Flip String to Monotone Increasing LT926
A string of '0'
s and '1'
s is monotone increasing if it consists of some number of '0'
s (possibly 0), followed by some number of '1'
s (also possibly 0.)
We are given a string S
of '0'
s and '1'
s, and we may flip any '0'
to a '1'
or a '1'
to a '0'
.
Return the minimum number of flips to make S
monotone increasing.
Example 1:
Input: "00110"
Output: 1
Explanation: We flip the last digit to get 00111.
Example 2:
Input: "010110"
Output: 2
Explanation: We flip to get 011111, or alternatively 000111.
Example 3:
Input: "00011000"
Output: 2
Explanation: We flip to get 00000000.
Note:
1 <= S.length <= 20000
S
only consists of'0'
and'1'
characters.
Idea 1. 由结果推算,if monotonic increasing string is composed of x zeros and (n-x) ones, based on the number of ones on the left and right side of str[x], the number of flips can be calculated as ones[x] + (n-x - (ones[n] - ones[x])), another example to use prefix sum to caculate ones.
flip from '1' -> '0' on the left: ones[x]
flip from '0' -> '1' on the right: n - x - (ones[n] - ones[x]) or scan the array from right to left
仔细corner case, 全部都是'0' or '1' monotonic increasing string.
Time complexity: O(n)
Space complexity: O(n)
class Solution {
public int minFlipsMonoIncr(String S) {
int n = S.length();
int[] ones = new int[n+1];
for(int i = 1; i <=n; ++i) {
ones[i] = ones[i-1] + S.charAt(i-1) - '0';
} int result = Integer.MAX_VALUE;
for(int i = 0; i <= n; ++i) {
result = Math.min(result, ones[i] + (n - i) - (ones[n] - ones[i]));
} return result;
}
}
Idea 1.b No need to build ones array, the number of ones can be computed while looping the array, just need the total number of ones in advance
Time complexity: O(n)
Space complexity: O(1)
class Solution {
public int minFlipsMonoIncr(String S) {
int n = S.length();
int totalOnes = 0;
for(int i = 0; i < S.length(); ++i) {
totalOnes += S.charAt(i) - '0';
}
int ones = 0; int result = Integer.MAX_VALUE;
for(int i = 0; i <= n; ++i) {
if(i >= 1) {
ones += S.charAt(i-1) - '0';
}
result = Math.min(result, ones + (n - i) - (totalOnes - ones));
} return result;
}
}
稍微简洁一点,把全身1的情况做初始值
class Solution {
public int minFlipsMonoIncr(String S) {
int n = S.length();
int totalOnes = 0;
for(int i = 0; i < S.length(); ++i) {
totalOnes += S.charAt(i) - '0';
}
int ones = 0; int result = n - totalOnes;
for(int i = 1; i <= n; ++i) {
ones += S.charAt(i-1) - '0';
result = Math.min(result, ones + (n - i) - (totalOnes - ones));
} return result;
}
}
Idea 2. Dynamic programming, 网上看到的更赞的方法, let dp[i-1] be the minimum number of flips to make S.substring(0, i) is monotonic increasing, how to extend the solution for S.charAt(i)?
dp[i] = dp[i-1] if S.charAt(i) == '1', nothing needed, as it still satisfy monotonic increasing string.
dp[i] = Math.min(ones[i-1], dp[i-1] + 1), if S.chart(i) == '0' either flip all the previous ones to 0; or flip the current '0' to '1' since S.substring(0, i) is monotonice, add '1' still satisfies the conidtion.
Time complexity: O(n)
Space complexity: O(n)
class Solution {
public int minFlipsMonoIncr(String S) {
int n = S.length();
int[] dp = new int[n+1];
int ones = 0;
for(int i = 1; i <= n; ++i) {
if(S.charAt(i-1) == '1') {
dp[i] = dp[i-1];
++ones;
}
else {
dp[i] = Math.min(dp[i-1] + 1, ones);
}
} return dp[n];
}
}
Idea 2.b the above formula shows the current dp depends only on the previous number, the array dp[] is not needed
Time complexity: O(n)
Space complexity: O(1)
class Solution {
public int minFlipsMonoIncr(String S) {
int n = S.length();
int dp = 0;
int ones = 0;
for(int i = 1; i <= n; ++i) {
if(S.charAt(i-1) == '1') {
++ones;
}
else {
dp = Math.min(dp + 1, ones);
}
} return dp;
}
}
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