Equality constrained least squares — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
Also named here as method of weighting — the same set of essays touches all of them, so they are one junction rather than several.
A constraint is a weight at infinity
Stack an equality constraint on top of a least-squares problem with a large weight and the answer approaches the constrained one like 1/τ². The limit is takeable to any accuracy — and how far it can be taken is a property of the solver, not of the problem. One of them stops at the square root of the precision, and one of them does not stop.
The half of a problem a sketch may touch
A sketch guarantees that a norm is preserved to within a factor. An equality constraint is a statement that a quantity is zero, and no multiplicative guarantee says anything about zero. Sketch a constrained problem written as a weighted one and the constraint is not destroyed — it is demoted, from a violation of 1/τ² to one of ε/τ, exactly half the exponent.
Named alongside it
The objects these essays reach for when they reach for this one.
Condition numberExact ground truthLeast squaresMethod of weightingSaddle-point systemsHouseholderNormal equationsOversamplingQR factorisationRandom projectionRow orderingSketching