v0.2.3
TaylorDiff v0.2.3
Merged pull requests:
- enable dependabot for GitHub actions (#27) (@ranocha)
- Bump codecov/codecov-action from 2 to 3 (#28) (@dependabot[bot])
- Bump actions/checkout from 2 to 3 (#29) (@dependabot[bot])
- Fix link (#30) (@YingboMa)
- Add support for generic vector (#34) (@tansongchen)
- relax type annotation (#38) (@YichengDWu)
- Reinterpret
Vector
ofTaylorScalar
s asMatrix
(#39) (@YichengDWu) - Change AbstractVector to AbstractArray{T,1} (#45) (@mBarreau)
- Ability to deal with matrix input (#47) (@mBarreau)
- add support for erf (#49) (@rcalxrc08)
- CompatHelper: add new compat entry for SpecialFunctions at version 2, (keep existing compat) (#50) (@github-actions[bot])
- CompatHelper: add new compat entry for SliceMap at version 0.2, (keep existing compat) (#51) (@github-actions[bot])
- Bump actions/checkout from 3 to 4 (#53) (@dependabot[bot])
- Fix erf by adding IrrationalConstants (#56) (@tansongchen)
- Fix power (^) function gives NaN at 0 (#57) (@tansongchen)
- sinpi, cospi (#58) (@zhujch1)
- Add support for mixed partial derivatives (#59) (@tansongchen)
- Remove redundant frule definitions (#63) (@zhujch1)
- CompatHelper: add new compat entry for Symbolics at version 5, (keep existing compat) (#64) (@github-actions[bot])
- Neuralpde (#65) (@zhujch1)
- Ext (#66) (@zhujch1)
- NNlibExt (#67) (@zhujch1)
- Bump codecov/codecov-action from 3 to 4 (#69) (@dependabot[bot])
- Bump julia-actions/setup-julia from 1 to 2 (#71) (@dependabot[bot])
- Bump julia-actions/cache from 1 to 2 (#72) (@dependabot[bot])
- Go back to <: Real (#75) (@tansongchen)
Closed issues:
- Add to JuliaDiff website? (#26)
- Forward rules for matrix factorizations (#31)
- Allow AbstractArray as inputs (#32)
- Powers w/ 0 constant term returns NaN (#33)
- Non-Concrete Error when running on an ODE system (#35)
- The
Diffractor.jl
link is wrong (#36) - Compatibility with ComponentArrays and Zygote (#37)
- missing chainrules for
cospi
sinpi
(#40) - Derivative of x^2 = NaN at x = 0 (#41)
- TaylorDiff derivative() does not support GPU types (#42)
- Mixed partial derivatives (#43)
- Vector-valued functions (#46)
- Missing support for erf (#48)
- Add support for "fast" hyperbolic functions (#52)
- ^ is not equivalent to * for positive integer exponents in zero. (#54)
- Erf support shouldn't convert pi to Float64. (#55)
- SpecialFunctions.jl Support (#60)
- Odd behavior for for simple user defined functions (#68)
- Can't differentiate an ODE solver due to lack of isnan and other type errors. (#73)
- How to get first n derivatives all at once efficiently? (#74)