Suppose you are working on a project where Fibonacci numbers are used extensively for mathematical calculations. How would you optimize the computation of Fibonacci numbers to improve the overall performance of your system?
- Employing dynamic programming techniques, utilizing matrix exponentiation for fast computation, optimizing recursive calls with memoization.
- Handling Fibonacci computations using string manipulations, relying on machine learning for predictions, utilizing heuristic algorithms for accuracy.
- Relying solely on brute force algorithms, using trial and error for accuracy, employing bubble sort for simplicity.
- Utilizing quicksort for efficient Fibonacci calculations, implementing parallel processing for speed-up, avoiding recursion for simplicity.
Optimization strategies may involve employing dynamic programming techniques, utilizing matrix exponentiation for fast computation, and optimizing recursive calls with memoization. These approaches can significantly improve the overall performance of Fibonacci number calculations.
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