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Add solution for Day 19 problem in Java
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# Find Kth Bit in Nth Binary String | ||
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## Problem Statement | ||
Given two positive integers n and k, the binary string Sn is formed as follows: | ||
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S1 = "0" | ||
Si = Si - 1 + "1" + reverse(invert(Si - 1)) for i > 1 | ||
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Where + denotes the concatenation operation, reverse(x) returns the reversed string x, and invert(x) inverts all the bits in x (0 changes to 1 and 1 changes to 0). | ||
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## Explanation | ||
For example, the first four strings in the above sequence are: | ||
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S1 = "0" | ||
S2 = "011" | ||
S3 = "0111001" | ||
S4 = "011100110110001" | ||
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Return the kth bit in Sn. It is guaranteed that k is valid for the given n. | ||
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## Example | ||
Example 1: | ||
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Input: n = 3, k = 1 | ||
Output: "0" | ||
Explanation: S3 is "0111001". | ||
The 1st bit is "0". | ||
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Example 2: | ||
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Input: n = 4, k = 11 | ||
Output: "1" | ||
Explanation: S4 is "011100110110001". | ||
The 11th bit is "1". | ||
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### JAVA Approach Explanation | ||
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1. Base case: When n = 1, the binary string is "0" | ||
2. Find the length of the current string Sn, which is 2^n - 1 | ||
3. Find the middle position | ||
4. If k is the middle position, return '1' | ||
5. If k is in the first half, find the bit in Sn-1 | ||
6. If k is in the second half, find the bit in Sn-1 and invert it | ||
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### Time Complexity ⏱️ | ||
- The overall **time complexity** is `O(n)` because we recursively reduce the problem size with each step by one level. | ||
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### Space Complexity 💾 | ||
- The space complexity is `O(n)` due to the recursion stack. |
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package solutions.day19; | ||
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public class solution_java { | ||
public char findKthBit(int n, int k) { | ||
if (n == 1) | ||
return '0'; | ||
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int length = (1 << n) - 1; | ||
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int mid = length / 2 + 1; | ||
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if (k == mid) | ||
return '1'; | ||
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if (k < mid) | ||
return findKthBit(n - 1, k); | ||
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return findKthBit(n - 1, length - k + 1) == '0' ? '1' : '0'; | ||
} | ||
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} |