Is over there a means where I deserve to calculate the inverse of a mxn non-square matrix using numpy? because using la.inv(S) seems to provide me one error the ValueError: intended square matrix

To calculation the no square procession mxn, We deserve to use np.linalg.pinv(S), right here s is the data you desire to pass.

You are watching: Can a non square matrix have an inverse

For square procession we usage np.linalg.inv(S), The train station of a procession is such that if it is multiply by the original matrix, it results in identity matrix.

note: np is numpy

We can additionally use np.linalg.inv(S) for non square matrix however in stimulate to no get any kind of error you have to slice the data S.

For an ext details top top np.linalg.pinv : https://numpy.org/doc/stable/reference/generated/numpy.linalg.pinv.html

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edited Sep 5 at 13:59

Ramahanisha GundaRamahanisha Gunda
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