[Solved] What does the function scipy.linalg.inv do when applied to a matrix? — Ans: It calculates the inverse of a square, non-singular matrix. | SciPy

SciPy - Linear Algebra (scipy.linalg)

What does the function scipy.linalg.inv do when applied to a matrix?

AIt computes the determinant of the matrix.

BIt calculates the inverse of a square, non-singular matrix.

CIt transposes the matrix.

DIt multiplies the matrix by itself.

Step-by-Step Solution

Solution:

Step 1: Understand the purpose of scipy.linalg.inv
This function is designed to find the inverse of a matrix, which is a matrix that when multiplied by the original gives the identity matrix.
Step 2: Identify the matrix requirements
The matrix must be square (same number of rows and columns) and non-singular (determinant not zero) to have an inverse.
Final Answer:
It calculates the inverse of a square, non-singular matrix. -> Option B
Quick Check:
Inverse matrix = calculated by inv [OK]

Quick Trick: Inverse = reverse matrix effect, only for square non-singular [OK]

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