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`DataInterpolations.jl` is a SciML repository for interpolating 1D data. It supports a wide number of interpolation types, as well as taking first and second derivatives of the interpolations. Specifically, the BSplineInterpoation has a few bugs with regards to where it puts the control points, and how it calculates derivatives.
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**Information to Get Started**: See the issue https://github.com/SciML/DataInterpolations.jl/issues/419 describes the issue and a proposed solution. Specifically, this work will likely start by mirroring https://github.com/SciML/DataInterpolationsND.jl/pull/20 and re-enabling the derviative tests for BSpline interpolations.
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**Success Criteria**: Merged pull request which fixes the numerical issues
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**Recommended Skills**: Basic (undergrad-level) knowledge of calculus
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**Reviewers**: Chris Rackauckas and Oscar Smith
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In Progress: Claimed by ajatshatru01 for the time period of (23/12/2025) - (23/1/2026).
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## Update CUTEst.jl to the Optimization.jl Interface and Add to SciMLBenchmarks (\$200)
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**In Progress**: Claimed by Jash Ambaliya(AJ0070) for the time period of January 06, 2026 - February 06, 2026.
@@ -711,3 +697,16 @@ General performance optimization and multi-threading.
Completed by Utsav Ojha(Github:- https://github.com/ajatshatru01 )
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`DataInterpolations.jl` is a SciML repository for interpolating 1D data. It supports a wide number of interpolation types, as well as taking first and second derivatives of the interpolations. Specifically, the BSplineInterpoation has a few bugs with regards to where it puts the control points, and how it calculates derivatives.
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**Information to Get Started**: See the issue https://github.com/SciML/DataInterpolations.jl/issues/419 describes the issue and a proposed solution. Specifically, this work will likely start by mirroring https://github.com/SciML/DataInterpolationsND.jl/pull/20 and re-enabling the derviative tests for BSpline interpolations.
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**Success Criteria**: Merged pull request(https://github.com/SciML/DataInterpolations.jl/pull/502 ) which fixes and clarifies the numerical issues
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**Recommended Skills**: Basic (undergrad-level) knowledge of calculus
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