greatest divisor of a number and prime factors relation - c++

Question is as follows :
Given two numbers n and k. For each number in the interval [1, n], your task is to calculate its largest divisor that is not divisible by k. Print the sum of all these divisors.
Note: k is always a prime number.
t=3*10^5,1<=n<=10^9, 2<=k<=10^9
My approach toward the question:
for every i in range 1 to n, the required divisors is i itself,only when that i is not a multiple of k.
If that i is multiple of k, then we have to find the greatest divisor of a number and match with k. If it does not match, then this divisor is my answer. otherwise, 2nd largest divisor is my answer.
for example,take n=10 and k=2, required divisors for every i in range 1 to 10 is 1, 1, 3, 1, 5, 3, 7, 1, 9, 5. sum of these divisors are 36. So ans=36.
My code,which works for a few test cases and failed for some.
#include<bits/stdc++.h>
using namespace std;
#define ll long long int
ll div2(ll n, ll k) {
if (n % k != 0 || n == 1) {
return n;
}
else {
for (int i = 2; i * i <= n; i++) {
if (n % i == 0) {
ll aa = n / i;
if (aa % k != 0) {
return aa;
}
}
}
}
return 1;
}
int main() {
ios_base::sync_with_stdio(false);
cin.tie(NULL);
int t;
cin >> t;
while (t--) {
ll n, k;
cin >> n >> k;
ll sum = 0, pp;
for (pp = 1; pp <= n; pp++) {
//cout << div2(pp, k);
sum = sum + div2(pp, k);
}
cout << sum << '\n';
}
}
Can someone help me where I am doing wrong or suggest me some faster logic to do this question as some of my test cases is showing TIME LIMIT EXCEED
after looking every possible explanation , i modify my code as follows:
#include<bits/stdc++.h>
using namespace std;
#define ll long long int
int main() {
ios_base::sync_with_stdio(false);
cin.tie(NULL);
int t;
cin >> t;
while (t--) {
ll n, i;
ll k, sum;
cin >> n >> k;
sum = (n * (n + 1)) / 2;
for (i = k; i <= n; i = i + k) {
ll dmax = i / k;
while (dmax % k == 0) {
dmax = dmax / k;
}
sum = (sum - i) + dmax;
}
cout << sum << '\n';
}
}
But still it is giving TIME LIMIT EXCEED for 3 test cases. Someone please help.

Like others already said, look at the constraints: t=3*10^5,1<=n<=10^9, 2<=k<=10^9.
If your test has a complexity O(n), which computing the sum via a loop has, you'll end up doing a t * n ~ 10^14. That's too much.
This challenge is a math one. You'll need to use two facts:
as you already saw, if i = j * k^s with j%k != 0, the largest divisor is j;
sum_{i=1}^t i = (t * (t+1)) / 2
We start with
S = sum(range(1, n)) = n * (n+1) / 2
then for all number of the form k * x we added too much, let's correct:
S = S - sum(k*x for x in range(1, n/k)) + sum(x for x in range(1, n/k))
= S - (k - 1) * (n/k) * (n/k + 1) / 2
continue for number of the form k^2 * x ... then k^p * x until the sum is empty...
Ok, people start writing code, so here's a small Python function:
def so61867604(n, k):
S = (n * (n+1)) // 2
k_pow = k
while k_pow <= n:
up = n // k_pow
S = S - (k - 1) * (up * (up + 1)) // 2
k_pow *= k
return S
and in action here https://repl.it/repls/OlivedrabKeyProjections

In itself this is more of a mathematical problem:
If cur = [1..n], as you have already noticed, the largest divisor = dmax = cur is, if cur % k != 0, otherwise dmax must be < cur. From k we know that it is at most divisible into other prime numbers... Since we want to make sure that dmax is not divisible by k we can do this with a while loop... whereby this is certainly also more elegantly possible (since dmax must be a prime number again due to the prime factorization).
So this should look like this (without guarantee just typed down - maybe I missed something in my thinking):
#include <iostream>
int main() {
unsigned long long n = 10;
unsigned long long k = 2;
for (auto cur_n = decltype(n){1}; cur_n <= n; cur_n++)
{
if (cur_n % k != 0) {
std::cout << "Largest divisor for " << cur_n << ": " << cur_n << " (SELF)" << std::endl;
} else {
unsigned long long dmax= cur_n/k;
while (dmax%k == 0)
dmax= dmax/k;
std::cout << "Largest divisor for " << cur_n << ": " << dmax<< std::endl;
}
}
}

I wonder if something like this is what One Lyner means.
(Note, this code has two errors in it, which are described in the comments, as well as can be elucidated by One Lyner's new code.)
C++ code:
#include <vector>
#include <iostream>
using namespace std;
#define ll long long int
int main()
{
ios_base::sync_with_stdio(false);
cin.tie(NULL);
int t;
cin >> t;
while (t--) {
ll n;
ll k, _k, result;
vector<ll> powers;
cin >> n >> k;
result = n * (n + 1) / 2;
_k = k;
while (_k <= n) {
powers.push_back(_k);
_k = _k * k;
}
for (ll p : powers) {
ll num_js = n / p;
result -= num_js * (num_js + 1) / 2 * (p - 1);
int i = 0;
while (p * powers[i] <= n) {
result += powers[i] * (p - 1);
i = i + 1;
}
}
cout << result << '\n';
}
}

Related

Floating point exception with big numbers and inaccurate results when changing integers to longs

I was given this problem which gives you 2 integers n and m, n representing the number of figures of the second number, and the second number is a binary number. For example:
n= 2
m= 11
After figuring out the binary number, you have to get that number to be 0. You are only allowed to substract 1 from the binary or divide by two. For example, in this case it would be:
3->2->1 so the result is 2 since there were 2 operations made
My program does work and displays the binary number and the number of operations. But when given big numbers, it throws floating point exception. My theory is that it is because ints are too short. But when I change them to longs, it throws a completely inaccurate result.
#include <bits/stdc++.h>
using namespace std;
int main()
{
int n, m, g, l, f, x, k, w;
cin >> n >> m;
g = pow(10, n);
k = pow(2, n - 1);
for (int i = 1; i <= n; i++)
{
l = m % g;
f = l / (g / 10);
if (f == 1)
{
x += k;
}
k /= 2;
g /= 10;
}
cout << x << endl;
while (x != 1)
{
if (x % 2 == 0)
{
x /= 2;
}
else
{
x -= 1;
}
w++;
}
cout << w;
return 0;
}

I don't understand the how prime numbers are calculated and modPow function is working in the following code

A Magic Fraction for N is one that has the following properties:
It is a proper fraction (The value is < 1)
It cannot be reduced further (The GCD of the numerator and the denominator is 1)
The product of the numerator and the denominator is factorial of N. i.e. if a/b is the fraction, then a*b = N!
Examples of Magic Fractions are:
1/2 [ gcd(1,2) = 1 and 1*2=2! ]
2/3 [ gcd(2,3) = 1 and 2*3=3! ]
3/8 [ gcd(3,8) = 1 and 3*8=4! ]
2/12 for example, is not a magic fraction, as even though 2*12=4!, gcd(2,12) != 1
And Magic fractions for number 3 are: 2/3 and 1/6 (since both of them satisfy the above criteria, are of the form a/b where a*b = 3!)
Now given a number N, you need to print the total number of magic fractions that exist, for all numbers between 1 and N (include magic fractions for N, too).
Can anybody tell me what is modPow function doing?
Refer the link to see the question, that will give an idea why this code.
using namespace std;
#define ll long long int
#define S(n) scanf("%lld", &n)
ll MOD = 1e18 + 7;
ll modPow(ll a, ll b)
{
ll res = 1;
a %= MOD;
for (; b; b >>= 1) {
if (b & 1)
res = res * a % MOD;
a = a * a % MOD;
}
return res;
}
int main()
{
ll i, j;
ll va = 1;
ll sum = 0;
ll prime[1000] = { 0 };
for (i = 2; i <= 500; i++) {
if (prime[i] == 0)
for (j = 2 * i; j <= 500; j += i)
prime[j] = 1;
}
ll val[600] = { 0 };
val[1] = 0;
val[2] = 1;
ll co = 0;
for (i = 3; i <= 500; i++) {
if (prime[i] == 0) {
co++;
}
ll t1 = modPow(2, co);
val[i] = t1 + val[i - 1];
val[i] %= MOD;
// cout << i << " " << val[i] << "\n";
}
ll n;
S(n);
cout << val[n] << "\n";
}

Find the sum of digits of a sequence of integers

I made up my mind to write a little piece of code that gets two integers, lets say M and N ( M <= N ) and sum the digits of all the integers between them, inclusive. So for example if M = 1 and N = 9, DigitSum will equal to 45. If M = 10 and N = 11 the sum will be (1 + 0 (10) + 1 + 1 (11) = 3).
Here is my code so far (Done the for loop instead of the return):
#include <iostream>
#include <vector>
using namespace std;
// the partial digits sums digitSum[i] = the sum of the digits between 0 and i
int digitSum[] = {0, 1, 3, 6, 10, 15, 21, 28, 36, 45};
int pow_of_ten[] = {1, 10, 100, 1000, 10000, 100000, 1000000, 10000000, 100000000, 1000000000};
// the sums of all the digits in the numbers from 1 to (10^(i) - 1) where i is the index in the array
long subsums[] = {0, 45, 20 * 45, 300 * 45, 4000 * 45, 50000 * 45, 600000 * 45, 7000000 * 45, 80000000 * 45,
900000000 * 45};
//Calculates the sum of all digits between 0 and M inclusive
long Digit_Sum(int M) {
if (M < 10) {
return digitSum[M];
}
long result = 0;
int same = M;
int counter = 0;
int lastdigit = 0;
while (same > 0) {
if (same < 10) {
lastdigit = same;
break;
}
same /= 10;
counter ++;
}
for(;counter >= 0; counter --) {
result += (subsums[counter] + M % pow_of_ten[counter] + 1) * lastdigit;
result += digitSum[lastdigit - 1] * pow_of_ten[counter];
if (counter == 0) {
break;
}
lastdigit = (M / pow_of_ten[counter - 1]) % 10;
}
return result;
}
int main() {
int M;
int N;
vector<long> sums;
while (true) {
cin >> M >> N;
if (M == 0 && N == 0) {
break;
}
sums.push_back(Digit_Sum(N) - Digit_Sum(M - 1));
}
for (vector<long>::iterator it = sums.begin(); it != sums.end(); ++it) {
cout << *it << endl;
}
}
For most cases this works well but an Online judge says it is wrong. I looked at other solutions that work but no one hard-coded the values in arrays the way I did. May this cause a partial problem, any ideas?
You can easily just create a for-loop to greatly simplify this code.
There is no need to go through all that effort.
for (Initialization Action, Boolean Expression, Update_Action)
Re deletion below: sorry, I have a bit influenza and mizread N as M. :(
I think a main error is M-1 in
sums.push_back(Digit_Sum(N) - Digit_Sum(M - 1));
Also noting that <when corrected that formula will only work for single-digit numbers. My comment earlier about using a simple formula was based on misunderstanding your problem description, in view of that formula and your examples. Both indicated single digit numbers only.
However, the complexity of the code appears unreasonably high. Consider this, assuming non-negative integers as input, and assuming m is always less than or equal to n:
#include <iostream>
#include <stdexcept>
using namespace std;
bool throwX() { throw std::runtime_error( "Ouch." ); }
auto main() -> int
{
for( ;; )
{
int m, n;
cin >> m >> n || throwX();
if( m == 0 && n == 0 ) { break; }
int sum = 0;
for( int i = m; i <= n; ++i )
{
for( int v = i; v != 0; v /= 10 )
{
sum += v % 10;
}
}
cout << sum << endl;
}
}
It needs not be more complicated than that.
Tested and working to spec, sans console input:
#include <iostream>
#include <string>
using namespace std;
void sum_a_to_b(const int & a, const int & b)
{
if (a <= b && a >= 0)
{
long long sum = 0;
for (int i = a; i <= b; i++)
{
sum += i;
}
cout << "Sum of digits from " << a << " through " << b << " is " << sum << ".\n";
}
}
int main()
{
sum_a_to_b(5, 6);
sum_a_to_b(1, 9);
}

how to reduce execution time

Currently the following problem is taking 3.008** seconds to execute for some testcase provided on hackerearth.com where allowed time is 3.0 seconds so i get time limit error. Please help to reduce execution time.
Problem:
Alice has just learnt multiplying two integers. He wants to multiply two integers X and Y to form a number Z.To make the problem interesting he will choose X in the range [1,M] and Y in the range [1,N].Help him to find the number of ways in which he can do this.
Input
First line of the input is the number of test cases T. It is followed by T lines. Each line has three space separated integers, the numbers Z, M and N.
Output
For each test case output a single integer, the number of ways.
Constraints
1 <= T <= 50
1 <= Z <= 10^12
1 <= M <= 10^12
1 <= N <= 10^12
CODE:
#include <iostream>
using namespace std;
int chk_div(long long a,long long b)
{
if(((a/b) * (b) )==a)return 1;
return 0;
}
int main()
{
int t;
long i,j,count;
long n,m,z;
cin>>t;
while(t--)
{count=0;
cin>>z>>m>>n;
if(m>z)m=z;
if(n>z)n=z;
if (m>n)m=n;
for(i=1;i<=m;i++)
{
if(chk_div(z,i))count++;
}
cout<<count<<"\n";
}
return 0;
}
The main problem with performance here is the fact that your inner loop does about 10^12 iterations. You can reduce it a million times to sqrt(z) <= 10^6.
The trick here is to notice that Alice can write z = x * y if and only if he can write z = y * x. Also, either x <= sqrt(z) or y <= sqrt(z). Using these facts you can iterate only up to square root of z to count all cases.
I believe this should get the job done (idea from #zch's answer):
#include <iostream>
#include <cmath>
auto MAX = [] (int A, int B) -> bool { return A > B ? A : B; };
auto MIN = [] (int A, int B) -> bool { return A < B ? A : B; };
using std::cout;
using std::cin;
int main() {
long long Z, M, N, T, low, high, temp, div;
int ans;
for (cin >> T; T--; ) {
cin >> Z >> M >> N;
temp = MIN(M, N);
low = MIN(sqrt(Z), temp);
high = MAX(M, N);
for( ans = 0; low > 0 && (Z / low) <= high; --low ) {
if ( Z % low == 0) {
++ans;
div = Z / low;
ans += (div != low && div <= temp);
}
//cout << temp << " * " << Z / temp << " = " << Z << "\n";
}
cout << ans << "\n";
}
return 0;
}
Will be adding comments in a bit
Code with comments:
#include <iostream>
#include <cmath>
auto MAX = [] (int A, int B) -> bool { return A > B ? A : B; };
auto MIN = [] (int A, int B) -> bool { return A < B ? A : B; };
using std::cout;
using std::cin;
int main() {
long long Z, M, N, T, low, high, temp, div;
int ans;
for (cin >> T; T--; ) {
cin >> Z >> M >> N;
temp = MIN(M, N);
low = MIN(sqrt(Z), temp);//Lowest value <--We start iteration from this number
high = MAX(M, N); //Maximum value
for( ans = 0; low > 0 && (Z / low) <= high; --low ) {
//Number of things going on in this for-loop
//I will start by explaining the condition:
//We want to keep iterating until either low is below 1
// or when the expression (Z / low) > high.
//Notice that as the value of low approaches 0,
//the expression (Z / low) approaches inf
if ( Z % low == 0) {
//If this condition evaluates to true, we know 2 things:
/*Z is divisible by this value of low and
low is in the range of MIN(M,N) <--true*/
/*Because of our condition, (Z / low) is
within the range of MAX(M, N) <--true*/
++ans;
div = Z / low;
//This second part checks if the opposite is true i.e.
/*the value of low is in the range of
MAX(M, N) <--true*/
/*the value (Z / low) is in the range of
MIN(M, N) <--true only in some cases*/
ans += (div != low && div <= temp);
//(div != low) is to avoid double counting
/*An example of this is when Z, M, N have the values:
1000000, 1000000, 1000000
The value of low at the start is 1000 */
}
}
cout << ans << "\n";
}
return 0;
}
In fact, you have to resolve the problem in a different way:
find the Prime decomposition:
so Z = A^a * B^b * ... * P^p with A, B, .., P prime numbers
and so you just have to compute the number of possibilities from a, b, ... p.
(So the result is up to (1 + a) * (1 + b) * ... * (1 + p) depending of M&N constraints).
Your if(((a/b) * (b) ) == a) return 1; will always return 1. Why are you dividing A with B (a/b) then multiply the result by B. This is ambiguous because, your answer will be A. when you say, (a/b) * (b). B`s will cancel each other out and you are left with A as your answer. And so basically you are comparing if A == A, which is true.

Number of combinations (N choose R) in C++

Here I try to write a program in C++ to find NCR. But I've got a problem in the result. It is not correct. Can you help me find what the mistake is in the program?
#include <iostream>
using namespace std;
int fact(int n){
if(n==0) return 1;
if (n>0) return n*fact(n-1);
};
int NCR(int n,int r){
if(n==r) return 1;
if (r==0&&n!=0) return 1;
else return (n*fact(n-1))/fact(n-1)*fact(n-r);
};
int main(){
int n; //cout<<"Enter A Digit for n";
cin>>n;
int r;
//cout<<"Enter A Digit for r";
cin>>r;
int result=NCR(n,r);
cout<<result;
return 0;
}
Your formula is totally wrong, it's supposed to be fact(n)/fact(r)/fact(n-r), but that is in turn a very inefficient way to compute it.
See Fast computation of multi-category number of combinations and especially my comments on that question. (Oh, and please reopen that question also so I can answer it properly)
The single-split case is actually very easy to handle:
unsigned nChoosek( unsigned n, unsigned k )
{
if (k > n) return 0;
if (k * 2 > n) k = n-k;
if (k == 0) return 1;
int result = n;
for( int i = 2; i <= k; ++i ) {
result *= (n-i+1);
result /= i;
}
return result;
}
Demo: http://ideone.com/aDJXNO
If the result doesn't fit, you can calculate the sum of logarithms and get the number of combinations inexactly as a double. Or use an arbitrary-precision integer library.
I'm putting my solution to the other, closely related question here, because ideone.com has been losing code snippets lately, and the other question is still closed to new answers.
#include <utility>
#include <vector>
std::vector< std::pair<int, int> > factor_table;
void fill_sieve( int n )
{
factor_table.resize(n+1);
for( int i = 1; i <= n; ++i )
factor_table[i] = std::pair<int, int>(i, 1);
for( int j = 2, j2 = 4; j2 <= n; (j2 += j), (j2 += ++j) ) {
if (factor_table[j].second == 1) {
int i = j;
int ij = j2;
while (ij <= n) {
factor_table[ij] = std::pair<int, int>(j, i);
++i;
ij += j;
}
}
}
}
std::vector<unsigned> powers;
template<int dir>
void factor( int num )
{
while (num != 1) {
powers[factor_table[num].first] += dir;
num = factor_table[num].second;
}
}
template<unsigned N>
void calc_combinations(unsigned (&bin_sizes)[N])
{
using std::swap;
powers.resize(0);
if (N < 2) return;
unsigned& largest = bin_sizes[0];
size_t sum = largest;
for( int bin = 1; bin < N; ++bin ) {
unsigned& this_bin = bin_sizes[bin];
sum += this_bin;
if (this_bin > largest) swap(this_bin, largest);
}
fill_sieve(sum);
powers.resize(sum+1);
for( unsigned i = largest + 1; i <= sum; ++i ) factor<+1>(i);
for( unsigned bin = 1; bin < N; ++bin )
for( unsigned j = 2; j <= bin_sizes[bin]; ++j ) factor<-1>(j);
}
#include <iostream>
#include <cmath>
int main(void)
{
unsigned bin_sizes[] = { 8, 1, 18, 19, 10, 10, 7, 18, 7, 2, 16, 8, 5, 8, 2, 3, 19, 19, 12, 1, 5, 7, 16, 0, 1, 3, 13, 15, 13, 9, 11, 6, 15, 4, 14, 4, 7, 13, 16, 2, 19, 16, 10, 9, 9, 6, 10, 10, 16, 16 };
calc_combinations(bin_sizes);
char* sep = "";
for( unsigned i = 0; i < powers.size(); ++i ) {
if (powers[i]) {
std::cout << sep << i;
sep = " * ";
if (powers[i] > 1)
std::cout << "**" << powers[i];
}
}
std::cout << "\n\n";
}
The definition of N choose R is to compute the two products and divide one with the other,
(N * N-1 * N-2 * ... * N-R+1) / (1 * 2 * 3 * ... * R)
However, the multiplications may become too large really quick and overflow existing data type. The implementation trick is to reorder the multiplication and divisions as,
(N)/1 * (N-1)/2 * (N-2)/3 * ... * (N-R+1)/R
It's guaranteed that at each step the results is divisible (for n continuous numbers, one of them must be divisible by n, so is the product of these numbers).
For example, for N choose 3, at least one of the N, N-1, N-2 will be a multiple of 3, and for N choose 4, at least one of N, N-1, N-2, N-3 will be a multiple of 4.
C++ code given below.
int NCR(int n, int r)
{
if (r == 0) return 1;
/*
Extra computation saving for large R,
using property:
N choose R = N choose (N-R)
*/
if (r > n / 2) return NCR(n, n - r);
long res = 1;
for (int k = 1; k <= r; ++k)
{
res *= n - k + 1;
res /= k;
}
return res;
}
A nice way to implement n-choose-k is to base it not on factorial, but on a "rising product" function which is closely related to the factorial.
The rising_product(m, n) multiplies together m * (m + 1) * (m + 2) * ... * n, with rules for handling various corner cases, like n >= m, or n <= 1:
See here for an implementation nCk as well as nPk as a intrinsic functions in an interpreted programming language written in C:
static val rising_product(val m, val n)
{
val acc;
if (lt(n, one))
return one;
if (ge(m, n))
return one;
if (lt(m, one))
m = one;
acc = m;
m = plus(m, one);
while (le(m, n)) {
acc = mul(acc, m);
m = plus(m, one);
}
return acc;
}
val n_choose_k(val n, val k)
{
val top = rising_product(plus(minus(n, k), one), n);
val bottom = rising_product(one, k);
return trunc(top, bottom);
}
val n_perm_k(val n, val k)
{
return rising_product(plus(minus(n, k), one), n);
}
This code doesn't use operators like + and < because it is type generic (the type val represents a value of any kinds, such as various kinds of numbers including "bignum" integers) and because it is written in C (no overloading), and because it is the basis for a Lisp-like language that doesn't have infix syntax.
In spite of that, this n-choose-k implementation has a simple structure that is easy to follow.
Legend: le: less than or equal; ge: greater than or equal; trunc: truncating division; plus: addition, mul: multiplication, one: a val typed constant for the number one.
the line
else return (n*fact(n-1))/fact(n-1)*fact(n-r);
should be
else return (n*fact(n-1))/(fact(r)*fact(n-r));
or even
else return fact(n)/(fact(r)*fact(n-r));
Use double instead of int.
UPDATE:
Your formula is also wrong. You should use fact(n)/fact(r)/fact(n-r)
this is for reference to not to get time limit exceeded while solving nCr in competitive programming,i am posting this as it will be helpful to u as you already got answer for ur question,
Getting the prime factorization of the binomial coefficient is probably the most efficient way to calculate it, especially if multiplication is expensive. This is certainly true of the related problem of calculating factorial (see Click here for example).
Here is a simple algorithm based on the Sieve of Eratosthenes that calculates the prime factorization. The idea is basically to go through the primes as you find them using the sieve, but then also to calculate how many of their multiples fall in the ranges [1, k] and [n-k+1,n]. The Sieve is essentially an O(n \log \log n) algorithm, but there is no multiplication done. The actual number of multiplications necessary once the prime factorization is found is at worst O\left(\frac{n \log \log n}{\log n}\right) and there are probably faster ways than that.
prime_factors = []
n = 20
k = 10
composite = [True] * 2 + [False] * n
for p in xrange(n + 1):
if composite[p]:
continue
q = p
m = 1
total_prime_power = 0
prime_power = [0] * (n + 1)
while True:
prime_power[q] = prime_power[m] + 1
r = q
if q <= k:
total_prime_power -= prime_power[q]
if q > n - k:
total_prime_power += prime_power[q]
m += 1
q += p
if q > n:
break
composite[q] = True
prime_factors.append([p, total_prime_power])
print prime_factors
Recursive function is used incorrectly here. fact() function should be changed into this:
int fact(int n){
if(n==0||n==1) //factorial of both 0 and 1 is 1. Base case.
{
return 1;
}else
return (n*fact(n-1));//recursive call.
};
Recursive call should be made in else part.
NCR() function should be changed into this:
int NCR(int n,int r){
if(n==r) {
return 1;
} else if (r==0&&n!=0) {
return 1;
} else if(r==1)
{
return n;
}
else
{
return fact(n)/(fact(r)*fact(n-r));
}
};
// CPP program To calculate The Value Of nCr
#include <bits/stdc++.h>
using namespace std;
int fact(int n);
int nCr(int n, int r)
{
return fact(n) / (fact(r) * fact(n - r));
}
// Returns factorial of n
int fact(int n)
{
int res = 1;
for (int i = 2; i <= n; i++)
res = res * i;
return res;
}
// Driver code
int main()
{
int n = 5, r = 3;
cout << nCr(n, r);
return 0;
}