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This approach uses a two-pointer technique to shuffle the array. The first pointer starts at the beginning of the array and represents the x values. The second pointer starts at the middle of the array and represents the y values. By iterating over the array and adding elements from these two pointers alternately to a new list, we can achieve the desired shuffle.
Time Complexity: O(n), where n is half the length of the array. We iterate through the array once.
Space Complexity: O(n), for storing the shuffled result.
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This C solution uses a function shuffle that accepts pointers to the input array and output array, along with n (half the size of the array). It utilizes two pointers within a single loop to construct the resulting shuffled array.
An alternate approach is to reorder the array in-place without using additional space. However, given the elements might need to be accessed multiple times, a good understanding of index manipulation and mathematics is required. The complexity to deduce the correct indices for swapping can increase the difficulty.
Time Complexity: O(n^2) in the worst case as the array is shifted multiple times.
Space Complexity: O(1), as the shuffling is done in-place.
1def shuffleInPlace(nums, n):
2 for i in range(n, 2 * n):
3 y = nums[i]
4 j = i
5 while j > 2 * (i - n):
6 nums[j] = nums[j - 1]
7 j -= 1
8 nums[2 * (i - n)] = y
9
10nums = [2, 5, 1, 3, 4, 7]
11n = 3
12shuffleInPlace(nums, n)
13print(nums)This Python example offers an approach to shuffle the array in place by dynamically adjusting each element's position without requiring additional memory.