python numpy中给出奇异矩阵误差的矩阵逆与matlab逆的比较
我正在尝试将matlab代码转换成python。我已经逐行检查了我生成的每个元素的矩阵,它们在每个元素中都是相同的。然后,正如我所说的numpy矩阵逆,它会导致可怕的奇异矩阵误差,这在matlab中不是一个问题。有什么见解吗?将matlab代码转换成python确实令人沮丧,但必须这样做 例如,这是我试图求逆的矩阵,在matlab中可以很好地工作,但在python中不行 矩阵A-python numpy中给出奇异矩阵误差的矩阵逆与matlab逆的比较,numpy,inverse,Numpy,Inverse,我正在尝试将matlab代码转换成python。我已经逐行检查了我生成的每个元素的矩阵,它们在每个元素中都是相同的。然后,正如我所说的numpy矩阵逆,它会导致可怕的奇异矩阵误差,这在matlab中不是一个问题。有什么见解吗?将matlab代码转换成python确实令人沮丧,但必须这样做 例如,这是我试图求逆的矩阵,在matlab中可以很好地工作,但在python中不行 矩阵A- 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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有什么建议吗?在矩阵中,这产生一个66x66逆矩阵,然后我用另一个66x66矩阵进行矩阵乘法,在那个世界上一切都很好
谢谢你,我觉得纽普很好。我将上面的内容复制粘贴到一个文件中,在pandas中作为csv文件读取,并获取结果数据帧的
.values
,它给出了一个numpy数组:在[55]:xx=pd.read_csv('~/temp/temp.csv',delim_whitespace=True,header=None)在[56]:np.linalg.inv(xx.values)
中运行没有任何问题。感谢您的检查,我返回并再次检查了矩阵,在python中生成最后一个元素时,似乎缺少了最后一个元素,其中for循环没有遍历最后一个元素,而是跳过它,因此没有为M[65,65]生成任何数字,并且设置为零。我的for循环被定义为范围内的i(-10,10)
,当i=10
时,它跳过整个循环序列,我将其更新为范围内的i(-10,11)
,现在工作正常。有没有一种方法可以在python中定义for循环,以便它使用两个端点?范围总是定义为包括起点和不包括终点。这是有历史原因的,而且很容易适应。你可以定义一个函数:<代码> DEF MyoLead(开始,结束):返回范围(开始,结束+ 1)< /C>如果你真的需要它。谢谢,我主要是C++和Matlab用户,所以很容易定义任何你想要的任何语言的循环,而不是Python的情况。但是,现在一切都好了