Examples of using Two matrices in English and their translations into Chinese
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Programming
How to add two matrices.
Two matrices are considered equal if and only if:.
Let A and B be two matrices.
How can two matrices be multiplied?
The image below shows the two matrices.
How to add two matrices together.
Two matrices which are the same size can be added.
Use the following tool to multiply two matrices.
For any two matrices X and Y.
Let's see a simple example that adds two matrices.
For any two matrices X and Y, we have.
Let's use the dot() function to multiply the two matrices.
Multiplying two matrices together is more complicated.
This dispatching branching can be observed, for example,in the logic to sum two matrices:.
To add two matrices, add the no. in matching positions:.
For example, let's see how NumPy(abbreviated np)can be used for multiplying two matrices.
Multiplying two matrices corresponds to"glueing" their pictures together.
For example, let's see how NumPy(abbreviated np)can be used for multiplying two matrices.
To add or subtract two matrices, they must have the same dimension.
In addition to multiplying a matrix and a point together,you can also multiply two matrices together.
Two matrices yield the same Möbius transformation if and only if they differ by a nonzero factor.
This means that, to rotate a model and then translate it to some location,you don't need to apply two matrices.
This is consistent with the fact that two matrices can be multiplied only when their input/output dimensions match up.
The two matrices created in the example correspond to the two parts of the matrix from the introduction.
But if you use the matrix multiplication operator,*, to multiply two matrices, then the matrices must have a common inner dimension.
These two matrices define what is called a Laplacian matrix from which eigenvalues and eigenvectors are extracted.
For example, if you use the matrix right division operator,/,to divide two matrices, the matrices must have the same number of columns.
Two matrices can be multiplied, the condition being that the number of columns of the first matrix is equal to the number of rows of the second matrix. .
The following two matrices respectively provide a detailed review of recurrent audit issues for country offices and recurrent evaluation issues for country offices.