When using dynamic programming to compute the Fibonacci number, we store intermediate results to avoid redundant calculations. This results in a linear time complexity of \(O(n)\). Using memoization or tabulation techniques, we can compute the Fibonacci number in linear time, making it much faster than the recursive approach.
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