Skip to main content

Constrained form finding using the Force Density Method.

Project description

Constrained form finding using the Force Density Method

This package provides equilibrium solvers and constraints for constrained form finding using the "force density" method.

The solvers can be used through the compas_fd paclage directly, or through COMPAS FormFinder, which is a form finding tool with a GUI combining various different form finding approaches.

Installation

Stable releases can be installed from PyPI.

pip install compas_fd

To install the latest development version, do:

git clone https://github.com/blockresearchgroup/compas_fd.git
cd compas_fd
pip install -e ".[dev]"

Documentation

For further "getting started" instructions, a tutorial, examples, and an API reference, please check out the online documentation here: COMPAS DR docs

Issue Tracker

If you find a bug or if you have a problem with running the code, please file an issue on the Issue Tracker.

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

compas_fd-0.5.3.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

compas_fd-0.5.3-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file compas_fd-0.5.3.tar.gz.

File metadata

  • Download URL: compas_fd-0.5.3.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for compas_fd-0.5.3.tar.gz
Algorithm Hash digest
SHA256 f55802b9689e1abed3acdc91a04426f5ebd16d87e728ba8f889e536dc6ddc62d
MD5 05d68b7e872fdf4748287fe9df873db9
BLAKE2b-256 18db63a8fc37431ac8ec40643c284b7fddeb095082828b6e6580efa624eed22e

See more details on using hashes here.

File details

Details for the file compas_fd-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: compas_fd-0.5.3-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.15

File hashes

Hashes for compas_fd-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 51180033a34485b96664860088347d03342f8dc178d18f83a1eee17ee113261b
MD5 80ba7df1784083385d9a6bc2693de005
BLAKE2b-256 dad6596e7948ceb3b8ecf28051bf634cb515d614a7c60ffc7a86e85afb4512aa

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