You are given a list of non-negative integers, a1, a2, ..., an, and a target, S. Now you have 2 symbols + and -. For each integer, you should choose one from + and - as its new symbol.

Find out how many ways to assign symbols to make sum of integers equal to target S.

Example 1:

Input: nums is [1, 1, 1, 1, 1], S is 3. 
Output: 5
Explanation: 

-1+1+1+1+1 = 3
+1-1+1+1+1 = 3
+1+1-1+1+1 = 3
+1+1+1-1+1 = 3
+1+1+1+1-1 = 3

There are 5 ways to assign symbols to make the sum of nums be target 3. 

Note:

1. The length of the given array is positive and will not exceed 20.
2. The sum of elements in the given array will not exceed 1000.
3. Your output answer is guaranteed to be fitted in a 32-bit integer.

給一個由非負整數組成的數組，和一個目標值，給數字前面加上正號或負號，然後求和，問和目標值相等的情況有多少。

解法：遞歸，循環數組裏的數字，調用遞歸函數，分別對目標值進行加上和減去當前數字，再調用遞歸，這樣就會涵蓋所有情況，若目標值為0了，則結果res自增1。

Java:

 public int findTargetSumWays(int[] nums, int s) {
        int sum = 0;
        for (int n : nums)
            sum += n;
        return sum < s || (s + sum) % 2 > 0 ? 0 : subsetSum(nums, (s + sum) >>> 1); 
    }   

    public int subsetSum(int[] nums, int s) {
        int[] dp = new int[s + 1]; 
        dp[0] = 1;
        for (int n : nums)
            for (int i = s; i >= n; i--)
                dp[i] += dp[i - n]; 
        return dp[s];
    } 

Python:

class Solution(object):
    def findTargetSumWays(self, nums, S):
        if not nums:
            return 0
        dic = {nums[0]: 1, -nums[0]: 1} if nums[0] != 0 else {0: 2}
        for i in range(1, len(nums)):
            tdic = {}
            for d in dic:
                tdic[d + nums[i]] = tdic.get(d + nums[i], 0) + dic.get(d, 0)
                tdic[d - nums[i]] = tdic.get(d - nums[i], 0) + dic.get(d, 0)
            dic = tdic
        return dic.get(S, 0)　　

C++:

class Solution {
public:
    int findTargetSumWays(vector<int>& nums, int s) {
        int sum = accumulate(nums.begin(), nums.end(), 0);
        return sum < s || (s + sum) & 1 ? 0 : subsetSum(nums, (s + sum) >> 1); 
    }   

    int subsetSum(vector<int>& nums, int s) {
        int dp[s + 1] = { 0 };
        dp[0] = 1;
        for (int n : nums)
            for (int i = s; i >= n; i--)
                dp[i] += dp[i - n];
        return dp[s];
    }
};

C++:

class Solution {
public:
    int findTargetSumWays(vector<int>& nums, int S) {
        int res = 0;
        helper(nums, S, 0, res);
        return res;
    }
    void helper(vector<int>& nums, int S, int start, int& res) {
        if (start >= nums.size()) {
            if (S == 0) ++res;
            return;
        }
        helper(nums, S - nums[start], start + 1, res);
        helper(nums, S + nums[start], start + 1, res);
    }
};

C++: 使用dp記錄中間值優化

class Solution {
public:
    int findTargetSumWays(vector<int>& nums, int S) {
        vector<unordered_map<int, int>> dp(nums.size());
        return helper(nums, S, 0, dp);
    }
    int helper(vector<int>& nums, int sum, int start, vector<unordered_map<int, int>>& dp) {
        if (start == nums.size()) return sum == 0;
        if (dp[start].count(sum)) return dp[start][sum];
        int cnt1 = helper(nums, sum - nums[start], start + 1, dp);
        int cnt2 = helper(nums, sum + nums[start], start + 1, dp);
        return dp[start][sum] = cnt1 + cnt2;
    }
};　　

C++:

class Solution {
public:
    int findTargetSumWays(vector<int>& nums, int S) {
        int n = nums.size();
        vector<unordered_map<int, int>> dp(n + 1);
        dp[0][0] = 1;
        for (int i = 0; i < n; ++i) {
            for (auto &a : dp[i]) {
                int sum = a.first, cnt = a.second;
                dp[i + 1][sum + nums[i]] += cnt;
                dp[i + 1][sum - nums[i]] += cnt;
            }
        }
        return dp[n][S];
    }
};

C++:

class Solution {
public:
    int findTargetSumWays(vector<int>& nums, int S) {
        unordered_map<int, int> dp;
        dp[0] = 1;
        for (int num : nums) {
            unordered_map<int, int> t;
            for (auto a : dp) {
                int sum = a.first, cnt = a.second;
                t[sum + num] += cnt;
                t[sum - num] += cnt;
            }
            dp = t;
        }
        return dp[S];
    }
};

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