Product Of Array Except Self
To solve this coding challenge, the goal is to create an array
where each element
is the product of all elements in the input array
except
. 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.
, the challenge is to compute an array
such that, for each index
,
is equal to the product of all elements of
except
. 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.
answer
answer[i]
nums
nums[i]
Explanation
Problem Analysis
Given an integer arraynums
answer
i
answer[i]
nums
nums[i]
Approach
To solve this problem without division and in O(n) time complexity, a two-pass strategy can be employed:-
First Pass (Left Products):
Traverse the array from left to right. For each element at index
i
i
-
Second Pass (Right Products):
Traverse the array from right to left. For each element at index
i
i
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.
- Initialization:
-
Create an output array
answer
-
Initialize
left_product
1
-
Initialize
right_product
1
- First Pass (Left to Right):
-
For each index
i
0
n-1
n
answer[i]
left_product
-
Update
left_product
nums[i]
- Second Pass (Right to Left):
-
For each index
i
n-1
0
answer[i]
right_product
-
Update
right_product
nums[i]
Step-by-Step Explanation:
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).