HyperJet

HyperJet — Algorithmic Differentiation with Hyper-Dual numbers for Python and C++

A header-only library for algorithmic differentiation with hyper-dual numbers. Written in C++17 with an extensive Python interface.

PyPI DOI Build Status PyPI - License PyPI - Python Version PyPI - Format Language grade: C/C++

Installation

pip install hyperjet

Quickstart

Import the module:

import hyperjet as hj

Create a set of variables e.g. x=3 and y=6:

x, y = hj.variables([3, 6])

x and y are hyper-dual numbers. This is indicated by the postfix hj:

x
>>> 3hj

Get the value as a simple float:

x.f
>>> 3

The hyper-dual number stores the derivatives as a numpy array.

Get the first order derivatives (Gradient) of a hyper-dual number:

x.g  # = [dx/dx, dx/dy]
>>> array([1., 0.])

Get the second order derivatives (Hessian matrix):

x.hm()  # = [[d^2 x/ dx**2 , d^2 x/(dx*dy)],
        #    [d^2 x/(dx*dy), d^2 x/ dy**2 ]]
>>> array([[0., 0.],
           [0., 0.]])

For a simple variable these derivatives are trivial.

Now do some computations:

f = (x * y) / (x - y)
f
>>> -6hj

The result is again a hyper-dual number.

Get the first order derivatives of f with respect to x and y:

f.g  # = [df/dx, df/dy]
>>> array([-4.,  1.])

Get the second order derivatives of f:

f.hm()  # = [[d^2 f/ dx**2 , d^2 f/(dx*dy)],
        #    [d^2 f/(dx*dy), d^2 f/ dy**2 ]]
>>> array([[-2.66666667,  1.33333333],
           [ 1.33333333, -0.66666667]])

You can use numpy to perform vector and matrix operations.

Compute the nomalized cross product of two vectors u = [1, 2, 2] and v = [4, 1, -1] with hyper-dual numbers:

import numpy as np

variables = hj.DDScalar.variables([1, 2,  2,
                                   4, 1, -1])

u = np.array(variables[:3])  # = [1hj, 2hj,  2hj]
v = np.array(variables[3:])  # = [4hj, 1hj, -1hj]

normal = np.cross(u, v)
normal /= np.linalg.norm(normal)
normal
>>> array([-0.331042hj, 0.744845hj, -0.579324hj], dtype=object)

The result is a three-dimensional numpy array containing hyper-dual numbers.

Get the value and derivatives of the x-component:

normal[0].f
>>> -0.3310423554409472

normal[0].g
>>> array([ 0.00453483, -0.01020336,  0.00793595,  0.07255723, -0.16325376, 0.12697515])

normal[0].hm()
>>> array([[ 0.00434846, -0.01091775,  0.00647611, -0.0029818 , -0.01143025, -0.02335746],
           [-0.01091775,  0.02711578, -0.01655522,  0.00444165,  0.03081974,  0.04858632],
           [ 0.00647611, -0.01655522,  0.0093492 , -0.00295074, -0.02510461, -0.03690759],
           [-0.0029818 ,  0.00444165, -0.00295074, -0.02956956,  0.03025289, -0.01546811],
           [-0.01143025,  0.03081974, -0.02510461,  0.03025289,  0.01355789, -0.02868433],
           [-0.02335746,  0.04858632, -0.03690759, -0.01546811, -0.02868433,  0.03641839]])

Reference

If you use HyperJet, please refer to the official GitHub repository:

@misc{HyperJet,
  author = "Thomas Oberbichler",
  title = "HyperJet",
  howpublished = "\url{http://github.com/oberbichler/HyperJet}",
}

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
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Avatar for oberbichler from gravatar.com oberbichler

Credits

Author: Thomas Oberbichler

License

MIT License

Requires

Python >=3.6

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for oberbichler from gravatar.com oberbichler

Credits

Author: Thomas Oberbichler

License

MIT License

Requires

Python >=3.6

Classifiers

Report project as malware

Release files for hyperjet 1.5.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hyperjet 1.5.0
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hyperjet-1.5.0.tar.gz 5.4 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for hyperjet 1.5.0
File
hyperjet-1.5.0-cp311-cp311-win_amd64.whl 860.2 kB CPython 3.11 CPython 3.11 Windows x86-64 Details
hyperjet-1.5.0-cp311-cp311-win32.whl 673.0 kB CPython 3.11 CPython 3.11 Windows x86-32 Details
hyperjet-1.5.0-cp311-cp311-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp311-cp311-musllinux_1_1_i686.whl 1.7 MB CPython 3.11 CPython 3.11 Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl 1.1 MB CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl 1.1 MB CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
hyperjet-1.5.0-cp311-cp311-macosx_10_9_universal2.whl 2.1 MB CPython 3.11 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) Details
hyperjet-1.5.0-cp310-cp310-win_amd64.whl 858.7 kB CPython 3.10 CPython 3.10 Windows x86-64 Details
hyperjet-1.5.0-cp310-cp310-win32.whl 672.0 kB CPython 3.10 CPython 3.10 Windows x86-32 Details
hyperjet-1.5.0-cp310-cp310-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp310-cp310-musllinux_1_1_i686.whl 1.7 MB CPython 3.10 CPython 3.10 Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl 1.2 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl 1.1 MB CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
hyperjet-1.5.0-cp310-cp310-macosx_10_9_universal2.whl 2.1 MB CPython 3.10 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64) Details
hyperjet-1.5.0-cp39-cp39-win_amd64.whl 862.7 kB CPython 3.9 CPython 3.9 Windows x86-64 Details
hyperjet-1.5.0-cp39-cp39-win32.whl 673.2 kB CPython 3.9 CPython 3.9 Windows x86-32 Details
hyperjet-1.5.0-cp39-cp39-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp39-cp39-musllinux_1_1_i686.whl 1.7 MB CPython 3.9 CPython 3.9 Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl 1.2 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl 1.1 MB CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
hyperjet-1.5.0-cp39-cp39-macosx_10_9_universal2.whl 2.1 MB CPython 3.9 CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64) Details
hyperjet-1.5.0-cp38-cp38-win_amd64.whl 858.7 kB CPython 3.8 CPython 3.8 Windows x86-64 Details
hyperjet-1.5.0-cp38-cp38-win32.whl 673.2 kB CPython 3.8 CPython 3.8 Windows x86-32 Details
hyperjet-1.5.0-cp38-cp38-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp38-cp38-musllinux_1_1_i686.whl 1.7 MB CPython 3.8 CPython 3.8 Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl 1.1 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl 1.1 MB CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
hyperjet-1.5.0-cp38-cp38-macosx_10_9_universal2.whl 2.1 MB CPython 3.8 CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) Details
hyperjet-1.5.0-cp37-cp37m-win_amd64.whl 832.5 kB CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
hyperjet-1.5.0-cp37-cp37m-win32.whl 681.9 kB CPython 3.7 CPython 3.7 pymalloc Windows x86-32 Details
hyperjet-1.5.0-cp37-cp37m-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp37-cp37m-musllinux_1_1_i686.whl 1.8 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl 1.1 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp37-cp37m-macosx_10_9_x86_64.whl 1.1 MB CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details
hyperjet-1.5.0-cp36-cp36m-win_amd64.whl 832.7 kB CPython 3.6 CPython 3.6 pymalloc Windows x86-64 Details
hyperjet-1.5.0-cp36-cp36m-win32.whl 681.7 kB CPython 3.6 CPython 3.6 pymalloc Windows x86-32 Details
hyperjet-1.5.0-cp36-cp36m-musllinux_1_1_x86_64.whl 1.7 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64 Details
hyperjet-1.5.0-cp36-cp36m-musllinux_1_1_i686.whl 1.8 MB CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-32 Details
hyperjet-1.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.1 MB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 Details
hyperjet-1.5.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl 1.2 MB CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32 Details
hyperjet-1.5.0-cp36-cp36m-macosx_10_9_x86_64.whl 1.1 MB CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 Details

Total release size: 58.3 MB

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