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math-deriv-numerical-check

The groupant beside math/src/deriv.rs in the Mova repository: what the code computes, what it never does, how to go back from its outputs, its invariants, cost and checks.

Facts

Implementation material. A Mova code model describes this code at one source revision: partial models, finite checks and their stated scope. It is not a reviewed general exposition, and its labels are shown as written, never raised.

Components

componentlabelwhere
approximantpartialapproximant
astpartial../syntax.json
descriptantpresentdescriptant
invariantpartialinvariant
testsexecuted bounded checkstests

Obernants

The typed relations around the forward model: the behaviour complement (what the code never does), the reverse reconstruction (every input compatible with an output) and specialised views.

idtypelabelwhere
behavior_complementbehavior_complementpartial source derived modelbehavior_complement
reverse_reconstructionreverse_reconstructionpartial source derived modelreverse_reconstruction
sampling_coordinatessampling_coordinatespartial source derived modelsampling_coordinates
metric_zerometric_zeropartial source derived modelmetric_zero
availability_filteravailability_filterpartial source derived modelavailability_filter
assurance_limitassurance_limitpartial source derived modelassurance_limit

Model text

descriptant

math-deriv-numerical-check

check_derivative substitutes eight fixed coordinates, central h=1e-5 max(|p|,1). Unsupported/nonfinite skip, >=3 with scaled discrepancy<=1e-5 accepts. Passing is finite agreement, not global identity or nonsingularity; use parent calc approximation subset.

Epoch 2026-10-31: complete source read, parent AST reused; partial finite evidence only.

approximant

Scoped forward and cost

check_derivative substitutes eight fixed coordinates, central h=1e-5 max(|p|,1). Unsupported/nonfinite skip, >=3 with scaled discrepancy<=1e-5 accepts. Passing is finite agreement, not global identity or nonsingularity; use parent calc approximation subset.

No executable percent surrogate claimed.

invariant

Scoped invariant

check_derivative substitutes eight fixed coordinates, central h=1e-5 max(|p|,1). Unsupported/nonfinite skip, >=3 with scaled discrepancy<=1e-5 accepts. Passing is finite agreement, not global identity or nonsingularity; use parent calc approximation subset.

Source range[6714,8091) bound by manifest digest. Parent domain applies, not arbitrary public states.

models

Source-scoped typed relations

behavior_complement

Fewer than3 finite usable samples excludes ok=true; any used discrepancy>1e-5 also excludes success. Skipped samples do not contribute false evidence of equality.

reverse_reconstruction

A passing check admits all f,df agreeing to tolerance at reached fixed sample neighborhoods. Functions differing elsewhere or vanishing perturbations at samples share the observation; no unique derivative recovery.

sampling_coordinates

Points are0.3,0.7,1.1,1.9,2.6,-0.4,-1.3,3.7. At each p choose h=1e-5*max(|p|,1); evaluate f(p+h),f(p-h),df(p) in cloned envs with target replaced by V::R.

metric_zero

num=(a-b)/(2h), err=|num-dv|/max(|dv|,1). Near zero derivative this is absolute scale1, not relative division by zero. Worst records maximum over used samples.

availability_filter

Missing calc::approx formula or any nonfinite a,b,dv skips sample. Unsupported unknown-call functions can yield0 usable samples even when symbolic derive returns0 by target absence.

assurance_limit

Finite differences include cancellation/truncation and float error. Eight fixed coordinates cannot prove symbolic identity or nonsingularity elsewhere; threshold is a diagnostic, not1/2/5/10% executable surrogate assurance.

tests

Evidence

See ../tests.md for actual checks and source mutant; this fragment adds no runtime test.

check_derivative substitutes eight fixed coordinates, central h=1e-5 max(|p|,1). Unsupported/nonfinite skip, >=3 with scaled discrepancy<=1e-5 accepts. Passing is finite agreement, not global identity or nonsingularity; use parent calc approximation subset.

This page in Markdown → https://md.groupants.elamur.ai/free/en/mova/math/src/deriv.rs.groupant/numerical-check.groupant/