Skip to main content

Just-in-Time Compilation for Ordinary Differential Equations

Project description

JiTCODE stands for just-in-time compilation for ordinary differential equations and is an extension of SciPy’s ODE (scipy.integrate.ode). Where SciPy’s ODE takes a Python function as an argument, JiTCODE takes an iterable (or generator function) of SymPy expressions, which it translates to C code, compiles on the fly, and uses as the function to feed into SciPy’s ODE. If you want to integrate delay or stochastic differential equations, check out JiTCDDE, or JiTCSDE, respectively.

This work was supported by the Volkswagen Foundation (Grant No. 88463).

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

jitcode-1.3.2.tar.gz (30.3 kB view details)

Uploaded Source

File details

Details for the file jitcode-1.3.2.tar.gz.

File metadata

  • Download URL: jitcode-1.3.2.tar.gz
  • Upload date:
  • Size: 30.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.9.1 pkginfo/1.4.1 requests/2.18.4 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

File hashes

Hashes for jitcode-1.3.2.tar.gz
Algorithm Hash digest
SHA256 84348cfecba84e3865a864259e9c98417e4facdcb2963d1fe27565c6994ea7c2
MD5 17c2886c8b5c2e44a5419c85e0467d15
BLAKE2b-256 1d973f63e2eb094e87b106603d674ac17bdadb43c91551c7aa6c86bcd3ac932c

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