Two inner rules, and the quantity one of them divides by
At its defaults it draws two inner rules, and the quantity one of them divides by. Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 26.98, a factor of 27; the λ it selects moves by 2.15. The discrepancy principle has no answer below 8 steps, where no parameter brings the residual down to the noise, and returns 0.0681 at every size above it.
inner-rule-map is one function in lib/figures/hybrid.js —
hybrid regularisation — a penalty inside the subspace, and the rule that transfers to it. 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.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 26.98, a factor of 27; the λ it selects moves by 2.15. The discrepancy principle has no answer below 8 steps, where no parameter brings the residual down to the noise, and returns 0.0681 at every size above it.
noise: 0.01
The arguments are the ones A parameter chosen on a smaller problem passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 26.98, a factor of 27; the λ it selects moves by 2.15. The discrepancy principle has no answer below 8 steps, where no parameter brings the residual down to the noise, and returns 0.0681 at every size above it.
noise: 0.1
The arguments are the ones A parameter chosen on a smaller problem passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.06 to 33.01, a factor of 31; the λ it selects moves by 2.15. The discrepancy principle has no answer below 4 steps, where no parameter brings the residual down to the noise, and returns 0.215 at every size above it.
noise: 0.001
The arguments are the ones A parameter chosen on a smaller problem passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 21.28, a factor of 21; the λ it selects moves by 14.68. The discrepancy principle has no answer below 24 steps, where no parameter brings the residual down to the noise, and returns 0.01 at every size above it.
noise: 0.02
The arguments are the ones A parameter chosen on a smaller problem passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 28.31, a factor of 28; the λ it selects moves by 2.15. The discrepancy principle has no answer below 6 steps, where no parameter brings the residual down to the noise, and returns 0.0681 at every size above it.
noise: 0.005
The arguments are the ones A parameter chosen on a smaller problem passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Three quantities against the subspace size on a logarithmic vertical axis. The trace in GCV's denominator climbs from 1.01 to 25.73, a factor of 26; the λ it selects moves by 3.16. The discrepancy principle has no answer below 12 steps, where no parameter brings the residual down to the noise, and returns 0.0464 at every size above it.
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.
9 distinct claims across 6 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.
a noise level small enough to be noise
a size the sweep is affordable at
a subspace smaller than the problem
and at this noise level it hardly moves at all
and available over most of it
and below half a per cent of noise it does move, because the answer does
and the λ it divides into moves less than it does
the discrepancy principle is undefined somewhere on this axis
the trace moves by an order of magnitude
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.