Skip to main content

DDE numerical solvers in Python.

Project description

torchdde

torchdde is a library that provides numerical solvers in Pytorch for Delay Differential Equations (DDEs) with constant delays.

Installation

pip install git@github.com:thibmonsel/torchdde.git

or locally

git clone https://github.com/thibmonsel/torchdde.git
pip install torchdde/

Documentation

Github pages hosts the documentation at : https://thibmonsel.github.io/torchdde/

To generate the documentation locally, please look at CONTRIBUTING.MD.

Quick example

import torch
from torchdde import integrate, RK2

def f(t, y, args, history):
    return y * (1 - history[0])

solver = RK2()
delays = torch.tensor([1.0])
history_values = torch.arange(1, 5).reshape(-1, 1)
history_function = lambda t: history_values
solution = integrate(f, solver, ts[0], ts[-1], ts, y0, None, dt0=ts[1]-ts[0], delays=delays)

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

torchdde-0.1.0.tar.gz (23.4 kB view details)

Uploaded Source

Built Distribution

torchdde-0.1.0-py3-none-any.whl (35.9 kB view details)

Uploaded Python 3

File details

Details for the file torchdde-0.1.0.tar.gz.

File metadata

  • Download URL: torchdde-0.1.0.tar.gz
  • Upload date:
  • Size: 23.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for torchdde-0.1.0.tar.gz
Algorithm Hash digest
SHA256 1d1a8a94a684850e7b9d3461ff9b03e17d9322f1af51603db5a5d08bc55fb043
MD5 a5ac5d5a817ec5af613f89336242b2a0
BLAKE2b-256 21fbeaa243b4d5ac3ec3d9b37988853cd49d145730068bdd5258f97b4134997d

See more details on using hashes here.

File details

Details for the file torchdde-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: torchdde-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 35.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for torchdde-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e3c8ed0569cda55144e4cf0656f6e9d3d131830b34d52defedcccb4cf664fdd3
MD5 dbaf6c6828101e07b01b9c14a2488ebb
BLAKE2b-256 1380db838e6daac381ea0f28e7328692fee475ef4576563c49d0e4ae66e309d5

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