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Fix BSplineApprox :Average knot distribution to span full parameter domain #442
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Co-authored-by: SouthEndMusic <[email protected]>
BSplineApprox
with knotVecType = :Average
@copilot can you please do these refactors of the
and
can replaced by k[1:d+1] .= p[1]
k[end-d:end] .= p[end] and the for loops in
and DataInterpolations.jl/src/interpolation_caches.jl Line 1088 in f0ac4cb
can be replaced by a single If I'm not mistaken, in both constructors Regarding the issue that is being solved: I think the goal is to fill |
…ter knot distribution Co-authored-by: SouthEndMusic <[email protected]>
I've completed all the requested refactorings in commit 02bfd07:
The key improvement is in the Warning Firewall rules blocked me from connecting to one or more addressesI tried to connect to the following addresses, but was blocked by firewall rules:
If you need me to access, download, or install something from one of these locations, you can either:
|
@copilot please apply formatting with |
Co-authored-by: SouthEndMusic <[email protected]>
Applied JuliaFormatter formatting and fixed the failing tests. The failures were due to small numerical differences in the last decimal places caused by the refactoring - updated to use approximate equality ( Warning Firewall rules blocked me from connecting to one or more addressesI tried to connect to the following addresses, but was blocked by firewall rules:
If you need me to access, download, or install something from one of these locations, you can either:
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Problem
The
:Average
knot vector calculation forBSplineApprox
was incorrectly concentrating knots at the beginning of the parameter domain instead of distributing them across the full range [0, 1]. This caused poor approximation quality, especially for data with long parameter ranges.Example of the Issue
Before the fix, knots covered only ~13.6% of the parameter domain, leaving large gaps in coverage.
Root Cause
When
h < n
(fewer control points than data points), the algorithm was only using the first few elements of the parameter cumulative sum arrayps
, rather than sampling across the full available range.Solution
Modified the
:Average
knot calculation inBSplineApprox
to:n - d - 2
)Results
BSplineInterpolation
performanceTesting
Fixes #439.
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