# Chinese Remainder Theorem with solution in C++

Today we will see a rather interesting problem called the Chinese remainder problem and try to understand the theory behind it. The Chinese Remainder theorem was first introduced by a Chinese mathematician Sun Tzu. Let us define the problem properly.

## Chinese Remainder Problem in C++

Let us consider a set of numbers p1,p2,…..,pn such that they are co-prime. Our objective is to find an unknown,x, given the following data:

x= a1 mod p1 meaning that x gives remainder a1 when divided by p1

x=a2 mod p2 x gives remainder a2 when divided by p2

……

x= an mod pn

with this information, we are supposed to determine x. We will see shortly, however, that multiple values of x are possible which satisfy the given constraints. Note that the solution does not always exist as the constraints may be contradicting.

## Solution to the Chinese Remainder Problem

So as usual we can solve it using brute force or efficiently. Let us see the brute force first to get an idea.

**Brute force implementation**

So we have a set of numbers which are coprime and their corresponding remainders as the input. We need to find a number that satisfies these conditions.

The obvious idea would be to go through each number starting from 1 and checking if it satisfies the conditions. But, of course, it is not a very refined method as it becomes computationally expensive as we go to larger numbers.

#include<iostream> #include<vector> using namespace std; int main() { vector<int> pr, rem; // vector that holds the coprimes and the remainders int i,num=1,n,flag=1; int p,r; cin>>n; // number of inputs for(i=0;i<n;i++) { cin>>p>>r; pr.push_back(p); rem.push_back(r); } while(1) { flag=1; for(i=0;i<n;i++) if(num%pr[i] != rem[i]) // if the number does not satisfy we flag it { flag=0; } if(flag==1) // if the flag does not change it means all conditions are satisfied break; num++; } cout<< num; return 0; }

Now let’s get to the proper solution.

### Efficient method

Let us take an example to understand the problem more deeply.

Say,

1.x= 3 mod 4

2.x= 5 mod 6

3.x= 2 mod 5

We will start the manual calculation with the first statement.

1.x= 3 mod 4. Now when we take natural numbers, we can see that 3, 7, 11,15,… and so on can satisfy this. Or, in other words, all numbers from 3 as we add 4 will satisfy this condition. Let us call this a 3(+4 ) set.

Now let us take the second statement and filter out the possible numbers from the existing set of 3(+4) numbers.

2.x= 5 mod 6. The first number from the 3 (+4) set to satisfy this is 11, then we have 23, and so on. We can see that the common difference has become 12 which is the LCM of 6 and 4. Also notice that we haven’t checked all the natural numbers that satisfy this condition this time, only the ones in the previous set. This will reduce the number of checkings we have to do.

So now the set becomes 11 (+12) set.

To this let us add the final condition.

3.x= 2 mod 5. If we do this similarly we can check that 47 is the first number in the 11(+12 ) set that satisfies this condition. Now we can calculate the common difference as LCM of 5,12 which is 60. So the final set is 47 (+60 ).

The solution is 47, 107,167, etc. as all these numbers will satisfy the conditions. As we have discussed there are multiple solutions possible in this scenario. But generally we take the least number as the solution as we have done in the brute force method.

Let us now see the c++ code for this.

#include<iostream> #include<vector> using namespace std; int gcd(int n1,int n2) // calculating gcd using eucledian's formula { if(n2==0) return n1; return gcd(n2,n1%n2); } int lcm(int n1,int n2) { //caculating lcm using the formula: lcm x gcd = n1 x n2 int gc,lc; gc=gcd(n1,n2); lc=n1*n2/gc; return lc; } int main() { int x,cd,i,p,r,n; int cnt,flag; // we use this to count the max checks, we can keep it as much as we want vector<int> pr,rem; cin>>n; // number of inputs for(i=0;i<n;i++) { cin>>p>>r; pr.push_back(p); rem.push_back(r); } x=rem[0]; // let us say the first number will be the starting and cd= pr[0]; // the first remainder will be the common difference like we saw in the example for(i=1;i<n;i++) { cnt=0; flag=0; while(cnt<100000) // Here we have taken a max value for 10^5 because we are dealing with large numbers { if(x%pr[i]==rem[i]) // condition for finding the next start value { flag=1; break; } x=x+cd; } if(flag==0) // This means that no number until cnt range has matched the condition. { cout<<"No solution."; // Hence no solution is possible return 0; } cd=lcm(pr[i],cd); // updating the cd } cout<<x<<" "<<cd; return 0; }

So we can see the output for the example we have seen earlier:

3 4 3 6 5 5 2 47 60

We have used the Euclidean method of finding the HCF and then using the well-known formula to calculate the lcm. For more understanding of how to calculate the HCF using the Eucledian Method, visit this page

## Leave a Reply