LeetCode-Notes
  • Introduction
  • Records of Practice
  • 关于Github 不支持密码问题
  • 面试题
    • 搜索广告
    • 多模态大模型
    • 刷题记录
  • 算法代码实现
  • Python
    • Python 笔记
  • Spark
    • PySpark
    • Spark Issues
    • Spark调优笔记
  • FeatureEngineering
    • Feature Cleaning
    • Feature Selection
    • Feature Transformation
    • Feature Crossing
  • Recommendation Algorithm
    • Recall-and-PreRank
      • Non-Negative Matrix Fatorization(NMF)
      • Fatorization Machine(FM)
      • User-base/Item-base实现
      • 多路召回实现
    • Ranking
      • NeuralFM
      • DeepFM
      • Deep&Cross network (DCN)
    • DeepLearning-Basic
      • Attention
      • Dropout
      • Batch Norm
  • Machine Learning
    • XGBoost
    • Cross Entropy Loss
    • Other models
  • Graph Neural Network
    • GNN-1-Basic
  • Big Data
    • Reservoir Sampling
  • SQL
    • SQL and PySpark functions
    • Query Film Infomation
    • Create, Insert and Alter Actor Table
    • Manage Employment Data
    • Manage Employment Data -2
  • DataStructure
    • Searching
      • Find power
      • 2 Sum All Pair II
      • Two Sum
      • Search in Rotate Array
      • Search In Shifted Sorted Array II
      • Search in 2D array
      • Three Sum with duplicated values
      • Median of Two Sorted Arrays
    • Array
      • Longest Consecutive Subarray
      • Merge Two Array in-place
      • Trapping water
      • Rotate matrix
    • Sorting
      • Merge intervals
      • 排序
      • 最小的k个数
      • Find TopK largest- QuickSelect快速选择 method
      • MergeSort Linkedlist
      • 第K大元素
    • LinkedList
      • Reverse LinkedList I
      • Reverse K-group linked list
      • Detect Start of Cycle
      • HasCycle
      • DetectCycle II
      • 链表的共同节点
      • 链表中倒数第k个节点
      • 删除链表倒数第k个节点
      • 合并两个链表
      • 在排序数组中查找元素的第一个和最后一个位置
      • 删除链表里面重复的元素-1
    • Tree
      • Find Tree height (general iteration method)
      • Check BST and Check CompleteTree
      • ZigZag Order traversal
      • Binary Tree diameter I
      • Maximum Path Sum Binary Tree
      • Maximum Path Sum Binary Tree II
      • Binary Tree Path Sum To Target III
      • Tree diameter 树的直径II
      • Tree ReConstruction
      • Check if B is Subtree of A
      • The Kth smallest in Binary Search Tree
      • 打印Tree的右视图
      • 二叉搜索树的后序遍历序列
      • 重建二叉树
      • 判断二叉树是否对称
      • Path Sum to Target in Binary Tree
      • Tree-PreOrder-InOrder-PostOrder
    • Heap&Queue
      • Top-K smallest
      • 滑动窗口最大值
      • Find the K-Largest
    • 合并k个已排序的链表
    • String
      • Reverse String
      • 最长不含重复字符的子字符串
      • 最长回文串
      • 最长回文子序列-DP
    • DFS/BFS
      • Number of island
      • Number of Provinces
      • All Permutations of Subsets without duplication
      • All Permutations of Subsets with duplication
      • Combinations Of Coins
      • All Subset I (without fixing size of subset, without order, without duplication)
      • All Subset of K size without duplication II
      • All Subset of K size III (with duplication without considering order)
      • All Permutation II (with duplication and consider order)
      • Factor Combination-质数分解
    • DynamicProgramming
      • DP-解题过程
      • Find Continuous Sequence Sum to Target
      • 1800. Maximum Ascending Subarray Sum
      • NC91 最长上升子序列
      • 查找string的编码方式个数
      • Maximum Product
      • Longest Common Substring
      • Longest Common Substring-II
      • minEditCost
      • Backpack I
      • Array Hopper I
      • Minimum distance between strings
      • 最大正方形
  • Big Data Algorithms
    • Big Data Processing Algorithms
      • Reservior Sampling
      • Shuffle
      • MapReduce
      • Bloom Filter
      • BitMap
      • Heap For Big Data
Powered by GitBook
On this page

Was this helpful?

  1. DataStructure
  2. Searching

Search in Rotate Array

Medium; Binary Search;

PreviousTwo SumNextSearch In Shifted Sorted Array II

Last updated 3 years ago

Was this helpful?

1. Link

2. 题目

搜索旋转排序数组

整数数组 nums 按升序排列,数组中的值 互不相同 。

在传递给函数之前,nums 在预先未知的某个下标 k(0 <= k < nums.length)上进行了 旋转,使数组变为 [nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]](下标 从 0 开始 计数)。例如, [0,1,2,4,5,6,7] 在下标 3 处经旋转后可能变为 [4,5,6,7,0,1,2] 。

给你 旋转后 的数组 nums 和一个整数 target ,如果 nums 中存在这个目标值 target ,则返回它的下标,否则返回 -1 。

示例 1:

输入:nums = [4,5,6,7,0,1,2], target = 0 输出:4 示例 2:

输入:nums = [4,5,6,7,0,1,2], target = 3 输出:-1 示例 3:

输入:nums = [1], target = 0 输出:-1

3. 思路

  1. binary search

  2. move right pointer to middle, right = mid only when

    1. target < arr[mid] and target > arr[0]

    2. arr[mid] > target and arr[0] > arr[mid]

    3. target >arr[0] and arr[0] > arr[mid]

  3. otherwise, left = mid

  4. Time: O(logn), Space: O(1)

4. Coding

class Solution:
    def search(self, nums: List[int], target: int) -> int:
        #
        #
        #binary search
        # move right to mid
        # case1:  target > a[mid] >= a[0]
        # case2: a[0] > target > a[mid]
        # case3: target>= a[0] > a[mid]
        #
        #
        #

        if  not nums:
            return -1
        left, right = 0 , len(nums)-1
        while left < right-1:
            mid = (left + right)//2
            if (target < nums[mid] and target >=nums[0]) or (nums[mid]>target and nums[mid]<nums[0]) or (target>=nums[0] and nums[0]>nums[mid]):
                right = mid
            else:
                left = mid
        if nums[left] == target:
            return left
        if nums[right] == target:
            return right
        return -1

来源:力扣(LeetCode) 链接: 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。

https://leetcode-cn.com/problems/search-in-rotated-sorted-array
力扣
Logo