leetcode - 852. Peak Index in a Mountain Array

Description

An array arr a mountain if the following properties hold:

复制代码
arr.length >= 3
There exists some i with 0 < i < arr.length - 1 such that:
arr[0] < arr[1] < ... < arr[i - 1] < arr[i] 
arr[i] > arr[i + 1] > ... > arr[arr.length - 1]
Given a mountain array arr, return the index i such that arr[0] < arr[1] < ... < arr[i - 1] < arr[i] > arr[i + 1] > ... > arr[arr.length - 1].

You must solve it in O(log(arr.length)) time complexity.

Example 1:

复制代码
Input: arr = [0,1,0]
Output: 1

Example 2:

复制代码
Input: arr = [0,2,1,0]
Output: 1

Example 3:

复制代码
Input: arr = [0,10,5,2]
Output: 1

Constraints:

复制代码
3 <= arr.length <= 10^5
0 <= arr[i] <= 10^6
arr is guaranteed to be a mountain array.

Solution

Use binary search to solve this problem. For any middle index, it either locates at the left of the peak, or the right of the peak. If at the left, then discard the left half, otherwise discard the right half.

Time complexity: o ( log ⁡ n ) o(\log n) o(logn)

Space complexity: o ( 1 ) o(1) o(1)

Code

python3 复制代码
class Solution:
    def peakIndexInMountainArray(self, arr: List[int]) -> int:
        left, right = 0, len(arr) - 1
        while left < right:
            mid = (left + right) >> 1
            if arr[mid - 1] < arr[mid] < arr[mid + 1]:
                left = mid + 1
            elif arr[mid - 1] > arr[mid] > arr[mid + 1]:
                right = mid
            else:
                return mid
相关推荐
2301_780789666 小时前
跨平台适配!SDK 游戏盾兼容全终端游戏场景
java·网络·ddos
学长毕设7 小时前
基于springboot的食品仓库管理系统
java·spring boot·后端
ZhengEnCi7 小时前
Agent 架构怎么选:从单 Agent 到多 Agent 编排的选型决策指南
算法·架构
步行cgn7 小时前
FormHttpMessageConverter 详解:Spring MVC 中表单数据的读写转换器
java·spring·mvc
龙亘川8 小时前
构建城市公共安全数字底座:亘川智城智慧安防系统全维度解读
java·大数据·开发语言·人工智能·信息可视化
金銀銅鐵8 小时前
[Java] 用 CLI 展示 EnumMap 增删键值对时的内部变化
java·源码·ai编程
秋天的怀念_David8 小时前
第二十二夜 · 数字迷雾
java·程序人生·算法
Raas1008 小时前
AI网关部署方案?从部署到上线全流程
java·开发语言·人工智能·gateway·ai网关·企业级ai网关·企业级ai产品
Pniubi8 小时前
力扣283移动零(双指针法)
算法·leetcode·职场和发展
hhb_6189 小时前
大模型落地三重优化实战
人工智能·算法·机器学习