Skip to main content

Dynamical low-rank solver for stochastic reaction networks

Project description

atropy: Dynamical Low-Rank Solver for Stochastic Reaction Networks

Objective

atropy solves the chemical master equation (CME) with the dynamical low-rank approximation.

atropy allows the user to build models and run simulations. Examples of use can be found on our project website.

Requirements

  • C/C++ and Fortran compilers
  • Python (>=3.10)

The following compilers were successfully tested:

  • gcc-14
  • Apple Clang 16 + gfortran-14
  • Clang 20 + Flang 20

Installation

Download the package with pip or uv by invoking

pip install atropy

or

uv pip install atropy

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atropy-0.0.6.tar.gz (149.1 kB view details)

Uploaded Source

File details

Details for the file atropy-0.0.6.tar.gz.

File metadata

  • Download URL: atropy-0.0.6.tar.gz
  • Upload date:
  • Size: 149.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.2

File hashes

Hashes for atropy-0.0.6.tar.gz
Algorithm Hash digest
SHA256 333a4e6793ef160df1f027b29394742b3e2eace26b4185b8cdf0f38ac8730bd9
MD5 28a3864fe852a8aecf9ae26ac81fcbf9
BLAKE2b-256 eb8a91861fc8ec13b0c16924001bfe3cc931e7f6c1d1f0c4f7bf96fbe069eb03

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page