# Solving Leetcode Interviews in Seconds with AI: Optimal Division


	# Introduction
	In this blog post, we will explore how to solve the LeetCode problem "553" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like [Chatmagic](https://www.chatmagic.app), we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.

	# Problem Statement
	> You are given an integer array nums. The adjacent integers in nums will perform the float division.  For example, for nums = [2,3,4], we will evaluate the expression "2/3/4".  However, you can add any number of parenthesis at any position to change the priority of operations. You want to add these parentheses such the value of the expression after the evaluation is maximum. Return the corresponding expression that has the maximum value in string format. Note: your expression should not contain redundant parenthesis.   Example 1:  Input: nums = [1000,100,10,2] Output: "1000/(100/10/2)" Explanation: 1000/(100/10/2) = 1000/((100/10)/2) = 200 However, the bold parenthesis in "1000/((100/10)/2)" are redundant since they do not influence the operation priority. So you should return "1000/(100/10/2)". Other cases: 1000/(100/10)/2 = 50 1000/(100/(10/2)) = 50 1000/100/10/2 = 0.5 1000/100/(10/2) = 2  Example 2:  Input: nums = [2,3,4] Output: "2/(3/4)" Explanation: (2/(3/4)) = 8/3 = 2.667 It can be shown that after trying all possibilities, we cannot get an expression with evaluation greater than 2.667    Constraints:  1 <= nums.length <= 10 2 <= nums[i] <= 1000 There is only one optimal division for the given input.  

	# Explanation
	Here's the breakdown of the solution:

*   **Maximizing the Expression:** The key idea is that to maximize the expression, the first number `nums[0]` should be in the numerator, and everything else should be in the denominator. This is achieved by constructing an expression like `nums[0] / (nums[1] / nums[2] / ... / nums[n-1])`.
*   **Constructing the String:**  The optimal string representation can be built by placing all numbers from `nums[1]` onwards within a single set of parentheses in the denominator. This prevents unnecessary intermediate divisions that reduce the overall value.

*   **Runtime Complexity:** O(n)
*   **Storage Complexity:** O(n)

	
	# Code
	```python
	def optimalDivision(nums):
    """
    Finds the optimal way to divide the given array of numbers to maximize the result.

    Args:
        nums: A list of integers.

    Returns:
        A string representing the optimal division expression.
    """

    n = len(nums)

    if n == 1:
        return str(nums[0])
    elif n == 2:
        return str(nums[0]) + "/" + str(nums[1])
    else:
        result = str(nums[0]) + "/(" + str(nums[1])
        for i in range(2, n):
            result += "/" + str(nums[i])
        result += ")"
        return result
	```