Generator

CG iterations on the model problem, with the two preconditioners a matrix-free code can and cannot have

One function in the matfree library, called 2 times across 2 essays. Below: what it draws at its defaults, what it draws at every value an essay asks for, the 12 claims it put to the test while drawing them, and where it stands against the rule this site is named for.

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.

CG iterations on the model problem, with the two preconditioners a matrix-free code can and cannot haveAt 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.3613623633601020304050607080unknownsCG iterations to 10⁻¹⁰no preconditionerdiagonal (available)incomplete Choleskyat 400 unknownsunpreconditioned64diagonal64incomplete Cholesky24what the pattern buys2.7a Krylov method needs only productsand a preconditioner needs the entries

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.

CG iterations on the model problem, with the two preconditioners a matrix-free code can and cannot haveAt 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.3613623633601020304050607080unknownsCG iterations to 10⁻¹⁰no preconditionerdiagonal (available)incomplete Choleskyat 400 unknownsunpreconditioned64diagonal64incomplete Cholesky24what the pattern buys2.7a Krylov method needs only productsand a preconditioner needs the entries

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.

The whole library · All essays · What must fail