3Sum Closest

To solve this coding challenge, we need to implement an algorithm that identifies three integers from the given list such that their sum is the closest to the specified target. This algorithm must then return that sum. Here's a detailed explanation on how we can approach and solve this.

Explanation

Understanding the Problem:
  1. Input : An array of integers
    nums
    and an integer
    target
    .
  2. Output : The sum of three integers from the array
    nums
    that is closest to the
    target
    .
  3. Example:
    Given
    nums = [-1, 2, 1, -4]
    and
    target = 1
    :
  4. The possible sums of triplets are:
    • (-1 + 2 + 1) = 2
    • (-1 + 2 - 4) = -3
    • (-1 + 1 - 4) = -4
    • (2 + 1 - 4) = -1
  5. The sum that is closest to 1 is 2.
  6. Constraints:
  7. The array
    nums
    has at least 3 elements, and can have up to 500 elements.
  8. Element values are within -1000 to 1000.
  9. The
    target
    value is within -10,000 to 10,000.
  10. Detailed Steps in Pseudocode:

  11. Sort the array to allow for the two-pointer approach.
  12. Initialize a variable
    closest_sum
    to store the sum closest to the target. We'll start with a large value, such as infinity.
  13. Iterate through the array with index
    i
    from 0 to
    len(nums) - 3
    , because we need at least two more elements to form a triplet.
    • For each element at index
      i
      , use a
      two-pointer technique to find the remaining two numbers.
    • The
      left
      pointer is initialized to
      i + 1
      , representing the start of the subarray to the right of
      i
      .
    • The
      right
      pointer is initialized to
      len(nums) - 1
      , representing the end of the array.
  14. Two-pointer Logic :
    • Calculate the sum of the triplet:
      nums[i] + nums[left] + nums[right]
      .
    • If this sum is closer to the
      target
      than
      closest_sum
      , update
      closest_sum
      .
    • Adjust the pointers:
      • If the sum is less than the target, increment the
        left
        pointer to increase the sum.
      • If the sum is greater than the target, decrement the
        right
        pointer to decrease the sum.
      • If the sum equals the target, return the target immediately as it's the best possible result.
  15. After exiting the loop, return
    closest_sum
    .

Pseudocode

                                            
# Sort the array to use two-pointer approach
sort(nums)

# Initialize closest_sum with an infinitely large value
closest_sum = Infinity

# Iterate through the array
for i from 0 to length(nums) - 3:
    left = i + 1
    right = length(nums) - 1
    
    # While the two pointers don't overlap
    while left < right:
        # Calculate the current sum of the triplet
        current_sum = nums[i] + nums[left] + nums[right]
        
        # If current_sum is closer to target than closest_sum, update closest_sum
        if abs(target - current_sum) < abs(target - closest_sum):
            closest_sum = current_sum
            
        # Adjust the pointers
        if current_sum < target:
            left += 1  # Need a larger sum, move left pointer to the right
        elif current_sum > target:
            right -= 1  # Need a smaller sum, move right pointer to the left
        else:
            # Exact match found, return the target
            return target

# Return the closest sum found
return closest_sum

                                        
By following these detailed steps and understanding the logic behind sorting the array and using the two-pointer technique, we can efficiently solve this problem within the given constraints.