Given an array of strings, nums, where each string represents an integer without leading zeros, and an integer k, your task is to find and return the string representing the k$^{th}$ largest integer in the array.

Note: Treat duplicate integers as distinct entities. For instance, if nums $= [\text{\lq\lq2\rq\rq, \lq\lq3\rq\rq, \lq\lq3\rq\rq]}$, the first largest integer is $\text{\lq\lq3\rq\rq}$, the second largest is also $\text{\lq\lq3\rq\rq}$, and the third largest is $\text{\lq\lq2\rq\rq}$.

Constraints:

• $1 <=$ k $<=$ nums.length $<= 10^3$

• $1 <=$ nums[i].length $<= 100$

• nums[i] consists of only digits.

• nums[i] will not have any leading zeros.

The essence of this solution is to use the top K elements pattern to find the k$^{th}$ largest number in an array of strings. We maintain the k largest elements using a min heap while iterating through the array. The heap allows us to track and update the k largest elements without sorting the entire array, ensuring an optimal solution for finding the k$^{th}$ largest element.

Now, let’s look at the steps of the solution:

1. We initialize an empty min heap, heap, which will be used to store the k largest numbers.

2. We iterate over each string in nums, and for each string, we convert the string to an integer and push it into the heap.

3. We also maintain the size of the heap. After pushing each number into the heap, we check if the size of the heap exceeds k. If it does, we remove the smallest element from the top of the heap. This ensures that only the k largest elements are always retained in the heap.

4. After iterating over nums, we return the k$^{th}$largest element as the root of the heap (the smallest element in the min heap) because the heap only contains the k largest elements. We also convert the root of the heap back to a string before returning.

Let’s look at the following illustration to get a better understanding of the solution: