What is the purpose of using the NumPy SVD function in linear algebra computations?

The purpose of using the NumPy SVD function in linear algebra computations is to decompose a matrix into three separate matrices, which can help in understanding the underlying structure of the data and in solving various mathematical problems efficiently.