# math how - Algorithm to find Largest prime factor of a number

the 600851475143 (24)

Actually there are several more efficient ways to find factors of big numbers (for smaller ones trial division works reasonably well).

One method which is very fast if the input number has two factors very close to its square root is known as Fermat factorisation. It makes use of the identity N = (a + b)(a - b) = a^2 - b^2 and is easy to understand and implement. Unfortunately it's not very fast in general.

The best known method for factoring numbers up to 100 digits long is the Quadratic sieve. As a bonus, part of the algorithm is easily done with parallel processing.

Yet another algorithm I've heard of is Pollard's Rho algorithm. It's not as efficient as the Quadratic Sieve in general but seems to be easier to implement.

Once you've decided on how to split a number into two factors, here is the fastest algorithm I can think of to find the largest prime factor of a number:

Create a priority queue which initially stores the number itself. Each iteration, you remove the highest number from the queue, and attempt to split it into two factors (not allowing 1 to be one of those factors, of course). If this step fails, the number is prime and you have your answer! Otherwise you add the two factors into the queue and repeat.

What is the best approach to calculating the largest prime factor of a number?

I'm thinking the most efficient would be the following:

- Find lowest prime number that divides cleanly
- Check if result of division is prime
- If not, find next lowest
- Go to 2.

I'm basing this assumption on it being easier to calculate the small prime factors. Is this about right? What other approaches should I look into?

Edit: I've now realised that my approach is futile if there are more than 2 prime factors in play, since step 2 fails when the result is a product of two other primes, therefore a recursive algorithm is needed.

Edit again: And now I've realised that this does still work, because the last found prime number has to be the highest one, therefore any further testing of the non-prime result from step 2 would result in a smaller prime.

```
n = abs(number);
result = 1;
if (n mod 2 == 0) {
result = 2;
while (n mod 2 = 0) n /= 2;
}
for(i=3; i<sqrt(n); i+=2) {
if (n mod i == 0) {
result = i;
while (n mod i = 0) n /= i;
}
}
return max(n,result)
```

There are some modulo tests that are superflous, as n can never be divided by 6 if all factors 2 and 3 have been removed. You could only allow primes for i, which is shown in several other answers here.

You could actually intertwine the sieve of Eratosthenes here:

- First create the list of integers up to sqrt(n).
- In the for loop mark all multiples of i up to the new sqrt(n) as not prime, and use a while loop instead.
- set i to the next prime number in the list.

Also see this question.

Found this solution on the web by "James Wang"

```
public static int getLargestPrime( int number) {
if (number <= 1) return -1;
for (int i = number - 1; i > 1; i--) {
if (number % i == 0) {
number = i;
}
}
return number;
}
```

Calculates the largest prime factor of a number using recursion in C++. The working of the code is explained below:

```
int getLargestPrime(int number) {
int factor = number; // assumes that the largest prime factor is the number itself
for (int i = 2; (i*i) <= number; i++) { // iterates to the square root of the number till it finds the first(smallest) factor
if (number % i == 0) { // checks if the current number(i) is a factor
factor = max(i, number / i); // stores the larger number among the factors
break; // breaks the loop on when a factor is found
}
}
if (factor == number) // base case of recursion
return number;
return getLargestPrime(factor); // recursively calls itself
}
```

```
//this method skips unnecessary trial divisions and makes
//trial division more feasible for finding large primes
public static void main(String[] args)
{
long n= 1000000000039L; //this is a large prime number
long i = 2L;
int test = 0;
while (n > 1)
{
while (n % i == 0)
{
n /= i;
}
i++;
if(i*i > n && n > 1)
{
System.out.println(n); //prints n if it's prime
test = 1;
break;
}
}
if (test == 0)
System.out.println(i-1); //prints n if it's the largest prime factor
}
```

Here's the best algorithm I know of (in Python)

```
def prime_factors(n):
"""Returns all the prime factors of a positive integer"""
factors = []
d = 2
while n > 1:
while n % d == 0:
factors.append(d)
n /= d
d = d + 1
return factors
pfs = prime_factors(1000)
largest_prime_factor = max(pfs) # The largest element in the prime factor list
```

The above method runs in `O(n)`

in the worst case (when the input is a prime number).

**EDIT:**

Below is the `O(sqrt(n))`

version, as suggested in the comment. Here is the code, once more.

```
def prime_factors(n):
"""Returns all the prime factors of a positive integer"""
factors = []
d = 2
while n > 1:
while n % d == 0:
factors.append(d)
n /= d
d = d + 1
if d*d > n:
if n > 1: factors.append(n)
break
return factors
pfs = prime_factors(1000)
largest_prime_factor = max(pfs) # The largest element in the prime factor list
```

With Java:

For `int`

values:

```
public static int[] primeFactors(int value) {
int[] a = new int[31];
int i = 0, j;
int num = value;
while (num % 2 == 0) {
a[i++] = 2;
num /= 2;
}
j = 3;
while (j <= Math.sqrt(num) + 1) {
if (num % j == 0) {
a[i++] = j;
num /= j;
} else {
j += 2;
}
}
if (num > 1) {
a[i++] = num;
}
int[] b = Arrays.copyOf(a, i);
return b;
}
```

For `long`

values:

```
static long[] getFactors(long value) {
long[] a = new long[63];
int i = 0;
long num = value;
while (num % 2 == 0) {
a[i++] = 2;
num /= 2;
}
long j = 3;
while (j <= Math.sqrt(num) + 1) {
if (num % j == 0) {
a[i++] = j;
num /= j;
} else {
j += 2;
}
}
if (num > 1) {
a[i++] = num;
}
long[] b = Arrays.copyOf(a, i);
return b;
}
```

My answer is based on Triptych's, but improves a lot on it. It is based on the fact that beyond 2 and 3, all the prime numbers are of the form 6n-1 or 6n+1.

```
var largestPrimeFactor;
if(n mod 2 == 0)
{
largestPrimeFactor = 2;
n = n / 2 while(n mod 2 == 0);
}
if(n mod 3 == 0)
{
largestPrimeFactor = 3;
n = n / 3 while(n mod 3 == 0);
}
multOfSix = 6;
while(multOfSix - 1 <= n)
{
if(n mod (multOfSix - 1) == 0)
{
largestPrimeFactor = multOfSix - 1;
n = n / largestPrimeFactor while(n mod largestPrimeFactor == 0);
}
if(n mod (multOfSix + 1) == 0)
{
largestPrimeFactor = multOfSix + 1;
n = n / largestPrimeFactor while(n mod largestPrimeFactor == 0);
}
multOfSix += 6;
}
```

I recently wrote a blog article explaining how this algorithm works.

I would venture that a method in which there is no need for a test for primality (and no sieve construction) would run faster than one which does use those. If that is the case, this is probably the fastest algorithm here.

This is probably not always faster but more optimistic about that you find a big prime divisor:

`N`

is your number- If it is prime then
`return(N)`

- Calculate primes up until
`Sqrt(N)`

- Go through the primes in descending order (largest first)
- If
`N is divisible by Prime`

then`Return(Prime)`

- If

Edit: In step 3 you can use the Sieve of Eratosthenes or Sieve of Atkins or whatever you like, but by itself the sieve won't find you the biggest prime factor. (Thats why I wouldn't choose SQLMenace's post as an official answer...)

JavaScript code:

```
'option strict';
function largestPrimeFactor(val, divisor = 2) {
let square = (val) => Math.pow(val, 2);
while ((val % divisor) != 0 && square(divisor) <= val) {
divisor++;
}
return square(divisor) <= val
? largestPrimeFactor(val / divisor, divisor)
: val;
}
```

Usage Example:

```
let result = largestPrimeFactor(600851475143);
```

I think it would be good to store somewhere all possible primes smaller then n and just iterate through them to find the biggest divisior. You can get primes from prime-numbers.org.

Of course I assume that your number isn't too big :)

I am using algorithm which continues dividing the number by it's current Prime Factor.

My Solution in python 3 :

```
def PrimeFactor(n):
m = n
while n%2==0:
n = n//2
if n == 1: # check if only 2 is largest Prime Factor
return 2
i = 3
sqrt = int(m**(0.5)) # loop till square root of number
last = 0 # to store last prime Factor i.e. Largest Prime Factor
while i <= sqrt :
while n%i == 0:
n = n//i # reduce the number by dividing it by it's Prime Factor
last = i
i+=2
if n> last: # the remaining number(n) is also Factor of number
return n
else:
return last
print(PrimeFactor(int(input())))
```

Input : `10`

Output : `5`

Input : `600851475143`

Output : `6857`

Here is the same function[email protected] provided as a generator, which has also been simplified slightly.

```
def primes(n):
d = 2
while (n > 1):
while (n%d==0):
yield d
n /= d
d += 1
```

the max prime can then be found using:

```
n= 373764623
max(primes(n))
```

and a list of factors found using:

```
list(primes(n))
```

Here is my attempt in c#. The last print out is the largest prime factor of the number. I checked and it works.

```
namespace Problem_Prime
{
class Program
{
static void Main(string[] args)
{
/*
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143 ?
*/
long x = 600851475143;
long y = 2;
while (y < x)
{
if (x % y == 0)
{
// y is a factor of x, but is it prime
if (IsPrime(y))
{
Console.WriteLine(y);
}
x /= y;
}
y++;
}
Console.WriteLine(y);
Console.ReadLine();
}
static bool IsPrime(long number)
{
//check for evenness
if (number % 2 == 0)
{
if (number == 2)
{
return true;
}
return false;
}
//don't need to check past the square root
long max = (long)Math.Sqrt(number);
for (int i = 3; i <= max; i += 2)
{
if ((number % i) == 0)
{
return false;
}
}
return true;
}
}
}
```

```
#include<stdio.h>
#include<conio.h>
#include<math.h>
#include <time.h>
factor(long int n)
{
long int i,j;
while(n>=4)
{
if(n%2==0) { n=n/2; i=2; }
else
{ i=3;
j=0;
while(j==0)
{
if(n%i==0)
{j=1;
n=n/i;
}
i=i+2;
}
i-=2;
}
}
return i;
}
void main()
{
clock_t start = clock();
long int n,sp;
clrscr();
printf("enter value of n");
scanf("%ld",&n);
sp=factor(n);
printf("largest prime factor is %ld",sp);
printf("Time elapsed: %f\n", ((double)clock() - start) / CLOCKS_PER_SEC);
getch();
}
```

It seems to me that step #2 of the algorithm given isn't going to be all that efficient an approach. You have no reasonable expectation that it is prime.

Also, the previous answer suggesting the Sieve of Eratosthenes is utterly wrong. I just wrote two programs to factor 123456789. One was based on the Sieve, one was based on the following:

```
1) Test = 2
2) Current = Number to test
3) If Current Mod Test = 0 then
3a) Current = Current Div Test
3b) Largest = Test
3c) Goto 3.
4) Inc(Test)
5) If Current < Test goto 4
6) Return Largest
```

This version was 90x faster than the Sieve.

The thing is, on modern processors the type of operation matters far less than the number of operations, not to mention that the algorithm above can run in cache, the Sieve can't. The Sieve uses a lot of operations striking out all the composite numbers.

Note, also, that my dividing out factors as they are identified reduces the space that must be tested.

The simplest solution is a pair of *mutually recursive* functions.

The first function generates all the prime numbers:

- Start with a list that consists of 2 and all odd numbers greater than 2.
- Remove all numbers that are not prime. That is, numbers that have no prime factors (other than themselves). See below.

The second function returns the prime factors of a given number `n`

in increasing order. The strategy is to try to divide `n`

by each prime that could possibly be its divisor:

- Take a list of all the primes in increasing order (see above).
- Let
`p`

be a prime in that list, and`ps`

be the prime factors of`n/p`

(see step 1).- If
`p`

squared is greater than our number`n`

, then`n`

is prime. We are done. - If
`p`

divides`n`

, then`p`

is a prime factor of`n`

. The other factors are`ps`

. - Otherwise
`p`

is not a prime factor of`n`

.

- If

The largest prime factor of `n`

is the last number given by the second function.

For clarification, here is the code for the above, in Haskell:

```
import Control.Monad
-- All the primes
primes = 2 : filter (ap (<=) (head . primeFactors)) [3,5..]
-- Gives the prime factors of its argument
primeFactors = factor primes
where factor [] n = []
factor [email protected](p:ps) n =
if p*p > n then [n]
else let (d,r) = divMod n p in
if r == 0 then p : factor xs d
else factor ps n
-- Gives the largest prime factor of its argument
largestFactor = last . primeFactors
```

Compute a list storing prime numbers first, e.g. 2 3 5 7 11 13 ...

Every time you prime factorize a number, use implementation by Triptych but iterating this list of prime numbers rather than natural integers.

Not the quickest but it works!

```
static bool IsPrime(long num)
{
long checkUpTo = (long)Math.Ceiling(Math.Sqrt(num));
for (long i = 2; i <= checkUpTo; i++)
{
if (num % i == 0)
return false;
}
return true;
}
```

The following C++ algorithm is not the best one, but it works for numbers under a billion and its pretty fast

```
#include <iostream>
using namespace std;
// ------ is_prime ------
// Determines if the integer accepted is prime or not
bool is_prime(int n){
int i,count=0;
if(n==1 || n==2)
return true;
if(n%2==0)
return false;
for(i=1;i<=n;i++){
if(n%i==0)
count++;
}
if(count==2)
return true;
else
return false;
}
// ------ nextPrime -------
// Finds and returns the next prime number
int nextPrime(int prime){
bool a = false;
while (a == false){
prime++;
if (is_prime(prime))
a = true;
}
return prime;
}
// ----- M A I N ------
int main(){
int value = 13195;
int prime = 2;
bool done = false;
while (done == false){
if (value%prime == 0){
value = value/prime;
if (is_prime(value)){
done = true;
}
} else {
prime = nextPrime(prime);
}
}
cout << "Largest prime factor: " << value << endl;
}
```

**Prime factor using sieve :**

```
#include <bits/stdc++.h>
using namespace std;
#define N 10001
typedef long long ll;
bool visit[N];
vector<int> prime;
void sieve()
{
memset( visit , 0 , sizeof(visit));
for( int i=2;i<N;i++ )
{
if( visit[i] == 0)
{
prime.push_back(i);
for( int j=i*2; j<N; j=j+i )
{
visit[j] = 1;
}
}
}
}
void sol(long long n, vector<int>&prime)
{
ll ans = n;
for(int i=0; i<prime.size() || prime[i]>n; i++)
{
while(n%prime[i]==0)
{
n=n/prime[i];
ans = prime[i];
}
}
ans = max(ans, n);
cout<<ans<<endl;
}
int main()
{
ll tc, n;
sieve();
cin>>n;
sol(n, prime);
return 0;
}
```

```
#python implementation
import math
n = 600851475143
i = 2
factors=set([])
while i<math.sqrt(n):
while n%i==0:
n=n/i
factors.add(i)
i+=1
factors.add(n)
largest=max(factors)
print factors
print largest
```

Python Iterative approach by removing all prime factors from the number

```
def primef(n):
if n <= 3:
return n
if n % 2 == 0:
return primef(n/2)
elif n % 3 ==0:
return primef(n/3)
else:
for i in range(5, int((n)**0.5) + 1, 6):
#print i
if n % i == 0:
return primef(n/i)
if n % (i + 2) == 0:
return primef(n/(i+2))
return n
```

Here is my hashcode helper.

It's advantage is that it uses generic type arguments and therefore will not cause boxing:

```
public static class HashHelper
{
public static int GetHashCode<T1, T2>(T1 arg1, T2 arg2)
{
unchecked
{
return 31 * arg1.GetHashCode() + arg2.GetHashCode();
}
}
public static int GetHashCode<T1, T2, T3>(T1 arg1, T2 arg2, T3 arg3)
{
unchecked
{
int hash = arg1.GetHashCode();
hash = 31 * hash + arg2.GetHashCode();
return 31 * hash + arg3.GetHashCode();
}
}
public static int GetHashCode<T1, T2, T3, T4>(T1 arg1, T2 arg2, T3 arg3,
T4 arg4)
{
unchecked
{
int hash = arg1.GetHashCode();
hash = 31 * hash + arg2.GetHashCode();
hash = 31 * hash + arg3.GetHashCode();
return 31 * hash + arg4.GetHashCode();
}
}
public static int GetHashCode<T>(T[] list)
{
unchecked
{
int hash = 0;
foreach (var item in list)
{
hash = 31 * hash + item.GetHashCode();
}
return hash;
}
}
public static int GetHashCode<T>(IEnumerable<T> list)
{
unchecked
{
int hash = 0;
foreach (var item in list)
{
hash = 31 * hash + item.GetHashCode();
}
return hash;
}
}
/// <summary>
/// Gets a hashcode for a collection for that the order of items
/// does not matter.
/// So {1, 2, 3} and {3, 2, 1} will get same hash code.
/// </summary>
public static int GetHashCodeForOrderNoMatterCollection<T>(
IEnumerable<T> list)
{
unchecked
{
int hash = 0;
int count = 0;
foreach (var item in list)
{
hash += item.GetHashCode();
count++;
}
return 31 * hash + count.GetHashCode();
}
}
/// <summary>
/// Alternative way to get a hashcode is to use a fluent
/// interface like this:<br />
/// return 0.CombineHashCode(field1).CombineHashCode(field2).
/// CombineHashCode(field3);
/// </summary>
public static int CombineHashCode<T>(this int hashCode, T arg)
{
unchecked
{
return 31 * hashCode + arg.GetHashCode();
}
}
```

Also it has extension method to provide a fluent interface, so you can use it like this:

```
public override int GetHashCode()
{
return HashHelper.GetHashCode(Manufacturer, PartN, Quantity);
}
```

or like this:

```
public override int GetHashCode()
{
return 0.CombineHashCode(Manufacturer)
.CombineHashCode(PartN)
.CombineHashCode(Quantity);
}
```