Conditioning

Sensitivity of the exact problem to perturbations in the data.

Definition

Conditioning belongs to the problem, not to the algorithm. In linear systems it is measured by κ(A)=AA1\kappa(A)=\|A\|\,\|A^{-1}\|: if large, small errors in AA or bb can cause large errors in xx.

How it is used

It separates a poor algorithm from an intrinsically sensitive problem: changing algorithms does not remove ill-conditioning.