LeetCode Summary
  • Introduction
  • DP, 动态规划类
    • Best Time to Buy and Sell Stock III 题解
    • Best Time to Buy and Sell Stock 题解
    • Climbing Stairs 题解
    • Decode Ways 题解
    • Distinct Subsequences 题解
    • Edit Distance 题解
    • Interleaving String 题解
    • Longest Palindromic Substring 题解
    • Maximum Product Subarray 题解
    • Maximum Subarray 题解
    • Minimum Path Sum 题解
    • Palindrome Partitioning 题解
    • Palindrome Partitioning II 题解
    • Scramble String 题解
    • Triangle 题解
    • Unique Binary Search Trees 题解
    • Unique Paths II 题解
    • Word Break 题解
    • Word Break II 题解
  • list, 链表相关
    • Add Two Numbers 题解
    • Convert Sorted List to Binary Search Tree 题解
    • Copy List with Random Pointer 题解
    • Insertion Sort List 题解
    • LRU Cache 题解
    • Linked List Cycle 题解
    • Linked List Cycle II 题解
    • Merge Two Sorted Lists 题解
    • Merge k Sorted Lists 题解
    • Partition List 题解
    • Remove Duplicates from Sorted List 题解
    • Remove Duplicates from Sorted List II 题解
    • Remove Nth Node From End of List 题解
    • Reorder List 题解
    • Reverse Linked List II 题解
    • Reverse Nodes in k-Group 题解
    • Rotate List 题解
    • Sort List 题解
    • Swap Nodes in Pairs 题解
  • binary tree, 二叉树相关
    • Balanced Binary Tree 题解
    • Binary Tree Inorder Traversal 题解
    • Binary Tree Level Order Traversal 题解
    • Binary Tree Level Order Traversal II 题解
    • Binary Tree Maximum Path Sum 题解
    • Binary Tree Postorder Traversal 题解
    • Binary Tree Preorder Traversal 题解
    • Binary Tree Zigzag Level Order Traversal 题解
    • Construct Binary Tree from Inorder and Postorder Traversal 题解
    • Construct Binary Tree from Preorder and Inorder Traversal 题解
    • Convert Sorted List to Binary Search Tree 题解
    • Flatten Binary Tree to Linked List 题解
    • Maximum Depth of Binary Tree 题解
    • Minimum Depth of Binary Tree 题解
    • Path Sum 题解
    • Path Sum II 题解
    • Populating Next Right Pointers in Each Node 题解
    • Populating Next Right Pointers in Each Node II 题解
    • Recover Binary Search Tree 题解
    • Same Tree 题解
    • Sum Root to Leaf Numbers 题解
    • Symmetric Tree 题解
    • Unique Binary Search Trees 题解
    • Unique Binary Search Trees II 题解
    • Validate Binary Search Tree 题解
  • sort, 排序相关
    • 3Sum Closest 题解
    • 3Sum 题解
    • 4Sum 题解
    • Insert Interval 题解
    • Longest Consecutive Sequence 题解
    • Merge Intervals 题解
    • Merge Sorted Array 题解
    • Remove Duplicates from Sorted Array 题解
    • Remove Duplicates from Sorted Array II 题解
    • Sort Colors 题解
    • Two Sum 题解
  • search, 搜索相关
    • First Missing Positive 题解
    • Find Minimum in Rotated Sorted Array 题解
    • Find Minimum in Rotated Sorted Array II 题解
    • Median of Two Sorted Arrays 题解
    • Search Insert Position 题解
    • Search a 2D Matrix 题解
    • Search for a Range 题解
    • Search in Rotated Sorted Array 题解
    • Search in Rotated Sorted Array II 题解
    • Single Number 题解
    • Single Number II 题解
  • math, 数学类相关
    • Add Binary 题解
    • Add Two Numbers 题解
    • Divide Two Integers 题解
    • Gray Code 题解
    • Integer to Roman 题解
    • Multiply Strings 题解
    • Palindrome Number 题解
    • Plus One 题解
    • [Pow(x, n) 题解](math/Pow(x,-n).md)
    • Reverse Integer 题解
    • Roman to Integer 题解
    • [Sqrt(x) 题解](math/Sqrt(x).md)
    • [String to Integer (atoi) 题解](math/String-to-Integer-(atoi).md)
    • Valid Number 题解
  • string, 字符串处理相关
    • Anagrams 题解
    • Count and Say 题解
    • Evaluate Reverse Polish Notation 题解
    • [Implement strStr() 题解](string/Implement-strStr().md)
    • Length of Last Word 题解
    • Longest Common Prefix 题解
    • Longest Palindromic Substring 题解
    • Longest Substring Without Repeating Characters 题解
    • Longest Valid Parentheses 题解
    • Minimum Window Substring 题解
    • Regular Expression Matching 题解
    • Reverse Words in a String 题解
    • Simplify Path 题解
    • Text Justification 题解
    • Valid Parentheses 题解
    • Wildcard Matching 题解
    • ZigZag Conversion 题解
  • combination and permutation, 排列组合相关
    • Combinations 题解
    • Combination Sum 题解
    • Combination Sum II 题解
    • Letter Combinations of a Phone Number 题解
    • Next Permutation 题解
    • Palindrome Partitioning 题解
    • Permutation Sequence 题解
    • Permutations 题解
    • Permutations II 题解
    • Subsets 题解
    • Subsets II 题解
    • Unique Paths 题解
  • matrix, 二维数组, 矩阵相关
    • Rotate Image 题解
    • Set Matrix Zeroes 题解
    • Spiral Matrix 题解
    • Spiral Matrix II 题解
    • Maximal Rectangle 题解
  • 回溯, BFS/DFS
    • Clone Graph 题解
    • Generate Parentheses 题解
    • N-Queens 题解
    • N-Queens II 题解
    • Restore IP Addresses 题解
    • Sudoku Solver 题解
    • Surrounded Regions 题解
    • Word Ladder 题解
    • Word Ladder II 题解
    • Word Search 题解
  • greedy, 贪心
    • Best Time to Buy and Sell Stock II 题解
    • Jump Game 题解
    • Jump Game II 题解
  • 其他
    • Candy 题解
    • Container With Most Water 题解
    • Gas Station 题解
    • Gray Code 题解
    • Max Points on a Line 题解
    • [Pascal's Triangle 题解](others/Pascal's-Triangle.md)
    • [Pascal's Triangle II 题解](others/Pascal's-Triangle-II.md)
    • Remove Element 题解
    • Trapping Rain Water 题解
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  • 利用hashmap
  • 先利用O(n)的排序

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  1. sort, 排序相关

Longest Consecutive Sequence 题解

PreviousInsert Interval 题解NextMerge Intervals 题解

Last updated 5 years ago

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题目来源:

>

Given an unsorted array of integers, find the length of the longest consecutive
elements sequence.

For example,
Given [100, 4, 200, 1, 3, 2],
The longest consecutive elements sequence is [1, 2, 3, 4]. Return its length:
4.

Your algorithm should run in O(n) complexity.

解题思路:

利用hashmap

用一个set/map记录每个数,然后挨个找相邻的数字,每找到一个就从原set/map中去掉,直到全部遍历完毕。

    int longestConsecutive(vector<int> &num)
    {
        int result = 0;
        unordered_set<int> data(num.begin(), num.end());
        while(! data.empty())
        {
            int v = *(data.begin());
            data.erase(data.begin());
            int i = 1;
            int len = 1;
            while(data.find(v-i) != data.end())
            {
                ++len;
                data.erase(data.find(v-i));
                ++i;
            }
            i = 1;
            while(data.find(v+i) != data.end())
            {
                ++len;
                data.erase(data.find(v+i));
                ++i;
            }
            result = std::max(result, len);
        }
        return result;
    }

先利用O(n)的排序

这里用基数排序radixsort,注意基数排序中内部计数排序时注意,输入可能含有负数,因此映射的下标不能是[0,9],而是还得把负数的另外一半算上即[0,18],-9->0, 9->18.

    //-9 ---> index is 0 //9 --->index is 18
    int getBucket(int n, int base)
    {
        return n / base % 10 + 9;
    }

    //按照个位(base=1)、十位(base=10)排序
    void countSort(vector<int> &num, int base)
    {
        vector<int> numback(num);
        vector<int> counts(19, 0);
        for(int i = 0; i < numback.size(); i++)
        {
            int bucket = getBucket(numback[i], base);
            ++counts[bucket];
        }
        for(int j = 1; j < counts.size(); j++)
            counts[j] += counts[j-1];
        for(int j = (int)numback.size()-1; j >= 0; j--)
        {
            int index = getBucket(numback[j], base);
            num[counts[index]-1] = numback[j];
            counts[index]--;
        }
    }
    //O(N) sort, then scan to get the result
    void radixSort(vector<int> &num)
    {
        int max = INT_MIN;
        for(int i = 0; i < num.size(); i++)
            max = std::max(max, abs(num[i])); //!! abs
        int base = 1;
        while(max / base)
        {
            countSort(num, base);
            base *= 10;
        }
    }
    //ref https://oj.leetcode.com/discuss/2731/this-problem-has-a-o-n-solution?show=4368#a4368
    int longestConsecutive2(vector<int> &num)
    {
        if(num.size() <= 1) return num.size();
        radixSort(num);
        int max = 1;
        int len = 1;
        for(int i = 1; i < num.size(); i++)
        {
            if(num[i] == num[i-1])//!!
                continue;
            if(num[i] == num[i-1] + 1)
                len++;
            else
            {
                max = std::max(max, len);
                len = 1;
            }
        }
        return std::max(max, len);
    }

这也是参考了的答案。 先用一个O(n)的排序算法,然后挨个左右看就是。 注意数组中可能含有相同的数字以及负数。

Longest Consecutive Sequence
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