Skip to main content

Distributed Multidisciplinary Design Optimization (DMDO)

Project description

pages-build-deployment lx-build-and-pytest win-build-and-pytest macos-build-and-pytest

DMDO_logo

DMDO

DMDO is a python implementation for the distributed multidisciplinary design optimization method called nonhierarchical analytical target cascading (NHATC)

For technical and code documentation, please visit DMDO Webpage.


Version 2601.0


License & copyright

© Ahmed H. Bayoumy

This project is licensed under the GNU General Public License v3.0 or later (GPL-3.0-or-later).

See the LICENSE file for details.


Citation

If you use this code, please cite it as shown below.

   @software{DMDO_AB,
   author       = {Bayoumy, A.},
   title        = {DMDO},
   year         = 2022,
   publisher    = {Github},
   version      = {1.3.0},
   url          = {https://github.com/Ahmed-Bayoumy/DMDO}
   }

How to use DMDO package

After installing the DMDO package using the pip command, the functions and classes of DMDO module can be imported directly to the python script as follows:

from DMDO import *

How to run DMDO from terminal

After installing the libraries listed in the requirements.txt, DMDO/DMDO.py can be called directly from a terminal window under the src directory. The path of the JSON template, which contains the problem input parameters, should be entered as an input argument to the DMDO.py call.

python ./src/DMDO/DMDO.py ./tests/test_files/Basic_MDO.yaml

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dmdo-2601.1-py3-none-any.whl (57.1 kB view details)

Uploaded Python 3

File details

Details for the file dmdo-2601.1-py3-none-any.whl.

File metadata

  • Download URL: dmdo-2601.1-py3-none-any.whl
  • Upload date:
  • Size: 57.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for dmdo-2601.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fd441f06bcf283a00599716fb83c0d984087d083aa421db021bad2e3bcfc4489
MD5 f597a74ea12050c3897b73843aff0c38
BLAKE2b-256 dcc8312ca74b6147513c93f5fdfbef65a412431a9f56f3e92f37c325c65cb9b1

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