A matrix norm given by the square root of the sum of the squares of all entries; equivalently the l2 norm of the matrix viewed as a vector or sqrt(trace(A^T A)).
The Frobenius norm of a matrix is the square root of the sum of the squares of all its entries; equivalently it is the l2 norm of the vector of singular values and equals sqrt(trace(A^* A)).