JuliaDiff/TaylorDiff.jl

Taylor-mode automatic differentiation for higher-order derivatives

Juliajuliaautomatic-differentiationpdetaylor-series
This is stars and forks stats for /JuliaDiff/TaylorDiff.jl repository. As of 09 May, 2024 this repository has 57 stars and 7 forks.

TaylorDiff.jl TaylorDiff.jl is an automatic differentiation (AD) package for efficient and composable higher-order derivatives, implemented with operator-overloading on Taylor polynomials. Disclaimer: this project is still in early alpha stage, and APIs can change any time in the future. Discussions and potential use cases are extremely welcome! Features TaylorDiff.jl is designed with the following goals in head: Linear scaling with the order of differentiation...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
jdiaz97/Harbest.jlJulia30000
junyuan-chen/ReadStatTables.jlJuliaOther27030
AlgebraicJulia/Semagrams.jlScalaTclShell85070
lambdaclass/julia_koansJuliaMakefile31040
lambdaclass/pluto-to-bookdownJulia1000
NREL-SIIP/PowerSimulations.jlJulia2340480
caleb-allen/VimBindings.jlJulia86030
JuliaStats/HypothesisTests.jlJulia2800860
tfiers/PkgGraphs.jlJulia40020
jkrumbiegel/ReadableRegex.jlJulia168020