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-1.7.2.tar.gz (37.0 kB view details)

Uploaded Source

File details

Details for the file jitcode-1.7.2.tar.gz.

File metadata

  • Download URL: jitcode-1.7.2.tar.gz
  • Upload date:
  • Size: 37.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for jitcode-1.7.2.tar.gz
Algorithm Hash digest
SHA256 094f89e221dd6890d2dd262529a9853f5626e730f1671e2f371f857b339f3aa3
MD5 8886b1baabeff0084ef4a259110132db
BLAKE2b-256 eed0e01bc52af79c88c0bc5c8e361fd1dc7c36fa993d1e3d3cb566f2755bae16

See more details on using hashes here.

Supported by

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