请教关于编程的问题
题目Sn?=1+1/2?+1/3+…+1/3?。显然对于任意一个整数 ?，当 ? 足够大的时候，??>?。
现给出一个整数 ?，要求计算出一个最小的 ?，使得 ??>?。
输入格式
一个正整数 ?。
输出格式
一个正整数 ?。
解答
#include <iostream>
using namespace std;
int main(){
double s=1 , n=1;
int k;
cin >> k;
while(s<k){
n++;
s = s+(1/n);
}
cout << n;
}
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
显示有一个错误，谁能帮我解答一下哪儿有问题？编程实在不懂。
谢谢
你是不是打錯題目了 您的代码中存在一个小错误，它涉及到整数和浮点数的混合运算。在 C++ 中，当您将一个整数和一个浮点数相加时，整数会先被转换为浮点数，然后再进行加法运算。但是，在这个过程中，整数的精度可能会丢失。为了避免这个问题，您需要将整数显式地转换为浮点数。这里是修改后的代码：
cpp
#include <iostream>
using namespace std;
int main(){
double s=1 , n=1;
int k;
cin >> k;
while(s<k){
n++;
s = s+(1.0/n); // 将整数 n 转换为浮点数 1.0/n
}
cout << n;
}
这个修改应该可以解决您的问题。现在，该程序应该能够正确地计算出一个最小的 n，使得 Sn > k。 鬼笔环肽 发表于 2024-7-17 19:49
您的代码中存在一个小错误，它涉及到整数和浮点数的混合运算。在 C++ 中，当您将一个整数和一个浮点数相加 ...
感谢，感谢，勉强能看明白点儿。感谢
横槊赋诗 发表于 2024-7-17 19:30
你是不是打錯題目了
没有，小升初阶段，信息奥赛的题目，我是真不懂。
鬼笔环肽 发表于 2024-7-17 19:49
您的代码中存在一个小错误，它涉及到整数和浮点数的混合运算。在 C++ 中，当您将一个整数和一个浮点数相加 ...
提交了，但是还是不行哎,显示如下信息。
#include <iostream>
using namespace std;
int main(){
double s = 1.0; // 初始化为1.0以确保是浮点数
int n = 1; // n应该是整数
int k;
cin >> k;
while(s <= k){ // 注意使用<=而不是<，因为题目要求Sn>k的最小n
n++;
s = s + (1.0 / n); // 将1显式地转换为1.0，以执行浮点除法
}
cout << n; // 输出满足条件的最小n
return 0; // 最好加上return语句
}
这个是对的 鬼笔环肽 发表于 2024-7-17 19:49
您的代码中存在一个小错误，它涉及到整数和浮点数的混合运算。在 C++ 中，当您将一个整数和一个浮点数相加 ...
大佬啊
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