Finding all divisors of a number optimization

后端 未结 4 1874
一个人的身影
一个人的身影 2020-12-15 01:59

I have written the following function which finds all divisors of a given natural number and returns them as a list:

def FindAllDivisors(x):
    divList = []         


        
相关标签:
4条回答
  • 2020-12-15 02:29

    I would do a prime factor decomposition, and then compute all divisors from that result.

    0 讨论(0)
  • 2020-12-15 02:38

    I'd suggest storing the result of math.sqrt(x) in a separate variable, then checking y against it. Otherwise it will be re-calculated at each step of while, and math.sqrt is definitely not a light-weight operation.

    0 讨论(0)
  • 2020-12-15 02:43

    You can find all the divisors of a number by calculating the prime factorization. Each divisor has to be a combination of the primes in the factorization.

    If you have a list of primes, this is a simple way to get the factorization:

    def factorize(n, primes):
        factors = []
        for p in primes:
            if p*p > n: break
            i = 0
            while n % p == 0:
                n //= p
                i+=1
            if i > 0:
                factors.append((p, i));
        if n > 1: factors.append((n, 1))
    
        return factors
    

    This is called trial division. There are much more efficient methods to do this. See here for an overview.

    Calculating the divisors is now pretty easy:

    def divisors(factors):
        div = [1]
        for (p, r) in factors:
            div = [d * p**e for d in div for e in range(r + 1)]
        return div
    

    The efficiency of calculating all the divisors depends on the algorithm to find the prime numbers (small overview here) and on the factorization algorithm. The latter is always slow for very large numbers and there's not much you can do about that.

    0 讨论(0)
  • 2020-12-15 02:50

    I don't know if there's much of a performance hit, but I'm pretty sure that cast to an int is unnecessary. At least in Python 2.7, int x / int y returns an int.

    0 讨论(0)
提交回复
热议问题