add codeforces solutions folder

This commit is contained in:
2026-03-05 19:55:52 +05:30
parent 77ff815f38
commit e698c35654
20 changed files with 778 additions and 0 deletions
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class Solution{
public:
char findKthBit(int n, int k){
int invertCount = 0;
int len = (1<<n)-1;
while(k>1){
if(k==len/2+1){
return invertCount % 2==0? '1' : '0';
}
if(k>len/2){
k = len-k+1;
invertCount++;
}
len/=2;
}
return invertCount%2==0?'0':'1';
}
};
//TC: o(n) , SC : o(1)
/*
Approach:
We do NOT build the full string Sn because its length grows exponentially (2^n - 1).
Instead, we use the recursive structure:
Sn = S(n-1) + "1" + reverse(invert(S(n-1)))
For any position k:
1) If k lies in the left half:
→ It directly corresponds to the same position in S(n-1).
2) If k is the middle element:
→ The value is always '1'.
3) If k lies in the right half:
→ The right half is reverse(invert(S(n-1))).
→ Mirror the index into the left half.
→ Remember that the value must be inverted.
We keep reducing the problem from Sn → S(n-1) until we reach
the base case S1 = "0".
The final answer depends on how many times we entered
the right half (i.e., how many inversions occurred).
Time Complexity: O(n)
Space Complexity: O(1) (iterative version)
*/
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class Solution{
public:
char findKthBit(int n, int k){
string seq = "0";
for(int i = 1;i<n && seq.length() < k;++i){
seq+='1';
string temp = seq;
for(int j=temp.length()-2;j>=0;--j){
char invertedBit = (temp[j]=='1')? '0': '1';
seq+=invertedBit;
}
}
return seq[k-1];
}
}
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class Solution{
public:
char findKthBit(int n, int k){
if(n==1) return '0';
int len = 1<<n;
if(k<len/2) {
return findKthBit(n-1,k);
}
else if(k == len/2){
return '1';
}
else{
char correspondingBit = findKthBit(n-1, len-k);
return ((correspondingBit == '0')? '1':'0');
}
}
}
/*
Recursive Idea:
The string is defined as:
Sn = S(n-1) + "1" + reverse(invert(S(n-1)))
Instead of building the full string (which grows exponentially),
we determine where the k-th position lies:
1) If k is in the left half:
→ It directly corresponds to the same position in S(n-1).
→ So recurse: findKthBit(n-1, k)
2) If k is exactly the middle:
→ The middle element is always '1'.
3) If k is in the right half:
→ The right half is reverse(invert(S(n-1))).
→ Mirror the index using (len - k).
→ Recursively find that bit in S(n-1).
→ Invert the result.
Each recursive call reduces n by 1,
tracing the origin of the bit back to the base case S1 = "0".
Time Complexity: O(n)
Space Complexity: O(n) (recursion stack)
*/
// TC: o(n) and SC : o(n)