Hyper-dual numbers can be used to compute first and second derivatives numerically without the cancellation errors of finite-differencing schemes. This Julia implementation is directly based on the C++ implementation by Jeffrey Fike and Juan J Alonso, both of Stanford University, department of Aeronautics and Astronautics and is described in the paper:
The Development of Hyper-Dual Numbers for Exact Second Derivative Calculations
The initial Julia-ish versions (up to v3.0.1) were derived/written by Rob J Goedman (goedman@icloud.com).
HyperDualNumbers.jl v4.0.0 has been completely redone by Benoit Pasquier to make it Julia
and much better follows the structure of the JuliaDiff/DualNumbers package.]()
For a quick into, see STEPBYSTEP.md
Latest tagged versions:
- v1.1.0 (Julia 0.5 & 0.6, Oct 2017)
- v2.0.0 (Julia v0.7-, Oct 2017)
- v3.0.1 (Julia v0.7 & Julia v1.0), Aug 2018, Pkg(3))
- v4.0.0 (Julia v1.0, Nov 2018)
For details see VERSION.md
The following functions are specific to hyperdual numbers:
Hyper
,Hyper256
,Hyper128
,ishyper
,hyper_show
realpart
,ε₁part()
, replaces eps1,ε₂part()
, replaces eps2,ε₁ε₂part()
, replaces eps1eps2
In the future it is my intention to deprecate:
hyper
,hyper256
,hyper128
,eps1
,eps2
,eps1eps2