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Java Solution for LeetCode algorithm problems, continually updating
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2343\. Query Kth Smallest Trimmed Number
Medium
You are given a **0-indexed** array of strings `nums`, where each string is of **equal length** and consists of only digits.
You are also given a **0-indexed** 2D integer array `queries` where queries[i] = [ki, trimi]
. For each `queries[i]`, you need to:
* **Trim** each number in `nums` to its **rightmost** trimi
digits.
* Determine the **index** of the kith
smallest trimmed number in `nums`. If two trimmed numbers are equal, the number with the **lower** index is considered to be smaller.
* Reset each number in `nums` to its original length.
Return _an array_ `answer` _of the same length as_ `queries`, _where_ `answer[i]` _is the answer to the_ ith
_query._
**Note**:
* To trim to the rightmost `x` digits means to keep removing the leftmost digit, until only `x` digits remain.
* Strings in `nums` may contain leading zeros.
**Example 1:**
**Input:** nums = ["102","473","251","814"], queries = [[1,1],[2,3],[4,2],[1,2]]
**Output:** [2,2,1,0]
**Explanation:**
1. After trimming to the last digit, nums = ["2","3","1","4"]. The smallest number is 1 at index 2.
2. Trimmed to the last 3 digits, nums is unchanged. The 2nd smallest number is 251 at index 2.
3. Trimmed to the last 2 digits, nums = ["02","73","51","14"]. The 4th smallest number is 73.
4. Trimmed to the last 2 digits, the smallest number is 2 at index 0.
Note that the trimmed number "02" is evaluated as 2.
**Example 2:**
**Input:** nums = ["24","37","96","04"], queries = [[2,1],[2,2]]
**Output:** [3,0]
**Explanation:**
1. Trimmed to the last digit, nums = ["4","7","6","4"]. The 2nd smallest number is 4 at index 3.
There are two occurrences of 4, but the one at index 0 is considered smaller than the one at index 3.
2. Trimmed to the last 2 digits, nums is unchanged. The 2nd smallest number is 24.
**Constraints:**
* `1 <= nums.length <= 100`
* `1 <= nums[i].length <= 100`
* `nums[i]` consists of only digits.
* All `nums[i].length` are **equal**.
* `1 <= queries.length <= 100`
* `queries[i].length == 2`
* 1 <= ki <= nums.length
* 1 <= trimi <= nums[i].length
**Follow up:** Could you use the **Radix Sort Algorithm** to solve this problem? What will be the complexity of that solution?