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LeetCode #1306 Jump Game III 跳跃游

LeetCode #1306 Jump Game III 跳跃游

作者: air_melt | 来源:发表于2022-09-11 00:24 被阅读0次

    1306 Jump Game III 跳跃游戏 III

    Description:

    Given an array of non-negative integers arr, you are initially positioned at start index of the array. When you are at index i, you can jump to i + arr[i] or i - arr[i], check if you can reach to any index with value 0.

    Notice that you can not jump outside of the array at any time.

    Example:

    Example 1:

    Input: arr = [4,2,3,0,3,1,2], start = 5
    Output: true
    Explanation:
    All possible ways to reach at index 3 with value 0 are:
    index 5 -> index 4 -> index 1 -> index 3
    index 5 -> index 6 -> index 4 -> index 1 -> index 3

    Example 2:

    Input: arr = [4,2,3,0,3,1,2], start = 0
    Output: true
    Explanation:
    One possible way to reach at index 3 with value 0 is:
    index 0 -> index 4 -> index 1 -> index 3

    Example 3:

    Input: arr = [3,0,2,1,2], start = 2
    Output: false
    Explanation: There is no way to reach at index 1 with value 0.

    Constraints:

    1 <= arr.length <= 5 * 10^4
    0 <= arr[i] < arr.length
    0 <= start < arr.length

    题目描述:

    这里有一个非负整数数组 arr,你最开始位于该数组的起始下标 start 处。当你位于下标 i 处时,你可以跳到 i + arr[i] 或者 i - arr[i]。

    请你判断自己是否能够跳到对应元素值为 0 的 任一 下标处。

    注意,不管是什么情况下,你都无法跳到数组之外。

    示例:

    示例 1:

    输入:arr = [4,2,3,0,3,1,2], start = 5
    输出:true
    解释:
    到达值为 0 的下标 3 有以下可能方案:
    下标 5 -> 下标 4 -> 下标 1 -> 下标 3
    下标 5 -> 下标 6 -> 下标 4 -> 下标 1 -> 下标 3

    示例 2:

    输入:arr = [4,2,3,0,3,1,2], start = 0
    输出:true
    解释:
    到达值为 0 的下标 3 有以下可能方案:
    下标 0 -> 下标 4 -> 下标 1 -> 下标 3

    示例 3:

    输入:arr = [3,0,2,1,2], start = 2
    输出:false
    解释:无法到达值为 0 的下标 1 处。

    提示:

    1 <= arr.length <= 5 * 10^4
    0 <= arr[i] < arr.length
    0 <= start < arr.length

    思路:

    DFS
    分别搜索两个方向直到超出边界或者到达已经搜索过的下标
    可以原地修改数组
    时间复杂度为 O(n), 空间复杂度为 O(1)

    代码:

    C++:

    class Solution 
    {
    public:
        bool canReach(vector<int>& arr, int start) 
        {
            return dfs(arr, start);
        }
    private:
        bool dfs(vector<int>& arr, int cur)
        {
            if (cur < 0 or cur >= arr.size() or arr[cur] == -1) return false;
            int step = arr[cur];
            arr[cur] = -1;
            return !step or dfs(arr, cur + step) or dfs(arr, cur - step);
        }
    };
    

    Java:

    class Solution {
        public boolean canReach(int[] arr, int start) {
            return dfs(arr, start);
        }
    
        private boolean dfs(int[] arr, int cur) {
            if (cur < 0 || cur >= arr.length || arr[cur] == -1) return false;
            int step = arr[cur];
            arr[cur] = -1;
            return step == 0 || dfs(arr, cur + step) || dfs(arr, cur - step);
        }
    }
    

    Python:

    class Solution:
        def canReach(self, arr: List[int], start: int) -> bool:
            def dfs(cur: int) -> bool:
                if not -1 < cur < len(arr) or arr[cur] == -1:
                    return False
                step, arr[cur] = arr[cur], -1
                return not step or dfs(cur + step) or dfs(cur - step)
            return dfs(start)
    

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