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 productify(arr, prod, i):
    if i < len(arr):
        prod.append(arr[i - 1] * prod[i - 1]) if i > 0 else prod.append(1)
        retval = productify(arr, prod, i + 1)
        prod[i] *= retval
        return retval * arr[i]
    return 1

if __name__ == "__main__":
    arr = [1, 2, 3, 4, 5]
    prod = []
    productify(arr, prod, 0)
    print(prod)

以下是线性O(n)时间内的简单Scala版本:

def getProductEff(in:Seq[Int]):Seq[Int] = {

   //create a list which has product of every element to the left of this element
   val fromLeft = in.foldLeft((1, Seq.empty[Int]))((ac, i) => (i * ac._1, ac._2 :+ ac._1))._2

   //create a list which has product of every element to the right of this element, which is the same as the previous step but in reverse
   val fromRight = in.reverse.foldLeft((1,Seq.empty[Int]))((ac,i) => (i * ac._1,ac._2 :+ ac._1))._2.reverse

   //merge the two list by product at index
   in.indices.map(i => fromLeft(i) * fromRight(i))

}

这是可行的，因为本质上答案是一个数组，它是左右所有元素的乘积。

{-
Recursive solution using sqrt(n) subsets. Runs in O(n).

Recursively computes the solution on sqrt(n) subsets of size sqrt(n). 
Then recurses on the product sum of each subset.
Then for each element in each subset, it computes the product with
the product sum of all other products.
Then flattens all subsets.

Recurrence on the run time is T(n) = sqrt(n)*T(sqrt(n)) + T(sqrt(n)) + n

Suppose that T(n) ≤ cn in O(n).

T(n) = sqrt(n)*T(sqrt(n)) + T(sqrt(n)) + n
    ≤ sqrt(n)*c*sqrt(n) + c*sqrt(n) + n
    ≤ c*n + c*sqrt(n) + n
    ≤ (2c+1)*n
    ∈ O(n)

Note that ceiling(sqrt(n)) can be computed using a binary search 
and O(logn) iterations, if the sqrt instruction is not permitted.
-}

otherProducts [] = []
otherProducts [x] = [1]
otherProducts [x,y] = [y,x]
otherProducts a = foldl' (++) [] $ zipWith (\s p -> map (*p) s) solvedSubsets subsetOtherProducts
    where 
      n = length a

      -- Subset size. Require that 1 < s < n.
      s = ceiling $ sqrt $ fromIntegral n

      solvedSubsets = map otherProducts subsets
      subsetOtherProducts = otherProducts $ map product subsets

      subsets = reverse $ loop a []
          where loop [] acc = acc
                loop a acc = loop (drop s a) ((take s a):acc)

技巧:

使用以下方法:

public int[] calc(int[] params) {

int[] left = new int[n-1]
in[] right = new int[n-1]

int fac1 = 1;
int fac2 = 1;
for( int i=0; i<n; i++ ) {
    fac1 = fac1 * params[i];
    fac2 = fac2 * params[n-i];
    left[i] = fac1;
    right[i] = fac2; 
}
fac = 1;

int[] results = new int[n];
for( int i=0; i<n; i++ ) {
    results[i] = left[i] * right[i];
}

是的，我确定我错过了一些I -1而不是I，但这是解决它的方法。

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