Given an array of non-negative integers, you are initially positioned at the first index of the array.
Each element in the array represents your maximum jump length at that position.
Your goal is to reach the last index in the minimum number of jumps.
Example:
Input: [2,3,1,1,4] Output: 2 Explanation: The minimum number of jumps to reach the last index is 2. Jump 1 step from index 0 to 1, then 3 steps to the last index.
Note:
You can assume that you can always reach the last index.
An ingenious and not easy to understand greedy algorithm can achieve the time complexity of O(N), but in the algorithm it is necessary to record the farthest distance that the current hop can reach and the farthest distance that the previous hop can reach. , and the number of hops currently in use.
class Solution(object): def jump(self, nums): """ :type nums: List[int] :rtype: int """ ret = 0 #current hop count last = 0 #The last hop can reach the farthest distance cur = 0 #The current jump can reach the farthest distance for i in range(len(nums)): if i > last: #Need to make the next jump, update last and jump count ret last = cur ret + = 1 cur = max(cur, i+nums[i]) #Record the farthest point currently reachable return right