Product Of Array Except Self

To solve this coding challenge, the goal is to create an array
answer
where each element
answer[i]
is the product of all elements in the input array
nums
except
nums[i]
. The computation should be efficient, done in O(n) time complexity, and should not use division. Below, the plan will be comprehensively explained before presenting the pseudocode solution.

Explanation

Problem Analysis

Given an integer array
nums
, the challenge is to compute an array
answer
such that, for each index
i
,
answer[i]
is equal to the product of all elements of
nums
except
nums[i]
. Using division would make the problem straightforward (compute the total product of the array and divide by each element), but as division is not allowed, we need to find an alternative approach.

Approach

To solve this problem without division and in O(n) time complexity, a two-pass strategy can be employed:
  1. First Pass (Left Products): Traverse the array from left to right. For each element at index
    i
    , compute the product of all the elements to the left of
    i
    .
  2. Second Pass (Right Products): Traverse the array from right to left. For each element at index
    i
    , compute the product of all the elements to the right of
    i
    .
  3. During each pass, maintain running products that will store intermediate results. By the end of the two passes, multiplicatively combine the results from left and right passes to get the final array of products.

    Step-by-Step Explanation:

  4. Initialization:
    • Create an output array
      answer
      initialized with 1s. This array will eventually store our result.
    • Initialize
      left_product
      to
      1
      . This variable keeps track of the product of all elements to the left of the current index during the first pass.
    • Initialize
      right_product
      to
      1
      . This variable keeps track of the product of all elements to the right of the current index during the second pass.
  5. First Pass (Left to Right):
    • For each index
      i
      from
      0
      to
      n-1
      (where
      n
      is the length of the input array), set
      answer[i]
      to
      left_product
      .
    • Update
      left_product
      by multiplying it with
      nums[i]
      .
  6. Second Pass (Right to Left):
    • For each index
      i
      from
      n-1
      to
      0
      , multiply
      answer[i]
      by
      right_product
      .
    • Update
      right_product
      by multiplying it with
      nums[i]
      .
By combining the products of elements to the left and right at each index, we can achieve the desired result in O(n) time and O(1) space (ignoring the space used for the output array).

Step-by-Step Pseudocode

Below is the pseudocode detailed with comments:
Initialization
                                            
function productExceptSelf(nums):
    # Step 1: Initialize variables
    n = length(nums)  # Get the length of input array
    answer = array of size n initialized with 1s  # The resulting array
    
    left_product = 1  # Initialize left product tracker
    right_product = 1  # Initialize right product tracker

                                        
First Pass: Compute Left Products
                                            
    # Step 2: Traverse the array from left to right
    for i = 0 to n-1:
        answer[i] = left_product  # Assign current left product to answer array
        left_product = left_product * nums[i]  # Update left product

                                        
Second Pass: Compute Right Products
                                            
    # Step 3: Traverse the array from right to left
    for i = n-1 to 0:
        answer[i] = answer[i] * right_product  # Multiply current right product with corresponding value in answer array
        right_product = right_product * nums[i]  # Update right product

                                        
Return the Result
                                            
    # Step 4: Return the computed result array
    return answer

                                        
Summarizing, we have developed an efficient method to solve the given coding challenge by breaking the problem down into parts and using a two-pass approach to compute the required product except self array, adhering to the constraints provided. This approach ensures linear time complexity and constant space complexity (excluding the output array).