一,printf与i++

1,C语言中的printf是自右向左输出,。

2,而i++与++i不同的

i++首先取得i的值,下一行时候i = i + 1;

++i,首先i = i + 1,再取得i的值。

比如

int i=;
printf("%d,%d,%d,%d,%d,%d\n",++i,--i,i++,i--,-i++,-i--);

输出结果是:8,7,8,8,-8,-8

在“printf("%d,%d,%d,%d,%d,%d\n",++i,--i,i++,i--,-i++,-i--);”语句中,i++的时候i值不变,在下一行时候,才会执行i = i + 1;++i时候i的值加1。

二,C++中cout

1,C++中cout是自右向左将数据存入栈,本数据流的数据存入完毕,再输出。

cout << 3 << 4 <<endl; //首先将4 入栈,再将3入栈,之后根据后进先出原则,先输出3,再输出4;

2,如果上面3、4是函数,那么先执行函数,把函数结果入栈。

比如

#include<iostream>
using namespace std;
int fa()
{
cout<<"fa()"<<endl;
return ;
}
int fb()
{
cout<<"fb()"<<endl;
return ;
}
int fc()
{
cout<<"fc()"<<endl;
return ;
}
int main()
{
cout<<fa()<<fb()<<fc()<<endl;
return ;
}

执行cout时候,先执行fc(),输出fc(),返回3值入栈;

再执行fb(),输出fb(),返回2值入栈;

再执行fa(),输出fa(),返回1值入栈;

最后输出123

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" 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3,如果想先输出fa(),在输出fb(),fc()。需要设置三个输出流,这样有三个栈。

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" alt="" />

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