<LeetCode OJ> 274 / 275 H-Index(I / II)

本文介绍了一种计算研究人员h指数的方法,包括未排序和已排序两种情况下的算法实现。通过排序和二分查找的方式,有效地找到了满足条件的h指数。

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Total Accepted: 37719  Total Submissions: 125936  Difficulty: Medium

Given an array of citations (each citation is a non-negative integer) of a researcher, write a function to compute the researcher's h-index.

According to the definition of h-index on Wikipedia: "A scientist has index h if h of his/her N papers have at least h citations each, and the other N − h papers have no more than h citations each."

For example, given citations = [3, 0, 6, 1, 5], which means the researcher has 5 papers in total and each of them had received 3, 0, 6, 1, 5 citations respectively. Since the researcher has 3 papers with at least 3 citations each and the remaining two with no more than 3 citations each, his h-index is 3.

Note: If there are several possible values for h, the maximum one is taken as the h-index.


分析:

本题比较简单,不多说!

class Solution {
public:
    int hIndex(vector<int>& citations) {
        sort(citations.begin(),citations.end());//排序
        for(int i=0;i<citations.size();i++)
            if(citations[i] >= (citations.size()-i))//如果当前引用数大于它的位置(倒着数),那么就是他了
                return (citations.size()-i);
        return 0;        
    }
};



Total Accepted: 25892  Total Submissions: 78747  Difficulty: Medium

Follow up for H-Index: What if the citations array is sorted in ascending order? Could you optimize your algorithm?

Hint:

  1. Expected runtime complexity is in O(log n) and the input is sorted.

分析:

class Solution {
public:
    int hIndex(vector<int>& citations) {
        if (citations.empty()) 
            return 0;
        int start = 0, len = citations.size(), end = len - 1;
        while (start <= end) {
            int mid = (start + end)/2;
            if (citations[mid] < len - mid)
                start = mid + 1;
            else if (citations[mid] > len - mid)
                end = mid - 1;
            else 
                return len - mid;
        }
        return len - start;
    }
};

另外的写作形式:

class Solution {
public:
    int hIndex(vector<int>& citations) {
        int len = citations.size(), low = 0, height = len-1, mid;  
        while (low <= height) {  
            mid = (low + height) / 2;  
            if (citations[mid] >= len - mid)  
                height = mid-1;  
            else 
                low = mid + 1;  
        }  
        return len - low; 
    }
};






注:本博文为EbowTang原创,后续可能继续更新本文。如果转载,请务必复制本条信息!

原文地址:http://blog.youkuaiyun.com/ebowtang/article/details/50849690

原作者博客:http://blog.youkuaiyun.com/ebowtang

本博客LeetCode题解索引:http://blog.youkuaiyun.com/ebowtang/article/details/50668895

#include <stdio.h> #include <stdlib.h> // 哈希节点定义 typedef struct HashEntry{ int key; int value; struct HashEntry* next; }HashEntry; // 哈希表 typedef struct HashTable { int size; HashEntry** buckets; }HashTable; // 哈希函数 unsigned int hashfunc(const int key, int size) { return abs(key) % size; } // 创建哈希表 HashTable* create_hashtable(int size) { HashTable* table = (HashTable*)malloc(sizeof(HashTable)); table->size = size; table->buckets = (HashEntry**)calloc(size, sizeof(HashEntry*)); return table; } // 插入函数 void pushvalue(int key, int value, HashTable* table) { unsigned int index = hashfunc(key, table->size); HashEntry* bucket = table->buckets[index]; while (bucket) { if (key == bucket->key) { bucket->value = value; return; } bucket = bucket->next; } HashEntry* new_entry = (HashEntry*)malloc(sizeof(HashEntry)); new_entry->key = key; new_entry->value = value; new_entry->next = table->buckets[index]; table->buckets[index] = new_entry; } // 通过key查找value int hash_index_get(int key, int default_value, HashTable* table) { unsigned int index = hashfunc(key, table->size); HashEntry* bucket = table->buckets[index]; while (bucket) { if (key == bucket->key) { return bucket->value; } } return default_value; } int* twoSum(int* nums, int numsSize, int target, int* returnSize) { int* result = (int*)malloc(2 * sizeof(int)); *returnSize = 2; HashTable* table = create_hashtable(numsSize * 2 + 1); for (int i = 0; i < numsSize; ++i) { int need_target = target - nums[i]; if (hash_index_get(need_target, -1, table) != -1) { result[0] = hash_index_get(target - nums[i], -1, table); result[1] = i; return result; } pushvalue(nums[i], i, table); } return result; } 这是我写的力扣第一题的解,oj告诉我超时了,为什么,我能怎么优化
07-29
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