacci number is needed, the algorithm first checks if it's already in the table, and if so, retrieves the precomputed value, avoiding redundant recursive calculations.
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