Let’s see how we can utilize dynamic programming to make our Fibonacci generator faster: Why? Because recursive or iterative methods tend to do a lot of repetitive work when calculating higher Fibonacci values (i.e., calculating the same Fibonacci numbers again and again). Some may call it ‘memoization,’ others may call it ‘caching’ - it doesn’t matter! This simple yet powerful technique can be a gamechanger when it comes to calculating Fibonacci numbers, especially for larger inputs. Using Dynamic Programming for Generating Fibonacci If memory efficiency is key, and you’re okay with some extra computation, recursion is the way to go. If you’re looking for raw speed and aren’t overly concerned with memory, use iteration. Remember, in the programming world, there’s no one-size-fits-all. Now, we’ve got a super-efficient and memory-friendly way to generate the Fibonacci sequence! We calculate and store the newest Fibonacci number in b by summing up the old values of a and b.Īt the end of the loop, a contains the n-th Fibonacci number, which we duly return.We assign the next number in the sequence ( b) to a.
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