1306. Jump Game 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 any index with value 0.
Notice that you can not jump outside of the array at any time.
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 * 104
0 <= arr[i] < arr.length
0 <= start < arr.length
Solutions
Solution 1: BFS
We can use BFS to determine whether we can reach the index with a value of \(0\).
Define a queue \(q\) to store the currently reachable indices. Initially, enqueue the \(start\) index.
When the queue is not empty, take out the front index \(i\) of the queue. If \(arr[i] = 0\), return true
. Otherwise, mark the index \(i\) as visited. If \(i + arr[i]\) and \(i - arr[i]\) are within the array range and have not been visited, enqueue them and continue searching.
Finally, if the queue is empty, it means that we cannot reach the index with a value of \(0\), so return false
.
The time complexity is \(O(n)\), and the space complexity is \(O(n)\). Where \(n\) is the length of the array.
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