feat(Tactic/ComputeAsymptotics/Multiseries): introduce MultiseriesExpansion.Approximates#37419
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PR summary fdd294c699Import changes exceeding 2%
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| File | Base Count | Head Count | Change |
|---|---|---|---|
| Mathlib.Tactic.ComputeAsymptotics.Multiseries.Defs | 616 | 1781 | +1165 (+189.12%) |
Import changes for all files
| Files | Import difference |
|---|---|
Mathlib.Tactic.ComputeAsymptotics.Multiseries.Defs |
1165 |
Declarations diff
+ Approximates.coind
+ Approximates_cons
+ Approximates_nil
+ Approximates_nil_iff
+ equiv_def
+ instance (basis_hd : ℝ → ℝ) (basis_tl : Basis) :
+ replaceFun_Approximates
You can run this locally as follows
## summary with just the declaration names:
./scripts/pr_summary/declarations_diff.sh <optional_commit>
## more verbose report:
./scripts/pr_summary/declarations_diff.sh long <optional_commit>The doc-module for scripts/pr_summary/declarations_diff.sh contains some details about this script.
No changes to technical debt.
You can run this locally as
./scripts/reporting/technical-debt-metrics.sh pr_summary
- The
relativevalue is the weighted sum of the differences with weight given by the inverse of the current value of the statistic. - The
absolutevalue is therelativevalue divided by the total sum of the inverses of the current values (i.e. the weighted average of the differences).
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MultiseriesExpansion.Approximatespredicate meaning that a multiseries can be used to obtainan asymptotical approximations of its attached function.
nil,cons), a coinductive principle, and basic constructions forApproximates.This is a part of the
compute_asymptoticstactic (#28291).