Delete Columns to Make Sorted - Greedy - Easy - LeetCode
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Delete Columns to Make Sorted - Greedy - Easy - LeetCode

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  • 1The problem involves deleting columns from an array of strings to ensure remaining columns are in non-decreasing order.
  • 2The minimum number of deletion indices required can be determined by comparing characters in each column across the strings.
  • 3The solution has a time complexity of O(m*n) and a space complexity of O(1), where m is the number of strings and n is their length.

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"The problem involves deleting columns from an array of strings to ensure remaining columns are in non-decreasing order."

Delete Columns to Make Sorted - Greedy - Easy - LeetCode

We are given an array A of N lowercase letter strings, all of the same length.

Now, we may choose any set of deletion indices, and for each string, we delete all the characters in those indices.

For example, if we have an array A = ["abcdef","uvwxyz"] and deletion indices {0, 2, 3}, then the final array after deletions is ["bef", "vyz"], and the remaining columns of A are ["b","v"], ["e","y"], and ["f","z"]. (Formally, the c-th column is [A[0][c], A[1][c], ..., A[A.length-1][c]]).

Suppose we chose a set of deletion indices D such that after deletions, each remaining column in A is in non-decreasing sorted order.

Return the minimum possible value of D.length.

Example 1:

Input: A = ["cba","daf","ghi"] Output: 1 Explanation: After choosing D = {1}, each column ["c","d","g"] and ["a","f","i"] are in non-decreasing sorted order. If we chose D = {}, then a column ["b","a","h"] would not be in non-decreasing sorted order. Example 2:

Input: A = ["a","b"] Output: 0 Explanation: D = {} Example 3:

Input: A = ["zyx","wvu","tsr"] Output: 3 Explanation: D = {0, 1, 2}

Constraints:

1 <= A.length <= 100 1 <= A[i].length <= 1000

public class Solution {
 public int MinDeletionSize(string[] A) {
 int count = 0;
 for(int c=0;c<A[0].Length;c++){
 for(int r=1;r<A.Length;r++){
 if(A[r-1][c]>A[r][c]){
 count++;
 break;
 }
 }
 }
 
 return count;
 }
}

Time Complexity: O(m*n)

Space Complexity: O(1)

where m and n are the count of string and max length of string.

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sumitc91

Published on 5 October 2020 · 1 min read · 237 words

Part of AskGif Blog · coding

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