What is the best approach to calculating the largest prime factor of a number?
I'm thinking the most efficient would be the following:
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.
This question is related to
algorithm
math
prime-factoring
#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();
}
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;
}
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
}
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.
Here is my attempt in Clojure. Only walking the odds for prime?
and the primes for prime factors ie. sieve
. Using lazy sequences help producing the values just before they are needed.
;; Sieve of Eratosthenes
(defn sieve [[i & is :as ps] n]
(let [q (quot n i)
r (mod n i)]
(cond (zero? r) (lazy-seq (cons i (sieve ps q)))
(> (* i i) n) (when (> n 1) (lazy-seq [n]))
:else (recur is n))))
(defn prime?
([n]
(let [oddNums (iterate #(+ % 2) 3)
is (cons 2 oddNums)]
(prime? n is)))
([n [i & is]]
(let [q (quot n i)
r (mod n i)]
(cond (< n 2) false
(zero? r) false
(> (* i i) n) true
:else (recur n is)))))
(def primes
(let [oddNums (iterate #(+ % 2) 3)]
(lazy-seq (cons 2 (filter prime? oddNums)))))
(defn max-prime-factor [n]
(last (sieve primes n)))
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
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);
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
All numbers can be expressed as the product of primes, eg:
102 = 2 x 3 x 17
712 = 2 x 2 x 2 x 89
You can find these by simply starting at 2 and simply continuing to divide until the result isn't a multiple of your number:
712 / 2 = 356 .. 356 / 2 = 178 .. 178 / 2 = 89 .. 89 / 89 = 1
using this method you don't have to actually calculate any primes: they'll all be primes, based on the fact that you've already factorised the number as much as possible with all preceding numbers.
number = 712;
currNum = number; // the value we'll actually be working with
for (currFactor in 2 .. number) {
while (currNum % currFactor == 0) {
// keep on dividing by this number until we can divide no more!
currNum = currNum / currFactor // reduce the currNum
}
if (currNum == 1) return currFactor; // once it hits 1, we're done.
}
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.
Here is my approach to quickly calculate the largest prime factor.
It is based on fact that modified x
does not contain non-prime factors. To achieve that, we divide x
as soon as a factor is found. Then, the only thing left is to return the largest factor. It would be already prime.
The code (Haskell):
f max' x i | i > x = max'
| x `rem` i == 0 = f i (x `div` i) i -- Divide x by its factor
| otherwise = f max' x (i + 1) -- Check for the next possible factor
g x = f 2 x 2
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;
}
}
}
Here is the same function@Triptych 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))
I'm aware this is not a fast solution. Posting as hopefully easier to understand slow solution.
public static long largestPrimeFactor(long n) {
// largest composite factor must be smaller than sqrt
long sqrt = (long)Math.ceil(Math.sqrt((double)n));
long largest = -1;
for(long i = 2; i <= sqrt; i++) {
if(n % i == 0) {
long test = largestPrimeFactor(n/i);
if(test > largest) {
largest = test;
}
}
}
if(largest != -1) {
return largest;
}
// number is prime
return n;
}
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;
}
This is probably not always faster but more optimistic about that you find a big prime divisor:
N
is your numberreturn(N)
Sqrt(N)
N is divisible by Prime
then Return(Prime)
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...)
Similar to @Triptych answer but also different. In this example list or dictionary is not used. Code is written in Ruby
def largest_prime_factor(number)
i = 2
while number > 1
if number % i == 0
number /= i;
else
i += 1
end
end
return i
end
largest_prime_factor(600851475143)
# => 6857
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:
Also see this question.
The simplest solution is a pair of mutually recursive functions.
The first function generates all the prime numbers:
The second function returns the prime factors of a given number n
in increasing order.
n
.The largest prime factor of n
is the last number given by the second function.
This algorithm requires a lazy list or a language (or data structure) with call-by-need semantics.
For clarification, here is one (inefficient) implementation of 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 xs@(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
Making this faster is just a matter of being more clever about detecting which numbers are prime and/or factors of n
, but the algorithm stays the same.
#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
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;
}
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;
}
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;
}
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
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 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
}
Source: Stackoverflow.com