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31 changes: 31 additions & 0 deletions Mathematics_Algo/BinaryExponentiation
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//This ia a technnique to calculate (a^n) in O(logn) time complexity
#include<bits/stdc++.h>
using namespace std;
int power(int base,int num)
{
int result=1;
while(num>0)
{
if(num%2)
{
result=result*base;
num--;
}
else
{
base=base*base;
num=num/2;
}
}
return result;
}
int main()
{
int b,n,r;
cout<<"Enter Base And Power:";
cin>>b>>n;
power(b,n);
r=power(b,n);
cout<<r;
return 0;
}
21 changes: 21 additions & 0 deletions Mathematics_Algo/ModularExponentiation
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//It is a technique to calculate (a^n)%p where p is prime
#include<bits/stc++.h>
using namespace std;
int modulararithmetic(int base,int power,int p)
{
int result=1;
while(power)
{
if(power%2)
{
result=(result*base)%p;
power--;
}
else
{
base=(base*base)%p;
power=power/2;
}
}
return power;
}
48 changes: 48 additions & 0 deletions String_Algo/RabinKrabAlgorithm
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//This Algorithm is badically helpful in Pattern Searching
/* pat -> pattern
txt -> text
q -> A prime number
*/
Algorithm given in the CLRS book */
#include <bits/stdc++.h>
using namespace std;
#define d 256 // d is the number of characters in the input alphabet
void rabinkrabsearch(char pat[], char txt[], int q)
{
int M = strlen(pat);
int N = strlen(txt);
int i, j;
int p = 0; // hash value for pattern
int t = 0; // hash value for txt
int h = 1;
for (i = 0; i < M - 1; i++)
h = (h * d) % q;
for (i = 0; i < M; i++)
{
p = (d * p + pat[i]) % q;
t = (d * t + txt[i]) % q;
}
for (i = 0; i <= N - M; i++)
{
if ( p == t )
{
for (j = 0; j < M; j++)
{
if (txt[i+j] != pat[j])
break;
}
if (j == M)
cout<<"Pattern found at index "<< i<<endl;
}

if ( i < N-M )
{
t = (d*(t - txt[i]*h) + txt[i+M])%q;

// We might get negative value of t, converting it
// to positive
if (t < 0)
t = (t + q);
}
}
}