BSD Ports

math/py-algopy 0.5.7_4 DragonFly

Algorithmic Differentiation (AD) and Taylor polynomial approximations

System
DragonFly
Repository
DPorts
Maintainer
[email protected] (as in FreeBSD)
License
BSD3CLAUSE
Categories
math, python
Package size
255.0 KiB, 2342.9 KiB installed

Description

The purpose of AlgoPy is the evaluation of higher-order derivatives in the forward and reverse mode of Algorithmic Differentiation (AD) of functions that are implemented as Python programs. Particular focus are functions that contain numerical linear algebra functions as they often appear in statistically motivated functions. The intended use of AlgoPy is for easy prototyping at reasonable execution speeds. More precisely, for a typical program a directional derivative takes order 10 times as much time as time as the function evaluation. This is approximately also true for the gradient.

In the other systems

SystemPortVersion
DragonFlymath/py-algopy0.5.7_4
FreeBSDmath/py-algopy0.7.2

Install

Binary package:

pkg install py311-algopy

From DPorts:

cd /usr/dports/math/py-algopy && make install clean

Dependencies

Run dependencies 2

No port depends on this one.