Modified Gram–Schmidt — where it appears
Two Gram–Schmidts
One argument changes. Classical Gram–Schmidt projects the original column onto each previous direction; modified projects what is left of it. In exact arithmetic the coefficients are identical. In floating point they differ by eight orders of magnitude in the thing that matters.
The number that is re-derived
GMRES prints a residual it never computes from its answer either. On the matrix that sends a conjugate gradient recurrence 7.3·10¹⁰ wrong, and on two others chosen to be worse, its number is never more than a factor of 2.86 out — while the basis it is computed from has lost orthogonality entirely. The disease is not iterative methods, and it is not floating point.
Named alongside it
The objects these essays reach for when they reach for this one.
OrthogonalityArnoldi iterationBackward errorGivens rotationGMRESGram–SchmidtHilbert matrixHouseholder reflectionKrylov subspaceLoss of orthogonalityNon-normalityOrthogonal projection