Question

How to find nearest rank 1 matrix in frobenius norm?

Answer 1

Hey..!

The free encyclopedia. In mathematics, low-rank approximation is a minimization problem, in which the cost function measures the fit between a given matrix (the data) and an approximating matrix (the optimization variable), subject to a constraint that the approximating matrix has reduced rank.

Thanks.. :)

Answer 2

Heya !!!

in methamatics low rank approximation is a minimization problem in which the cost function measures the fit between a given natrix and approximating matrix, subject to the constant that the approximating matrix has reduced rank.

Hope this helps you ❤️❤️