complex division by zero
时间: 2023-12-04 11:05:33 浏览: 33
Complex division by zero is undefined, just like division by zero in real numbers. In other words, it is impossible to divide any complex number by zero. If we try to do so, we may encounter an error or an indeterminate result. Therefore, it is important to avoid dividing any complex number by zero in mathematical calculations.
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complex类
在C++中,complex类是一个标准库中的类,用于处理复数。它定义了一些成员函数和运算符以便于对复数进行操作。
复数是由实部和虚部组成的,通常表示为a+bi的形式。在complex类中,实部和虚部都是浮点数类型。可以使用complex类提供的构造函数来创建复数对象,例如:
```
#include <complex>
using namespace std;
// 创建复数对象
complex<double> z1(1.0, 2.0);
complex<double> z2(3.0, 4.0);
// 对复数进行运算
complex<double> z3 = z1 + z2;
complex<double> z4 = z1 * z2;
```
上述代码中,complex<double>表示创建一个浮点数类型的复数对象,z1和z2分别表示实部和虚部。z3和z4表示对z1和z2进行加法和乘法运算后得到的结果。
除了加法和乘法外,complex类还提供了一些其他的运算符和成员函数,例如减法、除法、取模、取共轭等操作。
complex yolo
Complex YOLO is a real-time object detection algorithm that uses a complex-valued neural network to detect objects in images. It was proposed by Peng Zhou, et al. in 2019.
The complex-valued neural network used in Complex YOLO consists of complex convolutional layers, which are able to model both the magnitude and phase information of the input data. This allows the network to capture more information about the input data compared to traditional real-valued networks.
Complex YOLO also uses a multi-task loss function that simultaneously optimizes for object detection and bounding box regression. This allows the algorithm to detect objects with high accuracy while also providing precise bounding box coordinates.
Overall, Complex YOLO is a highly accurate and efficient object detection algorithm that is capable of real-time performance on resource-limited devices.