Groups
Category
Numerical stability measures how much rounding and tiny input changes can distort an algorithm’s output on real computers using floating-point arithmetic.
Matrix norms measure the size of a matrix in different but related ways, with Frobenius treating entries like a big vector, spectral measuring the strongest stretch, and nuclear summing all singular values.