Tags: JuliaDiff/TaylorDiff.jl
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[Diff since v0.3.4](v0.3.4...v0.3.5) **Merged pull requests:** - CompatHelper: bump compat for SymbolicUtils to 4, (keep existing compat) (#104) (@github-actions[bot]) - feat: support Symbolics@7 (#107) (@AayushSabharwal)
[Diff since v0.3.3](v0.3.3...v0.3.4) **Merged pull requests:** - Allow Zygote v0.7 (#100) (@ChrisRackauckas)
[Diff since v0.3.1](v0.3.1...v0.3.2) **Merged pull requests:** - fix `extract_derivative` when derivative is `0` (#94) (@oscardssmith) - fix sincos (#96) (@hanqizhu65) - Fix theory section of docs (#97) (@adrhill) **Closed issues:** - Make_seed error on latest version (#90)
[Diff since v0.3.0](v0.3.0...v0.3.1) Fix error in computing binary division **Merged pull requests:** - CompatHelper: add new compat entry for MacroTools at version 0.5, (keep existing compat) (#82) (@github-actions[bot]) - Bump codecov/codecov-action from 4 to 5 (#85) (@dependabot[bot]) - Pass order of derivative as Val() (#86) (@facusapienza21) - [WIP] Add test associated to Issue #87 (#88) (@facusapienza21) **Closed issues:** - ERROR: MethodError: no method matching make_seed(::Float64, ::Float64, ::Int64) (#83) - ERROR: MethodError: no method matching make_seed(::Float64, ::Float64, ::Int64) (#84) - Incorrect answer for binary division involving two `TaylorScalar`s (#87)
[Diff since v0.2.4](v0.2.4...v0.2.5) **Merged pull requests:** - CompatHelper: bump compat for SymbolicUtils to 3, (keep existing compat) (#79) (@github-actions[bot]) - CompatHelper: bump compat for Symbolics to 6, (keep existing compat) (#80) (@github-actions[bot]) - Performance of `(+,-,*,/)(::TaylorScalar,::Number)`: fresh version (#81) (@lrnv) **Closed issues:** - [TTFX] Use Packages Extensions to drop Zygote and others when not used. (#62) - Zygote compatibility does not work for Julia 1.10+ (#70)
[Diff since v0.2.3](v0.2.3...v0.2.4) **Merged pull requests:** - Bump SymbolicUtils (#77) (@ChrisRackauckas) **Closed issues:** - Register (#78)
[Diff since v0.2.1](v0.2.1...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` of `TaylorScalar`s as `Matrix` (#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)
[Diff since v0.2.1](v0.2.1...v0.2.2) **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` of `TaylorScalar`s as `Matrix` (#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) - 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)
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