Matrix-free stochastic calculation of operator norms without using adjoints The repository contains the jupyter notebooks that produce the results of figures in the experiments in the paper ...

Matrix Norm: Frobenius Form Like the Euclidean norm, but for matrices. It measures the "size" of a matrix by treating all elements as if they were part of one giant vector. Describing the Dot Product ...

We describe a rather striking extension of a wide class of inequalities. Some famous classical inequalities, such as those of Hardy and Hilbert, equate to the evaluation of the norm of a matrix ...

Such a value is called the zero-norm distance to controllability (ZNDC). We show genericity exists in this problem, so that other matrix norms (such as the 2-norm or the Frobenius norm) adopted in ...

Abstract:This paper proposes a distributed algorithm for a low-rank matrix completion, which is a problem of estimating missing entries in a given low-rank matrix. Several algorithms have been ...

This paper deals with the trace regression model where n entries or linear combinations of entries of an unknown m₁ x m₂ matrix A₀ corrupted by noise are observed. We propose a new nuclear-norm ...