


Minimum number of removals to make a string consist of a string of 0s followed by a string of 1s
The question "Minimum deletions for string concatenation of 0 substrings" involves working with strings. Given as input a string of 0s and 1s, the result is an integer reflecting the minimum number of 0s that must be eliminated in order to generate a substring of consecutive 0s.
In other words, the problem can be reformulated as: given a string composed of 0s and 1s, how many 0s need to be eliminated in order to make the remaining string contain a continuous period of 0s.
algorithm
Step 1: Variable initialization
Define a count variable to record the length of the current zero sequence.
Define a max_count variable to track the longest sequence of zeros encountered so far.
Set both variables to 0.
Step 2: String traversal
Use a loop to iterate through each character in the string.
Step Three: Zero Detection
If the current character is zero, increment the count variable.
Step 4: One detection
If the current character is 1, compare the count variable with the max_count variable.
If the count variable is higher than the max_count variable, set the max_count variable equal to the count variable.
Reset the count variable to 0.
Step 5: Loop completed
Repeat this process until all characters in the string have been processed.
Step 6: Minimum deletion calculation
The minimum number of deletions required to remove all zeros so that the remaining ones are not separated by any zeros can be calculated by subtracting max_count from the string length.
Step 7: Result Output
Print the results to the console.
Method to follow
Dynamic method
Iteration method
Method 1: Dynamic method
Dynamic programming can be used to solve this problem efficiently. To create a substring of consecutive 0s, we can create an array dp[], where dp[i] represents the minimum number of 0s that need to be eliminated from the substring s[0...i]. The minimum number of 0s to eliminate from an empty substring is 0, so we can initialize dp[0] to 0.
Then, we can iterate over the string s and update dp[i] to −
-
If s[i] is "0", then dp[i] = dp[i-1], because we can include s[i] in a substring of consecutive 0s or remove them.
-
When s[i] is "1", we must get the index j closest to i, which contains the substring of consecutive 0s. This can be done by iterating from i-1 to 0 and seeing if the substring s[j...i] contains consecutive 0's. If index j is found, then dp[i] = dp[j-1] (i-j 1), where dp[j-1] represents the minimum number of 0's 0...j-1 that must be eliminated from the substring s[ ] and (i-j 1) are the total number of 1's that must be eliminated in order to obtain the substring s[j...i] of consecutive 0's. If no such index j is found, then dp[i] = dp[i-1], since we cannot contain s[i] in a substring of consecutive 0s.
Finally, in order to obtain a substring of consecutive 0s, the minimum number of 0s that need to be removed from the entire string s is given by dp[n-1], where n is the length of the string s.
Example 1
The following program uses the method we discussed above, first reading the input string from standard input, and then identifying all substrings of 0. Then calculate the length of the longest 0 substring and the length of the string generated by concatenating each 0 substring. To determine the minimum number of eliminations required, it ultimately subtracts the length of the longest 0 substring from the sum of all 0 substrings and displays the result to standard output.
#include <bits/stdc++.h> using namespace std; int main() { string s = "100100011000110"; // constant input string vector<pair<int, int>> substrings; // vector to store start and end indices of each substring of 0s int start = -1; for (int i = 0; i < s.length(); i++) { if (s[i] == '0') { if (start == -1) { start = i; } } else { if (start != -1) { substrings.push_back(make_pair(start, i - 1)); start = -1; } } } if (start != -1) { substrings.push_back(make_pair(start, s.length() - 1)); } int totalLength = 0; for (auto& p : substrings) { totalLength += p.second - p.first + 1; } int maxLength = 0; for (auto& p : substrings) { int len = p.second - p.first + 1; if (len > maxLength) { maxLength = len; } } int removals = totalLength - maxLength; cout << "Input string: " << s << endl; cout << "Minimum removals: " << removals << endl; return 0; }
Output
Input string: 100100011000110 Minimum removals: 6
Method 2: Iterative method
This method uses a direct iteration method to traverse the given string character by character while updating the values of the two variables count and max_count. This method updates the value of the count and max_count variables based on whether the current character is 0 or 1. It then provides the difference between max_count and the length of the longest 0 substring.
The Chinese translation ofExample 2
is:Example 2
This code is a C software that calculates the minimum number of eliminations required to remove all zeros from a binary string so that the rest are not separated by any zeros. The min_deletions function takes a binary string as input and uses a loop to iterate through each character in the string. The loop increments the count variable every time it encounters zero and resets it to zero when it encounters one. The maximum value of the count variable is saved in max_count, and finally the length of the string is subtracted from max_count to obtain the required minimum number of deletions. The results are then displayed to the user.
#include <iostream> #include <string> using namespace std; int min_deletions(string str) { int count = 0, max_count = 0; for (char c : str) { if (c == '0') { count++; } else { max_count = max(max_count, count); count = 0; } } return str.length() - max_count; } int main() { string str = "100010011000110"; int deletions = min_deletions(str); cout << "Minimum deletions needed: " << deletions << endl; return 0; }
Output
Minimum deletion needed: 12
in conclusion
Determining all the substrings of 0, calculating the length of the string produced by concatenating each substring of 0, and determining the length of the substring with the longest 0 are the three steps in solving the given problem. The length of the largest 0 substring can then be subtracted from the sum of all 0 substrings to obtain the minimum number of deletions required.
The method we use to obtain the answer is simple, efficient, and runs in linear time, making it suitable for large inputs. But it can be further enhanced by applying more sophisticated methods such as dynamic programming.
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