Given an integer array nums, return an arrayanswersuch thatanswer[i]is equal to the product of all the elements ofnumsexceptnums[i].
The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit integer.
You must write an algorithm that runs in O(n) time and without using the division operation.
Example 1:
Input: nums = [1,2,3,4]
Output: [24,12,8,6]
Example 2:
Input: nums = [-1,1,0,-3,3]
Output: [0,0,9,0,0]
Constraints:
2 <= nums.length <= 105
-30 <= nums[i] <= 30
The input is generated such that answer[i] is guaranteed to fit in a 32-bit integer.
Follow up: Can you solve the problem in O(1) extra space complexity? (The output array does not count as extra space for space complexity analysis.)
Solutions
Solution 1: Two Passes
We define two variables \(\textit{left}\) and \(\textit{right}\) to represent the product of all elements to the left and right of the current element, respectively. Initially, \(\textit{left} = 1\) and \(\textit{right} = 1\). We define an answer array \(\textit{ans}\) of length \(n\).
First, we traverse the array from left to right. For the \(i\)-th element, we update \(\textit{ans}[i]\) with \(\textit{left}\), then multiply \(\textit{left}\) by \(\textit{nums}[i]\).
Next, we traverse the array from right to left. For the \(i\)-th element, we update \(\textit{ans}[i]\) to \(\textit{ans}[i] \times \textit{right}\), then multiply \(\textit{right}\) by \(\textit{nums}[i]\).
After the traversal, we return the answer array \(\textit{ans}\).
The time complexity is \(O(n)\), where \(n\) is the length of the array \(\textit{nums}\). Ignoring the space consumption of the answer array, the space complexity is \(O(1)\).