LeetCode_CC150
  • Introduction
  • LeetCode
    • Single Number
    • Contains Duplicate
    • Happy Number
    • Valid Anagram
    • Contains Duplicate II
    • Count Primes
    • Isomorphic Strings
    • Word Pattern
    • Island Perimeter
    • Find the Difference
    • Palindrome Permutation
    • Two Sum III - Data structure design
    • Number of Boomerangs
    • Longest Palindrome
    • Logger Rate Limiter
    • Find All Anagrams in a String
    • Keyboard Row
    • Distribute Candies
    • Shortest Word Distance
    • Majority Element
    • Plus One
    • Best Time to Buy and Sell Stock
    • Best Time to Buy and Sell Stock II
    • Pascal's Triangle
    • Remove Element
    • Rotate Array
    • Pascal's Triangle II
    • Two Sum II - Input array is sorted
    • Third Maximum Number
    • Max Consecutive Ones
    • K-diff Pairs in an Array
    • Maximum Product of Three Numbers
    • Maximum Distance in Arrays
    • Shortest Unsorted Continuous Subarray
    • Roman to Integer
    • Count and Say
    • Valid Parentheses
    • Longest Common Prefix
    • Valid Palindrome
    • Length of Last Word
    • Repeated Substring Pattern
    • Number of Segments in a String
    • Valid Word Abbreviation
    • Longest Uncommon Subsequence I
    • Student Attendance Record I
    • Reverse Words in a String III
    • Arranging Coins
    • Guess Number Higher or Lower
    • Search Insert Position
    • Min Stack
    • Diameter of Binary Tree
    • Unique Binary Search Trees
    • Unique Binary Search Trees II
    • Binary Tree Zigzag Level Order Traversal
    • Nim Game
    • Add Digits
    • Fizz Buzz
    • Climbing Stairs
    • Array Partition I
    • Power of Three
    • Power of Four
    • Power of Two
    • Ugly Number
    • Find All Numbers Disappeared in an Array
    • Find All Duplicates in an Array
    • Minimum Moves to Equal Array Elements
    • Meeting Rooms
    • Subsets
    • Subsets II
    • Count Complete Tree Nodes
    • Minimum Size Subarray Sum
    • Maximum Size Subarray Sum Equals k
    • Sparse Matrix Multiplication
    • Meeting Rooms II
    • Letter Combinations of a Phone Number
    • Binary Tree Vertical Order Traversal
    • Find the Celebrity
    • Merge Intervals
    • One Edit Distance
    • Multiply Strings
  • Array&String
    • Subarray Sum
    • Maximum Subarray
    • Intersection of Two Arrays
    • Intersection of Two Arrays II
    • Partition List
    • Merge Sorted Array
    • Two Sum
    • 3Sum
    • Product of Array Except Self
    • Rotate Image
    • Spiral Matrix
  • Linked List
    • Merge Two Sorted Lists
    • Insert into a Cyclic Sorted List
    • Sort List
    • Linked List Cycle
    • Copy List with Random Pointer
    • Add Two Numbers
    • Delete Node in a Linked List
    • Reverse Linked List
    • Odd Even Linked List
    • Intersection of Two Linked Lists
    • Palindrome Linked List
    • Insertion Sort List
    • Remove Linked List Elements
    • Remove Duplicates from Sorted List
    • Swap Nodes in Pairs
    • Remove Nth Node From End of List
  • Binary Search
    • Missing Number
    • Valid Perfect Square
    • 744. Find Smallest Letter Greater Than Target
    • Sqrt(x)
    • First Bad Version
    • Pow(x, n)
    • Find the Duplicate Number
    • Find Minimum in Rotated Sorted Array
    • Find Minimum in Rotated Sorted Array II
    • Total Occurrence of Target
    • Search in a Big Sorted Array
    • Longest Increasing Subsequence
    • Find Peak Element
    • Search in Rotated Sorted Array
    • Search a 2D Matrix
    • Search a 2D Matrix II
    • Closest Number in Sorted Array
    • Search in Rotated Sorted Array II
    • Search for a Range
    • Maximum Number in Mountain Sequence
    • Last Position of Target
    • K Closest Numbers In Sorted Array
    • Sqrt(x) II
  • Binary Tree
    • Maximum Depth of Binary Tree
    • Invert Binary Tree
    • Same Tree
    • Binary Tree Paths
    • Lowest Common Ancestor of a Binary Search Tree
    • Balanced Binary Tree
    • Convert Sorted Array to Binary Search Tree
    • Symmetric Tree
    • Path Sum
    • Minimum Depth of Binary Tree
    • Binary Tree Preorder Traversal
    • Binary Tree Inorder Traversal
    • Binary Tree Level Order Traversal
    • Binary Tree Level Order Traversal II
    • Minimum Subtree
    • Flatten Binary Tree to Linked List
    • Binary Tree Longest Consecutive Sequence
    • Subtree with Maximum Average
    • Number of Islands
    • Serialize and Deserialize Binary Tree
    • Clone Graph
  • Data Structure
    • Hash Table
    • Bubble Sort
    • Selection Sort
    • Binary Search
    • Merge Sort
    • Binary Tree
    • 递归
    • DFS BFS
    • python技巧
  • two pointers
    • Reverse Vowels of a String
    • Reverse String
    • Remove Duplicates from Sorted Array
    • LeetCode 11. Container With Most Water
    • Strobogrammatic Number
    • Move Zeroes
    • Implement strStr()
  • 哈希表
    • Ransom Note
    • Minimum Index Sum of Two Lists
    • Longest Harmonious Subsequence
    • Untitled
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  • 题目大意:
  • 方法1: hashmap
  • 方法2正负号标记法:

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  1. LeetCode

Find All Numbers Disappeared in an Array

Given an array of integers where 1 ≤ a[i] ≤n(n= size of array), some elements appear twice and others appear once.

Find all the elements of [1,n] inclusive that do not appear in this array.

Could you do it without extra space and in O(n) runtime? You may assume the returned list does not count as extra space.

Example:

Input:

[4,3,2,7,8,2,3,1]


Output:

[5,6]

题目大意:

给定一个整数数组,其中1 ≤ a[i] ≤ n (n = 数组长度),一些元素出现两次,其他的出现一次。

寻找所有[1, n]中没有出现在数组中的元素。

可以不使用额外空间并在O(n)运行时间求解吗?你可以假设返回列表不算额外空间。

方法1: hashmap

class Solution(object):
    def findDisappearedNumbers(self, nums):
        """
        :type nums: List[int]
        :rtype: List[int]
        """
        hashmap = collections.Counter(nums)
        result = []
        for i in xrange(1,len(nums)+1):
            if i not in hashmap:
                result.append(i)
        return result

方法2正负号标记法:

对于每个数字nums[i],如果其对应的nums[nums[i] - 1]是正数,我们就赋值为其相反数,如果已经是负数了,就不变了,那么最后我们只要把留下的正数对应的位置+1然后加入结果res中即可,因为正数对应的元素没有被上一步骤标记过。

The basic idea is that we iterate through the input array and mark elements as negative usingnums[nums[i] -1] = -nums[nums[i]-1]. In this way all the numbers that we have seen will be marked as negative. In the second iteration, if a value is not marked as negative, it implies we have never seen that index before, so just add it to the return list.

The basic idea here is to label all appeared numbers in the array. Since we don't want to introduce extra space and given all numbers are positive(from 1 to n), negate the value in the corresponding position is one choice.

Complexity is O(n) Time and O(1) space.

注意:最后是正值的整数所在位置加一。

class Solution(object):
    def findDisappearedNumbers(self, nums):
        """
        :type nums: List[int]
        :rtype: List[int]
        """
        result = []
        for num in nums:
            if nums[abs(num)-1]>0:
                nums[abs(num)-1] = -nums[abs(num)-1]
        for i in xrange(len(nums)):
            if nums[i] > 0:
                result.append(i+1)
        return result

简化 :

class Solution(object):
    def findDisappearedNumbers(self, nums):
        """
        :type nums: List[int]
        :rtype: List[int]
        """
        for num in nums:
            if nums[abs(num)-1]>0:
                nums[abs(num)-1] = -nums[abs(num)-1]
        return [i+1 for i,n in enumerate(nums) if n>0]
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Last updated 5 years ago

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