Numerical stability refers to how a malformed input affects the execution of an algorithm. In a numerically stable algorithm, errors in the input lessen in significance as the algorithm executes, having little effect on the final output.
On the other hand, in a numerically unstable algorithm, errors in the input cause a considerably larger error in the final output.
