1404. Number of Steps to Reduce a Number in Binary Representation to One
Description
Given the binary representation of an integer as a string s, return the number of steps to reduce it to 1 under the following rules:
-
If the current number is even, you have to divide it by
2. -
If the current number is odd, you have to add
1to it.
It is guaranteed that you can always reach one for all test cases.
Β
Example 1:
Input: s = "1101" Output: 6 Explanation: "1101" corressponds to number 13 in their decimal representation. Step 1) 13 is odd, add 1 and obtain 14.Β Step 2) 14 is even, divide by 2 and obtain 7. Step 3) 7 is odd, add 1 and obtain 8. Step 4) 8 is even, divide by 2 and obtain 4.Β Step 5) 4 is even, divide by 2 and obtain 2.Β Step 6) 2 is even, divide by 2 and obtain 1.Β
Example 2:
Input: s = "10" Output: 1 Explanation: "10" corresponds to number 2 in their decimal representation. Step 1) 2 is even, divide by 2 and obtain 1.Β
Example 3:
Input: s = "1" Output: 0
Β
Constraints:
1 <= s.lengthΒ <= 500sconsists of characters '0' or '1's[0] == '1'
Solutions
Solution 1: Simulation
We simulate operations \(1\) and \(2\), while maintaining a carry \(\textit{carry}\) to indicate whether there is a current carry. Initially, \(\textit{carry} = \text{false}\).
We traverse the string \(s\) from the end toward the beginning:
- If \(\textit{carry}\) is \(\text{true}\), the current bit \(c\) needs to be incremented by \(1\). If \(c\) is \(0\), it becomes \(1\) after adding \(1\), and \(\textit{carry}\) becomes \(\text{false}\); if \(c\) is \(1\), it becomes \(0\) after adding \(1\), and \(\textit{carry}\) remains \(\text{true}\).
- If \(c\) is \(1\), we need to perform operation \(1\), i.e., add \(1\), and \(\textit{carry}\) becomes \(\text{true}\).
- At this point \(c\) is \(0\), so we need to perform operation \(2\), i.e., divide by \(2\).
After the traversal, if \(\textit{carry}\) is still \(\text{true}\), we need to perform operation \(1\) one more time.
The time complexity is \(O(n)\), where \(n\) is the length of the string \(s\). The space complexity is \(O(1)\).
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