Quasi definite matrix — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The regularisation that legalises every order
Perturb a saddle-point matrix's two blocks in opposite directions and it acquires a factorisation with a diagonal D under every symmetric permutation — not under a good one, under all of them. Five hundred random orderings, five hundred successes, and a growth factor that spans six orders across them.
An ordering that does not wait for the numbers
A sparse factorisation's memory is decided by an ordering computed from the graph, and its stability by pivots computed from the values, and the two decisions fight. On one family of matrices they do not — the ordering can be chosen for fill alone, and the fill the symbolic phase predicts is the fill the factorisation produces — exactly, not as a bound.
Named alongside it
The objects these essays reach for when they reach for this one.
Growth factorLDLᵀ factorisationSaddle-point systemsSymbolic factorisationBunch–KaufmanElimination treeFill-inInertiaIterative refinementMinimum degreeRegularisationSparse pivoting