Skip to main content

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 2604.0


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

Release files for DMDO 2604.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for DMDO 2604.0
File Interpreter ABI Platform
dmdo-2604.0-py3-none-any.whl Python 3 none any Details

Release files / dmdo-2604.0-py3-none-any.whl

Download URL dmdo-2604.0-py3-none-any.whl
Size 57.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cfd10204ab02ab868ecb59ca64be573c609c9d78d14b666d49387cda42435295
BLAKE2b-256 checksum
How to use checksums
03f7fcf307d018eebf400a6c5cb8f215a96799b47c231aba178564d035a3c194
Upload date
Uploaded using Trusted Publishing?
What is 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}

Release history Release notifications | RSS feed

This release

2604.0 This release

1 release file

2601.1

1 release file

2601.0

1 release file

2404

1 release file

2401

1 release file

1.3.0

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page