![](data:image/png;base64,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)
Khi m t toán t tăng hay toán t gi m đ c s d ng nh là m t ph n c a ộ ử ử ả ượ ử ụ ư ộ ầ ủ
bi u th c, thì s có m t s khác nhau quan tr ng gi a d ng ti n t và h u ể ứ ẽ ộ ự ọ ữ ạ ề ố ậ
t . N u b n s d ng d ng ti n t thì toán t tăng ho c toán t gi m đ c ố ế ạ ử ụ ạ ề ố ử ặ ử ả ượ
th c hi n tr c bi u th c, và n u b n s d ng d ng h u t thì toán t ự ệ ướ ể ứ ế ạ ử ụ ạ ậ ố ử
tăng ho c toán t gi m đ c th c hi n sau khi bi u th c đ c c l ng.ặ ử ả ượ ự ệ ể ứ ượ ướ ượ
Ví dụ
Ví d sau gi i thích giúp b n s khác nhau này:ụ ả ạ ự
include <iostream>
using namespace std;
main()
{
int a = 21;
int c ;
// Gia tri cua a se khong duoc tang truoc khi duoc gan.
c = a++;
cout << "1, Gia tri cua a++ la: " << c << endl ;
// Sau khi gia tri cua a duoc tang thi:
cout << "2, Gia tri cua a la: " << a << endl ;
// Gia tri cua a se duoc tang truoc khi duoc gan.
c = ++a;
cout << "3, Gia tri cua ++a la: " << c << endl ;
return 0;
}
Ch y ch ng trình C++ trên s cho k t qu nh hình sau:ạ ươ ẽ ế ả ư