CG iterations on the model problem, with the two preconditioners a matrix-free code can and cannot have
At its defaults it draws cg iterations on the model problem, with the two preconditioners a matrix-free code can and cannot have. At 400 unknowns, conjugate gradients takes 64 iterations unpreconditioned. Diagonal preconditioning — n probes, or the analytic diagonal, and therefore available without any entries — takes 64, which is the same number, because this operator's diagonal is constant and scaling by it is scaling by a scalar. An incomplete Cholesky takes 24, a factor of 2.67, and it is defined by the sparsity pattern: there is no way to ask a subroutine for it. That factor is the price of an operator with no entries.
pattern-buys is one function in lib/figures/matfree.js —
matrix-free — what survives when the matrix is a subroutine, and what it costs. Everything below came out of it during this build, at
arguments taken from the essays rather than invented for this page. A figure here is the
figure a reader meets in an essay, and if the generator changes, this page changes with it.
At its defaults
Drawn even though every essay passes arguments — which on this site is every essay, at 100% of placements since the standard pass. A default nothing exercises is a trap for the next essay to call this with none, and this is the page where a default that has drifted from the figures around it becomes visible.
At 400 unknowns, conjugate gradients takes 64 iterations unpreconditioned. Diagonal preconditioning — n probes, or the analytic diagonal, and therefore available without any entries — takes 64, which is the same number, because this operator's diagonal is constant and scaling by it is scaling by a scalar. An incomplete Cholesky takes 24, a factor of 2.67, and it is defined by the sparsity pattern: there is no way to ask a subroutine for it. That factor is the price of an operator with no entries.
kMax: 20
The arguments are the ones A hierarchy with no grid behind it passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
At 400 unknowns, conjugate gradients takes 64 iterations unpreconditioned. Diagonal preconditioning — n probes, or the analytic diagonal, and therefore available without any entries — takes 64, which is the same number, because this operator's diagonal is constant and scaling by it is scaling by a scalar. An incomplete Cholesky takes 24, a factor of 2.67, and it is defined by the sparsity pattern: there is no way to ask a subroutine for it. That factor is the price of an operator with no entries.
What it checked while drawing
Every figure above checked its own claims on the way to being drawn, and a claim that failed
would have stopped the picture rather than shipped a wrong one. Those checks used to leave
no trace at all: a passing one returned true and the only evidence the figure had
checked anything was that nothing crashed. The list below is what they actually said, collected
by running this generator with an observer installed — not a description of
what it is believed to check.
12 distinct claims across 2 sets of arguments, grouped below by shape — because most of them are one sentence with a different number in it, and how many separate times that sentence was put to the test is the informative part.
at k = 6 diagonal preconditioning changes nothing, because the diagonal is constant — checked 8 times
a grid the dense condition number can still be taken of
and the factor grows with the grid
by a factor approaching three at the largest grid
while an incomplete Cholesky cuts the count
Against the rule
The rule does not apply to it. It factorises nothing, so there is no residual it could be withholding. That is worth stating rather than leaving blank: a site that reported the rule as satisfied by every generator would be counting mostly generators the rule never reached.
Across the library: the rule bites on 217
of 397 generators —
199 print a residual and
18 are exempt with a published reason;
180 factorise nothing.
Read from lib/residual-rule.js, which is the same body the gate enforces from,
and the gate's last check fails the build if this page and it disagree about any generator.
Where it is called
Changing this generator changes every figure on this list. That is what makes the list worth publishing rather than keeping in a check script.
A hierarchy with no grid behind it
On a graph Laplacian the algebraic V-cycle converges at 0.199 a cycle, its grid complexity is an unremarkable 3.05, and its operator complexity is 17.7 — one level of forty-one unknowns is entirely dense. The number people quote is the one that does not measure the work.
Iterating, instead of factorisingChanging the condition number on purpose
Preconditioning is usually introduced as a trick that makes an iteration converge faster. It is not a trick. It is solving a different system with the same solution and a condition number chosen rather than inherited, and the new condition number is computable.