首页matrix_pay = np.mat([[0., b], [0, 1]])

matrix_pay = np.mat([[0., b], [0, 1]])

时间: 2024-01-05 16:03:33 浏览: 58

The_matrix_cookbook.pdf.zip

These pages are a collection of facts (identities, approxima- tions, inequalities, relations, ...) about matrices and matters relating to them. It is collected in this form for the convenience of anyone who wants a quick desktop reference .

As an AI language model, I cannot provide the exact answer without knowing the value of 'b'. However, I can explain what this line of code is doing. The code is creating a NumPy matrix called 'matrix_pay' with two rows and two columns. The values in the matrix are specified using the 'b' variable. The first row contains two elements - '0.' and 'b'. The second row contains two elements - '0' and '1'. The dot after '0' specifies that it is a floating-point number. The resulting matrix can be used for various mathematical operations such as multiplication, addition, and subtraction.

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