Comments (5)
Registration pull request created: JuliaRegistries/General/1360
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if Julia TagBot is installed, or can be done manually through the github interface, or via:
git tag -a v0.2.0 -m "<description of version>" c6cd37975eb4473ef32d358396b1176365ef8e40
git push origin v0.2.0
from datainterpolations.jl.
@JuliaRegistrator register()
from datainterpolations.jl.
Registration pull request created: JuliaRegistries/General/2618
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if Julia TagBot is installed, or can be done manually through the github interface, or via:
git tag -a v1.0.0 -m "<description of version>" 4e443384cba5f63b3ad04e09ceec255257d8fefa
git push origin v1.0.0
from datainterpolations.jl.
@JuliaRegistrator register()
from datainterpolations.jl.
Registration pull request updated: JuliaRegistries/General/47971
After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.
This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:
git tag -a v3.7.0 -m "<description of version>" 287e08408e20d4a9d454e0860e8857754a2cb32a
git push origin v3.7.0
from datainterpolations.jl.
Related Issues (20)
- Few methods don't extrapolate, derivatives, integrals not implemented HOT 4
- Improve docstrings HOT 1
- Specialize the bracketing index lookup for ranges
- typos HOT 1
- Bug in derivative of Lagrange Interpolation HOT 1
- Derivative of BSplines at t=ts[1] always gives 0
- Inconsistency in Interface
- FiniteDiff vs FiniteDifferences HOT 1
- Quintic Hermite Interpolation
- ForwardDiff.gradient fails on interpolated function when passing a vector input HOT 5
- Boundary condition of Cubic Spline interpolation HOT 3
- BSplineInterpolation errors on small vectors
- Data interpolation unexpectedly behaves like a vector HOT 1
- Error displaying symbolic interpolations HOT 9
- Register HOT 5
- Type instability: Interpolations in v5 return Vector{Any} with all-Vector{Float64} inputs
- Bad type inference with RegularizationSmooth
- `AkimaInterpolation` not listed under methods section of docs
- Wrong linear interpolation integral on interval `(t[1], t[2])` HOT 1
- Type unstable when data is vector of vector
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