我在一次工作面试中被问到这个问题,我想知道其他人是如何解决这个问题的。我最擅长使用Java,但也欢迎使用其他语言的解决方案。

给定一个数字数组nums,返回一个数字数组products,其中products[i]是所有nums[j]的乘积,j != i。 输入:[1,2,3,4,5] 输出:[(2 * 3 * 4 * 5),(1 * 3 * 4 * 5),(1 * 2 * 4 * 5),(1 * 2 * 3 * 5),(1 * 2 * 3 * 4)] = [120, 60, 40, 30, 24] 你必须在O(N)中不使用除法来做这个。


当前回答

下面是我用现代c++编写的解决方案。它使用std::transform,很容易记住。

在线代码(wandbox)。

#include<algorithm>
#include<iostream>
#include<vector>

using namespace std;

vector<int>& multiply_up(vector<int>& v){
    v.insert(v.begin(),1);
    transform(v.begin()+1, v.end()
             ,v.begin()
             ,v.begin()+1
             ,[](auto const& a, auto const& b) { return b*a; }
             );
    v.pop_back();
    return v;
}

int main() {
    vector<int> v = {1,2,3,4,5};
    auto vr = v;

    reverse(vr.begin(),vr.end());
    multiply_up(v);
    multiply_up(vr);
    reverse(vr.begin(),vr.end());

    transform(v.begin(),v.end()
             ,vr.begin()
             ,v.begin()
             ,[](auto const& a, auto const& b) { return b*a; }
             );

    for(auto& i: v) cout << i << " "; 
}

其他回答

这是ptyhon版本

  # This solution use O(n) time and O(n) space
  def productExceptSelf(self, nums):
    """
    :type nums: List[int]
    :rtype: List[int]
    """
    N = len(nums)
    if N == 0: return

    # Initialzie list of 1, size N
    l_prods, r_prods = [1]*N, [1]*N

    for i in range(1, N):
      l_prods[i] = l_prods[i-1] * nums[i-1]

    for i in reversed(range(N-1)):
      r_prods[i] = r_prods[i+1] * nums[i+1]

    result = [x*y for x,y in zip(l_prods,r_prods)]
    return result

  # This solution use O(n) time and O(1) space
  def productExceptSelfSpaceOptimized(self, nums):
    """
    :type nums: List[int]
    :rtype: List[int]
    """
    N = len(nums)
    if N == 0: return

    # Initialzie list of 1, size N
    result = [1]*N

    for i in range(1, N):
      result[i] = result[i-1] * nums[i-1]

    r_prod = 1
    for i in reversed(range(N)):
      result[i] *= r_prod
      r_prod *= nums[i]

    return result

鬼鬼祟祟地绕过“不划分”规则:

sum = 0.0
for i in range(a):
  sum += log(a[i])

for i in range(a):
  output[i] = exp(sum - log(a[i]))

上下两次。在O(N)完成的工作

private static int[] multiply(int[] numbers) {
        int[] multiplied = new int[numbers.length];
        int total = 1;

        multiplied[0] = 1;
        for (int i = 1; i < numbers.length; i++) {
            multiplied[i] = numbers[i - 1] * multiplied[i - 1];
        }

        for (int j = numbers.length - 2; j >= 0; j--) {
            total *= numbers[j + 1];
            multiplied[j] = total * multiplied[j];
        }

        return multiplied;
    }

JavaScript中使用reduce的变体

const getProduct = arr => arr。Reduce ((acc, value) => acc * value); const arrayWithExclusion = (arr, node) => 加勒比海盗。Reduce ((acc, val, j) => (node !== j ?)[…Acc, val]: Acc), []); const getproductwitheexclusion = arr => { Let result = []; 对于(设I = 0;I < arrr .length;I += 1) { 结果。推动(getProduct (arrayWithExclusion(加勒比海盗,我))); } 返回结果; };

我们可以先从列表中排除nums[j](其中j != i),然后得到其余部分的乘积;下面是python解决这个难题的方法:

from functools import reduce
def products(nums):
    return [ reduce(lambda x,y: x * y, nums[:i] + nums[i+1:]) for i in range(len(nums)) ]
print(products([1, 2, 3, 4, 5]))

[out]
[120, 60, 40, 30, 24]