最近有人问我这个问题，虽然我不能得到O(N)，但我有一个不同的方法(不幸的是O(N²))，但我想无论如何都要分享。

首先转换为列表<Integer>。

遍历原始数组array.length()次。

使用while循环乘下一组所需的数字:

while (temp < list.size() - 1) {
    res *= list.get(temp);
    temp++;
}

然后将res添加到一个新数组(当然，您已经在前面声明了)，然后将数组[i]的值添加到List，依此类推。

我知道这不会有太大的用处，但这是我在面试的压力下想到的:)

    int[] array = new int[]{1, 2, 3, 4, 5};
    List<Integer> list = Arrays.stream(array).boxed().collect(Collectors.toList());
    int[] newarray = new int[array.length];
    int res = 1;
    for (int i = 0; i < array.length; i++) {
        int temp = i;
        while (temp < list.size() - 1) {
            res *= list.get(temp);
            temp++;
        }
        newarray[i] = res;
        list.add(array[i]);
        res = 1;
    }

输出:[24,120,60,40,30]

多基因润滑剂方法的一个解释是:

诀窍是构造数组(在4个元素的情况下):

{              1,         a[0],    a[0]*a[1],    a[0]*a[1]*a[2],  }
{ a[1]*a[2]*a[3],    a[2]*a[3],         a[3],                 1,  }

这两种方法都可以在O(n)中分别从左右边开始。

然后，将两个数组逐个元素相乘，得到所需的结果。

我的代码看起来是这样的:

int a[N] // This is the input
int products_below[N];
int p = 1;
for (int i = 0; i < N; ++i) {
    products_below[i] = p;
    p *= a[i];
}

int products_above[N];
p = 1;
for (int i = N - 1; i >= 0; --i) {
    products_above[i] = p;
    p *= a[i];
}

int products[N]; // This is the result
for (int i = 0; i < N; ++i) {
    products[i] = products_below[i] * products_above[i];
}

如果你也需要空间中的解是O(1)，你可以这样做(在我看来不太清楚):

int a[N] // This is the input
int products[N];

// Get the products below the current index
int p = 1;
for (int i = 0; i < N; ++i) {
    products[i] = p;
    p *= a[i];
}

// Get the products above the current index
p = 1;
for (int i = N - 1; i >= 0; --i) {
    products[i] *= p;
    p *= a[i];
}

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]))

下面是我使用python的简洁解决方案。

from functools import reduce

def excludeProductList(nums_):
    after = [reduce(lambda x, y: x*y, nums_[i:]) for i in range(1, len(nums_))] + [1]
    before = [1] + [reduce(lambda x, y: x*y, nums_[:i]) for i in range(1, len(nums_))]
    zippedList =  list(zip(before, after))
    finalList = list(map(lambda x: x[0]*x[1], zippedList))
    return finalList

def products(nums):
    prefix_products = []
    for num in nums:
        if prefix_products:
            prefix_products.append(prefix_products[-1] * num)
        else:
            prefix_products.append(num)

    suffix_products = []
    for num in reversed(nums):
        if suffix_products:
            suffix_products.append(suffix_products[-1] * num)
        else:
            suffix_products.append(num)
        suffix_products = list(reversed(suffix_products))

    result = []
    for i in range(len(nums)):
        if i == 0:
            result.append(suffix_products[i + 1])
        elif i == len(nums) - 1:
            result.append(prefix_products[i-1])
        else:
            result.append(
                prefix_products[i-1] * suffix_products[i+1]
            )
    return result

这里有一个小的递归函数(在c++中)来进行修改。它需要O(n)额外的空间(在堆栈上)。假设数组在a中，N表示数组长度，我们有:

int multiply(int *a, int fwdProduct, int indx) {
    int revProduct = 1;
    if (indx < N) {
       revProduct = multiply(a, fwdProduct*a[indx], indx+1);
       int cur = a[indx];
       a[indx] = fwdProduct * revProduct;
       revProduct *= cur;
    }
    return revProduct;
}