To find the Reduced Row Echelon Form (rref) of an augmented matrix in Python, we can use the NumPy library. Here's the code:
main.py174 chars11 lines
In this example, the augmented matrix A
is defined as a NumPy array. Then, the np.linalg.qr()
function is used to find the QR decomposition of A
, which includes the rref of A
as a sub-matrix in the upper-left corner. The rref
variable is assigned this sub-matrix, and then printed to the console.
Note that while there are other ways to compute the rref of a matrix in Python, using np.linalg.qr()
is a straightforward and efficient option for most cases.
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